Relevant bibliographies by topics / Joint optimization

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Joint optimization'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 June 2024

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Joint optimization.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Joint optimization"

1

Stichler, Jaynelle F., and Laurie Ecoff. "Joint Optimization." JONA: The Journal of Nursing Administration 39, no. 4 (April 2009): 156–59. http://dx.doi.org/10.1097/nna.0b013e31819c9b95.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Singh, Ranjeet, and Er Gora Ram Sharma. "Analysis and Optimization of T Shape Weld Joint Using FEA." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (December 31, 2022): 1783–88. http://dx.doi.org/10.22214/ijraset.2022.48154.

Full text
Abstract:
Abstract: The weld joints are used in various types of mechanical and civil engineering structures to strengthen the joints. The strength of T shaped weld joint significantly depends upon the design parameters of weld joint. The current research is intended to investigate the T shaped weld joint using techniques of Finite Element Analysis (FEA). The FEA analysis is conducted on T shaped weld joint using ANSYS simulation package. The optimization studies are conducted on T shaped weld joint to determine the effect weld joint parameters on induced deformation. From the optimization studies, the dimensions corresponding to weld height is determined for maximum and minimum deformation of T shaped weld joint.
APA, Harvard, Vancouver, ISO, and other styles
3

Ozer, Halil, and Ozkan Oz. "Joint Stress Optimization by the Hybrid Adhesive Lap Joint." Advanced Materials Research 445 (January 2012): 1000–1004. http://dx.doi.org/10.4028/www.scientific.net/amr.445.1000.

Full text
Abstract:
Hybrid adhesive joint is an alternative stress reduction technique for the adhesively bonded joints. Hybrid adhesive means that it is used dual adhesives in the overlap region. Adhesive having high modulus of elasticity should be located in the middle of the bondline and the other adhesive having low modulus of elasticity at the ends. In this study, the effect of the hybrid adhesive bondline on the distributions of the peeling, shear and von Mises stress components at the single lap joint were investigated by using three-dimensional finite element model. The results show that the considered stress components can be optimized by using hybrid adhesive joint.
APA, Harvard, Vancouver, ISO, and other styles
4

Genaldy, Ashraf, and Abdolazim Houshyar. "Optimization Techniques in Occupational Biomechanics." Proceedings of the Human Factors Society Annual Meeting 33, no. 11 (October 1989): 672–76. http://dx.doi.org/10.1177/154193128903301110.

Full text
Abstract:
In most detailed representations of joint mechanics incorporating the effects of muscle forces in biomechanical models the number of available force-carrying structures crossing the joints are in excess of the number of available equilibrium of the joint. Unless one makes gross anatomical and functional simplifications, the mathematical description of joint mechanics involves an undetermined set of equations. Different approaches have been taken by researchers to solve this statically indeterminate problem, but the intuitive reasonableness of optimization in body function has led investigators to use numeral optimization procedures in the prediction of muscle force activity. This paper reviews and evaluates various optimization techniques applied to occupational biomechanics.
APA, Harvard, Vancouver, ISO, and other styles
5

Zhu, Nanhai, and Jinlei Liu. "Multiobjective Topology Optimization of Spatial-Structure Joints." Advances in Civil Engineering 2021 (April 10, 2021): 1–13. http://dx.doi.org/10.1155/2021/5530644.

Full text
Abstract:
To realize the static and dynamic multiobjective topology optimization of joints in spatial structures, structural topology optimization is carried out to maximize the stiffness under static multiload conditions and maximize the first third-order dynamic natural frequencies. According to the single-objective optimization results, the objective function of the multiobjective topology optimization of joints is established by using the compromise programming method, and the weight coefficient of each static load condition is determined by using the analytic hierarchy process. Subsequently, under the constraint of the volume fraction, the multiobjective topology optimization of joints is realized by minimizing the multiobjective function. Finally, the optimized structure is smoothed to obtain a smoother joint, and its mechanical properties are compared with those of the hollow ball joint. The results indicate that the multiobjective topology optimization that considers the static stiffness and dynamic frequency can effectively improve the mechanical properties of the structure. Through the research on multiobjective topology optimization, a new type of spatial joint with reasonable stress, a novel form, and aesthetic shape can be obtained, which mitigates the shortcomings of single-objective topology optimization. In comparison to hollow spherical joints with the same weight, topology-optimized joints have a superior ability to resist deformation and improve low-order frequency, which verifies the feasibility of applying multiobjective topology optimization to the lightweight design of joints.
APA, Harvard, Vancouver, ISO, and other styles
6

Li, Xinning, Qin Yang, Hu Wu, Shuai Tan, Qun He, Neng Wang, and Xianhai Yang. "Joints Trajectory Planning of Robot Based on Slime Mould Whale Optimization Algorithm." Algorithms 15, no. 10 (September 29, 2022): 363. http://dx.doi.org/10.3390/a15100363.

Full text
Abstract:
The joints running trajectory of a robot directly affects it’s working efficiency, stationarity and working quality. To solve the problems of slow convergence speed and weak global search ability in the current commonly used joint trajectory optimization algorithms, a joint trajectory planning method based on slime mould whale optimization algorithm (SMWOA) was researched, which could obtain the joint trajectory within a short time and with low energy consumption. On the basis of analyses of the whale optimization algorithm (WOA) and slime mould algorithm (SMA) in detail, the SMWOA was proposed by combining the two methods. By adjusting dynamic parameters and introducing dynamic weights, the proposed SMWOA increased the probability of obtaining the global optimal solution. The optimized results of 15 benchmark functions verified that the optimization accuracy of the SMWOA is clearly better than that of other classical algorithms. An experiment was carried out in which this algorithm was applied to joint trajectory optimization. Taking 6-DOF UR5 manipulator as an example, the results show that the optimized running time of the joints is reduced by 37.674% compared with that before optimization. The efficiency of robot joint motion was improved. This study provides a theoretical basis for the optimization of other engineering fields.
APA, Harvard, Vancouver, ISO, and other styles
7

Dunchenkin, P. V., V. A. Cherekaeva, T. V. Yakovleva, and A. V. Krysko. "Topological Optimization of Interconnection of Multilayer Composite Structures." Computation 11, no. 5 (April 25, 2023): 87. http://dx.doi.org/10.3390/computation11050087.

Full text
Abstract:
This study focuses on the topological optimization of adhesive overlap joints for structures subjected to longitudinal mechanical loads. The aim is to reduce peak stresses at the joint interface of the elements. Peak stresses in such joints can lead to failure of both the joint and the structure itself. A new approach based on Rational Approximation of Material Properties (RAMP) and the Finite Element Method (FEM) has been proposed to minimize peak stresses in multi-layer composite joints. Using this approach, the Mises peak stresses of the optimal structural joint have been significantly reduced by up to 50% under mechanical loading in the longitudinal direction. The paper includes numerical examples of different types of structural element connections.
APA, Harvard, Vancouver, ISO, and other styles
8

Li, Xiao Wen, Ping Li, Zhuang Lin, and Dong Mei Yang. "Analysis and Optimization of Metal to Composite Joints for Marine Structures." Applied Mechanics and Materials 556-562 (May 2014): 91–95. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.91.

Full text
Abstract:
Composite to metal joints as important components of marine structures are gradually found in the marine industry. The purpose of this study is to investigate mechanical performance and optimization method of the composite sandwich to steel joints. The main emphasis was placed on the mechanical properties of a hybrid joint between a sandwich glass fibre reinforced plastic superstructure and a steel main hull. Based on the experiments of a base joint, a new finite element method was used to analyze a series of joints. The optimized joint was presented due to reducing weight and enhancing the mechanical performance. The numerical predictions of the base hybrid joint showed a very good correlation with the experiment results, which validated the reliability of the new finite element method. The strength of the optimized joint was also evaluated by finite element method. The result is similar to the base joint. And there is no additional stress concentration in weak parts. The optimized joint has 30% lower weight than the base joint, and the stress is only about 5% ~ 56% of the base one. The results of the present work imply that the change of geometric parameter is an effective method to improve the performance of the metal to composite joint.
APA, Harvard, Vancouver, ISO, and other styles
9

Armaos, P. "A Study of Joint Cost Inclusion in Linear Programming Optimization." Engineering, Technology & Applied Science Research 3, no. 4 (August 11, 2013): 473–78. http://dx.doi.org/10.48084/etasr.327.

Full text
Abstract:
The concept of Structural Optimization has been a topic or research over the past century. Linear Programming Optimization has proved being the most reliable method of structural optimization. Global advances in linear programming optimization have been recently powered by University of Sheffield researchers, to include joint cost, self-weight and buckling considerations. A joint cost inclusion scopes to reduce the number of joints existing in an optimized structural solution, transforming it to a practically viable solution. The topic of the current paper is to investigate the effects of joint cost inclusion, as this is currently implemented in the optimization code. An extended literature review on this subject was conducted prior to familiarization with small scale optimization software. Using IntelliFORM software, a structured series of problems were set and analyzed. The joint cost tests examined benchmark problems and their consequent changes in the member topology, as the design domain was expanding. The findings of the analyses were remarkable and are being commented further on. The distinct topologies of solutions created by optimization processes are also recognized. Finally an alternative strategy of penalizing joints is presented.
APA, Harvard, Vancouver, ISO, and other styles
10

Li, Xinyue, Lei Lu, Cheng Fan, Fusheng Liang, Lining Sun, and Lei Zhang. "Ball-End Cutting Tool Posture Optimization for Robot Surface Milling Considering Different Joint Load." Applied Sciences 13, no. 9 (April 24, 2023): 5328. http://dx.doi.org/10.3390/app13095328.

Full text
Abstract:
Robots with openness and flexibility have attracted a large number of researchers to conduct in-depth studies in the field of surface machining. However, there is a redundant degree of freedom (DOF) in 6-DOF robot machining: when a ball end milling cutter is used to process curved parts, the tool point needs to strictly follow the planned milling trajectory, but the tool axis vector only needs to be within a certain range. During the machining process, the rotation of the tool around its axis is not constrained. Therefore, it is necessary to optimize the redundant DOF. Aiming at the redundant DOF of the tool axis vector in ball end milling for surface parts, a Redundancy Optimization strategy for Minimum Joint trajectory (ROMJ) is proposed. It takes the shortest trajectory of robot joints as the optimization objective, and the numerical optimization method is adopted to carry out the optimal design of tool axis vector trajectory in the milling process. Before optimization, to decrease the data volume, the number of track points is sampled and adjusted based on curve characterization errors. In the optimization process, considering the obvious difference in the load quality characteristics of the robot joints, a Redundancy Optimization strategy for Minimum Joint trajectory considering the different Load of joints (ROMJ-L) is proposed. The load difference coefficients of each joint are introduced into the optimization objective of the trajectory of robot joints. By using this method, the optimal design of each joint trajectory of the robot is realized. In order to verify the methods proposed in this paper, a comparison experiment is carried out. The results show that under the same tool point trajectory, the proposed methods can significantly reduce the robot joint trajectory, and the joint trajectory is influenced by the load difference of each joint. Finally, an Eflin-10 robot is used to process the butterfly trajectory tool path by the trajectory planned by the ROMJ-L method, and the results show that the method is practical.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Joint optimization"

1

Frick, Eric. "Joint center estimation by single-frame optimization." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6575.

Full text
Abstract:
Joint center location is the driving parameter for determining the kinematics, and later kinetics, associated with human motion capture. Therefore the accuracy with which said location is determined is of great import to any and all subsequent calculation and analysis. The most significant barrier to accurate determination of this parameter is soft tissue artifact, which contaminates the measurements of on-body measurement devices by allowing them to move relative to the underlying rigid bone. This leads to inaccuracy in both bone pose estimation and joint center location. The complexity of soft tissue artifact (it is nonlinear, multimodal, subject-specific, and trial specific) makes it difficult to model, and therefore difficult to mitigate. This thesis proposes a novel method, termed Single Frame Optimization, for determining joint center location (though mitigation of soft tissue artifact) via a linearization approach, in which the optimal vector relating a joint center to a corresponding inertial sensor is calculated at each time frame. This results in a time-varying joint center location vector that captures the relative motion due to soft tissue artifact, from which the relative motion could be isolated and removed. The method’s, and therefore the optimization’s, driving assumption is that the derivative terms in the kinematic equation are negligible relative to the rigid terms. More plainly, it is assumed that any relative motion can be assumed negligible in comparison with the rigid body motion in the chosen data frame. The validity of this assumption is investigated in a series of numerical simulations and experimental investigations. Each item in said series is presented as a chapter in this thesis, but retains the format of a standalone article. This is intended to foment critical analysis of the method at each stage in its development, rather than solely in its practical (and more developed) form.
APA, Harvard, Vancouver, ISO, and other styles
2

Khojastehnia, Mahdi. "Massive MIMO Channels Under the Joint Power Constraints." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39992.

Full text
Abstract:
Massive MIMO has been recognized as a key technology for 5G systems due to its high spectral efficiency. The capacity and optimal signaling for a MIMO channel under the total power constraint (TPC) are well-known and can be obtained by the water-filling (WF) procedure. However, much less is known about optimal signaling under the per-antenna power constraint constraint (PAC) or under the joint power constraints (TPC+PAC). In this thesis, we consider a massive MIMO Gaussian channel under favorable propagation (FP) and obtain the optimal transmit covariance under the joint constraints. The effect of the joint constraints on the optimal power allocation (OPA) is shown. While it has some similarities to the standard WF, it also has number of notable differences. The numbers of active streams and active PACs are obtained, and a closed-form expression for the optimal dual variable is given. A capped water-filling interpretation of the OPA is given, which is similar to the standard WF, where a container has both floor and ceiling profiles. An iterative water-filling algorithm is proposed to find the OPA under the joint constraints, and its convergence to the OPA is proven. The robustness of optimal signaling under FP is demonstrated in which it becomes nearly optimal for a nearly favorable propagation channel. An upper bound of the sub-optimality gap is given which characterizes nearly (or eps)-favorable propagation. This upper bound quantifies how close the channel is to the FP. A bisection algorithm is developed to numerically compute the optimal dual variable. Newton-barrier and Monte-Carlo algorithms are developed to find the optimal signaling under the joint constraints for an arbitrary channel, not necessarily for a favorable propagation channel. When the diagonal entries of the channel Gram matrix are fixed, it is shown that a favorable propagation channel is not necessarily the best among all possible propagation scenarios capacity-wise. We further show that the main theorems in [1] on favorable propagation are not correct in general. To make their conclusions valid, some modifications as well as additional assumptions are needed, which are given here.
APA, Harvard, Vancouver, ISO, and other styles
3

Widdowson, Brian L. "A joint service optimization of the phased threat distribution." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1998. http://handle.dtic.mil/100.2/ADA344694.

Full text
Abstract:
Thesis (M.S. in Operations Research) Naval Postgraduate School, March 1998.
Thesis advisor(s): Richard E. Rosenthal. "March 1998."-Cover. Includes bibliographical references (p. 69). Also available online.
APA, Harvard, Vancouver, ISO, and other styles
4

Ramachandran, Iyappan. "Joint PHY-MAC optimization for energy-constrained wireless networks /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/5968.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Sherrod, Vallan Gray. "Design Optimization for a Compliant,Continuum-Joint, Quadruped Robot." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7766.

Full text
Abstract:
Legged robots have the potential to cover terrain not accessible to wheel-based robots and vehicles. This makes them better suited to perform tasks, such as search and rescue, in real-world unstructured environments. Pneumatically-actuated, compliant robots are also more suited than their rigid counterparts to work in real-world unstructured environments with humans where unintentional contact may occur. This thesis seeks to combine the benefits of these two type of robots by implementing design methods to aid in the design choice of a 16 degree of freedom (DoF) compliant, continuum-joint quadruped. This work focuses on the design optimization, especially the definition of design metrics, for this type of robot. The work also includes the construction and closed-loop control of a four-DoF continuum-joint leg used to validate design methods.We define design metrics for legged robot metrics that evaluate their ability to traverse unstructured terrain, carry payloads, find stable footholds, and move in desired directions. These design metrics require a sampling of a legged-robot's complete configuration space. For high-DoF robots, such as the 16-DoF in evaluated in this work, the evaluation of these metrics become intractable with contemporary computing power. Therefore, we present methods that can be used to simplify and approximate these metrics. These approximations have been validated on a simulated four-DoF legged robot where they can tractably be compared against their full counterparts.Using the approximations of the defined metrics, we have performed a multi-objective design optimization to investigate the ten-dimensional design space of a 16-DoF compliant, continuum-joint quadruped. The design variables used include leg link geometry, robot base dimensions, and the leg mount angles. We have used an evolutionary algorithm as our optimization method which converged on a Pareto front of optimal designs. From these set of designs, we are able to identify the trade-offs and design differences between robots that perform well in each of the different design metrics. Because of our approximation of the metrics, we were able to perform this optimization on a supercomputer with 28 cores in less than 40 hours.We have constructed a 1.3 m long continuum-joint leg from one of the resulting quadruped designs of the optimization. We have implemented configuration estimation and control and force control on this leg to evaluate the leg payload capability. Using these controllers, we have conducted an experiment to compare the leg's ability to provide downward force in comparison with its theoretical payload capabilities. We then demonstrated how the torque model used in the calculation of payload capabilities can accurately calculate trends in force output from the leg.
APA, Harvard, Vancouver, ISO, and other styles
6

Santhanam, Arvind V. "Joint optimization of radio resources in wireless multihop networks /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2005. http://wwwlib.umi.com/cr/ucsd/fullcit?p3158467.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Furst, Séverine. "Multi-objective optimization for joint inversion of geodetic data." Thesis, Montpellier, 2018. http://www.theses.fr/2018MONTS017/document.

Full text
Abstract:
La surface terrestre est affectée par de nombreux processus locaux tels que des événements volcaniques, des glissements de terrain ou des tremblements de terre. Parallèlement à ces processus naturels, les activités anthropiques, y compris l’extraction et le stockage des ressources profondes (par exemple, les minéraux ou les hydrocarbures) façonnent la Terre à différentes échelles spatiales et temporelles. Ces mécanismes produisent une déformation du sol qui peut être détectée par divers instruments et techniques géodésiques tel que le GNSS, l’InSAR, les inclinomètres. Le but de cette thèse est de développer un outil numérique permettant l’inversion conjointe de multiples données géodésiques associées à la déformation de la plaque ou au changement de contrainte volumique en profondeur. Quatre types d’applications sont ciblés: la déformation intersismiques des plaques, la déformation des volcans, l’exploitation minière profonde et l’extraction de pétrole et de gaz. Différentes complexités du modèle inverse ont été considérées: le niveau I considère un seul type de données géodésiques avec un processus indépendant du temps. Une application est réalisée avec l’inversion des données GPS à travers le sud de la Californie pour déterminer les variations latérales de la rigidité lithosphérique (Furst et al., 2017). Le niveau II représente également un seul type de données géodésiques mais avec un processus dépendant du temps. La détermination conjointe de l’historique des changements de contrainte et des paramètres de dérive d’un réseau d’inclinomètres est étudiée à l’aide d’un exemple synthétique (Furst et al., soumis). Le niveau III considère différents types de données géodésiques et un processus dépendant du temps. Un réseau fictif combinant des données GNSS, InSAR, inclinométriques et de nivellement est défini pour calculer le changement de volume dépendant du temps d’une source profonde de déformation. Une méthodologie pour implémenter ces différents niveaux de complexité est développée dans un seul logiciel. Parce que le problème inverse peut être mal posé, la minimisation de la fonctionnelle peut produire plusieurs minima. Par conséquent, un algorithme d’optimisation global est utilisé (Mohammadi and Saïac, 2003). Le problème direct est traité en utilisant un ensemble de modèles élastiques numériques et analytiques permettant de modéliser les processus de déformation en profondeur. Grâce à ces développements numériques, des avancées concernant les problèmes inverses en géodésie devraient être possibles telle que l’inversion jointe de différents types de données géodésiques acquises lors de la surveillance des volcans. Dans cette perspective, la possibilité de déterminer par inversion les paramètres de dérive des inclinomètres permettrait une détermination précise des sources de déformation profondes. En outre, la méthodologie développée peut être utilisée pour une surveillance précise de la déformation des réservoirs de pétrole et de gaz
The Earth’s surface is affected by numerous local processes like volcanic events, landslides or earthquakes. Along with these natural processes, anthropogenic activities including extraction and storage of deep resources (e.g. minerals, hydrocarbons) shape the Earth at different space and time scales. These mechanisms produce ground deformation that can be detected by various geodetic instruments like GNSS, InSAR, tiltmeters, for example. The purpose of the thesis is to develop a numerical tool to provide the joint inversion of multiple geodetic data associated to plate deformation or volume strain change at depth. Four kinds of applications are targeted: interseismic plate deformation, volcano deformation, deep mining, and oil & gas extraction. Different inverse model complexities were considered: the I-level considers a single type of geodetic data with a time independent process. An application is made with inverting GPS data across southern California to determine the lateral variations of lithospheric rigidity (Furst et al., 2017). The II-level also accounts for a single type of geodetic data but with a time-dependent process. The joint determination of strain change history and the drift parameters of a tiltmeter network is studied through a synthetic example (Furst et al., submitted). The III-level considers different types of geodetic data and a timedependent process. A fictitious network made by GNSS, InSAR, tiltmeters and levelling surveys is defined to compute the time dependent volume change of a deep source of strain. We develop a methodology to implement these different levels of complexity in a single software. Because the inverse problem is possibly ill-posed, the functional to minimize may display several minima. Therefore, a global optimization algorithm is used (Mohammadi and Saïac, 2003). The forward part of the problem is treated by using a collection of numerical and analytical elastic models allowing to model the deformation processes at depth. Thanks to these numerical developments, new advances for inverse geodetic problems should be possible like the joint inversion of various types of geodetic data acquired for volcano monitoring. In this perspective, the possibility to determine by inverse problem the tiltmeter drift parameters should allow for a precise determination of deep strain sources. Also, the developed methodology can be used for an accurate monitoring of oil & gas reservoir deformation
APA, Harvard, Vancouver, ISO, and other styles
8

Giannakas, Theodoros. "Joint modeling and optimization of caching and recommendation systems." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS317.

Full text
Abstract:
La mise en cache du contenu au plus près des utilisateurs a été proposée comme un scénario gagnant-gagnant afin d'offrir de meilleurs tarifs aux utilisateurs tout en économisant sur les coûts des opérateurs. Néanmoins, la mise en cache peut réussir si les fichiers mis en cache parviennent à attirer un grand nombre de demandes. À cette fin, nous profitons du fait qu'Internet est de plus en plus axé sur le divertissement et proposons de lier les systèmes de recommandation et la mise en cache afin d'augmenter le taux de réussite. Nous modélisons un utilisateur qui demande plusieurs contenus à partir d'un réseau équipé d'un cache. Nous proposons un cadre de modélisation pour un tel utilisateur qui est basé sur des chaînes de Markov et s'écarte de l'IRM. Nous explorons différentes versions du problème et dérivons des solutions optimales et sous-optimales selon le cas que nous examinons. Enfin, nous examinons la variation du problème de mise en cache prenant en compte la recommandation et proposons des algorithmes pratiques assortis de garanties de performances. Pour les premiers, les résultats indiquent qu'il y a des gains élevés pour les opérateurs et que les schémas myopes sans vision sont fortement sous-optimaux. Alors que pour ce dernier, nous concluons que les décisions de mise en cache peuvent considérablement s'améliorer en tenant compte des recommandations sous-jacentes
Caching content closer to the users has been proposed as a win-win scenario in order to offer better rates to the users while saving costs from the operators. Nonetheless, caching can be successful if the cached files manage to attract a lot of requests. To this end, we take advantage of the fact that the internet is becoming more entertainment oriented and propose to bind recommendation systems and caching in order to increase the hit rate. We model a user who requests multiple contents from a network which is equipped with a cache. We propose a modeling framework for such a user which is based on Markov chains and depart from the IRM. We delve into different versions of the problem and derive optimal and suboptimal solutions according to the case we examine. Finally we examine the variation of the Recommendation aware caching problem and propose practical algorithms that come with performance guarantees. For the former, the results indicate that there are high gains for the operators and that myopic schemes without a vision, are heavily suboptimal. While for the latter, we conclude that the caching decisions can significantly improve when taking into consideration the underlying recommendations
APA, Harvard, Vancouver, ISO, and other styles
9

Diehl, Douglas D. "How to optimize joint theater ballistic missile defense." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Mar%5FDiehl.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Foster, James C. "Joint optimization of the technical and social aspects of workplace design." Thesis, Massachusetts Institute of Technology, 1985. http://hdl.handle.net/1721.1/31002.

Full text
Abstract:
Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1985.
MICROFICHE COPY AVAILABLE IN ARCHIVES AND DEWEY.
Bibliography: leaves 91-97.
by James C. Foster.
M.S.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Joint optimization"

1

Rezg, Nidhal, Sofiene Dellagi, and Abdelhakim Khatab. Joint Optimization of Maintenance and Production Policies. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118649244.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Theobald, Matt. Minimum mass optimization of the ARMS boom and joint. Ottawa: National Library of Canada, 2002.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Theobald, Matt. Minimum mass optimization of the ARMS boom and joint. [Downsview, Ont.]: University of Toronto, Institute for Aerospace Studies, 2002.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Chen, Xi, Stefanus Jasin, and Cong Shi, eds. The Elements of Joint Learning and Optimization in Operations Management. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-01926-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Pironneau, Olivier, Arrigo Cellina, Luc Tartar, Bernhard Kawohl, Jean-Paul Zol sio, and Ant nio Ornelas. Optimal Shape Design: Lectures given at the joint C.I.M./C.I.M.E. Summer School held in Tr ia, Portugal, June 16, 1998. Berlin: Springer-Verlag, 2000.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Joint ASME/ASCE/SES Summer Meeting (1997 Evanston, Ill.). Design optimization with applications in industry: Presented at the Joint ASME/ASCE/SES Summer Meeting, June 29-July 2, 1997, Evanston, Illinois. New York, N.Y: American Society of Mechanical Engineers, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Barthelemy, Jean-Francois M. Structural optimization of an alternate design for the space shuttle solid rocket booster field joint. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1987.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

AMS Special Session on Computing Optimal Geometries (1991 San Francisco, Calif.). Computing optimal geometries: Extended abstracts of lectures presented at the AMS Special Session, Computing Optimal Geometries, held during the joint mathematics meetings, January 16-19, 1991, San Francisco, California. Providence, R.I: American Mathematical Society, 1991.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

1952-, Kawohl Bernhard, Cellina Arrigo 1941-, and Ornelas A, eds. Optimal shape design: Lectures given at the joint C.I.M/C.I.M.E. summer school held in Tróia, Portugal, June 1-6, 1998 / c B. Kawohl ... [et al.] ; editors, A. Cellina and A. Ornelas. Berlin: Springer, 2000.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

1960-, Cox Steven, and Lasiecka I. 1948-, eds. Optimization methods in partial differential equations: Proceedings from the 1996 joint summer research conference, June 16-20, 1996, Mount Holyoke College. Providence, R.I: American Mathematical Society, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Joint optimization"

1

Benesty, Jacob, Jingdong Chen, and Chao Pan. "Joint Optimization." In SpringerBriefs in Electrical and Computer Engineering, 111–20. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1046-0_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Tande, Aaron, and Elie Berbari. "Perioperative Optimization." In Periprosthetic Joint Infections, 305–15. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30091-7_26.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Kim, Younghyun, and Naehyuck Chang. "Joint Optimization with Power Sources." In Design and Management of Energy-Efficient Hybrid Electrical Energy Storage Systems, 55–84. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07281-4_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Alamanda, Vignesh K., and Bryan D. Springer. "Preoperative Optimization in Total Joint." In Essentials of Cemented Knee Arthroplasty, 263–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-63113-3_23.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Singh, Bismark. "Chance-Constrained Programming: Joint and Individual Constraints." In Encyclopedia of Optimization, 1–5. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-54621-2_785-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Yeung, David W. K., and Leon A. Petrosyan. "Dynamically Stable Cost-Saving Joint Venture." In Subgame Consistent Economic Optimization, 111–46. Boston, MA: Birkhäuser Boston, 2012. http://dx.doi.org/10.1007/978-0-8176-8262-0_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Yeung, David W. K., and Leon A. Petrosyan. "Cost-Saving Joint Venture Under Uncertainty." In Subgame Consistent Economic Optimization, 239–70. Boston, MA: Birkhäuser Boston, 2012. http://dx.doi.org/10.1007/978-0-8176-8262-0_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Meneghini, R. Michael, and Leonard T. Buller. "Patient Risk Assessment and Optimization." In Rapid Recovery in Total Joint Arthroplasty, 83–90. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41223-4_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Lasserre, Jean B. "A “Joint+Marginal” Approach in Optimization." In Handbook on Semidefinite, Conic and Polynomial Optimization, 271–95. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-0769-0_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Al Ali, Musaddiq. "Design Temporomandibular Joint Using Nonparametric Optimization." In Fundamentals of Orthopedic Design with Non-parametric Optimization, 123–37. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1040-9_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Joint optimization"

1

Nagappan, Kumar. "Joint Stiffness Optimization Techniques." In SAE 2010 Aerospace Manufacturing and Automated Fastening Conference & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2010. http://dx.doi.org/10.4271/2010-01-1832.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Christiansen, Niels Hørbye, and Benny Korsholm Tang. "Neural Networks for Tubular Joint Optimization in Offshore Jacket Structures." In ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/omae2016-54846.

Full text
Abstract:
The use of jacket structures to support offshore installations has for a long time been a popular choice in places with appropriate water depths. In recent years the use of jacket structures as offshore wind turbine foundations has also attracted increasing attention and is becoming a feasible alternative to traditional monopile foundations. One of the key challenges in jacket design is optimizing tubular joints in terms of fatigue resistance. As it is not practically possible to include detailed FEM joint models in global jacket models designers are forced to look for alternative methods to obtain realistic joint representations. This is done by calculating influence factors (INF) and stress concentration factors (SCF) to be applied to simplified models of relevant tubular joints in global models in order to achieve a realistic force flow in the structure. One simple and widely used method is to apply parametric formulas, e.g. those suggested by Efthymiou. However, these approximating formulas have a fairly limited validity range. Therefore, on complex joint the most reliable way to determine INF’s is by setting up refined FEM models of relevant joints and then subsequently using the calculated factors in the global model. This strategy is computationally demanding and hence, very time consuming, as a new detailed FEM analysis of the tubular joint must be conducted for each step in the optimization process. The present paper demonstrates how this time consuming procedure can be avoided by use of artificial neural networks (ANN) trained to estimate INF’s on tubular joints. The neural network is trained on a pre-generated library of detailed FEM joint models and is then able to predict INF’s on joints that are not part of the library — and thereby providing a significant reduction in calculation time during the jacket/joint optimization process. The analysis is conducted on a typical joint on a three legged jacket structure. The joint is located on a jacket leg and has two incoming braces. Such a joint has a finite number of free design variables, e.g. chord diameter/thickness, brace diameter/thickness, brace angle, gap etc. Each of these free variables can be considered as a dimension in the joint design space. Having a sufficient number of FEM joint models in the library the neural network can be trained to recognize and predict underlying patterns in this design space. The method is demonstrated on a limited number of design variables but should easily be extended to cover all variables as the joint library is expanded to include all dimensions.
APA, Harvard, Vancouver, ISO, and other styles
3

Chun, Junho, Juhun Lee, and Daekwon Park. "TOPO-JOINT - Topology Optimization Framework for 3D-Printed Building Joints." In CAADRIA 2018: Learning, Prototyping and Adapting. CAADRIA, 2018. http://dx.doi.org/10.52842/conf.caadria.2018.1.205.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Tan, U., O. Rabastc, C. Adnet, and J. P. Ovarlez. "A Sequence-Filter Joint Optimization." In 2018 26th European Signal Processing Conference (EUSIPCO). IEEE, 2018. http://dx.doi.org/10.23919/eusipco.2018.8553260.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Yu, Dong X., and Don A. Gregory. "Optimization of joint transform correlation." In San Diego '92, edited by Bahram Javidi. SPIE, 1993. http://dx.doi.org/10.1117/12.140899.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Shahin, Khaled, and Farid Taheri. "Optimization of Single-Strap Composite Joints." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-15488.

Full text
Abstract:
Adhesive joints are increasingly being utilized in joining primary structural components made of fiber reinforced polymer composites (FRP). While adhesively bonded joints transfer loads by means of shear stresses the eccentricity of the load path found in such joints results in the lateral deformation of the joint assembly and the creation of bending moments at the end portions of the adhesive layer. In the case of the single-strap joint, the magnitude of such bending moments can render the joint structurally inefficient. That said, in many practical situations, the single-strap joint leads to be the only feasible joint configuration; therefore, the understanding of its characteristics is of paramount importance. A detailed analytical investigation of the deformations of single-strap joints was carried out to better understand the dependence of edge moments on various parameters influencing the joint capacity and performance. Accurate expressions were also developed for evaluating the magnitude of the bending moment and shear forces at the ends on the adhesive layer. A complete solution is provided that can accurately predict the magnitude of the edge forces in both balanced and unbalanced single-strap joints. The edge forces obtained from the solution can be used as boundary conditions for the complete analysis of shear and peel stresses in the adhesive layer. The analytical expressions of the bending moment and shear forces can also be used to determine the upper and lower bounds of the magnitudes of the edge forces. These limits show that the efficiency of a single-strap joint can be easily made comparable to that of the commonly used single-lap joint. It will also be shown that on the other hand, a carelessly designed single-strap joint can be nothing more than a so-called "built-in stress concentration". The integrity of the analytical expressions was also verified by geometrically nonlinear finite element analysis. The results obtained from the proposed solution showed better agreement to the finite element results than those obtained from the currently available solutions cited in the literature.
APA, Harvard, Vancouver, ISO, and other styles
7

Hirulkar, N. S., P. R. Jaiswal, Loucas Papadakis, P. N. B. Reis, and J. A. M. Ferreira. "Joint strength optimization of single lap adhesive joints by surface patterning." In 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT). IEEE, 2017. http://dx.doi.org/10.1109/icicict1.2017.8342560.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Bandte, Oliver, and Dimitri Mavris. "Multi-objective optimization using a joint probabilistic technique." In 8th Symposium on Multidisciplinary Analysis and Optimization. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-4758.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Vered, Gilad, Gal Oren, Yuval Atzmon, and Gal Chechik. "Joint Optimization for Cooperative Image Captioning." In 2019 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2019. http://dx.doi.org/10.1109/iccv.2019.00899.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Gallagher, Luke, Ruey-Cheng Chen, Roi Blanco, and J. Shane Culpepper. "Joint Optimization of Cascade Ranking Models." In WSDM '19: The Twelfth ACM International Conference on Web Search and Data Mining. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3289600.3290986.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Joint optimization"

1

Priebe, Carey E., David J. Marchette, Zhiliang Ma, and Sancar Adali. Manifold Matching: Joint Optimization of Fidelity and Commensurability. Fort Belvoir, VA: Defense Technical Information Center, November 2011. http://dx.doi.org/10.21236/ada565568.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Vincent, Charles, Saiful I. Ansari, and Mohammad Khodabakhshi. Joint chance-constrained reliability optimization with general form of distributions. CENTRUM Catolica Graduate Business School, January 2014. http://dx.doi.org/10.7835/ccwp-2014-01-0005.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Etherington, David W., David Joslin, and George L. Nemhauser. Search Strategies in Large-Scale Discrete Optimization: A Joint AI/OR Approach. Fort Belvoir, VA: Defense Technical Information Center, March 1998. http://dx.doi.org/10.21236/ada341379.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Bambha, Neal K., and Shuvra S. Bhattacharyya. A Joint Power/Performance Optimization Algorithm for Multiprocessor Systems Using a Period Graph Construct. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ada456719.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Li, Yan, Yuhao Luo, and Xin Lu. PHEV Energy Management Optimization Based on Multi-Island Genetic Algorithm. SAE International, March 2022. http://dx.doi.org/10.4271/2022-01-0739.

Full text
Abstract:
The plug-in hybrid electric vehicle (PHEV) gradually moves into the mainstream market with its excellent power and energy consumption control, and has become the research target of many researchers. The energy management strategy of plug-in hybrid vehicles is more complicated than conventional gasoline vehicles. Therefore, there are still many problems to be solved in terms of power source distribution and energy saving and emission reduction. This research proposes a new solution and realizes it through simulation optimization, which improves the energy consumption and emission problems of PHEV to a certain extent. First, on the basis that MATLAB software has completed the modeling of the key components of the vehicle, the fuzzy controller of the vehicle is established considering the principle of the joint control of the engine and the electric motor. Afterwards, based on the Isight and ADVISOR co-simulation platform, with the goal of ensuring certain dynamic performance and optimal fuel economy of the vehicle, the multi-island genetic algorithm is used to optimize the parameters of the membership function of the fuzzy control strategy to overcome it to a certain extent. The disadvantages of selecting parameters based on experience are compensated for, and the efficiency and feasibility of fuzzy control are improved. Finally, the PHEV vehicle model simulation comparison was carried out under the UDDS working condition through ADVISOR software. The optimization results show that while ensuring the required power performance, the vehicle fuzzy controller after parameter optimization using the multi-island genetic algorithm is more efficient, which can significantly reduce vehicle fuel consumption and improve exhaust emissions.
APA, Harvard, Vancouver, ISO, and other styles
6

Mashingia, Jane, S. Maboko, P. I. Mbwiri, A. Okello, S. I. Ahmada, R. Barayandema, R. Tulba, et al. Joint Medicines Regulatory Procedure in the East African Community: Registration Timelines and Way Forward. Purdue University, November 2021. http://dx.doi.org/10.5703/1288284317429.

Full text
Abstract:
A review of the East African Community (EAC) joint regulatory review process was conducted, registration timelines analyzed and key milestones, challenges and opportunities documented for the period of July 2015 to January 2020. A total of 113 applications were submitted for joint scientific review. Among these, 109 applications were assessed, 57 were recommended for marketing authorisation, 52 applications had queries to applicants and four applications were under review. A total median approval time for all products ranged from 53 to 102 days. The maximum time taken by a regulator to review the dossier was 391 days and the minimum time was 44 days. For applicants, the maximum time to respond to queries was 927 days and the minimum time was nine days. The total median time for granting marketing authorisation by the National Medicines Regulatory Authorities (NMRA) decreased from 174 to 39 working days in 2015 and 2019 respectively. However, not all EAC NMRA has granted marketing authorisation to all 57 products due to non-payment of applicable fees by applicants. Long regulatory approval timelines were contributed by limited capacity for timely scientific review of dossier by some NMRA, lack of online portal to share dossiersand assessment reports, delay in responding to queries by applicants and deficiencies in dossier. The metric tool and register of medical products submitted for joint scientific review had incomplete data. Challenges were identified and actions recommended to ensure regional regulatory system optimization, efficiency, transparency, sustainability and accountability.
APA, Harvard, Vancouver, ISO, and other styles
7

Weller, Joel I., Ignacy Misztal, and Micha Ron. Optimization of methodology for genomic selection of moderate and large dairy cattle populations. United States Department of Agriculture, March 2015. http://dx.doi.org/10.32747/2015.7594404.bard.

Full text
Abstract:
The main objectives of this research was to detect the specific polymorphisms responsible for observed quantitative trait loci and develop optimal strategies for genomic evaluations and selection for moderate (Israel) and large (US) dairy cattle populations. A joint evaluation using all phenotypic, pedigree, and genomic data is the optimal strategy. The specific objectives were: 1) to apply strategies for determination of the causative polymorphisms based on the “a posteriori granddaughter design” (APGD), 2) to develop methods to derive unbiased estimates of gene effects derived from SNP chips analyses, 3) to derive optimal single-stage methods to estimate breeding values of animals based on marker, phenotypic and pedigree data, 4) to extend these methods to multi-trait genetic evaluations and 5) to evaluate the results of long-term genomic selection, as compared to traditional selection. Nearly all of these objectives were met. The major achievements were: The APGD and the modified granddaughter designs were applied to the US Holstein population, and regions harboring segregating quantitative trait loci (QTL) were identified for all economic traits of interest. The APGD was able to find segregating QTL for all the economic traits analyzed, and confidence intervals for QTL location ranged from ~5 to 35 million base pairs. Genomic estimated breeding values (GEBV) for milk production traits in the Israeli Holstein population were computed by the single-step method and compared to results for the two-step method. The single-step method was extended to derive GEBV for multi-parity evaluation. Long-term analysis of genomic selection demonstrated that inclusion of pedigree data from previous generations may result in less accurate GEBV. Major conclusions are: Predictions using single-step genomic best linear unbiased prediction (GBLUP) were the least biased, and that method appears to be the best tool for genomic evaluation of a small population, as it automatically accounts for parental index and allows for inclusion of female genomic information without additional steps. None of the methods applied to the Israeli Holstein population were able to derive GEBV for young bulls that were significantly better than parent averages. Thus we confirm previous studies that the main limiting factor for the accuracy of GEBV is the number of bulls with genotypes and progeny tests. Although 36 of the grandsires included in the APGD were genotyped for the BovineHDBeadChip, which includes 777,000 SNPs, we were not able to determine the causative polymorphism for any of the detected QTL. The number of valid unique markers on the BovineHDBeadChip is not sufficient for a reasonable probability to find the causative polymorphisms. Complete resequencing of the genome of approximately 50 bulls will be required, but this could not be accomplished within the framework of the current project due to funding constraints. Inclusion of pedigree data from older generations in the derivation of GEBV may result is less accurate evaluations.
APA, Harvard, Vancouver, ISO, and other styles
8

Tarver, Angela, Alison Fern, Matthew San Diego, Megan Kennedy, Matthew Zane, Christopher Daum, Christopher Hack, et al. Illumina Production Sequencing at the DOE Joint Genome Institute - Workflow and Optimizations. Office of Scientific and Technical Information (OSTI), June 2010. http://dx.doi.org/10.2172/985905.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Semerikov, Serhiy O., Illia O. Teplytskyi, Yuliia V. Yechkalo, and Arnold E. Kiv. Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot. [б. в.], November 2018. http://dx.doi.org/10.31812/123456789/2648.

Full text
Abstract:
The article substantiates the necessity to develop training methods of computer simulation of neural networks in the spreadsheet environment. The systematic review of their application to simulating artificial neural networks is performed. The authors distinguish basic approaches to solving the problem of network computer simulation training in the spreadsheet environment, joint application of spreadsheets and tools of neural network simulation, application of third-party add-ins to spreadsheets, development of macros using the embedded languages of spreadsheets; use of standard spreadsheet add-ins for non-linear optimization, creation of neural networks in the spreadsheet environment without add-ins and macros. After analyzing a collection of writings of 1890-1950, the research determines the role of the scientific journal “Bulletin of Mathematical Biophysics”, its founder Nicolas Rashevsky and the scientific community around the journal in creating and developing models and methods of computational neuroscience. There are identified psychophysical basics of creating neural networks, mathematical foundations of neural computing and methods of neuroengineering (image recognition, in particular). The role of Walter Pitts in combining the descriptive and quantitative theories of training is discussed. It is shown that to acquire neural simulation competences in the spreadsheet environment, one should master the models based on the historical and genetic approach. It is indicated that there are three groups of models, which are promising in terms of developing corresponding methods – the continuous two-factor model of Rashevsky, the discrete model of McCulloch and Pitts, and the discrete-continuous models of Householder and Landahl.
APA, Harvard, Vancouver, ISO, and other styles
10

Unseren, M. A. New insights into input relegation control for inverse kinematics of a redundant manipulator. Part 2, The optimization of a secondary criteria involving self motion of the joints. Office of Scientific and Technical Information (OSTI), July 1995. http://dx.doi.org/10.2172/89523.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Joint optimization' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography