Continuous Optimization Continuous Optimization

Continuous Optimization

Current Trends and Modern Applications

    • 149,99 $
    • 149,99 $

Description de l’éditeur

The search for the best possible performance is inherent in human nature. Individuals, enterprises and governments all seek optimal—that is, the best—possible solutions of problems that they meet. Evidently, continuous optimization plays an increasingly significant role in everyday management and technical decisions in science, engineering and commerce.

The collection of 16 refereed papers in this book covers a diverse number of topics and provides a good picture of recent research in continuous optimization. The first part of the book presents substantive survey articles in a number of important topic areas of continuous optimization. Most of the papers in the second part present results on the theoretical aspects as well as numerical methods of continuous optimization. The papers in the third part are mainly concerned with applications of continuous optimization.

Hence, the book will be an additional valuable source of information to faculty, students, and researchers who use continuous optimization to model and solve problems.


Audience

This book is intended for researchers in mathematical programming, optimization and operations research; engineers in various fields; and graduate students in applied mathematics, engineering and operations research.

GENRE
Science et nature
SORTIE
2006
9 mars
LANGUE
EN
Anglais
LONGUEUR
468
Pages
ÉDITEUR
Springer US
VENDEUR
Springer Nature B.V.
TAILLE
6,6
 Mo
Optimization and Control with Applications Optimization and Control with Applications
2006
Monte Carlo and Quasi-Monte Carlo Methods 2006 Monte Carlo and Quasi-Monte Carlo Methods 2006
2007
Numerical Mathematics and Advanced Applications Numerical Mathematics and Advanced Applications
2008
High-Dimensional Optimization and Probability High-Dimensional Optimization and Probability
2022
Elements of Numerical Analysis with Mathematica� Elements of Numerical Analysis with Mathematica�
2017
Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett
2007