Large-Scale Nonlinear Optimization

Massimo Roma

ISBN 10: 1441940146 / ISBN 13: 9781441940148

Verlag: Springer US, 2011

Beschreibung

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.

Bestandsnummer des Verkäufers 9781441940148

Bibliografische Details

• Titel: Large-Scale Nonlinear Optimization
• Verlag: Springer US
• Veröffentlichungsdatum: 2011
• Sprache: Englisch
• ISBN-10: 1441940146
• ISBN-13: 9781441940148
• Bindung: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.

Von der hinteren Coverseite

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.