Logo

Iterative Methods for Optimization

Large book cover: Iterative Methods for Optimization

Iterative Methods for Optimization
by

Publisher: Society for Industrial Mathematics
ISBN/ASIN: 0898714338
ISBN-13: 9780898714333
Number of pages: 188

Description:
This book presents a carefully selected group of methods for unconstrained and bound constrained optimization problems and analyzes them in depth both theoretically and algorithmically. It focuses on clarity in algorithmic description and analysis rather than generality.

Home page url

Download or read it online for free here:
Download link
(1.4MB, PDF)

Similar books

Book cover: Applied Mathematical ProgrammingApplied Mathematical Programming
by - Addison-Wesley
This book shows you how to model a wide array of problems. Covered are topics such as linear programming, duality theory, sensitivity analysis, network/dynamic programming, integer programming, non-linear programming, and my favorite, etc.
(8133 views)
Book cover: Notes on OptimizationNotes on Optimization
by - Van Nostrand
The author presents the main concepts mathematical programming and optimal control to students having diverse technical backgrounds. A reasonable knowledge of advanced calculus, linear algebra, and linear differential equations is required.
(7061 views)
Book cover: Applied Mathematical Programming Using Algebraic SystemsApplied Mathematical Programming Using Algebraic Systems
by - Texas A&M University
This book is intended to both serve as a reference guide and a text for a course on Applied Mathematical Programming. The text concentrates upon conceptual issues, problem formulation, computerized problem solution, and results interpretation.
(5814 views)
Book cover: Linear Optimisation and Numerical AnalysisLinear Optimisation and Numerical Analysis
by - University of Aberdeen
The book describes the simplex algorithm and shows how it can be used to solve real problems. It shows how previous results in linear algebra give a framework for understanding the simplex algorithm and describes other optimization algorithms.
(9397 views)