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Stochastic Optimization Methods Read More >>
This book is designed for students who have never been exposed to the topics in a linear algebra course. The text... Read More >>
Moreover, the authors present a surprising connection between the least gradient problem and the Monge–Kantorovich... Read More >>
The NLAGA's Biennial International Research Symposium (NLAGA-BIRS) is intended to gather African expertises in Nonlinear... Read More >>
This fundamental work is a sequel to monographs by the same author: Variational Analysis and Applications (2018)... Read More >>
This book focuses on the Frobenius theorem regarding a nonlinear simultaneous system. Because this book includes... Read More >>
This volume covers the latest methodologies for using multimodal data fusion and analytics across several applications.... Read More >>
Diese etablierte Formelsammlung enthält und erklärt mathematische Formeln innerhalb ökonomischer Zusammenhänge,... Read More >>
This book develops robust design and assessment of product and production from viewpoint of system theory, which... Read More >>
"""A thoughtful account of how optimization (also known as theorycrafting or the ""moneyballing effect"") has changed... Read More >>
This book constitutes the refereed proceedings of the 24th International Conference on Group Decision and Negotiation,... Read More >>
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This book is a rigorous but practical presentation of the Bayesian techniques of uncertainty quantification, with... Read More >>
This book presents a comprehensive analysis of stability, stabilization, and fault detection in networked control... Read More >>
This textbook introduces readers to a comprehensive framework for the application of deterministic optimization... Read More >>
The primary focus of the book is to explore the asymptotic behavior of problems formulated within cylindrical structures.... Read More >>
Game worlds differ from traditional fictional worlds. While literary and cinematic worlds are written to host character... Read More >>
Offers a comprehensive exploration of nature-inspired algorithms such as genetic algorithms, swarm intelligence,... Read More >>
Dieses Buch betont die grundlegenden Konzepte des CS-Algorithmus und seiner Varianten sowie deren Anwendung zur... Read More >>
This book presents current research in machine learning techniques, deep learning theories and practices, interpretability... Read More >>
This book provides an updated and in-depth introduction to the application of multiobjective optimization techniques... Read More >>
This book is interdisciplinary and unites several areas of applied probability, statistics, and computational mathematics... Read More >>
In Chapter 9, the examination continues of the turnpike phenomenon for the continuous-time optimal control problems... Read More >>