Description

Book Synopsis
This paperback edition of the popular 1999 title presents a series of approaches to the challenges faced by analysts who must find the best way to accomplish particular objectives, usually with the added complication of constraints on the available choices. Award-winning educator Ronald E.

Trade Review
The author's extensive teaching experience is reflected in hisupbeat, relaxed writing style and preesntation. (Short BookReviews, V21, No1, April 2001)

"...accessible to people who have neither formal mathematicaltraining nor any background in optimization...this text could beuseful for an introductory class on optimization..." (SIAM Review,Vol. 43, No. 3)

Table of Contents
FOUNDATIONS: LINEAR METHODS.

Matrix Algebra.

Systems of Linear Equations.

FOUNDATIONS: NONLINEAR METHODS.

Unconstrained Maximization and Minimization.

Constrained Maximization and Minimization.

APPLICATIONS: ITERATIVE METHODS FOR NONLINEAR PROBLEMS.

Solving Nonlinear Equations.

Solving Unconstrained Maximization and Minimization Problems.

APPLICATIONS: CONSTRAINED OPTIMIZATION IN LINEAR MODELS.

Linear Programming: Fundamentals.

Linear Programming: Extensions.

Linear Programming: Interior Point Methods.

APPLICATIONS: CONSTRAINED OPTIMIZATION IN NONLINEAR MODELS.

Nonlinear Programming: Fundamentals.

Nonlinear Programming: Duality and Computational Methods.

Problems.

References.

Optimization

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    A Paperback / softback by H. Ronald Miller

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Optimization by H. Ronald Miller

      Publisher: John Wiley & Sons Inc
      Publication Date: 07/03/2000
      ISBN13: 9780471351696, 978-0471351696
      ISBN10: 0471351695
      Also in:
      Mathematics

      Description

      Book Synopsis
      This paperback edition of the popular 1999 title presents a series of approaches to the challenges faced by analysts who must find the best way to accomplish particular objectives, usually with the added complication of constraints on the available choices. Award-winning educator Ronald E.

      Trade Review
      The author's extensive teaching experience is reflected in hisupbeat, relaxed writing style and preesntation. (Short BookReviews, V21, No1, April 2001)

      "...accessible to people who have neither formal mathematicaltraining nor any background in optimization...this text could beuseful for an introductory class on optimization..." (SIAM Review,Vol. 43, No. 3)

      Table of Contents
      FOUNDATIONS: LINEAR METHODS.

      Matrix Algebra.

      Systems of Linear Equations.

      FOUNDATIONS: NONLINEAR METHODS.

      Unconstrained Maximization and Minimization.

      Constrained Maximization and Minimization.

      APPLICATIONS: ITERATIVE METHODS FOR NONLINEAR PROBLEMS.

      Solving Nonlinear Equations.

      Solving Unconstrained Maximization and Minimization Problems.

      APPLICATIONS: CONSTRAINED OPTIMIZATION IN LINEAR MODELS.

      Linear Programming: Fundamentals.

      Linear Programming: Extensions.

      Linear Programming: Interior Point Methods.

      APPLICATIONS: CONSTRAINED OPTIMIZATION IN NONLINEAR MODELS.

      Nonlinear Programming: Fundamentals.

      Nonlinear Programming: Duality and Computational Methods.

      Problems.

      References.

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