Gotowe bibliografie tematyczne / Trust region bundle method

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Gotowa bibliografia na temat „Trust region bundle method”

Autor: Grafiati
Data publikacji: 3 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Trust region bundle method"

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Jie, Shen, and Gao Ya-Li. "Research on the Dual Problem of Trust Region Bundle Method." British Journal of Mathematics & Computer Science 22, no. 3 (2017): 1–6. https://doi.org/10.9734/BJMCS/2017/33880.

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With the rapid development of science and technology as well as the cross-integration between the various disciplines, the nonsmooth optimization problem plays an increasingly important role in operational research. In this paper, we use the trust region method to study nonsmooth unconstrained optimization problems. Trust region subproblem is constructed to produce the next iteration point by using feasible set as constraint condition. As the number of iterations increases, the compression principle is used to control the elements in a bundle of information. And then the subproblem is studied
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Kiwiel, Krzysztof C. "An Ellipsoid Trust Region Bundle Method for Nonsmooth Convex Minimization." SIAM Journal on Control and Optimization 27, no. 4 (1989): 737–57. http://dx.doi.org/10.1137/0327039.

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Shen, Jie, and Ya-Li Gao. "Research on the Dual Problem of Trust Region Bundle Method." British Journal of Mathematics & Computer Science 22, no. 3 (2017): 1–6. http://dx.doi.org/10.9734/bjmcs/2017/33880.

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Apkarian, P., D. Noll, and O. Prot. "A Trust Region Spectral Bundle Method for Nonconvex Eigenvalue Optimization." SIAM Journal on Optimization 19, no. 1 (2008): 281–306. http://dx.doi.org/10.1137/060665191.

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YIN, Yingjie, Kazuya TAMURA, and Shigeyuki HOSOE. "Optimal Planning of Multi-contacted Grasp by the Bundle Trust Region Method." Transactions of the Institute of Systems, Control and Information Engineers 21, no. 8 (2008): 244–52. http://dx.doi.org/10.5687/iscie.21.244.

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Kim, Kibaek, Cosmin G. Petra, and Victor M. Zavala. "An Asynchronous Bundle-Trust-Region Method for Dual Decomposition of Stochastic Mixed-Integer Programming." SIAM Journal on Optimization 29, no. 1 (2019): 318–42. http://dx.doi.org/10.1137/17m1148189.

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Tamura, Kazuya, Yingjie Yin, and Shigeyuki Hosoe. "1A1-N-089 Optimal planning of hand grasping based on Bundle Trust Region Method(Robot Hand Mechanism and Grasping Strategy 1,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives)." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2005 (2005): 25. http://dx.doi.org/10.1299/jsmermd.2005.25_3.

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Rynkiewich, Katharina, Jinal Makhija, Mary Carl Froilan, et al. "Healthcare Worker Experiences Implementing CRE Infection Control Measures at a vSNF—A Qualitative Analysis." Infection Control & Hospital Epidemiology 41, S1 (2020): s244—s245. http://dx.doi.org/10.1017/ice.2020.802.

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Background: During 2017–2019 in the Chicago region, several ventilator-capable skilled nursing facilities (vSNFs) participated in a quality improvement project to control the spread of highly prevalent carbapenem-resistant Enterobacteriaceae (CRE). With guidance from regional project coordinators and public health departments that involved education, assistance with implementation, and adherence monitoring, the facilities implemented a CRE prevention bundle that included a hand hygiene campaign that promoted alcohol-based hand rub, contact precautions (personal protective equipment with glove/
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Huang, Sheng, Le Rong, Zhuoqun Jiang, and Yuriy V. Tokovyy. "Inverse Identification of Constituent Elastic Parameters of Ceramic Matrix Composites Based on Macro–Micro Combined Finite Element Model." Aerospace 11, no. 11 (2024): 936. http://dx.doi.org/10.3390/aerospace11110936.

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Accurate material performance parameters are the prerequisite for conducting composite material structural analysis and design. However, the complex multiscale structure of ceramic matrix composites (CMCs) makes it extremely difficult to accurately obtain their mechanical performance parameters. To address this issue, a CMC micro-scale constituents (fiber bundles and matrix) elastic parameter inversion method was proposed based on the integration of macro–micro finite element models. This model was established based on the μCT scan data of a plain-woven CMC tensile specimen using the chemical
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Dempe, S., and J. F. Bard. "Bundle Trust-Region Algorithm for Bilinear Bilevel Programming." Journal of Optimization Theory and Applications 110, no. 2 (2001): 265–88. http://dx.doi.org/10.1023/a:1017571111854.

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Rozprawy doktorskie na temat "Trust region bundle method"

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Pereira, Yuri Rafael Leite. "Methods for vector optimization: trust region and proximal on riemannian manifolds and Newton with variable order." Universidade Federal de Goiás, 2017. http://repositorio.bc.ufg.br/tede/handle/tede/7791.

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Submitted by Marlene Santos (marlene.bc.ufg@gmail.com) on 2017-09-21T21:10:08Z No. of bitstreams: 2 Tese - Yuri Rafael Leite Pereira - 2017.pdf: 2066899 bytes, checksum: e1bbe4df9a2a43e1074b83920a833ced (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-09-22T11:44:33Z (GMT) No. of bitstreams: 2 Tese - Yuri Rafael Leite Pereira - 2017.pdf: 2066899 bytes, checksum: e1bbe4df9a2a43e1074b83920a833ced (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>Made ava
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Tröltzsch, Anke. "An active-set trust-region method for bound-constrained nonlinear optimization without derivatives applied to noisy aerodynamic design problems." Thesis, Toulouse, INPT, 2011. http://www.theses.fr/2011INPT0031/document.

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L’optimisation sans dérivées (OSD) a connu un regain d’intérêt ces dernières années, principalement motivée par le besoin croissant de résoudre les problèmes d’optimisation définis par des fonctions dont les valeurs sont calculées par simulation (par exemple, la conception technique, la restauration d’images médicales ou de nappes phréatiques).Ces dernières années, un certain nombre de méthodes d’optimisation sans dérivée ont été développées et en particulier des méthodes fondées sur un modèle de région de confiance se sont avérées obtenir de bons résultats.Dans cette thèse, nous présentons un
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Bryson, Dean Edward. "A Unified, Multifidelity Quasi-Newton Optimization Method with Application to Aero-Structural Design." University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1510146591195367.

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Pekmen, Bengisen. "Derivative Free Multilevel Optimization Methods." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12610853/index.pdf.

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Derivative free optimization algorithms are implementations of trust region based derivative-free methods using multivariate polynomial interpolation. These are designed to minimize smooth functions whose derivatives are not available or costly to compute. The trust region based multilevel optimization algorithms for solving large scale unconstrained optimization problems resulting by discretization of partial differential equations (PDEs), make use of different discretization levels to reduce the computational cost. In this thesis, a derivative free multilevel optimization algorithm is derive
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Liu, Liu. "Stochastic Optimization in Machine Learning." Thesis, The University of Sydney, 2019. http://hdl.handle.net/2123/19982.

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Stochastic optimization has received extensive attention in recent years due to their extremely potential for solving the large-scale optimization problem. However, the classical optimization algorithm and original stochastic method might prove to be inefficient due to the fact that: 1) the cost-per-iteration is a computational challenge, 2) the convergence and complexity are poorly performed. In this thesis, we exploit the stochastic optimization from three kinds of "order" optimization to address the problem. For the stochastic zero-order optimization, we introduce a novel variance reduction
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Moretto, Irene. "Aspetti numerici nell'applicazione del modello SIR." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/22165/.

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Questo lavoro si concentra sull'applicazione del classico modello a compartimenti di Kermack–McKendrick (SIR), per controllare l'andamento dell'epidemia COVID-19 in Italia, utilizzando i dati messi a disposizione dal Dipartimento della Protezione Civile italiano, relativi alla regione Veneto. L'implementazione di tale modello pone interessanti problemi legati sia alla soluzione numerica del problema inverso, attraverso cui avviene la calibrazione dei parametri del modello, che alla soluzione numerica dei problemi differenziali richiesti all'interno della calibrazione e successivamente in fase
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Simonis, Joseph P. "Inexact Newton methods applied to under-determined systems." Link to electronic dissertation, 2006. http://www.wpi.edu/Pubs/ETD/Available/etd-050406-103442/.

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Dissertation (Ph.D.)--Worcester Polytechnic Institute.<br>Keywords: Periodic Solutions, Under-Determined Systems, Continuation, Nonlinear Eigenvalue, Inexact Newton Methods, Newton's Method, Trust Region Methods Includes bibliographical references (p.93-95).
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Clausner, André. "Anwendung von Line-Search-Strategien zur Formoptimierung und Parameteridentifikation." Master's thesis, Universitätsbibliothek Chemnitz, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-114858.

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Die kontinuierliche Weiterentwicklung und Verbesserung technischer Prozesse erfolgt heute auf der Basis stochastischer und deterministischer Optimierungsstrategien in Kombination mit der numerischen Simulation dieser Abläufe. Da die FE-Simulation von Umformvorgängen in der Regel sehr zeitintensiv ist, bietet sich für die Optimierung solcher Prozesse der Einsatz deterministischer Methoden an, da hier weniger Optimierungsschritte und somit auch weniger FE-Simulationen notwendig sind. Eine wichtige Anforderung an solche Optimierungsverfahren ist globale Konvergenz zu lokalen Minima, da die optima
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Akteke, Basak. "Derivative Free Optimization Methods: Application In Stirrer Configuration And Data Clustering." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/2/12606591/index.pdf.

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Recent developments show that derivative free methods are highly demanded by researches for solving optimization problems in various practical contexts. Although well-known optimization methods that employ derivative information can be very effcient, a derivative free method will be more effcient in cases where the objective function is nondifferentiable, the derivative information is not available or is not reliable. Derivative Free Optimization (DFO) is developed for solving small dimensional problems (less than 100 variables) in which the computation of an objective function is relatively e
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Biehl, Scheila Valechenski. "Uma nova abordagem para resolução de problemas de fluxo de carga com variáveis discretas." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/18/18154/tde-14052012-103104/.

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Este trabalho apresenta uma nova abordagem para a modelagem e resolução de problemas de fluxo de carga em sistemas elétricos de potência. O modelo proposto é formado simultaneamente pelo conjunto de equações não lineares que representam as restrições de carga do problema e por restrições de complementaridade associadas com as restrições de operação da rede, as quais propiciam o controle implícito das tensões nas barras com controle de geração. Também é proposta uma técnica para a obtenção dos valores discretos dos taps de tranformadores, de maneira que o ajuste dessas variáveis possa ser reali
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Książki na temat "Trust region bundle method"

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Schramm, Helga. Eine Kombination von Bundle- und Trust-Region-Verfahren zur Lösung nichtdifferenzierbarer Optimierungsprobleme. s.n., 1989.

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Liao, Aiping. Solving unconstrained discrete-time optimal control problems using trust region method. Cornell Theory Center, Cornell University, 1995.

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Li, Yuying. A trust region and affine scaling method for nonlinearly constrained minimization. Cornell Theory Center, Cornell University, 1994.

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Coleman, Thomas F. An efficient trust region method for unconstrained discrete-time optimal control problems. Cornell Theory Center, Cornell University, 1993.

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Li, Yuying. On global convergence of a trust region and affine scaling method for nonlinearly constrained minimization. Cornell Theory Center, Cornell University, 1994.

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Michel, Bierlaire. Optimization: Principles and Algorithms. EPFL Press, 2015. http://dx.doi.org/10.55430/6116v1mb.

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Every engineer and decision scientist must have a good mastery of optimization, an essential element in their toolkit. Thus, this articulate introductory textbook will certainly be welcomed by students and practicing professionals alike. Drawing from his vast teaching experience, the author skillfully leads the reader through a rich choice of topics in a coherent, fluid and tasteful blend of models and methods anchored on the underlying mathematical notions (only prerequisites: first year calculus and linear algebra). Topics range from the classics to some of the most recent developments in sm
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Części książek na temat "Trust region bundle method"

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Alt, Walter. "Bundle-Trust-Region-Verfahren." In Numerische Verfahren der konvexen, nichtglatten Optimierung. Vieweg+Teubner Verlag, 2004. http://dx.doi.org/10.1007/978-3-322-80083-1_8.

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Andrei, Neculai. "The Trust-Region Method." In Modern Numerical Nonlinear Optimization. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08720-2_8.

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Dempe, S., and J. F. Bard. "A Bundle Trust Region Algorithm for Bilinear Bilevel Programming." In Operations Research Proceedings 1999. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-58300-1_2.

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Chauhan, Vinod Kumar. "Stochastic Trust Region Inexact Newton Method." In Stochastic Optimization for Large-scale Machine Learning. CRC Press, 2021. http://dx.doi.org/10.1201/9781003240167-10.

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Gabriel, Steven A., and Jong-Shi Pang. "A Trust Region Method for Constrained Nonsmooth Equations." In Large Scale Optimization. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4613-3632-7_9.

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He, Jun, Fei Han, and Shou-Bao Su. "A Hybrid Particle Swarm Optimization Embedded Trust Region Method." In Intelligent Computing Theories and Application. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42291-6_76.

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Peng, Suping, Peng Lin, Wenfeng Du, and Yongxu Lu. "The Trust Region Method for Time-Domain Full Waveform Inversion." In Technology and Application of Environmental and Engineering Geophysics. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3244-8_6.

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Talbi, El Hachmi, Lhoussine Abaali, and Rachid Skouri. "Optimal Power Flow Dispatch Using Trust Region Based Multiplier Method." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36475-5_18.

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Groß, Christian, and Rolf Krause. "A Recursive Trust-Region Method for Non-Convex Constrained Minimization." In Lecture Notes in Computational Science and Engineering. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02677-5_13.

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Nocedal, Jorge. "Viewing the conjugate gradient method as a trust region algorithm." In Lecture Notes in Mathematics. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/bfb0072675.

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Streszczenia konferencji na temat "Trust region bundle method"

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Jalali, Mohammad, Saeed Soori, and Hadis Barati. "L-DATR: A Limited-Memory Distributed Asynchronous Trust-Region Method." In 2024 IEEE/ACIS 24th International Conference on Computer and Information Science (ICIS). IEEE, 2024. https://doi.org/10.1109/icis61260.2024.10778325.

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FENG, Fei, Xia WANG, Huisheng YAO, Heng CHEN, and Jingyu BAO. "TDOA passive localization method combining particle swarm and trust region." In 2nd International Conference on Computing, Machine Learning and Data Science, edited by Benjamin W. Wah, Yanan Sun, and Jixin Ma. SPIE, 2025. https://doi.org/10.1117/12.3072208.

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Yue, Mohai, Qi Zhang, Xiangjun Xin, et al. "XRF Overlapping Spectra Analysis Method Based on a Cascade Equilibrium Optimizer and Trust Region Algorithm." In 2024 Asia Communications and Photonics Conference (ACP) and International Conference on Information Photonics and Optical Communications (IPOC). IEEE, 2024. https://doi.org/10.1109/acp/ipoc63121.2024.10809871.

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Ma, Siyang, and Jie Li. "A data-driven hybrid multi-objective optimization framework for pressure swing adsorption systems." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.123607.

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Pressure swing adsorption (PSA) is an energy-efficient technology for gas separation, while the multi-objective optimization of PSA is a challenging task. To tackle this, we propose a hybrid optimization framework, which integrates three steps. In the first step, we establish surrogate models for the constraints using Gaussian processes (GPs) and employ multi-objective Bayesian optimization to search for feasible points that satisfy the constraints. In the second step, we establish surrogate models for the objective function and constraints using GPs and utilize constrained multi-objective Bay
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Yin, Yingjie, Kazuya Tamura, and Shigeyuki Hosoe. "A Bundle Trust Region Method for Optimal Grasp Planning of Multi-fingered Robot Hand." In 2006 IEEE International Conference on Robotics and Biomimetics. IEEE, 2006. http://dx.doi.org/10.1109/robio.2006.340337.

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Lu, Yunlong, Xiaowei Jiang, and Yueting Yang. "A Modified BFGS Trust Region Method." In 2010 Third International Joint Conference on Computational Science and Optimization. IEEE, 2010. http://dx.doi.org/10.1109/cso.2010.106.

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Kwon, Kiwoon, Dong-Su Ho, Gi-Yun Eom, Seung-Duk Lee, and Beop-Min Kim. "Trust region method for DOT image reconstruction." In Biomedical Optics (BiOS) 2007, edited by Britton Chance, Robert R. Alfano, Bruce J. Tromberg, Mamoru Tamura, and Eva M. Sevick-Muraca. SPIE, 2007. http://dx.doi.org/10.1117/12.701729.

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Armacki, Aleksandar, Dusan Jakovetic, Natasa Krejic, and Natasa Krklec Jerinkic. "Distributed Trust-Region Method With First Order Models." In IEEE EUROCON 2019 -18th International Conference on Smart Technologies. IEEE, 2019. http://dx.doi.org/10.1109/eurocon.2019.8861739.

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Wang, Fanghua, and Chengxiu Gao. "An ODE Trust-Region Method for Unconstrained Optimization." In 2009 International Conference on Computational Intelligence and Software Engineering. IEEE, 2009. http://dx.doi.org/10.1109/cise.2009.5365095.

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Chauhan, Vinod Kumar, Kalpana Dahiya, and Anuj Sharma. "Trust Region Levenberg-Marquardt Method for Linear SVM." In 2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR). IEEE, 2017. http://dx.doi.org/10.1109/icapr.2017.8593090.

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Raporty organizacyjne na temat "Trust region bundle method"

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Heinkenschloss, Matthias, Denis Ridzal, and Miguel Antonio Aguilo. Numerical study of a matrix-free trust-region SQP method for equality constrained optimization. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1038211.

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