Cover image for Applied Nonlinear Programming.
Applied Nonlinear Programming.
Title:
Applied Nonlinear Programming.
Author:
Sharma, Sanjay.
ISBN:
9788122423396
Personal Author:
Edition:
1st ed.
Physical Description:
1 online resource (90 pages)
Contents:
Cover -- Preface -- Contents -- Chapter 1. Introduction -- 1.1 Applications -- 1.2 Maxima and Minima -- 1.3 Convex and Concave Function -- 1.4 Classification -- Chapter 2. One Variable Optimization -- 2.1 Unrestricted Search -- 2.2 Method of Golden Section -- 2.3 Quadratic Interpolation -- 2.4 Newton Raphson Method -- Chapter 3. Unconstrained and Constrained Optimization -- 3.1 Dichotomous Search -- 3.2 Univariate Method -- 3.3 Penalty Function Method -- 3.4 Industrial Application -- Chapter 4. Geometric Programming -- 4.1 Introduction -- 4.2 Mathematical Analysis -- 4.3 Examples -- Chapter 5. Multi-Variable optimization -- 5.1 Convex/Concave Function -- 5.2 Lagrangean Method -- 5.3 The Kuhn-Tucker Conditions -- 5.4 Industrial Economics Application -- 5.5 Inventory Application -- References.
Abstract:
The present book explains the applied nonlinear programming, which has wide spread scientific and industrial applications. Salient features One variable optimization Unconstrained and constrained optimization Geometric programming Multi-variable optimization The book is a useful reference/text for practitioners/students.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Electronic Access:
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