Trust Region Methods

Trust Region Methods
Author :
Publisher : SIAM
Total Pages : 960
Release :
ISBN-10 : 9780898714609
ISBN-13 : 0898714605
Rating : 4/5 (09 Downloads)

Book Synopsis Trust Region Methods by : A. R. Conn

Download or read book Trust Region Methods written by A. R. Conn and published by SIAM. This book was released on 2000-01-01 with total page 960 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics of Computing -- General.


Trust Region Methods Related Books

Trust Region Methods
Language: en
Pages: 960
Authors: A. R. Conn
Categories: Mathematics
Type: BOOK - Published: 2000-01-01 - Publisher: SIAM

DOWNLOAD EBOOK

Mathematics of Computing -- General.
Optimization in Chemical Engineering
Language: en
Pages: 384
Authors: Suman Dutta
Categories: Technology & Engineering
Type: BOOK - Published: 2016-03-11 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Optimization is used to determine the most appropriate value of variables under given conditions. The primary focus of using optimisation techniques is to measu
Mathematical Programming The State of the Art
Language: en
Pages: 662
Authors: A. Bachem
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

In the late forties, Mathematical Programming became a scientific discipline in its own right. Since then it has experienced a tremendous growth. Beginning with
Frontiers in PDE-Constrained Optimization
Language: en
Pages: 435
Authors: Harbir Antil
Categories: Mathematics
Type: BOOK - Published: 2018-10-12 - Publisher: Springer

DOWNLOAD EBOOK

This volume provides a broad and uniform introduction of PDE-constrained optimization as well as to document a number of interesting and challenging application
Introduction to Derivative-Free Optimization
Language: en
Pages: 276
Authors: Andrew R. Conn
Categories: Mathematics
Type: BOOK - Published: 2009-04-16 - Publisher: SIAM

DOWNLOAD EBOOK

The first contemporary comprehensive treatment of optimization without derivatives. This text explains how sampling and model techniques are used in derivative-