OPTIMIZATIONNON-LINEAR PROGRAMMINGMAPPINGTRIANGULAR TUBELOAD UNIFORMITYThe paper focuses on two topics, optimizing the proposed triangular tube for crashworthiness and solving a non-linear programming problem by a "mapping" technique, which the condition of Lagrange Multiplier Theorem is violated within the...
非线性优化问题(Non-Linear Optimization Problem --- NLP)的一般式为: \begin{align*} & minimize\quad &f(x)\\ & subject \quad to\quad & g(x)_i \leq 0 \quad i = 1,...,l\\ && h(x)_j = 0 \quad j = 1,...,k\\ && x\epsilon R^n \end{align*} 只要其中一个函数方程为...
相反，linear optimization和convex optimization都需要问题本身具有特定的结构，利用这些结构可以快速地解决高...
OSTADI B,,MOAZZAMI D,REZAIE K.A non-linear programmingmodel for optimization of the electrical energy consumption in typicalfactory. Journal of Applied Mathematics . 2007A non-linear programming model for optimization of the electrical energy consumption in typical factory[J] . B. Ostadi,D. ...
This article contributes to the development of the field of alternating optimization (AO) and general mixed discrete non-linear programming (MDNLP) by introducing a new decomposition algorithm (AO-MDNLP) based on the augmented Lagrangian multipliers method. In the proposed algorithm, an iterative ...
The application of differential dynamic programming or hybrid quasilinearization technique to the solution of non-linear optimization problems in power systems has encountered the problem of computational instability, particularly in higher order systems. This paper describes the application of a continuation...
A wrapper for the cMPFIT library for the Nim programming language,https://vindaar.github.io/nim-mpfit/ nimnonlinearleast-squaresfittinglevenberg-marquardtnon-linear-optimization UpdatedOct 27, 2022 C Python Quadratic Majorization-Minimization (MM) optimization algorithms of half-quadratic criteria. Invers...
There is a growing interest in methods that solve optimization problems effectively and efficiently. Depending on the nature of the problem, there are methods that ensure that the optimal solution is found, for instance, the Simplex algorithm for linear programming problems, and the Branch and Bound...
Z Yin - 《Mathematical Programming》 被引量: 115发表: 1992年 A NONMONOTONE TRUST REGION ALGORITHM FOR NONLINEAR OPTIMIZATION SUBJECT TO GENARAL CONSTRAINTS Toint.Non-monotone trust-region algorithms for nonlinear optimization subject to convex constraints[J]. Mathematical Programming .1997(3)H. C. Zh...
The micromagnetic solver is fully integrated within the computational engine, which performs gradient-based optimization of the trainable parameters finding the optimal up/down magnet configuration. Micromagnetic simulations, in general, give a highly accurate and predictive description of magnetic behavior, ...