Results 21 to 30 of about 6,410,351 (366)
LINEAR PROGRAMMING APPLIED TO A CONVEX PROGRAMMING TYPE
Pesquimat, 2014 In the present’s paper studying a strategy for a typo of convex problem, we treat a linear programming problem whose coefficient of decision variables in the objective function has a nonlinear behavior.
Edinson Raúl Montoro Alegre +3 more
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Componentwise Fractional Programming with Application to Resource Allocation [PDF]
Modeling, Identification and Control, 1983 A fractional programming problem is considered of the maximization of the ratio of a concave and a convex function, with each variable occurring in a single convex component constraint.
Kåre M. Mjelde
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A new approach to secure economic power dispatch [PDF]
, 1998 This article presents a new nonlinear convex network flow programming model and algorithm for solving the on-line economic power dispatch with N and N−1 security.
Irving, MR, Xu, GY, Zhu, JZ
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Global Optimization for the Sum of Concave-Convex Ratios Problem
Journal of Applied Mathematics, 2014 This paper presents a branch and bound algorithm for globally solving the sum of concave-convex ratios problem (P) over a compact convex set. Firstly, the problem (P) is converted to an equivalent problem (P1).
XueGang Zhou, JiHui Yang
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Journal of Applied Mathematics, 2011 Convex multiobjective programming problems and multiplicative programming problems have important applications in areas such as finance, economics, bond portfolio optimization, engineering, and other fields. This paper presents a quite easy algorithm for
Le Quang Thuy +2 more
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Disciplined convex-concave programming [PDF]
2016 IEEE 55th Conference on Decision and Control (CDC), 2016 In this paper we introduce disciplined convex-concave programming (DCCP), which combines the ideas of disciplined convex programming (DCP) with convex-concave programming (CCP). Convex-concave programming is an organized heuristic for solving nonconvex problems that involve objective and constraint functions that are a sum of a convex and a concave ...
Shen, Xinyue +3 more
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Journal of Inequalities and Applications, 2023 In this paper, we present an inexact multiblock alternating direction method for the point-contact friction model of the force-optimization problem (FOP).
Yaling Zhang, Xuewen Mu
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Semidefinite descriptions of the convex hull of rotation matrices [PDF]
, 2014 We study the convex hull of $SO(n)$, thought of as the set of $n\times n$ orthogonal matrices with unit determinant, from the point of view of semidefinite programming. We show that the convex hull of $SO(n)$ is doubly spectrahedral, i.e. both it and its
Parrilo, Pablo A. +2 more
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Mehran University Research Journal of Engineering and Technology, 2020 Economic Dispatch (ED) is one of the major concerns for the efficient and economical operation of the modern power system. Actual ED problem is non-convex in nature due to Ramp Rate Limits (RRL), Valve-Point Loading Effects (VPLE), and Prohibited ...
Hafiz Muhammad Awais +2 more
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A Multi-Step Inertial Proximal Peaceman-Rachford Splitting Method for Separable Convex Programming
IEEE Access, 2023 In this paper, we propose a multi-step inertial proximal Peaceman-Rachford splitting method (abbreviated as MIP-PRSM) for solving the two-block separable convex optimization problems with linear constraints, which is a unified framework for such Peaceman-
Hongyan Li, Dongmei Yu, Leifu Gao
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