Suchergebnisse - sequential linearly constrained nonlinear programming~

CSOLNP: Numerical Optimization Engine for Solving Non-linearly Constrained Problems.

Autoren: Zahery, Mahsa Maes, Hermine H. Neale, Michael C.

Quelle: Twin Research & Human Genetics. Aug2017, Vol. 20 Issue 4, p290-297. 8p.

Schlagwörter: *NONLINEAR analysis, *QUADRATIC programming, *STRUCTURAL equation modeling, *FORTRAN, *SEQUENTIAL analysis, *ALGORITHMS, *BIOLOGICAL models, *COMPUTER software, *RESEARCH funding

Sequential equality-constrained optimization for nonlinear programming.

Autoren: Birgin, E. Bueno, L. Martínez, J.

Quelle: Computational Optimization & Applications; Dec2016, Vol. 65 Issue 3, p699-721, 23p

Schlagwörter: MATHEMATICAL optimization, MATHEMATICAL variables, QUADRATIC programming, LAGRANGIAN functions, STOCHASTIC convergence

Feasible Direction Methods for Constrained Nonlinear Optimization: Suggestions for Improvements

Autoren: Mitradjieva-Daneva, Maria Göthe-Lundgren, Maud Larsson, Torbjörn et al.

Weitere Verfasser: Mitradjieva-Daneva, Maria Göthe-Lundgren, Maud Larsson, Torbjörn et al.

Quelle: Linköping Studies in Science and Technology. Dissertations.

Schlagwörter: constrained nonlinear optimization, feasible direction methods, conjugate directions, traffic equilibrium problem, sequential linear programming algorithm, stochastic transportation problem, MATHEMATICS, Applied mathematics, Optimization, systems theory, MATEMATIK, Tillämpad matematik, Optimeringslära, systemteori

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8811
https://liu.diva-portal.org/smash/get/diva2:23509/FULLTEXT01.pdf

Optimality condition and complexity analysis for linearly-constrained optimization without differentiability on the boundary.

Autoren: Haeser, Gabriel Liu, Hongcheng Ye, Yinyu

Quelle: Mathematical Programming; Nov2019, Vol. 178 Issue 1/2, p263-299, 37p

Schlagwörter: NONCONVEX programming, NONLINEAR programming, NONLINEAR equations, CONTINUOUS functions, INTERIOR-point methods

A barrier method for solving nonlinear programming problems

Autoren: Aigbe, William F. Amar

Schlagwörter: sequential linearly constrained nonlinear programming, Numerical methods based on nonlinear programming, Numerical mathematical programming methods, Ritter's conjugate direction method, Nonlinear programming, barrier method

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/3746830

Inexact Josephy–Newton framework for generalized equations and its applications to local analysis of Newtonian methods for constrained optimization.

Autoren: Izmailov, A. F. Solodov, M. V.

Quelle: Computational Optimization & Applications; Jun2010, Vol. 46 Issue 2, p347-368, 22p

Schlagwörter: QUADRATIC programming, MATHEMATICAL optimization, LINEAR dependence (Mathematics), NONLINEAR programming, STOCHASTIC convergence

A primal-dual augmented Lagrangian.

Autoren: Gill, Philip Robinson, Daniel

Quelle: Computational Optimization & Applications; Jan2012, Vol. 51 Issue 1, p1-25, 25p, 4 Charts

Schlagwörter: CONSTRAINED optimization, LAGRANGIAN functions, NONLINEAR programming, QUADRATIC programming, THEORY of distributions (Functional analysis)

Two-Timescale Multilayer Recurrent Neural Networks for Nonlinear Programming.

Autoren: Wang, Jiasen Wang, Jun

Quelle: IEEE Transactions on Neural Networks & Learning Systems; Jan2022, Vol. 33 Issue 1, p37-47, 11p

Schlagwörter: NONLINEAR programming, GLOBAL optimization, QUADRATIC programming, RECURRENT neural networks

A hybrid algorithm for linearly constrained minimax problems.

Autoren: Wang, Fusheng

Quelle: Annals of Operations Research; Jul2013, Vol. 206 Issue 1, p501-525, 25p, 2 Charts

Schlagwörter: HYBRID systems, SEARCH algorithms, PROBLEM solving, ROBUST control, NONLINEAR programming, STOCHASTIC convergence

Computation of optimal investment allocations in a sequential portfolio optimisation

Autoren: Masiala Mavungu Evan Hurwitz Tshilidzi Marwala

Quelle: Journal of Economic and Financial Sciences, Vol 12, Iss 1, Pp e1-e8 (2019)

Schlagwörter: investment allocations, portfolio selection, portfolio optimisation, data forecasting, risk minimisation, profit maximisation, sequential quadratic programming, Economics as a science, HB71-74

Dateibeschreibung: electronic resource

Relation: https://jefjournal.org.za/index.php/jef/article/view/416; https://doaj.org/toc/1995-7076; https://doaj.org/toc/2312-2803

Zugangs-URL: https://doaj.org/article/f5fc857bcd1d4891bf26b85ebf28a235

Separable Quadratic Programming via a Primal-Dual Interior Point Method and its Use in a Sequential Procedure.

Autoren: Carpenter, Tamra J. Lustig, Irvin J. Mulvey, John M. et al.

Quelle: ORSA Journal on Computing. Spring93, Vol. 5 Issue 2, p182. 10p.

Schlagwörter: *LINEAR programming, *CONVEX domains, *NONLINEAR programming, *STOCHASTIC processes

Efficient implementation of Gaussian process–based predictive control by quadratic programming.

Autoren: Polcz, Péter Péni, Tamás Tóth, Roland

Quelle: IET Control Theory & Applications (Wiley-Blackwell). May2023, Vol. 17 Issue 8, p968-984. 17p.

Schlagwörter: *QUADRATIC programming, *PREDICTIVE control systems, *NONLINEAR equations, *GAUSSIAN processes, *PREDICTION models, *STOCHASTIC control theory, *MOMENTS method (Statistics)

Integration of Distributed Energy Resources in Unbalanced Networks Using a Generalized Normal Distribution Optimizer.

Autoren: Avellaneda-Gómez, Laura Sofía Cortés-Caicedo, Brandon Montoya, Oscar Danilo et al.

Quelle: Computation; Jun2025, Vol. 13 Issue 6, p146, 28p

Schlagwörter: PARTICLE swarm optimization, METAHEURISTIC algorithms, SEARCH algorithms, GAUSSIAN distribution, POWER resources

Nonlinear Programming 4 : Proceedings of the Nonlinear Programming Symposium 4 Conducted by the Computer Sciences Department at the University of Wisconsin–Madison, July 14-16, 1980

Autoren: Olvi L. Mangasarian Robert R. Meyer Stephen M. Robinson

Resource Type: eBook.

Schlagworte: Nonlinear programming--Congresses

Categories: MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Applied

Nonlinear Programming 2 : Proceedings of the Special Interest Group on Mathematical Programming Symposium Conducted by the Computer Sciences Department at the University of Wisconsin - Madison, April 15-17, 1974

Autoren: O. L. Mangasarian R. R. Meyer S. M. Robinson

Resource Type: eBook.

Schlagworte: Nonlinear programming

Categories: MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Applied

Tailored Benders Decomposition for a Long-Term Power Expansion Model with Short-Term Demand Response.

Autoren: Lohmann, Timo Rebennack, Steffen

Quelle: Management Science; Jun2017, Vol. 63 Issue 6, p2027-2048, 22p, 5 Diagrams, 9 Charts

Schlagwörter: RETIREMENT planning, INVESTMENT policy, NONLINEAR programming, ELECTRIC power systems, POWER plants

Multiplier convergence in trust-region methods with application to convergence of decomposition methods for MPECs.

Autoren: Giallombardo, Giovanni Ralph, Daniel

Quelle: Mathematical Programming; Apr2008, Vol. 112 Issue 2, p335-369, 35p

Schlagwörter: MATHEMATICAL decomposition, MATHEMATICAL programming, NONLINEAR programming, SWITCHING theory, MULTIPLIERS (Mathematical analysis), FUNCTIONAL analysis

NPSOL (Version 4.0): A Fortran Package for Nonlinear Programming. User's Guide.

Autoren: STANFORD UNIV CA SYSTEMS OPTIMIZATION LAB Gill,Philip E Murray,Walter et al.

Quelle: DTIC AND NTIS

Index Begriffe: Computer Programming and Software, USER MANUALS, NONLINEAR PROGRAMMING, PROGRAMMING MANUALS, ALGORITHMS, FUNCTIONS, SEQUENTIAL ANALYSIS, QUADRATIC PROGRAMMING, FORTRAN, SEARCHING, SUBROUTINES, SPARSE MATRIX, ITERATIONS, LAGRANGIAN FUNCTIONS, WUNR047064, Text

URL: https://apps.dtic.mil/docs/citations/ADA166944

User's Guide for NPSOL (Version 4.0): A Fortran Package for Nonlinear Programming.

Autoren: STANFORD UNIV CA SYSTEMS OPTIMIZATION LAB Gill,Philip E Murray,Walter et al.

Quelle: DTIC AND NTIS

Index Begriffe: Computer Programming and Software, PROGRAMMING MANUALS, NONLINEAR PROGRAMMING, ALGORITHMS, USER MANUALS, SEQUENTIAL ANALYSIS, QUADRATIC PROGRAMMING, FORTRAN, SEARCHING, SUBROUTINES, SPARSE MATRIX, LAGRANGIAN FUNCTIONS, NPSOL computer programs, WUNR047064, Text

URL: https://apps.dtic.mil/docs/citations/ADA169115

An Introduction to Nonlinear Optimization Theory

Autoren: Marius Durea Radu Strugariu

Resource Type: eBook.

Schlagworte: Mathematical optimization, Nonlinear theories

Categories: MATHEMATICS / Linear & Nonlinear Programming, MATHEMATICS / General