Search Results - "Generalized quadratic programming problem"

Generalized quadratic programming problem with interval uncertainty

Authors: Geetanjali Panda Pankaj Kumar U. C. Gupta

Source: 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). :1-7

Subject Terms: 0209 industrial biotechnology, 0211 other engineering and technologies, 02 engineering and technology

Access URL: https://ieeexplore.ieee.org/abstract/document/6622375
https://dblp.uni-trier.de/db/conf/fuzzIEEE/fuzzIEEE2013.html#KumarPG13

An Efficient Computational Procedure for a Generalized Quadratic Programming Problem: An efficient computational procedure for a generalized quadratic programming problem

Authors: Robert O. Barr

Source: SIAM Journal on Control. 7:415-429

Subject Terms: control theory

File Description: application/xml

Access URL: https://locus.siam.org/doi/abs/10.1137/0307030
https://epubs.siam.org/doi/abs/10.1137/0307030
https://doi.org/10.1137/0307030

Generalized quadratic programming problem with interval uncertainty.

Authors: Kumar, P. Panda, G. Gupta, U.C.

Source: 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE); 2013, p1-7, 7p

A Generalization of Hoffman’s Lemma in Banach Spaces and Applications.

Authors: Huy, Nguyen Quang Tuan, Hoang Ngoc Yen, Nguyen Dong

Source: Applied Mathematics & Optimization. Apr2025, Vol. 91 Issue 2, p1-25. 25p.

Optimality in interval fractional programming problems using d-invexity.

Authors: Pokharna, N. Tripathi, I. P.

Source: Iranian Journal of Fuzzy Systems; Jan/Feb2025, Vol. 22 Issue 1, p71-91, 21p

Subject Terms: PORTFOLIO management (Investments), FRACTIONAL programming, DIRECTIONAL derivatives, DIFFERENTIABLE functions, PROBLEM solving

Computing optimal discrete readout weights in reservoir computing is NP-hard

Authors: Hadaeghi, Fatemeh Jaeger, Herbert

Index Terms: Computer Science - Computational Complexity, text

URL: http://arxiv.org/abs/1809.01021

Computing optimal discrete readout weights in reservoir computing is NP-hard.

Authors: Hadaeghi, Fatemeh Jaeger, Herbert

Source: Neurocomputing. Apr2019, Vol. 338, p233-236. 4p.

Subject Terms: *NP-hard problems, *QUADRATIC programming, *RESERVOIRS

THE CORRELATION DEPENDENCE OF PAYOFFS FOR MIXED STRATEGIES IN GAMES WITH NATURE

Source: Вестник Тверского государственного университета. Серия: Экономика и управление. :139-149

Access URL: http://eprints.tversu.ru/10750/1/%D0%AD%D0%BA%D0%BE%D0%BD%D0%BE%D0%BC%D0%B8%D0%BA%D0%B0%20%E2%84%963-139-149.pdf

Second-Order Optimality Conditions for Infinite-Dimensional Quadratic Programs.

Authors: An, Duong Thi Viet^1,2 (AUTHOR) andtv@tnus.edu.vn

Source: Journal of Optimization Theory & Applications. Feb2022, Vol. 192 Issue 2, p426-442. 17p.

Subject Terms: *BANACH spaces, *QUADRATIC programming, *CONVEX sets

An efficient solution of nonlinear enhanced interval optimization problems and its application to portfolio optimization.

Authors: Kumar, P. Bhurjee, A. K.

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Apr2021, Vol. 25 Issue 7, p5423-5436, 14p

Subject Terms: NONLINEAR equations, UNCERTAINTY

Multi-objective interval linear programming problem with the bounded solution.

Authors: Kumar, Pankaj Govindarajan, A Balaji, N et al.

Source: AIP Conference Proceedings; 2020, Vol. 2277 Issue 1, p1-12, 12p

Subject Terms: LINEAR programming, DECISION making

Numerical solution of a general interval quadratic programming model for portfolio selection.

Authors: Jianjian Wang Feng He Xin Shi

Source: PLoS ONE; 3/13/2019, Vol. 14 Issue 3, p1-16, 16p

Subject Terms: QUADRATIC programming, DUALITY theory (Mathematics), TRANSACTION costs, FINANCIAL markets, LAGRANGE multiplier

Affine Variational Inequalities on Normed Spaces.

Authors: Yen, Nguyen Dong Yang, Xiaoqi

Source: Journal of Optimization Theory & Applications; Jul2018, Vol. 178 Issue 1, p36-55, 20p

Subject Terms: VARIATIONAL inequalities (Mathematics), NORMED rings, VECTOR spaces, MATHEMATICAL decomposition, QUADRATIC programming

Solving nonlinear interval optimization problem using stochastic programming technique.

Authors: Kumar, P. Panda, G.

Source: OPSEARCH; Dec2017, Vol. 54 Issue 4, p752-765, 14p

Newton method to obtain efficient solutions of the optimization problems with interval-valued objective functions.

Authors: Ghosh, Debdas

Source: Journal of Applied Mathematics & Computing; Feb2017, Vol. 53 Issue 1/2, p709-731, 23p

A Newton method for capturing efficient solutions of interval optimization problems.

Authors: Ghosh, Debdas

Source: OPSEARCH; Sep2016, Vol. 53 Issue 3, p648-665, 18p

Portfolio rebalancing model with transaction costs using interval optimization.

Authors: Kumar, Pankaj Panda, Geetanjali Gupta, U.

Source: OPSEARCH; Dec2015, Vol. 52 Issue 4, p827-860, 34p

Numerical methods for control optimization in linear systems.

Authors: Tyatyushkin, A.

Source: Computational Mathematics & Mathematical Physics; May2015, Vol. 55 Issue 5, p734-748, 15p

Subject Terms: OPTIMAL control theory, NUMERICAL calculations, LINEAR systems, CONSTRAINT algorithms, ADAPTIVE control systems, LINEAR programming

A Global Optimization Algorithm for Generalized Quadratic Programming.

Authors: Hongwei Jiao Yongqiang Chen

Source: Journal of Applied Mathematics; 2013, p1-9, 9p

Subject Terms: GLOBAL optimization, ALGORITHMS, QUADRATIC programming, LINEAR programming, NUMERICAL analysis, MATHEMATICS, MATHEMATICAL functions

An Algorithm for Solving the Minimum-Norm Point Problem over the Intersection of a Polytope and an Affine Set.

Authors: Fujishige, S. Liu, X. Zhang, X.

Source: Journal of Optimization Theory & Applications; Apr2000, Vol. 105 Issue 1, p113-147, 35p