Numerical Optimization (Relié)

  • Springer

  • Paru le : 26/08/2000
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" Numerical optimization " presents a comprehensive and up to date description of the most effective methods in continuous optimization. It responds to... > Lire la suite
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" Numerical optimization " presents a comprehensive and up to date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems. Drawing on their experiences in teaching, research, and consulting, the authors have produced a textbook that will be of interest to students and practitioners alike. Each chapter begins with the basics concepts and builds up gradually to the best techniques currently available. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience. It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business. It also serves as a handbook for researchers and practitioners in the field. Above all, the authors have strived to produce a text that is pleasant to read, informative, and rigorous - one that reveals both the beautiful nature of the discipline and its practical side.
    • Fundamentals of unconstrained optimization
    • Line search methods
    • Trust-region methods
    • Conjugate gradient methods
    • Practical Newton methods
    • Calculating derivates
    • Quasi-Newton methods
    • Large-scale Quasi-Newton and partially separable optimization
    • Nonlinear least-squares problems
    • Nonlinear equations
    • Theory of constrained optimization
    • Linear programming : the simplex method
    • Linear programming : interior-point methods
    • Fundamentals of algorithms for nonlinear constrained optimization
    • Quadratic programming
    • Penalty, Barrier, and augmented lagrangian methods
    • Sequential quadratic programming.
  • Date de parution : 26/08/2000
  • Editeur : Springer
  • Collection : Series in Operations Research
  • ISBN : 0-387-98793-2
  • EAN : 9780387987934
  • Présentation : Relié
  • Nb. de pages : 640 pages
  • Poids : 1.28 Kg
  • Dimensions : 18,0 cm × 24,0 cm × 3,3 cm

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Jorge Nocedal et Stephen-J Wright - Numerical Optimization.
Numerical Optimization
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