Výsledky vyhledávání - "Numerical methods based on nonlinear programming"

Inexact proximal point method with a Bregman regularization for quasiconvex multiobjective optimization problems via limiting subdifferentials

Autoři: Balendu Bhooshan Upadhyay Subham Poddar Jen-Chih Yao a další

Zdroj: Annals of Operations Research. 345:417-466

Témata: generalized convexity, Numerical optimization and variational techniques, Numerical methods based on nonlinear programming, Mordukhovich subdifferential, multiobjective optimization, Nonconvex programming, global optimization, sparse optimization, proximal point method, Bregman distance

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/7985174
https://doi.org/10.1007/s10479-024-06461-z

Heavy-ball-based relaxed optimal s-thresholding algorithms for solving compressed sensing problem

Autoři: Qiu, Ming Qu, Biao Yang, Yang

Zdroj: Mathematical Foundations of Computing. 8:419-432

Témata: optimal s-thresholding algorithm, convergence, Numerical methods based on nonlinear programming, Nonlinear programming, heavy-ball method, Nonconvex programming, global optimization, compressed sensing

Popis souboru: application/xml

The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach: The ADMM-PINNs algorithmic framework for nonsmooth PDE-constrained optimization: a deep learning approach

Autoři: Yongcun Song Xiaoming Yuan Hangrui Yue

Zdroj: SIAM Journal on Scientific Computing. 46:C659-C687

Témata: PDEs in connection with control and optimization, FOS: Computer and information sciences, Numerical optimization and variational techniques, Inverse problems for PDEs, Computer Science - Machine Learning, Control/observation systems governed by partial differential equations, Numerical methods based on nonlinear programming, Smoothness and regularity of solutions to PDEs, Nonsmooth analysis, deep learning, PDE constrained optimization (numerical aspects), 01 natural sciences, nonsmooth optimization, Machine Learning (cs.LG), physics-informed neural networks, Optimization and Control (math.OC), FOS: Mathematics, PDE-constrained optimization, 0101 mathematics, Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems, ADMM, Mathematics - Optimization and Control, Artificial neural networks and deep learning

Popis souboru: application/xml

Přístupová URL adresa: http://arxiv.org/abs/2302.08309
https://zbmath.org/7955192
https://doi.org/10.1137/23m1566935

A fixed-time stable forward–backward dynamical system for solving generalized monotone inclusions: A fixed-time stable forward-backward dynamical system for solving generalized monotone inclusions

Autoři: Nam V. Tran Le T. T. Hai Truong V. An a další

Zdroj: Journal of Applied Mathematics and Computing. 70:5857-5885

Témata: Variational methods involving nonlinear operators, Numerical methods based on nonlinear programming, Variational and other types of inequalities involving nonlinear operators (general), Optimization and Control (math.OC), fixed-time stability, FOS: Mathematics, generalized monotone inclusion, Variational inequalities, Mathematics - Optimization and Control, forward-backward method, dynamical system, Set-valued and variational analysis

Popis souboru: application/xml; text

Přístupová URL adresa: http://arxiv.org/abs/2407.08139
https://zbmath.org/8036686
https://doi.org/10.1007/s12190-024-02186-1

Binary Voronoi linear trees for the approximate solution of functional optimization problems

Autoři: Cristiano Cervellera Danilo Macciò

Zdroj: Computational and Applied Mathematics. 44

Témata: Numerical methods based on nonlinear programming, Numerical mathematical programming methods, functional optimization, decision trees, piecewise-linear models, ensemble methods, nonlinear programming

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/8034173
https://doi.org/10.1007/s40314-025-03128-8

New hybrid conjugate gradient algorithm for vector optimization problems

Autoři: Jamilu Yahaya Poom Kumam

Zdroj: Computational and Applied Mathematics. 44

Témata: Pareto-optimality, vector optimization, hybrid as a convex combination, Numerical methods based on nonlinear programming, Nonlinear programming, conjugate gradient method, Methods of reduced gradient type, Nonconvex programming, global optimization, Multi-objective and goal programming

Popis souboru: application/xml

Almost-Sure Convergence of Iterates and Multipliers in Stochastic Sequential Quadratic Optimization: Almost-sure convergence of iterates and multipliers in stochastic sequential quadratic optimization

Autoři: Frank E. Curtis Xin Jiang Qi Wang

Zdroj: Journal of Optimization Theory and Applications. 204

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Numerical methods based on nonlinear programming, Stochastic approximation, Randomized algorithms, Stochastic programming, almost-sure convergence, Quadratic programming, stochastic optimization, Nonconvex programming, global optimization, sequential quadratic optimization, Numerical methods based on necessary conditions, Machine Learning (cs.LG), Methods of successive quadratic programming type, Numerical mathematical programming methods, Nonlinear programming, Optimization and Control (math.OC), FOS: Mathematics, iterate averaging, 49M05, 49M37, 62L20, 65K05, 68W20, 90C26, 90C30, 90C55, Mathematics - Optimization and Control

Popis souboru: application/xml

Přístupová URL adresa: http://arxiv.org/abs/2308.03687
https://zbmath.org/7980142
https://doi.org/10.1007/s10957-024-02568-2

Polyak Minorant Method for Convex Optimization: Polyak minorant method for convex optimization

Autoři: Nikhil Devanathan Stephen Boyd

Zdroj: Journal of Optimization Theory and Applications. 203:2263-2282

Témata: Methods of successive quadratic programming type, first-order methods, Convex programming, convex optimization, Numerical methods based on nonlinear programming, Optimization and Control (math.OC), bundle methods, FOS: Mathematics, Numerical methods of relaxation type, cutting-plane methods, Mathematics - Optimization and Control

Popis souboru: application/xml

Přístupová URL adresa: http://arxiv.org/abs/2310.07922

A nonlinear split problem regarding variational inequalities and equilibrium problems

Autoři: Tzu-Chien Yin Nawab Hussain Hind Alamri a další

Zdroj: Journal of Inequalities and Applications, Vol 2024, Iss 1, Pp 1-18 (2024)

Témata: Variational inequality, Numerical optimization and variational techniques, Convex programming, Numerical methods based on nonlinear programming, Nonlinear transformation, variational inequality, Equilibrium problem, Split problem, split problem, QA1-939, nonlinear transformation, Mathematics, equilibrium problem, Set-valued and variational analysis

Popis souboru: application/xml

Přístupová URL adresa: https://doaj.org/article/011d3da3a7aa4bbabe460873e3aa3e7f

Research on vibration suppression and trajectory tracking control strategy of a flexible link manipulator

Autoři: Mingming Shi Yong Cheng Bao Rong a další

Zdroj: Applied Mathematical Modelling. 110:78-98

Témata: Robot dynamics and control of rigid bodies, residual vibration suppression, crossbreeding PSO algorithm, 0209 industrial biotechnology, Numerical methods based on nonlinear programming, dynamics modeling, trajectory tracking, Automated systems (robots, etc.) in control theory, 02 engineering and technology, Approximation methods and heuristics in mathematical programming, flexible link manipulator

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/7635715
https://doi.org/10.1016/j.apm.2022.05.030

An Unconditionally Energy Stable Method for the Anisotropic Phase-Field Crystal Model in Two Dimension: An unconditionally energy stable method for the anisotropic phase-field crystal model in two dimension

Autoři: Yingying Xie Qi Li Liquan Mei

Zdroj: Journal of Scientific Computing. 100

Témata: Lagrange multiplier method, anisotropic phase-field crystal model, Numerical methods based on nonlinear programming, Numerical computation of solutions to systems of equations, mass conservation, Dynamic lattice systems (kinetic Ising, etc.) and systems on graphs in time-dependent statistical mechanics, Series expansions (e.g., Taylor, Lidstone series, but not Fourier series), Dynamic and nonequilibrium phase transitions (general) in statistical mechanics, Multistep, Runge-Kutta and extrapolation methods for ordinary differential equations, Error bounds for initial value and initial-boundary value problems involving PDEs, Numerical mathematical programming methods, unconditional energy dissipation, Finite difference methods for initial value and initial-boundary value problems involving PDEs, Spectral, collocation and related methods for boundary value problems involving PDEs, Stability and convergence of numerical methods for initial value and initial-boundary value problems involving PDEs, Crystalline structure, Numerical methods for discrete and fast Fourier transforms, Statistical mechanics of crystals, Crystals in solids, Spectral, collocation and related methods for initial value and initial-boundary value problems involving PDEs, Computational density functional analysis in statistical mechanics, PDEs in connection with statistical mechanics

Popis souboru: application/xml

An operator-splitting approach for variational optimal control formulations for diffeomorphic shape matching

Autoři: Mang, Andreas He, Jiwen Azencott, Robert

Zdroj: Journal of Computational Physics. 493:112463

Témata: Numerical optimization and variational techniques, Numerical methods based on nonlinear programming, Numerical Analysis (math.NA), shape classification, Shapes (aspects of topological manifolds), numerical optimization, diffeomorphic shape matching, optimal control, Optimization of shapes other than minimal surfaces, Optimization and Control (math.OC), 65K10, 49K15, 37C05, FOS: Mathematics, Mathematics - Numerical Analysis, Image processing (compression, reconstruction, etc.) in information and communication theory, Mathematics - Optimization and Control, operator splitting

Popis souboru: application/xml

Přístupová URL adresa: http://arxiv.org/abs/2307.10114
https://zbmath.org/7748049
https://doi.org/10.1016/j.jcp.2023.112463

Iterative methods for solving proximal split minimization problems

Autoři: Mohammad M. Alshahrani Olaniyi S. Iyiola Qamrul Hasan Ansari a další

Zdroj: Numerical Algorithms. 78:193-215

Témata: 2. Zero hunger, Numerical optimization and variational techniques, Convex programming, Numerical methods based on nonlinear programming, proximal split minimization problems, strong convergence analysis, iterative methods, Moreau-Yosida approximate, 0101 mathematics, Variational inequalities, 01 natural sciences, Set-valued and variational analysis

Popis souboru: application/xml

Přístupová URL adresa: https://link.springer.com/10.1007/s11075-017-0372-3
https://dblp.uni-trier.de/db/journals/na/na78.html#AbbasAAIS18
https://link.springer.com/content/pdf/10.1007%2Fs11075-017-0372-3.pdf

On the use of consistent approximations for the optimal design of beams

Autoři: Elijah Polak C. Kirjner Neto

Zdroj: System Modelling and Optimization ISBN: 9781475766714

Témata: Numerical optimization and variational techniques, 0209 industrial biotechnology, Numerical methods based on nonlinear programming, 4. Education, 0211 other engineering and technologies, epiconvergence, diagonalization, 02 engineering and technology, consistent approximations, 16. Peace & justice, 3. Good health, Optimization of shapes other than minimal surfaces, Optimization problems in solid mechanics, nonlinear programming algorithms, discretization, Rods (beams, columns, shafts, arches, rings, etc.), optimal design of beam

Popis souboru: application/xml

Přístupová URL adresa: https://link.springer.com/content/pdf/10.1007%2F978-0-387-34897-1_26.pdf
https://zbmath.org/954836
https://doi.org/10.1137/s0363012994266188
http://www.osti.gov/scitech/biblio/36396
https://link.springer.com/chapter/10.1007/978-0-387-34897-1_26
https://link.springer.com/content/pdf/10.1007%2F978-0-387-34897-1_26.pdf
https://epubs.siam.org/doi/abs/10.1137/S0363012994266188
https://rd.springer.com/chapter/10.1007/978-0-387-34897-1_26

A new double projection algorithm for variational inequalities

Autoři: Yiran He

Zdroj: Journal of Computational and Applied Mathematics. 185:166-173

Témata: Numerical optimization and variational techniques, linesearch procedures, convergence, Numerical methods based on nonlinear programming, modified projection algorithms, Armijo linesearch, Applied Mathematics, 0211 other engineering and technologies, 02 engineering and technology, Variational inequalities, Computational Mathematics, Projection algorithm, extrapolation type method, numerical experiments, variational inequalities

Popis souboru: application/xml

Přístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S0377042705000555
https://www.sciencedirect.com/science/article/abs/pii/S0377042705000555
https://dialnet.unirioja.es/servlet/articulo?codigo=1275900
https://core.ac.uk/display/82196267
http://ui.adsabs.harvard.edu/abs/2006JCoAM.185..166H/abstract

On finite convergence of proximal point algorithms for variational inequalities

Autoři: Naihua Xiu Jianzhong Zhang

Zdroj: Journal of Mathematical Analysis and Applications. 312:148-158

Témata: Numerical optimization and variational techniques, finite termination, Numerical methods based on nonlinear programming, weakly sharp solutions, Applied Mathematics, 0211 other engineering and technologies, 02 engineering and technology, Variational inequalities, proximal methods, Inertial proximal method, Weak sharpness, Variational and other types of inequalities involving nonlinear operators (general), Proximal point algorithm, iterative methods, Finite convergence, variational inequalities, Analysis

Popis souboru: application/xml

Přístupová URL adresa: https://core.ac.uk/display/82447580
https://www.sciencedirect.com/science/article/pii/S0022247X05002155
http://ui.adsabs.harvard.edu/abs/2005JMAA..312..148X/abstract
https://www.sciencedirect.com/science/article/abs/pii/S0022247X05002155

An inexact Newton method combined with Hestenes multipliers’ scheme for the solution of Karush–Kuhn–Tucker systems: An inexact Newton method combined with Hestenes multipliers' scheme for the solution of Karush-Kuhn-Tucker systems

Autoři: BONETTINI, Silvia GALLIGANI E RUGGIERO, Valeria

Zdroj: Applied Mathematics and Computation. 168:651-676

Témata: Large-scale problems in mathematical programming, Numerical optimization and variational techniques, Numerical methods based on nonlinear programming, large scale nonlinear programming, elliptic control, 0211 other engineering and technologies, Interior-point methods, 02 engineering and technology, Methods of quasi-Newton type, Existence theories for optimal control problems involving partial differential equations, Newton interior-point method, inexact Newton method, large scale nonlinear programming problems, Hestenes multipliers' method, elliptic control problems, 01 natural sciences, interior-point method, global convergence, Numerical mathematical programming methods, Karush-Kuhn-Tucker optimality conditions, Nonlinear programming, Newton interior point method, Inexact Newton method, Large scale nonlinear programming problems, Hestenes multipliers method, local superlinear convergence, 0101 mathematics

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/2223254
https://doi.org/10.1016/j.amc.2004.09.018
https://iris.unimore.it/handle/11380/452951
http://www.sciencedirect.com/science/article/pii/S0096300304006307
https://core.ac.uk/display/53966258
https://dblp.uni-trier.de/db/journals/amc/amc168.html#BonettiniGR05
http://dm.unife.it/~bonettini/paperi/AMC2004_final.pdf
http://www.nau.unimore.it/AMC-2005.pdf
https://hdl.handle.net/11380/452951
https://doi.org/10.1016/j.amc.2004.09.018
https://hdl.handle.net/11392/1197170
https://doi.org/10.1016/j.amc.2004.09.018

A new method for solving a system of the nonlinear equations

Autoři: Sohrab Effati Alireza Nazemi

Zdroj: Applied Mathematics and Computation. 168:877-894

Témata: Numerical optimization and variational techniques, numerical examples, Numerical methods based on nonlinear programming, Numerical computation of solutions to systems of equations, Nonsmooth analysis, 0211 other engineering and technologies, optimal measure, 02 engineering and technology, nonlinear system, nonlinear programming problem, optimal control problem, 0202 electrical engineering, electronic engineering, information engineering, linear programming problem, Radon measures, error functional

Popis souboru: application/xml

Convergence of Successive Approximation Methods with Parameter Target Sets: Convergence of successive approximation methods with parameter target sets.

Autoři: Levy, A.B.

Zdroj: Mathematics of Operations Research. 30:765-784

Témata: Numerical methods based on nonlinear programming, 4. Education, 0211 other engineering and technologies, 02 engineering and technology, inclusion solving, variational analysis, constrained optimization, convergence analysis, Methods of successive quadratic programming type, numerical optimization, augmented Lagrangian methods, penalty methods, Numerical mathematical programming methods, generalized continuity, Sensitivity, stability, parametric optimization, barrier methods, trust region methods, sequential quadratic programming

Popis souboru: application/xml; application/pdf

Přístupová URL adresa: https://www.jstor.org/stable/pdfplus/25151682.pdf
https://ideas.repec.org/a/inm/ormoor/v30y2005i3p765-784.html
https://dblp.uni-trier.de/db/journals/mor/mor30.html#Levy05
https://econpapers.repec.org/RePEc:inm:ormoor:v:30:y:2005:i:3:p:765-784
https://pubsonline.informs.org/doi/abs/10.1287/moor.1050.0153

Value Estimation Approach to the Iri-Imai Method for Constrained Convex Optimization: Value estimation approach to the Iri-Imai method for constrained convex optimization

Autoři: Duan Li Sandi Lam Shuzhong Zhang

Zdroj: Journal of Optimization Theory and Applications. 125:591-608

Témata: Convex programming, Numerical methods based on nonlinear programming, Numerical mathematical programming methods, Iri-Imai algorithm, value estimation, Constrained convex optimization, 0211 other engineering and technologies, 02 engineering and technology

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/2215043
https://doi.org/10.1007/s10957-005-2091-5
https://link.springer.com/article/10.1007/s10957-005-2091-5
https://scholars.cityu.edu.hk/en/publications/publication(05f66d55-44a2-4d8e-a362-da947eb11ced).html
https://ideas.repec.org/a/spr/joptap/v125y2005i3d10.1007_s10957-005-2091-5.html
https://experts.umn.edu/en/publications/value-estimation-approach-to-the-iri-imai-method-for-constrained-