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...
becomes a non-linear second-order conic optimization problem. such problems have a huge number of applications, including energy systems [ 75 ], network localization [ 84 ], among many others [ 3 ]. \(\diamond \) example 3 (semi-definite programming) if \(\mathbb {e}=\mathbb {s}^{n...
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...
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 ...
约束凸性优化(Constrained convex optimization) 二次规划(Quadratic programming) 拉格朗日对偶(Lagrangian duality) 对于线性及非线性约束问题的算法模型,包括: 原对偶内点法(primal-dual interior-point methods) 罚函数法(penalty methods) 序列二次规划法(sequential quadratic programming(SQP)) 在了解非线性或线性优化前...
A non-linear programming model for optimization of the electrical energy consumption in typical factory[J].Applied mathematics and computation 2007,2(2).A non-linear programming model for optimization of the electrical energy consumption in typical factory[J] . B. Ostadi,D. Moazzami,K. Rezaie....
Some examples of the problem with violation of the sufficient conditions are considered. In general case of the ball problem a branch-and-bound method is proposeddoi:10.1080/02331939408843934Nenakhov, E.I.Primak, M.E.Akademic-VerlagOptimization...
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...
A fairly reasonable result was obtained for non-linear engineering problems using the optimization techniques such as neural network, genetic algorithms, and fuzzy logic independently in the past. Increasingly, hybrid techniques are being used to solve the non-linear problems to obtain better output. ...
and Lin Xiao. "Stochastic variance-reduced prox-linear algorithms for nonconvex composite optimization...