Nonlinear optimization : methods and applications / H. A. Eiselt, Carl-Louis Sandblom.
Eiselt, Horst A., 1950- author.; Sandblom, Carl-Louis, 1942- author.
2019
T57.8
Available Online

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Title Nonlinear optimization : methods and applications / H. A. Eiselt, Carl-Louis Sandblom.
Author Eiselt, Horst A., 1950- author.
ISBN 9783030194628 (electronic book)
3030194620 (electronic book)
9783030194611
DOI https://doi.org/10.1007/978-3-030-19462-8
https://doi.org/10.1007/978-3-030-19
Published Cham, Switzerland : Springer, 2019.
Language English
Description 1 online resource (xii, 366 pages) : illustrations.
Item Number 10.1007/978-3-030-19462-8 doi
10.1007/978-3-030-19
Call Number T57.8
Dewey Decimal Classification 519.7/6
Summary This book provides a comprehensive introduction to nonlinear programming, featuring a broad range of applications and solution methods in the field of continuous optimization. It begins with a summary of classical results on unconstrained optimization, followed by a wealth of applications from a diverse mix of fields, e.g. location analysis, traffic planning, and water quality management, to name but a few. In turn, the book presents a formal description of optimality conditions, followed by an in-depth discussion of the main solution techniques. Each method is formally described, and then fully solved using a numerical example.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed November 12, 2019).
Added Author Sandblom, Carl-Louis, 1942- author.
Series International series in operations research & management science ; 282.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Introduction
Unconstrained Optimization
Applications of Nonlinear Programming
Optimality Conditions and Duality Theory
General Solution Methods for Constrained Optimization
Methods for Linearly Constrained Problems
Methods for Nonlinearly Constrained Problems
Geometric Programming.

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