Global Optimization - Scientific and Engineering Case Studies

Global Optimization - Scientific and Engineering Case Studies

von: János D. Pintér

Springer-Verlag, 2006

ISBN: 9780387309279 , 546 Seiten

Format: PDF

Kopierschutz: Wasserzeichen

Windows PC,Mac OSX Apple iPad, Android Tablet PC's

Preis: 178,49 EUR

  • An Introduction to the Heisenberg Group and the Sub-Riemannian Isoperimetric Problem
    Stochastic Global Optimization
    Optimal Stopping Rules
    Design and Analysis of Simulation Experiments
    The Analysis of Cross-Classified Categorical Data
    Optimization in Medicine
  • Algebraic Theory of Locally Nilpotent Derivations
    Stochastic Control in Insurance
    Geometric Group Theory - Geneva and Barcelona Conferences
    Multiscale Modeling - A Bayesian Perspective
    Logica Universalis - Towards a General Theory of Logic
    Expounding the Mathematical Seed. Vol. 2: The Supplements - A Translation of Bh?skara I on the Mathematical Chapter of the ?ryabhat?ya

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Global Optimization - Scientific and Engineering Case Studies


Optimization models based on a nonlinear systems description often possess multiple local optima. The objective of Global Optimization (GO) is to find the best possible solution of multiextremal problems. This volume illustrates the applicability of GO modeling techniques and solution strategies to real-world problems. Coverage extends to a broad range of applications, from agroecosystem management to robot design. Proposed solutions encompass a range of practical and viable methods.