๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Trust-Region Methods (MPS-SIAM Series on Optimization)

โœ Scribed by Andrew R. Conn, Nicholas I. M. Gould, Philippe L. Toint


Year
1987
Tongue
English
Leaves
980
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


This is the first comprehensive reference on trust-region methods, a class of numerical algorithms for the solution of nonlinear convex optimization methods. Its unified treatment covers both unconstrained and constrained problems and reviews a large part of the specialized literature on the subject. It also provides an up-to-date view of numerical optimization. Written primarily for postgraduates and researchers, the book features an extensive commented bibliography, which contains more than 1000 references by over 750 authors. The book also contains several practical comments and an entire chapter devoted to software and implementation issues. Its many illustrations, including nearly 100 figures, balance the formal and intuitive treatment of the presented topics.


๐Ÿ“œ SIMILAR VOLUMES


The Sharpest Cut (MPS-SIAM Series on Opt
โœ Martin Grotschel ๐Ÿ“‚ Library ๐Ÿ“… 1987 ๐ŸŒ English

The Sharpest Cut is written in honor of Manfred Padberg, who has made fundamental contributions to both the theoretical and computational sides of integer programming and combinatorial optimization. This outstanding collection presents recent results in these areas that are closely connected to Padb

Introduction to Derivative-Free Optimiza
โœ Andrew R. Conn, Katya Scheinberg, Luรญs N. Vicente ๐Ÿ“‚ Library ๐Ÿ“… 2009 ๐Ÿ› Society for Industrial and Applied Mathematics ๐ŸŒ English

The absence of derivatives, often combined with the presence of noise or lack of smoothness, is a major challenge for optimization. This book explains how sampling and model techniques are used in derivative-free methods and how these methods are designed to efficiently and rigorously solve optimiza

Applications of Stochastic Programming (
โœ Stein W. Wallace, William T. Ziemba ๐Ÿ“‚ Library ๐Ÿ“… 2005 ๐ŸŒ English

Research on algorithms and applications of stochastic programming, the study of procedures for decision making under uncertainty over time, has been very active in recent years and deserves to be more widely known. This is the first book devoted to the full scale of applications of stochastic progra

Lectures on Modern Convex Optimization:
โœ Aharon Ben-Tal, Arkadi Nemirovski ๐Ÿ“‚ Library ๐Ÿ“… 2001 ๐Ÿ› Society for Industrial Mathematics ๐ŸŒ English

Lectures on Convex Optimization is devoted to well structured and efficiently solvable convex optimization problems, with an emphasis on conic quadratic and semidefinite programming. The authors begin with linear programming, and then progress to conic programming. [I really enjoyed their descriptio

Lectures on Modern Convex Optimization:
โœ Aharon Ben-Tal, Arkadi Nemirovski ๐Ÿ“‚ Library ๐Ÿ“… 2001 ๐ŸŒ English

Here is a book devoted to well-structured and thus efficiently solvable convex optimization problems, with emphasis on conic quadratic and semidefinite programming. The authors present the basic theory underlying these problems as well as their numerous applications in engineering, including synthes