Titlebook: Continuous Optimization; Current Trends and M Vaithilingam Jeyakumar,Alexander Rubinov Book 2005 Springer-Verlag US 2005 Newton‘s method.an

PEL

书目名称Continuous Optimization影响因子(影响力)




书目名称Continuous Optimization影响因子(影响力)学科排名




书目名称Continuous Optimization网络公开度




书目名称Continuous Optimization网络公开度学科排名




书目名称Continuous Optimization被引频次




书目名称Continuous Optimization被引频次学科排名




书目名称Continuous Optimization年度引用




书目名称Continuous Optimization年度引用学科排名




书目名称Continuous Optimization读者反馈




书目名称Continuous Optimization读者反馈学科排名

放肆的你

Some Theoretical Aspects of Newton’s Method for Constrained Best Interpolationx best interpolation problem. Issues addressed include theoretical reduction of the problem to a system of nonsmooth equations, nonsmooth analysis of those equations and development of Newton’s method, convergence analysis and globalization. We frequently use the convex best interpolation to illustr

轻信

admission

On Complexity of Stochastic Programming Problemsing problems with recourse can be solved with a reasonable accuracy by using Monte Carlo sampling techniques, while multistage stochastic programs, in general, are intractable. We also discuss complexity of chance constrained problems and multistage stochastic programs with linear decision rules.

ANTE

Living-Will

Living-Will

A Review of Applications of the Cutting Angle Methodsds have recently emerged as a tool for global optimization of families of abstract convex functions. Their applicability have been subsequently extended to other problems, such as scattered data interpolation. This paper reviews three different applications of cutting angle methods, namely global op

homocysteine

A Numerical Method for Concave Programming Problemsblems have a diverse range of direct and indirect applications. Moreover, concave minimization problems are well known to be NP-hard. In this paper, we present three algorithms which are similar to each other for concave minimization problems. In each iteration of the algorithms, linear programming

Transfusion

Convexification and Monotone Optimizationence of multiple local optimal solutions, finding a global optimal solution of such a problem is computationally difficult. In this survey paper, we summarize global solution methods for the monotone optimization problem. In particular, we propose a unified framework for the recent progress on conve

heirloom

Generalized Lagrange Multipliers for Nonconvex Directionally Differentiable Programsnditions of Kuhn-Tucker type based on the directional derivatives are proved. Here the Lagrange multipliers generally depend on the directions. It is shown that for various concrete classes of problems (including classes convex problems, locally Lipschitz problems, composite nonsmooth problems), gen