Convex Optimization – alle Bücher

Ihre Suche nach "Convex Optimization" (Bücher) ergab 8 Treffer.

Fatma K¿l¿nç-Karzan, Arkadi Nemirovski
Essential Mathematics for Convex Optimization

With an emphasis on timeless essential mathematical background for optimization, this textbook provides a comprehensive and accessible introduction to convex optimization for students in applied mathemati…

lieferbar innerhalb 2-3 Wochen

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Geometry and Non-Convex Optimization

This book offers a comprehensive exploration of the dynamic intersection between geometry and optimization. It delves into the intricate study of Hermite-Hadamard inequalities, Hilbert type integral inequ…

lieferbar innerhalb 2-3 Wochen

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Teemu Pennanen, Ari-Pekka Perkkiö
Convex Stochastic Optimization

This book studies a general class of convex stochastic optimization (CSO) problems that unifies many common problem formulations from operations research, financial mathematics and stochastic optimal cont…

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Paolo D'Alessandro
On Range Space Techniques, Convex Cones, Polyhedra and Optimization in Infinite Dimensions

.- Introduction..- Basic Facts of Set Theory..- Linear Spaces..- Rudiments of General Topology..- Filters: the Fifth Equivalence..- Hahn Banach andSeparation Theorems..- Locally Convex and Barrelled Space…

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Oscar Danilo Montoya Giraldo, Walter Julián Gil-González, Alejandro Garces
Optimal Power Flow Methods for DC Networks

This book thoroughly examines the latest research on optimal power flow (OPF) studies in direct current (DC) systems, focusing on implementing various OPF algorithms using Julia software. It is tailored f…

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Tor Lattimore
Bandit Convex Optimisation

This comprehensive reference brings readers to the frontier of research on bandit convex optimization or zeroth-order convex optimization. The focus is on theoretical aspects, with short, self-contained c…

lieferbar ab 19.3.2026.

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Elad Hazan, Karan Singh
Introduction to Online Control

This tutorial guide introduces online nonstochastic control, an emerging paradigm in control of dynamical systems and differentiable reinforcement learning that applies techniques from online convex optim…

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Rosario Toscano
Solving Optimization Problems with the Heuristic Kalman Algorithm

Springer Optimization and Its Applications - Band 212

This text focuses on simple and easy-to-use design strategies for solving complex engineering problems that arise in several fields of engineering design, namely non-convex optimization problems. The main…

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