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Unconstrained Optimization and Quantum Calculus - Bhagwat Ram,Predrag Rajkovi¿,Kin Keung Lai,Shashi Kant Mishra

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2024-05-28
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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. Essential proofs and applications of the various techniques are given in simple manner without sacrificing accuracy. ... Visas aprašymas

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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. 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.

Daugiau informacijos

Autorius Bhagwat Ram, Predrag Rajkovi¿, Kin Keung Lai, Shashi Kant Mishra
Leidėjas Springer Nature Singapore
Series Uncertainty and Operations Research
Išleidimo metai 2024
Viršelio tipas Kieti viršeliai
EAN 9789819724345
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177,86 € 237,14 €