Large-Scale Nonlinear Optimization

Gianni Pillo

ISBN 10: 1441940146 / ISBN 13: 9781441940148

Published by Springer, Springer, 2011

About this Item

Druck auf Anfrage Neuware - Printed after ordering - Large-Scale Nonlinear Optimization reviews and discusses recent advances in the development of methods and algorithms for nonlinear optimization and its applications, focusing on the large-dimensional case, the current forefront of much research.The chapters of the book, authored by some of the most active and well-known researchers in nonlinear optimization, give an updated overview of the field from different and complementary standpoints, includingtheoretical analysis, algorithmic development, implementation issues and applications.

Seller Inventory # 9781441940148

Bibliographic Details

• Title: Large-Scale Nonlinear Optimization
• Publisher: Springer, Springer
• Publication Date: 2011
• Language: English
• ISBN 10: 1441940146
• ISBN 13: 9781441940148
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 17D millimeters 235 millimeters width by 155 millimeters height by 17 millimeters depth
• Weight: 470 grams

About this title

Synopsis

Large-Scale Nonlinear Optimization reviews and discusses recent advances in the development of methods and algorithms for nonlinear optimization and its applications, focusing on the large-dimensional case, the current forefront of much research.

The chapters of the book, authored by some of the most active and well-known researchers in nonlinear optimization, give an updated overview of the field from different and complementary standpoints, including theoretical analysis, algorithmic development, implementation issues and applications.

From the Back Cover

Large-Scale Nonlinear Optimization reviews and discusses recent advances in the development of methods and algorithms for nonlinear optimization and its applications, focusing on the large-dimensional case, the current forefront of much research.

The chapters of the book, authored by some of the most active and well-known researchers in nonlinear optimization, give an updated overview of the field from different and complementary standpoints, including theoretical analysis, algorithmic development, implementation issues and applications.

 

Audience

This book is intended for researchers in applied mathematics, advanced engineering, and computer science; it is also recommended for further reading within graduate studies, postgraduate and doctoral programs.