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Derivative-Free Optimization [#943453]

Derivative-Free Optimization
Free Download Derivative-Free Optimization: Theoretical Foundations, Algorithms, and Applications
English | 2025 | ISBN: 9819659280 | 194 Pages | PDF EPUB (True) | 32 MB
This book offers a pioneering exploration of classification-based derivative-free optimization (DFO), providing researchers and professionals in artificial intelligence, machine learning, AutoML, and optimization with a robust framework for addressing complex, large-scale problems where gradients are unavailable. By bridging theoretical foundations with practical implementations, it fills critical gaps in the field, making it an indispensable resource for both academic and industrial audiences.



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