Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


Image from Google Jackets

Introduction to nonlinear optimization : theory, algorithms, and applications with MATLAB / Amir Beck.

By: Material type: TextTextSeries: MOS-SIAM series on optimizationPublication details: Philadelphia : Society for Industrial and Applied Mathematics :, ©2014.Description: xii, 282 p. : illustrations (some color) ; 26 cmISBN:
  • 9781611973648 (pbk)
Subject(s): DDC classification:
  • 519.3 23 B393
Contents:
1. Mathematical preliminaries -- 2. Optimality conditions for unconstrained optimization -- 3. Least squares -- 4. The gradient method -- 5. Newton's method -- 6. Convex sets -- 7. Convex functions -- 8. Convex optimization -- 9. Optimization over a convex set -- 10. Optimality conditions for linearly constrained problems -- 11. The KKT conditions -- 12. Duality.
Summary: This book provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from diverse areas of applied sciences. The author combines three pillars of optimization-theoretical and algorithmic foundation, familiarity with various applications, and the ability to apply the theory and algorithms on actual problems--and rigorously and gradually builds the connection between theory, algorithms, applications, and implementation.
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 519.3 B393 (Browse shelf(Opens below)) Available 137266
Total holds: 0

Includes bibliographical references and index.

1. Mathematical preliminaries --
2. Optimality conditions for unconstrained optimization --
3. Least squares --
4. The gradient method --
5. Newton's method --
6. Convex sets --
7. Convex functions --
8. Convex optimization --
9. Optimization over a convex set --
10. Optimality conditions for linearly constrained problems --
11. The KKT conditions --
12. Duality.

This book provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from diverse areas of applied sciences. The author combines three pillars of optimization-theoretical and algorithmic foundation, familiarity with various applications, and the ability to apply the theory and algorithms on actual problems--and rigorously and gradually builds the connection between theory, algorithms, applications, and implementation.

There are no comments on this title.

to post a comment.
Library, Documentation and Information Science Division, Indian Statistical Institute, 203 B T Road, Kolkata 700108, INDIA
Phone no. 91-33-2575 2100, Fax no. 91-33-2578 1412, ksatpathy@isical.ac.in