This volume [...] discusses a comprehensive exploration of the realm of optimization, encompassing both the theoretical underpinnings and the multifaceted real-life implementations of the optimization theory.
[...]
It meticulously features essential optimization concepts, such as convex analysis, generalized convexity, monotonicity, etc., elucidating their theoretical advancements and significance in the optimization sphere. Multiobjective optimization is a pivotal topic which addresses the inherent difficulties faced in conflicting objectives. The book delves into various theoretical concepts and covers some practical algorithmic approaches to solve multiobjective optimization, such as the line search and the enhanced non-monotone quasi-Newton algorithms. It also deliberates on several other significant topics in optimization, such as the perturbation approach for vector optimization, and solution methods for set-valued optimization [...]. (Estratto dai sito dell'editore)
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*Convex optimization—theory, algorithms and applications : RTCOTAA-2020, Patna, India, October 29–31 / Balendu Bhooshan Upadhyay, Shashi Kant Mishra, Pierre Maréchal editors. - Singapore : Springer, 2025. - 1 testo elettronico (XIII, 703 p. : ill.)
