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Venkataraman, P

Applied Optimization with MATLAB Programming

€ 173.95

  • Classic optimization techniques are applied through the most popular math engine: MATLAB
  • The book will be supported by an integral web site.
  • Covers all levels of optimization including linear and non linear programming techniques.


    Taal / Language : English

    Inhoudsopgave:
    Preface to the Second Edition.

    Preface.

    Chapter 1: Introduction.

    1.1 Optimization Fundamentals.

    1.2 Introduction to MATLAB.

    Problems.

    Chapter 2: Graphical Optimization.

    2.1 Problem Definition.

    2.2 Graphical Solution.

    2.3 Additional Examples.

    2.4 Additional MATLAB Graphics.

    References.

    Problems.

    Chapter 3: Linear Programming.

    3.1 Problem Definition.

    3.2 Graphical Solution.

    3.3 Numerical Solution The Simplex Method.

    3.4 Additional Examples.

    3.5.Additional Topics in Linear Programming.

    References.

    Problems.

    Chapter 4: Nonlinear Programming.

    4.1 Problem Definition.

    4.2 Mathematical Concepts.

    4.3 Analytical Conditions.

    4.4 Examples.

    4.5 Additional Topics.

    References.

    Problems.

    Chapter 5: Numerical Techniques The One Dimensional Problem.

    5.1 Problem Definition.

    5.2 Numerical Techniques.

    5.3 Importance of the One Dimensional Problem.

    5.4 Additional Examples.

    References.

    Problems.

    Chapter 6: Numerical Techniques for Unconstrained Optimization.

    6.1 Problem Definition.

    6.2 Numerical Techniques: Non Gradient Methods.

    6.3 Numerical Technique: Gradient Based Methods.

    6.4 Numerical Technique: Second Order.

    6.5 Additional Examples.

    6.6 Summary.

    References.

    Problems.

    Chapter 7: Numerical Techniques for Constrained Optimization.

    7.1 Problem Definition.

    7.2 Indirect Methods for Constrained Optimization.

    7.3 Direct Methods for Constrained Optimization.

    7.4 Additional Examples.

    References.

    Problems.

    Chapter 8: Discrete Optimization.

    8.1 Concepts in Discrete Programming.

    8.2 Discrete Optimization Techniques.

    8.3 Additional Examples.

    References.

    Problems.

    Chapter 9: Global Optimization.

    9.1 Problem Definition.

    9.2 Numerical Techniques and Additional Examples.

    References.

    Problems.

    Chapter 10: Optimization Toolbox from MATLAB.

    10.1 The Optimization Toolbox.

    10.2 Examples.

    References.

    Chapter 11: Hybrid Mathematics: An Application of.

    11.1 Central Idea.

    11.2 Data Handling Examples.

    11.3. Solutions to Differential Systems.

    11.4 Summary.

    References.

    Index.
    Extra informatie: 
    Hardback
    544 pagina's
    Januari 2009
    862 gram
    248 x 165 x 32 mm
    John Wiley & Sons us

    Levertijd: 5 tot 11 werkdagen