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Relevant bibliographies by topics / Algorithms – Mathematical models

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Academic literature on the topic 'Algorithms – Mathematical models'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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Journal articles on the topic "Algorithms – Mathematical models"

1

Mapoka, Kenneth, Howard Masebu, and Tranos Zuva. "Mathematical Models and Algorithms Challenges." International Journal of Control Theory and Computer Modeling 3, no. 6 (2013): 21–28. http://dx.doi.org/10.5121/ijctcm.2013.3602.

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Mitrofanov, Sergey, Nikolay Novikov, Vasily Nikitin, and Sergey Belykh. "Mathematical models and soil fertility management software." E3S Web of Conferences 210 (2020): 04008. http://dx.doi.org/10.1051/e3sconf/202021004008.

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The article presents the results of studies on parametric approximation in spaces R2 (functions of one variable), R3 (functions of two variables) and Rn(n>3) (functions of three or more variables). Various classes of functions satisfying a priori conditions were studied: f(0, 0, 0)=0, $\mathop {\lim 1}\limits_{{x_i} \to + \infty } \,\,({x_1},\, \ldots ,\,{x_n}) = {c_i}$, ci = cont. Working algorithms and C/C++ software functioning in Microsoft Visual Studio 2019 system in Microsoft Windows 10 environment were developed. The main studies of the authors were aimed at developing effective comp

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Voliansky, Roman, and Andri Pranolo. "Parallel mathematical models of dynamic objects." International Journal of Advances in Intelligent Informatics 4, no. 2 (2018): 120. http://dx.doi.org/10.26555/ijain.v4i2.229.

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The paper deals with the developing of the methodological backgrounds for the modeling and simulation of complex dynamical objects. Such backgrounds allow us to perform coordinate transformation and formulate the algorithm of its usage for transforming the serial mathematical model into parallel ones. This algorithm is based on partial fraction decomposition of the transfer function of a dynamic object. Usage of proposed algorithms is one of the ways to decrease calculation time and improve PC usage while a simulation is being performed. We prove our approach by considering the example of mode

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Rvachev, V. L. "Mathematical models and algorithms with a maximal number." Journal of Soviet Mathematics 67, no. 2 (1993): 2980–85. http://dx.doi.org/10.1007/bf01095882.

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Montoya, Germán A., and Yezid Donoso. "Delay-Sensitive Optimization Models and Distributed Routing Algorithms for Mobile Wireless Sensor Networks." International Journal of Computers Communications & Control 11, no. 6 (2016): 819. http://dx.doi.org/10.15837/ijccc.2016.6.2745.

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Communication disruptions caused by mobility in wireless sensor networks introduce undesired delays which affect the network performance in delay sensitive applications in MWSN. In order to study the negative effects caused by mobility, we propose two mathematical models to find the minimum cost path between a source node and a destination node considering the nodes position changes across time. Our mathematical models consider the usage of buffers in the nodes to represent the fact of storing a message if there is not an appropriate forwarding node for transmitting it. In order to contrast ou

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Li, Zixiang, Mukund Nilakantan Janardhanan, Peter Nielsen, and Qiuhua Tang. "Mathematical models and simulated annealing algorithms for the robotic assembly line balancing problem." Assembly Automation 38, no. 4 (2018): 420–36. http://dx.doi.org/10.1108/aa-09-2017-115.

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Purpose Robots are used in assembly lines because of their higher flexibility and lower costs. The purpose of this paper is to develop mathematical models and simulated annealing algorithms to solve the robotic assembly line balancing (RALB-II) to minimize the cycle time. Design/methodology/approach Four mixed-integer linear programming models are developed and encoded in CPLEX solver to find optimal solutions for small-sized problem instances. Two simulated annealing algorithms, original simulated annealing algorithm and restarted simulated annealing (RSA) algorithm, are proposed to tackle la

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Chen, Cheng, Chun Ming Li, Ju Li, and Wei Chuan Dong. "A Modeling Method and Comprehensive Algorithms of High Impedance Fault in EHV Transmission Lines." Applied Mechanics and Materials 577 (July 2014): 603–7. http://dx.doi.org/10.4028/www.scientific.net/amm.577.603.

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The accurately mathematical models, simulation models and protection algorithms of high impedance fault (HIF) on transmission lines are difficult problems. Based on the measured data and physical phenomena, a new mathematical model of HIF was presented by numerical analysis methods and MAYR’s equation. Using EMTP, the model of HIF includes a group of nonlinear time-varying resistances and a dynamic arc resistance. Based on the features of HIF under different frequency bands, this paper presents HIF comprehensive detection algorithms containing four algorithms, and analyzes the logic between ea

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Baldi, Pierre, and Yves Chauvin. "Smooth On-Line Learning Algorithms for Hidden Markov Models." Neural Computation 6, no. 2 (1994): 307–18. http://dx.doi.org/10.1162/neco.1994.6.2.307.

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A simple learning algorithm for Hidden Markov Models (HMMs) is presented together with a number of variations. Unlike other classical algorithms such as the Baum-Welch algorithm, the algorithms described are smooth and can be used on-line (after each example presentation) or in batch mode, with or without the usual Viterbi most likely path approximation. The algorithms have simple expressions that result from using a normalized-exponential representation for the HMM parameters. All the algorithms presented are proved to be exact or approximate gradient optimization algorithms with respect to l

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Sequeira, Ronaldo Antonio, Richard L. Olson, Jeffrey L. Willers, and J. M. McKinion. "Automating the parameterization of mathematical models using genetic algorithms." Computers and Electronics in Agriculture 11, no. 2-3 (1994): 265–90. http://dx.doi.org/10.1016/0168-1699(94)90013-2.

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Herskovits, J., P. Mappa, E. Goulart, and C. M. Mota Soares. "Mathematical programming models and algorithms for engineering design optimization." Computer Methods in Applied Mechanics and Engineering 194, no. 30-33 (2005): 3244–68. http://dx.doi.org/10.1016/j.cma.2004.12.017.

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Dissertations / Theses on the topic "Algorithms – Mathematical models"

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Zhang, Shuqin. "Mathematical models and algorithms for genetic regulatory networks." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38842828.

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Zhang, Shuqin, and 張淑芹. "Mathematical models and algorithms for genetic regulatory networks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38842828.

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Steeg, Jörg Michael. "Mathematical models and algorithms for home health care services." Tönning Lübeck Marburg Der Andere Verl, 2008. http://d-nb.info/994324375/04.

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Nori, Vijay S. "Algorithms for dynamic and stochastic logistics problems." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/24513.

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Hendrickson, Jene Diane, and Soroosh Sorooshian. "CALIBRATION OF RAINFALL-RUNOFF MODELS USING GRADIENT-BASED ALGORITHMS AND ANALYTIC DERIVATIVES." Department of Hydrology and Water Resources, University of Arizona (Tucson, AZ), 1987. http://hdl.handle.net/10150/614186.

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In the past, derivative-based optimization algorithms have not frequently been used to calibrate conceptual rainfall -riff (CRR) models, partially due to difficulties associated with obtaining the required derivatives. This research applies a recently- developed technique of analytically computing derivatives of a CRR model to a complex, widely -used CRR model. The resulting least squares response surface was found to contain numerous discontinuities in the surface and derivatives. However, the surface and its derivatives were found to be everywhere finite, permitting the use of deriva

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Song, Na, and 宋娜. "Mathematical models and numerical algorithms for option pricing and optimal trading." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hub.hku.hk/bib/B50662168.

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Research conducted in mathematical finance focuses on the quantitative modeling of financial markets. It allows one to solve financial problems by using mathematical methods and provides understanding and prediction of the complicated financial behaviors. In this thesis, efforts are devoted to derive and extend stochastic optimization models in financial economics and establish practical algorithms for representing and solving problems in mathematical finance. An option gives the holder the right, but not the obligation, to buy or sell an underlying asset at a specified strike price on or

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Shen, Chenyang. "Regularized models and algorithms for machine learning." HKBU Institutional Repository, 2015. https://repository.hkbu.edu.hk/etd_oa/195.

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Multi-lable learning (ML), multi-instance multi-label learning (MIML), large network learning and random under-sampling system are four active research topics in machine learning which have been studied intensively recently. So far, there are still a lot of open problems to be figured out in these topics which attract worldwide attention of researchers. This thesis mainly focuses on several novel methods designed for these research tasks respectively. Then main difference between ML learning and traditional classification task is that in ML learning, one object can be characterized by several

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Yuen, Wai-on, and 袁偉安. "Models and numerical algorithms for re-manufacturing systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B30292931.

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Wheeler, Scott Barry Ross. "Mathematical foundations for the use of genetic algorithms in economic models." Title page, abstract and contents only, 2002. http://web4.library.adelaide.edu.au/theses/09PH/09phw5644.pdf.

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"July 2002." Bibliography: leaves 119-126. !. Introduction -- 2. Preliminiaries -- 3. Genetic algorithms -- 4. Equilibria and stability in economic models -- 5. Stochastic representation of economic models -- 6. Two population models -- 7. Overview. The aim of this dissertation is to provide a mathematical foundation for the application of genetic algorithms to economic models.

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Oremland, Matthew Scott. "Techniques for mathematical analysis and optimization of agent-based models." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/25138.

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Agent-based models are computer simulations in which entities (agents) interact with each other and their environment according to local update rules. Local interactions give rise to global dynamics. These models can be thought of as in silico laboratories that can be used to investigate the system being modeled. Optimization problems for agent-based models are problems concerning the optimal way of steering a particular model to a desired state. Given that agent-based models have no rigorous mathematical formulation, standard analysis is difficult, and traditional mathematical approaches are

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Books on the topic "Algorithms – Mathematical models"

1

Butenko, Sergiy. Cooperative Control: Models, Applications and Algorithms. Springer US, 2003.

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Wilson, Caroline L. Clustering algorithms and mathematical modeling. Nova Science Publishers, 2010.

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Labiod, Houda, and Andre-Luc Beylot. Vehicular networks: Models and algorithms. ISTE, 2013.

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1956-, Wallace Stein W., and North Atlantic Treaty Organization. Scientific Affairs Division., eds. Algorithms and model formulations in mathematical programming. Springer-Verlag, 1989.

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T, Shaw William. Modelling financial derivatives with Mathematica: Mathematical models and benchmark algorithms. Cambridge University Press, 1998.

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An optimization primer: On models, algorithms, and duality. Springer, 2004.

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Szepesvári, Csaba. Algorithms for reinforcement learning. Morgan & Claypool, 2010.

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Requirements of standards: Optimization models and algorithms. Russian Operation Research Co., 1995.

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Simai, He, Zhang Shuzhong, and SpringerLink (Online service), eds. Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications. Springer New York, 2012.

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Ern, Alexandre. Multicomponent transport algorithms. Springer-Verlag, 1994.

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Book chapters on the topic "Algorithms – Mathematical models"

1

Marchuk, Guri I. "Numerical Realization Algorithms for Mathematical Models." In Mathematical Modelling of Immune Response in Infectious Diseases. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-015-8798-3_7.

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Drud, Arne Stolbjerg. "Interfaces Between Modeling Systems and Solution Algorithms." In Mathematical Models for Decision Support. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83555-1_10.

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Kim, Daeki, and Cynthia Barnhart. "Transportation Service Network Design: Models and Algorithms." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-85970-0_13.

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Mulvey, John M. "Advances in Nonlinear Network Models and Algorithms." In Algorithms and Model Formulations in Mathematical Programming. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83724-1_2.

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Lang, J. Christian. "Production and Operations Management: Models and Algorithms." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04247-8_2.

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Cafieri, Sonia, and Pierre Hansen. "Using Mathematical Programming to Refine Heuristic Solutions for Network Clustering." In Models, Algorithms and Technologies for Network Analysis. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09758-9_2.

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van de Panne, Cornelis. "Decentralized Optimization for Structured Linear Programming Models." In Algorithms and Model Formulations in Mathematical Programming. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83724-1_26.

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Greenberg, Harvey J. "Algorithms and Heuristics." In A Computer-Assisted Analysis System for Mathematical Programming Models and Solutions. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3248-4_9.

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Dimov, Ivan, and Rayna Georgieva. "Multidimensional Sensitivity Analysis of Large-Scale Mathematical Models." In Numerical Solution of Partial Differential Equations: Theory, Algorithms, and Their Applications. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7172-1_8.

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Discacciati, Marco, Paola Gervasio, and Alfio Quarteroni. "Heterogeneous Mathematical Models in Fluid Dynamics and Associated Solution Algorithms." In Lecture Notes in Mathematics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24079-9_2.

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Conference papers on the topic "Algorithms – Mathematical models"

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"A MATHEMATICAL MODEL FOR THE ENHANCED CYTOPLASMIC TRANSPORT - How to Get (Faster) to the Nucleus." In International Conference on Bioinformatics Models, Methods and Algorithms. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003135700390046.

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Görlich, Dennis. "Fitting Personalized Mechanistic Mathematical Models of Acute Myeloid Leukaemia to Clinical Patient Data." In 12th International Conference on Bioinformatics Models, Methods and Algorithms. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010345701700175.

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Memon, Nasrullah, David L. Hicks, Dil Muhammad Akbar Hussain, and Henrik Legind Larsen. "Practical Algorithms and Mathematical Models for Destabilizing Terrorist Networks." In MILCOM 2007 - IEEE Military Communications Conference. IEEE, 2007. http://dx.doi.org/10.1109/milcom.2007.4455057.

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Chen, Lei, and Di Yuan. "Design of in-building distributed antenna systems: Mathematical models and efficient algorithms." In 2015 ICC - 2015 IEEE International Conference on Communications Workshops (ICC). IEEE, 2015. http://dx.doi.org/10.1109/iccw.2015.7247391.

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Yandybaeva, Natalya, Alexander Rezchikov, Evgeny Gorschkov, Alexey Bogomolov, and Vadim Kuschnikov. "Mathematical Models and Algorithms for Forecasting National Security in Training Situational Centers." In 2020 13th International Conference Management of large-scale system development (MLSD). IEEE, 2020. http://dx.doi.org/10.1109/mlsd49919.2020.9247640.

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Aung, Zayar, Ilya Sergeevich Mihailov, and Ye Thu Aung. "Models and Data Mining Algorithms for Solving Classification Problems." In 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA). IEEE, 2019. http://dx.doi.org/10.1109/summa48161.2019.8947555.

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Telban, Robert, Frank Cardullo, and Liwen Guo. "Investigation of mathematical models of otolith organs for human centered motion cueing algorithms." In Modeling and Simulation Technologies Conference. American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-4291.

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Pi, Yajie, Xueyan Song, and Jizhou Sun. "Mathematical Models, GRASP Algorithms and Fitness Landscape Analysis for Aircraft Gate Assignment Problem." In 2014 Tenth International Conference on Computational Intelligence and Security (CIS). IEEE, 2014. http://dx.doi.org/10.1109/cis.2014.14.

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Ismail, Mohamed A., Attia H. Gomaa, and Ashraf O. Nassef. "Solving the Multi-Objective Facility Layout Problem Using Evolutionary Multi-Objective Optimization Algorithms." In ASME 2006 International Manufacturing Science and Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/msec2006-21067.

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The multi-objective facility layout problem is defined in the literature as an extension of the famous quadratic assignment problem (QAP). Most previous mathematical models tried to combine both the quantitative and the qualitative objectives into a single objective by using weighting factors. This paper introduces a multi-objective mathematical model and solves it using the revised Strength Pareto Evolutionary Algorithm (SPEAII). The purpose of this paper is to find an efficient set of solutions “Pareto optimal set” which could be introduced to the decision maker to select the best alternativ

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Ereshchenko, A. "APPLICATION OF MACHINE LEARNING ALGORITHMS FOR MODELING THE CURRENT-VOLTAGE CHARACTERISTIC OF A MEMRISTOR." In Mathematical modeling in materials science of electronic component. LLC MAKS Press, 2019. http://dx.doi.org/10.29003/m1541.mmmsec-2020/133-136.

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The goal of this work is to explore the possibility of using machine learning algorithms for modeling the current-voltage characteristic of a memristor, using modeling of HfO2 and TiO2 based memristors as an example. The possibility of combining several mathematical models based on the predictions of individual models is investigated. The results obtained using the combined model are compared with the predictions of individual models and experimental data.

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Reports on the topic "Algorithms – Mathematical models"

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Goldfarb, Donald, and Garud Iyengar. Algorithms for Mathematical Programming with Emphasis on Bi-level Models. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1132080.

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Muller, L., G. Yang, and V. Comalino. Integrability in Constructive K-Theory mathematical model for operation algorithms of an airship anti-stealth radar. Web of Open Science, 2020. http://dx.doi.org/10.37686/ser.v1i1.2.

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