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Unconstrained Optimization and Quantum Calculus
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Unconstrained Optimization and Quantum Calculus

2024 ed.

Book Details

Format Hardback or Cased Book
ISBN-10 9819724341
ISBN-13 9789819724345
Edition 2024 ed.
Publisher Springer Verlag, Singapore
Imprint Springer Verlag, Singapore
Country of Manufacture GB
Country of Publication GB
Publication Date May 28th, 2024
Print length 138 Pages
Ksh 21,600.00
Werezi Extended Catalogue 0 in stock

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This book provides a better clue to apply quantum derivative instead of classical derivative in the modified optimization methods, compared with the competing books which employ a number of standard derivative optimization techniques to address large-scale, unconstrained optimization issues.

This book provides a better clue to apply quantum derivative instead of classical derivative in the modified optimization methods, compared with the competing books which employ a number of standard derivative optimization techniques to address large-scale, unconstrained optimization issues. Essential proofs and applications of the various techniques are given in simple manner without sacrificing accuracy. New concepts are illustrated with the help of examples. This book presents the theory and application of given optimization techniques in generalized and comprehensive manner. Methods such as steepest descent, conjugate gradient and BFGS are generalized and comparative analyses will show the efficiency of the techniques.


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