Tangentially convex functionsSolution setsSome characterizations of solution sets of a convex optimization problem with a convex feasible set described by tangentially convex constraints are given. The results are expressed in terms of convex subdifferentials, tangential subdifferentials, and Lagrange ...
Look for help. How to deal with the following convex optimization problem with matlab and cvx tool with out Illegal operation: log( {complex affine} )? 419Mar 11 Cvx_setup ‘now working’ with new matlab 2024a 291Apr 7 Sqlp stop: primal problem is suspected of being infeasible ...
We study several examples of well known nonconvex problems, and show that our general purpose heuristics are effective in finding approximate solutions to a wide variety of problems. 展开 关键词: Mathematics - Optimization and Control DOI: 10.48550/arXiv.1601.07277 被引量: 19 ...
In this paper we study the auxiliary problems that appear in p-order tensor methods for unconstrained minimization of convex functions with n-H枚lder continuous pth derivatives. This type of auxiliary problems corresponds to the minimization of a (p+n)-order regularization of the pth order ...
LMG Drummond,BF Svaiter - 《Journal of Computational & Applied Mathematics》 被引量: 184发表: 2005年 On the convergence properties of the projected gradient method for convex optimization When applied to an unconstrained minimization problem with a convex objective, the steepest descent method has ...
Convex optimization has found wide applications in recent years due to its unique theoretical advantages and the polynomial-time complexity of state-of-the-art solution algorithms for convex programming. This paper represents an attempt ... X Liu,Z Shen,L Ping - 《Journal of Guidance Control & ...
Numerical Functional Analysis and OptimizationD. Schott : Iterative solution of convex problems by Fejér-monotone methods. Numer. Funct. Anal. and Optimiz. 16 (1995), 1323–1357.D. Schott: Iterative solution of convex problems by Fejer monotone methods, Numer. Funct. Anal. Optimiz. 16 (1995)...
Summary: The current work shows the formulation and implementation of an algorithm for the solution of convex mixed-integer nonlinear programming (MINLP) problems. The proposed algorithm does not follow the traditional sequence of solutions of nonlinear programming (NLP) subproblems and master mixed-inte...
The advancement of renewable energy (RE) represents a pivotal strategy in mitigating climate change and advancing energy transition efforts. A current of r
A local optimal solution is a solution that is the best within a specific neighborhood of feasible solutions, as identified during the optimization process. AI generated definition based on: Computer Aided Chemical Engineering, 2016 About this pageSet alert Discover other topics On this page Definitio...