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Applied Optimization with MATLAB Programming by P. Venkataraman (2001, Hardcover)

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A new approach to learning classical optimization methods-numerical techniques modeled and illustrated via MATLAB This unique and timely volume combines a formal presentation of classical methods of design optimization with detailed instruction in the application of these methods using MATLAB. It introduces readers to the symbolic, numerical, and graphic features of MATLAB and integrates this powerful combination in the translation of many algorithms into applied optimization techniques with animation. Applied Optimization with MATLAB Programming develops all necessary mathematical concepts, illustrates abstract mathematical ideas of optimization using MATLAB's rich graphics features, and introduces new programming skills incrementally as optimization concepts are presented. This valuable learning tool: * Focuses on real-world optimization techniques * Covers all areas of optimization, including linear, nonlinear, discrete, and global * Includes creative examples from many disciplines * Presents a number of practical, open-ended design problems * Features an accompanying Web site with MATLAB code for all the numerical techniques and examples in the book This one-of-a-kind resource enables senior-undergraduate and graduate students in engineering and other design disciplines to develop practical programming skills as they master the concepts of optimization. It is also an excellent self-teaching guide for design engineers in all fields of endeavor.

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471349585
ISBN-13
9780471349587
eBay Product ID (ePID)
1920193

Product Key Features

Author
P. Venkataraman
Publication Name
Applied Optimization with Matlab Programming
Format
Hardcover
Language
English
Publication Year
2001
Type
Textbook
Number of Pages
416 Pages

Dimensions

Item Length
9.4in
Item Height
1in
Item Width
6.5in
Item Weight
25.1 Oz

Additional Product Features

Lc Classification Number
Qa402.5.V42 2002
Table of Content
PREFACE.1 Introduction.1.1 Optimization Fundamentals.1.1.1 Elements of Problem Formulation.1.1.2 Mathematical Modeling.1.1.3 Nature of Solution.1.1.4 Characteristics of the Search Procedure.1.2 Introduction to MATLAB.1.2.1 Why MATLAB?1.2.2 MATLAB Installation Issues.1.2.3 Using MATLAB the First Time.1.2.4 Using the Editor.1.2.5 Creating a Code Snippet.1.2.6 Creating a Program.Problems.2 Graphical Optimization.2.1 Problem Definition.2.1.1 Example 2.1.2.1.2 Format for the Graphical Display.2.2 Graphical Solution.2.2.1 MATLAB High-Level Graphics Functions.2.2.2 Example 2.1 Graphical Solution.2.2.3 Displaying the Graphics.2.2.4 Customizing the Figure.2.3 Additional Examples.2.3.1 Example 2.2.2.3.2 Example 2.3.2.3.3 Example 2.4.2.4 Additional MATLAB Graphics.2.4.1 Handle Graphics.2.4.2 Graphical User Interface.2.4.3 GUI Code.References.Problems.3 Linear Programming.3.1 Problem Definition.3.1.1 Standard Format.3.1.2 Modeling Issues.3.2 Graphical Solution.3.2.1 Example 3.1.3.2.2 Characteristics of the Solution.3.2.3 Different Solution Types.3.3 Numerical Solution the Simplex Method.3.3.1 Features of the Simplex Method.3.3.2 Application of Simplex Method.3.3.3 Solution Using MATLAB.3.3.4 Solution Using MATLAB s Optimization Toolbox.3.4 Additional Examples.3.4.1 Example 3.2 Transportation Problem.3.4.2 Example 3.3 Equality Constraints and UnrestrictedVariables.3.4.3 Example 3.4 A Four-Variable Problem.3.5 Additional Topics in Linear Programming.3.5.1 Primal and Dual Problem.3.5.2 Sensitivity Analysis.References.Problems.4 Nonlinear Programming.4.1 Problem Definition.4.1.1 Problem Formulation Example 4.1.4.1.2 Discussion of Constraints.4.2 Mathematical Concepts.4.2.1 Symbolic Computation Using MATLAB.4.2.2 Basic Mathematical Concepts.4.2.3 Taylor s Theorem/Series.4.3 Graphical Solutions.4.3.1 Unconstrained Problem.4.3.2 Equality Constrained Problem.4.3.3 Inequality Constrained Problem.4.3.4 Equality and Inequality Constraints.4.4 Analytical Conditions.4.4.1 Unconstrained Problem.4.4.2 Equality Constrained Problem.4.4.3 Inequality Constrained Optimization.4.4.4 General Optimization Problem.4.5 Examples.4.5.1 Example 4.2.4.5.2 Example 4.3.References.Problems.5 Numerical TechniquesThe One-Dimensional Problem.5.1 Problem Definition.5.1.1 Constrained One-Dimensional Problem.5.2 Solution to the Problem.5.2.1 Graphical Solution.5.2.2 Newton-Raphson Technique.5.2.3 Bisection Technique.5.2.4 Polynomial Approximation.5.2.5 Golden Section Method.5.3 Importance of the One-Dimensional Problem.5.4 Additional Examples.5.4.1 Example 5.2 Illustration of General Golden Section Method.5.4.2 Example 5.3 Two-Point Boundary Value Problem.5.4.3 Example 5.4 Root Finding with Golden Section.References.Problems.6 Numerical Techniques for Unconstrained Optimization.6.1 Problem Definition.6.1.1 Example 6.1.6.1.2 Necessary and Sufficient Conditions.6.1.3 Elements of a Numerical Technique.6.2 Numerical Techniques Nongradient Methods.6.2.1 Random Walk.6.2.2 Pattern Search.6.2.3 Powell s Method.6.3 Numerical Techniques Gradient-Based Methods.6.3.1 Steepest Descent Method.6.3.2 Conjugate Gradient (Fletcher-Reeves)Method.6.3.3 Davidon-Fletcher-Powell Method.6.3.4 Broydon-Fletcher-Goldfarb-Shanno Method.6.4 Numerical Techniques Second Order.6.5 Additional Examples.6.5.1 Example 6.2 Rosenbrock Problem.6.5.2 Example 6.3 Three-Dimensional Flow near a Rotating Disk.6.5.3 Example 6.4 Fitting Bezier Parametric Curves.Refe
Copyright Date
2002
Topic
Mathematical & Statistical Software, Mechanical, General, Optimization
Lccn
2001-026938
Dewey Decimal
519.3
Intended Audience
Scholarly & Professional
Dewey Edition
22
Illustrated
Yes
Genre
Computers, Technology & Engineering, Mathematics

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Applied Optimization with MATLAB Programming by P. Venkataraman (2001, Hardcover)

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item 1 Applied Optimization with MATLAB Programming by Venkataraman, P.

item 2 Applied Optimization with Matlab Programming by P Venkataraman

item 3 APPLIED OPTIMIZATION WITH MATLAB PROGRAMMING By P. Venkataraman - Hardcover VG

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