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Télécharger le livre : Convex Optimization—Theory, Algorithms and Applications
Pierre Maréchal , Shashi Kant Mishra , Balendu Bhooshan Upadhyay
Convex Optimization—Theory, Algorithms and Applications
This volume includes chapters on topics presented at the conference on Recent Trends in Convex Optimization: Theory, Algorithms and Applications (RTCOTAA-2020), held at the Department of Mathematics, Indian Institute of Technology Patna, Bihar, India, from 29–31 October...
Editeur : Springer
Parution : 2025-04-25
Collection : Springer Proceedings in Mathematics & Statistics
Format(s) : PDF, ePub
252,14 €
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Télécharger le livre : Unconstrained Optimization and Quantum Calculus
Kin Keung Lai , Shashi Kant Mishra , Predrag Rajkovic , Bhagwat Ram
Unconstrained Optimization and Quantum Calculus
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,...
Editeur : Springer
Parution : 2024-05-27

Format(s) : PDF, ePub
137,14 €
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