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Approximation, optimization, and computing theory and applications by

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Published by North-Holland, Distributors for the U.S. and Canada, Elsevier Science Pub. Co. in Amsterdam, New York, New York, N.Y., U.S.A .
Written in English


  • Approximation theory -- Data processing.,
  • Mathematical optimization -- Data processing.

Book details:

Edition Notes

Includes bibliographical references and index.

StatementInternational Association for Mathematics and Computers in Simulation ; edited by A.G. Law and C.L. Wang.
ContributionsLaw, Alan G. 1936-, Wang, C. L., International Association for Mathematics and Computers in Simulation.
LC ClassificationsQA221 .A64 1990
The Physical Object
Paginationxv, 442 p. :
Number of Pages442
ID Numbers
Open LibraryOL1855083M
ISBN 100444886931
LC Control Number90006893

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Computing Methods in Optimization Problems deals with hybrid computing methods and optimization techniques using computers. One paper discusses different numerical approaches to optimizing trajectories, including the gradient method, the second variation method, and a generalized Newton-Raphson method. Estimation of the Necessary Sample Size for Approximation of Stochastic Optimization Problems with Probabilistic Criteria. Mathematical Optimization Theory and Operations Research, () Data-driven decision making in power systems with probabilistic guarantees: Theory and applications of chance-constrained optimization. They play a key role in a variety of research areas, such as combinatorial optimization, approximation algorithms, computational complexity, graph theory, geometry, real algebraic geometry and quantum computing. This book is an introduction to selected aspects of semidefinite programming and its use in approximation algorithms. Journal of Computing and Information Science in Engineering Journal of Dynamic Systems, Measurement, and Control Journal of Electrochemical Energy Conversion and Storage.