Výsledky vyhledávání - parametric inequality-equality constrained nonlinear programming

Generalized convexity and concavity of the optimal value function in nonlinear programming

Autoři: Jerzy Kyparisis Anthony V. Fiacco

Zdroj: Mathematical Programming. 39:285-304

Témata: sufficient conditions, 0211 other engineering and technologies, paraconvexity, point-to-set maps, 02 engineering and technology, parametric inequality-equality constrained nonlinear programming, 01 natural sciences, G-convexity, Nonlinear programming, Sensitivity, stability, parametric optimization, G-concavity, optimal value function, 0101 mathematics, quasi-convexity, Convexity of real functions of several variables, generalizations

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Přístupová URL adresa: https://zbmath.org/4049402
https://doi.org/10.1007/bf02592078
https://dl.acm.org/doi/10.5555/2794560.3113637
https://link.springer.com/article/10.1007/BF02592078
https://dblp.uni-trier.de/db/journals/mp/mp39.html#KyparisisF87

Sensitivity analysis in economics

Autoři: Walter Diewert

Zdroj: Computers & Operations Research. 11:141-156

Témata: Trade models, Applications of mathematical programming, Sensitivity, stability, parametric optimization, 0502 economics and business, 05 social sciences, 0211 other engineering and technologies, 02 engineering and technology, sensitivity, comparative statics analysis, dependence on a parameter, inequality- equality constrained nonlinear programming

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/3982932
https://doi.org/10.1016/0305-0548(69)90007-0
https://dblp.uni-trier.de/db/journals/cor/cor11.html#Diewert84
https://www.sciencedirect.com/science/article/pii/0305054869900070

Convexity and concavity properties of the optimal value function in parametric nonlinear programming

Autoři: J. Kyparisis A. V. Fiacco

Zdroj: Journal of Optimization Theory and Applications. 48:95-126

Témata: Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming, 0209 industrial biotechnology, Numerical methods based on nonlinear programming, parametric optimization, Sensitivity, stability, parametric optimization, convexity conditions, 0211 other engineering and technologies, set-valued mappings, survey, optimal value function, 02 engineering and technology

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Přístupová URL adresa: https://zbmath.org/3887463
https://doi.org/10.1007/bf00938592
https://apps.dtic.mil/dtic/tr/fulltext/u2/a138202.pdf
https://link.springer.com/article/10.1007%2FBF00938592

Generalized Convexity and Concavity Properties of the Optimal Value Function in Parametric Nonlinear Programming.

Autoři: GEORGE WASHINGTON UNIV WASHINGTON DC INST FOR MANAGEMENT SCIENCE AND ENGINEERING Fiacco,A V Kyparisis,J

Zdroj: DTIC AND NTIS

Témata: Theoretical Mathematics, Parametric programming, Nonlinear programming, Optimization, Mathematics, Parametric analysis, Mapping, Convex sets, Value, Functions(Mathematics), Concavity, Convexity, Optimal value function, WUNR047624, Text

URL: https://apps.dtic.mil/docs/citations/ADA138220

Convexity and Concavity Properties of the Optimal Value Function in Parametric Nonlinear Programming.

Autoři: GEORGE WASHINGTON UNIV WASHINGTON DC INST FOR MANAGEMENT SCIENCE AND ENGINEERING Fiacco,A V Kyparisis,J

Zdroj: DTIC AND NTIS

Témata: Operations Research, Nonlinear programming, Parametric programming, Optimization, Point-to-set-map, Convexity properties, Concavity properties, WUNR347020, Text

URL: https://apps.dtic.mil/docs/citations/ADA138202

Generalized convexity and concavity of the optimal value function in nonlinear programming.

Autoři: Kyparisis, Jerzy Fiacco, Anthony

Zdroj: Mathematical Programming; 1987, Vol. 39 Issue 3, p285-304, 20p

Inequality-Equality Constrained Optimization: An Analytical Robustness Comparison of a Feasibility Method Versus L1 Sequential Quadratic Programming.

Autoři: Driessen, Brian J. Sadegh, Nader

Zdroj: Optimization Methods & Software; Aug2002, Vol. 17 Issue 4, p701-716, 16p

Témata: QUADRATIC programming, MATHEMATICAL inequalities, MATHEMATICAL optimization

An Introduction to Nonlinear Optimization Theory

Autoři: Marius Durea Radu Strugariu

Resource Type: eBook.

Témata: Mathematical optimization, Nonlinear theories

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

Continuous Selection and Unique Polyhedral Representation of Solutions to Convex Parametric Quadratic Programs.

Autoři: Spjøtvold, J. Tøndel, P. Johansen, T. A.

Zdroj: Journal of Optimization Theory & Applications; Aug2007, Vol. 134 Issue 2, p177-189, 13p, 3 Graphs

Témata: QUADRATIC programming, NONLINEAR programming, LINEAR programming, MATHEMATICAL programming, POLYHEDRAL functions, CONTINUOUS functions, ALGORITHMS, MATHEMATICAL transformations, MATHEMATICAL optimization

Optimality conditions and sensitivity analysis in parametric nonconvex minimax programming.

Autoři: An, D. T. V. Hung, N. H. Ngoan, D. T. a další

Zdroj: Journal of Global Optimization; Sep2024, Vol. 90 Issue 1, p53-72, 20p

Témata: NONCONVEX programming, SUBDIFFERENTIALS, SENSITIVITY analysis

Inequality/equality constrained optimization: an analytical robustness comparison of a feasibility method versus L1 sequential quadratic programming.

Autoři: Driessen, B.J. Sadegh, N.

Zdroj: Proceedings IEEE SoutheastCon 2002 (Cat. No.02CH37283); 2002, p317-321, 5p

TRIDENT-DE: Triple-Operator Differential Evolution with Adaptive Restarts and Greedy Refinement.

Autoři: Charilogis, Vasileios Tsoulos, Ioannis G. Gianni, Anna Maria

Zdroj: Future Internet; Nov2025, Vol. 17 Issue 11, p488, 30p

Témata: GLOBAL optimization, DIFFERENTIAL evolution, MATHEMATICAL optimization, BENCHMARK problems (Computer science), OPTIMIZATION algorithms

Hannibal Barca optimizer: the power of the pincer movement for global optimization and multilevel image thresholding.

Autoři: Ouertani, Mohamed Wajdi Manita, Ghaith Korbaa, Ouajdi

Zdroj: Cluster Computing; Oct2025, Vol. 28 Issue 7, p1-56, 56p

A bi-objective constrained optimization algorithm using a hybrid evolutionary and penalty function approach.

Autoři: Deb, Kalyanmoy Datta, Rituparna

Zdroj: Engineering Optimization; May2013, Vol. 45 Issue 5, p503-527, 25p

Témata: CONSTRAINED optimization, ALGORITHMS, HYBRID systems, NONCONVEX programming, PARAMETER estimation, STOCHASTIC convergence

Uniform adaptive scaling of equality and inequality constraints within hybrid evolutionary-cum-classical optimization.

Autoři: Datta, Rituparna Deb, Kalyanmoy

Zdroj: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Jun2016, Vol. 20 Issue 6, p2367-2382, 16p

Témata: CONSTRAINED optimization, EVOLUTIONARY algorithms, INTERDISCIPLINARY education, NORMALIZED measures, NONCONVEX programming

Power System Decision Making in the Age of Deep Learning: A Comprehensive Review.

Autoři: Lim, Yeji Son, Minjae Park, Kyungnam a další

Zdroj: Energies (19961073); Sep2025, Vol. 18 Issue 18, p4867, 49p

Témata: ELECTRIC power systems, DEEP learning, ARTIFICIAL neural networks, DECISION making, RENEWABLE energy sources, COMPUTATIONAL complexity, FORECASTING, MATHEMATICAL optimization

Generalized Convexity and Concavity Properties of the Optimal Value Function in Parametric Nonlinear Programming.

Autoři: Fiacco,A V Kyparisis,J GEORGE WASHINGTON UNIV WASHINGTON DC INST FOR MANAGEMENT SCIENCE AND ENGINEERING

Přispěvatelé: Fiacco,A V Kyparisis,J GEORGE WASHINGTON UNIV WASHINGTON DC INST FOR MANAGEMENT SCIENCE AND ENGINEERING

Zdroj: DTIC AND NTIS

Témata: Theoretical Mathematics, Parametric programming, Nonlinear programming, Optimization, Mathematics, Parametric analysis, Mapping, Convex sets, Value, Functions(Mathematics), Concavity, Convexity, Optimal value function, WUNR047624

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Relation: http://www.dtic.mil/docs/citations/ADA138220

Dostupnost: http://www.dtic.mil/docs/citations/ADA138220
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA138220

Convexity and Concavity Properties of the Optimal Value Function in Parametric Nonlinear Programming.

Autoři: Fiacco,A V Kyparisis,J GEORGE WASHINGTON UNIV WASHINGTON DC INST FOR MANAGEMENT SCIENCE AND ENGINEERING

Přispěvatelé: Fiacco,A V Kyparisis,J GEORGE WASHINGTON UNIV WASHINGTON DC INST FOR MANAGEMENT SCIENCE AND ENGINEERING

Zdroj: DTIC AND NTIS

Témata: Operations Research, Nonlinear programming, Parametric programming, Optimization, Point-to-set-map, Convexity properties, Concavity properties, WUNR347020

Popis souboru: text/html

Relation: http://www.dtic.mil/docs/citations/ADA138202

Dostupnost: http://www.dtic.mil/docs/citations/ADA138202
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA138202

Necessary optimality conditions for minimax programming problems with mathematical constraints.

Autoři: Bao, Truong Q. Gupta, Pankaj Khanh, Phan Q.

Zdroj: Optimization; 2017, Vol. 66 Issue 11, p1755-1776, 22p

Témata: CHEBYSHEV approximation, FRACTIONAL programming, SUBDIFFERENTIALS, ASPLUND spaces, FUZZY mathematics

Optimality and duality in constrained interval-valued optimization.

Autoři: Van Luu, Do Mai, Tran Thi

Zdroj: 4OR (1619-4500); Sep2018, Vol. 16 Issue 3, p311-337, 27p