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Unconstrained Optimization and Quantum Calculus

Unconstrained Optimization and Quantum Calculus Law

Unconstrained Optimization and Quantum Calculus

0 - Default Title
Description
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.
Product details
Binding:
Paperback
Number of Pages:
156
Release Date:
2025-05-29
Publication Date:
2025-05-29
Publisher:
Springer
Languages:
Original: English
ISBN10:
9819724376
ISBN13:
9789819724376
GPSR Manufacturer Reference:
Weight:
248 g
Height:
155 cm
Width:
235 cm
Thickness:
9 cm
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