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MATLAB optimization techniques
Perez Lopez, Cesar.
- ISBN:1484202937
- ISBN:9781484202937
- ISBN:1484202929
- ISBN:9781484202920
- Call Number : QA 402 .5 .P47 2014
- Main Entry: Perez Lopez, Cesar.
- Title:MATLAB optimization techniques [electronic resource] / Cesar Perez Lopez.
- Publisher:New York : Apress, 2014.
- Physical Description: ix, 292 p. : ill
- Notes:CD no.1224
- Subject:MATLAB
- Subject:Mathematical optimization -- Computer programs.
- Subject:Numerical analysis -- Data processing.
- Additional formats:Printed edition 9781484202937
- Contents at a Glance
- Contents
- About the Author
- Chapter 1: Introducing MATLAB and the MATLAB Working Environment
- Chapter 2: MATLAB Programming
- 2.1 MATLAB Programming
- 2.1.1 The Text Editor
- 2.1.2 Scripts
- 2.1.3 Functions and M-files. Eval and Feval
- 2.1.4 Local and Global Variables
- 2.1.5 Data Types
- 2.1.6 Flow Control: FOR, WHILE and IF ELSEIF Loops
- 2.1.7 Subfunctions
- 2.1.8 Commands in M-files
- 2.1.9 Functions Relating to Arrays of Cells
- 2.1.10 Multidimensional Array Functions
- 2.1 MATLAB Programming
- Chapter 3: Basic MATLAB Functions for Linear and Non-Linear Optimization
- Chapter 4: Optimization by Numerical Methods: Solving Equations
- Chapter 5: Optimization Using Symbolic Computation
- Chapter 6: Optimization Techniques Via The Optimization Toolbox
- 6.1 The Optimization Toolbox
- 6.2 Minimization Algorithms
- 6.2.1 Multiobjective Problems
- 6.2.2 Non-Linear Scalar Minimization With Boundary Conditions
- 6.2.3 Non-Linear Minimization with Restrictions
- 6.2.4 Minimax Optimization: fminimax and fminuc
- 6.2.5 Minimax Optimization
- 6.2.6 Minimum Optimization: fminsearch and fminuc
- 6.2.7 Semi-Infinitely Constrained Minimization
- 6.2.8 Linear Programming
- 6.2.9 Quadratic programming
- 6.3 Equation Solving Algorithms
- 6.4 Fitting Curves by Least Squares
- Chapter 7: Differentiation in one and Several Variables. Applications to Optimization
- 7.1 Derivatives
- 7.2 Par tial Derivatives
- 7.3 Applications of Derivatives. Tangents, Asymptotes, Extreme Points and Turning Points
- 7.4 Differentiation of Functions of Several Variables
- 7.5 Maxima and Minima of Functions of Several Variables
- 7.6 Conditional Minima and Maxima. The Method of “Lagrange Multipliers”
- 7.7 Vector Differential Calculus
- 7.8 The Composite Function Theorem
- 7.9 The Implicit Function Theorem
- 7.10 The Inverse Function Theorem
- 7.11 The Change of Variables Theorem
- 7.12 Series Expansions in Several Variables
- 7.13 Vector Fields. Curl, Divergence and the Laplacian
- Spherical, Cylindrical and Rectangular Coordinates
- Chapter 8: Optimization of Functions of Complex Variables
- 8.1 Complex Numbers
- 8.2 General Functions of a Complex Variable
- 8.3 Specific Functions of a Complex Variable
- 8.4 Basic Functions with Complex Vector Arguments
- 8.5 Basic Functions with Complex Matrix Arguments
- 8.6 General Functions with Complex Matrix Arguments
- 8.7 Matrix Operations with Real and Complex Variables
- Chapter 9: Algebraic Expressions, Polynomials, Equations and Systems. Tools for Optimization