Výsledky vyhledávání - locally convergent nonlinear programming algorithms

Locally convergent bi-level MDO architectures based on the block coordinate descent algorithm

Autoři: David, Yann Gallard, François Rondepierre, Aude a další

Přispěvatelé: David, Yann Gallard, François Rondepierre, Aude a další

Zdroj: https://hal.science/hal-04758286 ; 2024.

Témata: Multidisciplinary Design Optimization (MDO), Bi-level optimization, Block decomposition, Block Coordinate Descent (BCD), NonLinear programming, [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]

Dostupnost: https://hal.science/hal-04758286
https://hal.science/hal-04758286v2/document
https://hal.science/hal-04758286v2/file/no_format.pdf

On the numerical feasibility of continuation methods for nonlinear programming problems

Autoři: Ralph Lehmann

Zdroj: Mathematische Operationsforschung und Statistik. Series Optimization. 15:517-530

Témata: parametric nonlinear programming, Numerical methods based on nonlinear programming, Numerical mathematical programming methods, Nonlinear programming, 0211 other engineering and technologies, continuation techniques, locally convergent nonlinear programming algorithms, radius of convergence, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/3827593
https://www.tandfonline.com/doi/abs/10.1080/02331938408842968

A globally convergent version of Robinson's algorithm for general nonlinear programming problems without using derivatives: Globally convergent version of Robinson's algorithm for general nonlinear programming problems without using derivatives

Autoři: J. Bräuninger

Zdroj: Journal of Optimization Theory and Applications. 35:195-216

Témata: derivative-free minimization, penalty function method, linear constraints, 0211 other engineering and technologies, Rate of convergence, degree of approximation, 02 engineering and technology, quadratically convergent algorithm, 01 natural sciences, penalty functions, Numerical mathematical programming methods, Nonlinear programming, Robinson's algorithm, nonlinear constraints, 0101 mathematics, globally convergent version, locally convergent algorithm, approximations of derivatives

Popis souboru: application/xml

Přístupová URL adresa: https://link.springer.com/article/10.1007%2FBF00934576

A Fourth-Order Parametric Iterative Approach for Solving Systems of Nonlinear Equations.

Autoři: Bhalla, Sonia Singh, Gurjeet Ramos, Higinio a další

Zdroj: Computation; Oct2025, Vol. 13 Issue 10, p241, 21p

Témata: NONLINEAR equations, DIFFERENTIAL equations, ITERATIVE methods (Mathematics), NONLINEAR programming, HAMMERSTEIN equations, NONLINEAR functions, COMPUTER simulation

A Globally Convergent Version of a General Recursive Algorithm for Nonlinear Programming

Autoři: W. Schneiderheinze

Zdroj: Optimization. 17:161-180

Témata: 0211 other engineering and technologies, 02 engineering and technology

Přístupová URL adresa: http://www.tandfonline.com/doi/abs/10.1080/02331938608843116?queryID=%24%7BresultBean.queryID%7D

Unified convergence analysis of a second-order method of multipliers for nonlinear conic programming.

Autoři: Chen, Liang Zhu, Junyuan Zhao, Xinyuan

Zdroj: SCIENCE CHINA Mathematics; Nov2022, Vol. 65 Issue 11, p2397-2422, 26p

Optimising the selection of welfare indicators in farm animals.

Autoři: Day, Jon Ben Haddou, Mohamed Kylling, Rita a další

Zdroj: Frontiers in Veterinary Science. 2025, p1-19. 19p.

A CLASS OF NONLINEAR LAGRANGIANS: THEORY AND ALGORITHM.

Autoři: Li-Wein Zhang Yong-Hing Ren Yue Wu a další

Zdroj: Asia-Pacific Journal of Operational Research; Jun2008, Vol. 25 Issue 3, p327-371, 45p

Témata: NONLINEAR programming, STOCHASTIC convergence, ALGORITHMS, DYNAMIC programming, LINEAR programming, MANAGEMENT science, MATHEMATICAL programming, INTEGER programming, QUADRATIC programming

A class of nonlinear Lagrangians for nonconvex second order cone programming.

Autoři: Zhang, Liwei Gu, Jian Xiao, Xiantao

Zdroj: Computational Optimization & Applications; May2011, Vol. 49 Issue 1, p61-99, 39p, 2 Charts

Témata: LAGRANGIAN functions, ALGORITHMS, NONLINEAR programming, MATHEMATICAL optimization, NONCONVEX programming, STOCHASTIC convergence

The Dual Algorithm Based on a Class of Nonlinear Lagrangians for Nonlinear Programming

Autoři: Yong-Hong Ren Li-Wei Zhang

Zdroj: 2006 6th World Congress on Intelligent Control and Automation. :934-938

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://ieeexplore.ieee.org/document/1712481/
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000001712481

Finite penalty methods with a linear approximation of the constraints. I

Autoři: V. M. Panin

Zdroj: Cybernetics. 20:223-233

Témata: finite penalty methods, locally convergent algorithms, optimality conditions, Numerical methods based on nonlinear programming, 05 social sciences, 0211 other engineering and technologies, 02 engineering and technology, 01 natural sciences, nonlocally convergent algorithms, Numerical mathematical programming methods, Nonlinear programming, 0502 economics and business, differentiable functions, 0101 mathematics, nondifferentiable penalty function, linear approximation of the constraints

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/3892951
https://doi.org/10.1007/bf01069177
https://zbmath.org/3892952
https://doi.org/10.1007/bf01069177
https://link.springer.com/article/10.1007/BF01069177
https://link.springer.com/content/pdf/10.1007/BF01068931.pdf

A recursive quadratic programming algorithm that uses a new nondifferentiable penalty functions: A recursive quadric programming algorithm that uses new nondifferentiable penalty functions

Autoři: Zhang Ke-cun Yang Boting

Zdroj: Applied Mathematics. 9:95-103

Témata: Numerical methods based on nonlinear programming, Nonlinear programming, equality-constrained nonlinear programming, 0211 other engineering and technologies, quadratic programming, 02 engineering and technology, Quadratic programming, 0101 mathematics, 01 natural sciences

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/640430
https://doi.org/10.1007/bf02662030
https://link.springer.com/content/pdf/10.1007/BF02662030.pdf
https://link.springer.com/article/10.1007/BF02662030

Properties of the Augmented Lagrangian in Nonlinear Semidefinite Optimization.

Autoři: Sun, J. Zhang, L. W. Wu, Y.

Zdroj: Journal of Optimization Theory & Applications; Jun2006, Vol. 129 Issue 3, p437-456, 20p

Témata: LAGRANGIAN functions, CALCULUS of variations, MATHEMATICAL optimization, NONLINEAR programming, MATHEMATICAL programming, ALGORITHMS, FOUNDATIONS of arithmetic, MATHEMATICAL analysis, FUNCTIONAL equations

Nonlinear rescaling Lagrangians for nonconvex semidefinite programming.

Autoři: Zhang, Liwei Li, Yang Wu, Jia

Zdroj: Optimization; Jun2014, Vol. 63 Issue 6, p899-920, 22p

Témata: NONLINEAR theories, LAGRANGIAN functions, NONCONVEX programming, SEMIDEFINITE programming, PROBLEM solving, OPERATOR theory, MATHEMATICAL functions

On the Convergence Properties of a Second-Order Augmented Lagrangian Method for Nonlinear Programming Problems with Inequality Constraints.

Autoři: Chen, Liang Liao, Anping

Zdroj: Journal of Optimization Theory & Applications; Oct2020, Vol. 187 Issue 1, p248-265, 18p

Témata: NONLINEAR programming, NONLINEAR equations, NEWTON-Raphson method, COMPLEMENTARITY constraints (Mathematics), MATHEMATICAL equivalence, NONSMOOTH optimization

From global to local convergence of interior methods for nonlinear optimization.

Autoři: Armand, Paul Benoist, Joël Orban, Dominique

Zdroj: Optimization Methods & Software; Oct2013, Vol. 28 Issue 5, p1051-1080, 30p, 2 Graphs

Témata: STOCHASTIC convergence, NONLINEAR theories, MATHEMATICAL optimization, INTERIOR-point methods, NONLINEAR programming, NUMBER theory

A truncated Newton method in an augmented Lagrangian framework for nonlinear programming.

Autoři: Pillo, Gianni Liuzzi, Giampaolo Lucidi, Stefano a další

Zdroj: Computational Optimization & Applications. Mar2010, Vol. 45 Issue 2, p311-352. 42p. 4 Graphs.

Témata: *ALGORITHMS, *NONLINEAR programming, LAGRANGE equations, LAGRANGIAN functions, CALCULUS of variations

A SUPERLINEARLY CONVERGENT HYBRID ALGORITHM FOR SOLVING NONLINEAR PROGRAMMING.

Autoři: CHUANHAO GUO ERFANG SHAN WENLI YAN

Zdroj: Journal of Industrial & Management Optimization. Apr2017, Vol. 13 Issue 2, p1009-1024. 16p.

Témata: *NONLINEAR programming, *STOCHASTIC convergence, *ALGORITHMS, *PROBLEM solving, LINEAR equations, QUADRATIC programming

A nonlinear Lagrangian based on Fischer-Burmeister NCP function

Autoři: Ren, Yong-Hong Zhang, Li-Wei Xiao, Xian-Tao

Zdroj: Applied Mathematics & Computation. May2007, Vol. 188 Issue 2, p1344-1363. 20p.

Témata: *NONLINEAR programming, *STOCHASTIC convergence, *ALGORITHMS, *DYNAMIC programming

A non-monotone inexact regularized smoothing Newton method for solving nonlinear complementarity problems.

Autoři: Zhu, Jianguang Hao, Binbin

Zdroj: International Journal of Computer Mathematics. Nov2011, Vol. 88 Issue 16, p3483-3495. 13p. 1 Chart.

Témata: *Algorithms, Monotone operators, Smoothing (Numerical analysis), Newton-Raphson method, Nonlinear programming, Stochastic convergence, Numerical analysis