Suchergebnisse - (mixed‐integer OR mixed‐internet) second‐order one programming problems~

New Mixed-Integer Nonlinear Programming Formulations for the Unit Commitment Problems with Ramping Constraints.

Autoren: Bacci, Tiziano Frangioni, Antonio Gentile, Claudio et al.

Quelle: Operations Research; Sep/Oct2024, Vol. 72 Issue 5, p2153-2167, 15p

Schlagwörter: ELECTRIC power, NONLINEAR programming, DYNAMIC programming, ELECTRICITY pricing, CONSTRAINT programming

Third Order Symmetric Duality in Multiobjective Programming Problems.

Autoren: Padhan, S. K. Behera, N. Biswal, G.

Quelle: International Journal of Applied & Computational Mathematics; Aug2025, Vol. 11 Issue 4, p1-16, 16p

An outer space approximation approach for generalized affine multiplicative programming problems.

Autoren: Hou, Zhisong Zhao, Zhenwei Bai, Yupeng et al.

Quelle: Advances in Continuous & Discrete Models; 8/5/2025, Vol. 2025 Issue 1, p1-25, 25p

Schlagwörter: OUTER space, BRANCH & bound algorithms, MATHEMATICAL optimization, MATHEMATICAL programming, MATHEMATICAL analysis, LINEAR programming, RELAXATION methods (Mathematics)

On the new solution to interval linear fractional programming problems.

Autoren: Khastan, A. Jimenez, B. Hernandez Moreno, A. Beato

Quelle: Evolutionary Intelligence; Oct2024, Vol. 17 Issue 5/6, p4001-4005, 5p

LEVERAGING GPU BATCHING FOR SCALABLE NONLINEAR PROGRAMMING THROUGH MASSIVE LAGRANGIAN DECOMPOSITION.

Autoren: KIM, YOUNGDAE PACAUD, FRANÇOIS SCHANEN, MICHEL et al.

Quelle: SIAM Journal on Scientific Computing; 2025, Vol. 47 Issue 5, pB1133-B1157, 25p

Schlagwörter: NONLINEAR programming, DECOMPOSITION method, BATCH processing

Firma/Körperschaft: OAK Ridge National Laboratory

A solution method for stochastic multilevel programming problems. A systematic sampling evolutionary approach.

Autoren: Goshu, Natnael Nigussie Kassa, Semu Mitiku

Quelle: Operations Research & Decisions; 2024, Vol. 34 Issue 1, p149-174, 26p

Schlagwörter: STOCHASTIC programming, STATISTICAL sampling, MATHEMATICAL programming, PARTICLE swarm optimization, RANDOM variables

Efficient algorithm for globally computing the min–max linear fractional programming problem.

Autoren: Jiao, Hongwei Wang, Wenjie Ge, Li et al.

Quelle: RAIRO: Operations Research (2804-7303); 2023, Vol. 57 Issue 3, p1523-1537, 15p

Schlagwörter: FRACTIONAL programming, ALGORITHMS, OUTER space, COMPUTATIONAL complexity, RELAXATION methods (Mathematics), GLOBAL optimization, LINEAR programming

Convexification techniques for fractional programs.

Autoren: He, Taotao Liu, Siyue Tawarmalani, Mohit

Quelle: Mathematical Programming; Sep2025, Vol. 213 Issue 1/2, p107-149, 43p

Schlagwörter: FRACTIONAL programming, MATHEMATICAL optimization, CONVEX sets, COMBINATORIAL optimization, MATHEMATICAL simplification, MATHEMATICAL transformations, POLYNOMIALS

Feature Selection and Grouping Effect Analysis for Credit Evaluation via Regularized Diagonal Distance Metric Learning.

Autoren: Li, Tie Kou, Gang Peng, Yi et al.

Quelle: INFORMS Journal on Computing; Sep/Oct2025, Vol. 37 Issue 5, p1391-1412, 22p

Schlagwörter: FEATURE selection, CREDIT risk, CREDIT analysis, MATHEMATICAL optimization, MATHEMATICAL regularization, NONLINEAR statistical models

On Solving Nonsmooth Mixed-Integer Nonlinear Programming Problems by Outer Approximation and Generalized Benders Decomposition.

Autoren: Wei, Zhou Ali, M. Montaz Xu, Liang et al.

Quelle: Journal of Optimization Theory & Applications; Jun2019, Vol. 181 Issue 3, p840-863, 24p

Schlagwörter: NONLINEAR programming, NONSMOOTH optimization, NONLINEAR equations, CONVEX functions, APPROXIMATION algorithms, PROBLEM solving

Topology and size optimization of viscous dampers with discrete design variables by outer approximation.

Autoren: Pollini, Nicolò

Quelle: Engineering Optimization; Oct2025, Vol. 57 Issue 10, p2809-2829, 21p

Exploiting aggregate sparsity in second-order cone relaxations for quadratic constrained quadratic programming problems.

Autoren: Sheen, Heejune Yamashita, Makoto

Quelle: Optimization Methods & Software; Apr2022, Vol. 37 Issue 2, p753-771, 19p

Schlagwörter: QUADRATIC programming, SEMIDEFINITE programming, CONES

Geografische Kategorien: THAILAND

A distributed optimization method for urban active distribution networks considering SOPs and user side flexible resources based on ADMM

Autoren: Chunhe Jia Botao Huang Zhiyuan Chuai et al.

Quelle: Systems Science & Control Engineering, Vol 12, Iss 1 (2024)

Schlagwörter: Active distribution network, alternating direction method of multiplier, dynamic network reconfiguration, mixed integer second order cone programming, soft open point, Control engineering systems. Automatic machinery (General), TJ212-225, Systems engineering, TA168

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2164-2583

Zugangs-URL: https://doaj.org/article/b13aa5930b3343158408bb8efb82d27a

On Valid Inequalities for Mixed Integer p-Order Cone Programming.

Autoren: Vinel, Alexander Krokhmal, Pavlo

Quelle: Journal of Optimization Theory & Applications; Feb2014, Vol. 160 Issue 2, p439-456, 18p

Schlagwörter: MATHEMATICAL inequalities, MIXED integer linear programming, ARBITRARY constants, MATHEMATICAL optimization, NUMERICAL analysis

A novel computational method for neutrosophic uncertainty related quadratic fractional programming problems.

Autoren: Edalatpanah, S. A. Abdolmaleki, E. El- Wahed Khalifa, Hamiden Abd et al.

Quelle: Neutrosophic Sets & Systems; 2023, Vol. 58, p611-630, 20p

Schlagwörter: LINEAR programming, FRACTIONAL programming, DECISION making, SOFTWARE development tools, QUADRATIC programming, ALGORITHMS, COMPARATIVE studies

An Efficient Active-Set method With Applications to Sparse Approximations and Risk Minimization.

Autoren: Pougkakiotis, Spyridon Gondzio, Jacek Kalogerias, Dionysis

Quelle: Journal of Scientific Computing; Aug2025, Vol. 104 Issue 2, p1-37, 37p

Optimization of Interconnected Natural Gas and Power Systems Using Mathematical Programs with Complementarity Constraints.

Autoren: Blanco-Martínez, Cristian Alejandro Álvarez-Meza, Andrés Marino Castellanos-Dominguez, Germán et al.

Quelle: Mathematics (2227-7390); Jul2024, Vol. 12 Issue 14, p2224, 15p

Schlagwörter: GAS flow, CONSTRAINT programming, MATHEMATICAL programming, APPROXIMATION error, NATURAL gas, COMPLEMENTARITY constraints (Mathematics)

COMPUTING EXACT D-OPTIMAL DESIGNS BY MIXED INTEGER SECOND-ORDER CONE PROGRAMMING

Autoren: Sagnol, Guillaume Harman, Radoslav

Quelle: The Annals of Statistics, 2015 Oct 01. 43(5), 2198-2224.

Zugangs-URL: http://www.jstor.org/stable/43818575

INFEASIBILITY DETECTION WITH PRIMAL-DUAL HYBRID GRADIENT FOR LARGE-SCALE LINEAR PROGRAMMING.

Autoren: APPLEGATE, DAVID DIAZ, MATEO LU, HAIHAO et al.

Quelle: SIAM Journal on Optimization; 2024, Vol. 34 Issue 1, p459-484, 26p

Schlagwörter: SEMIDEFINITE programming, QUADRATIC programming, LINEAR programming, ALGORITHMS

An Efficient Splitting Algorithm for Solving the CDT Subproblem.

Autoren: Dai, Jinyu

Quelle: Asia-Pacific Journal of Operational Research; Feb2024, Vol. 41 Issue 1, p1-25, 25p

Schlagwörter: QUADRATIC programming, ALGORITHMS, ELLIPSOIDS