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This book presents recent theoretical findings on Sliding Mode Control (SMC) issues for various classes of complex nonlinear systems based on... Læs mere
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This text covers the basic theory and computation for mathematical modeling in linear programming.
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Presenting an overview of the field, this volume discusses computational aspects of queueing networks and their applications. The text examines both analytical... Læs mere
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The papers published in this volume focus on some of the most recent devel- ments in complementarity theory, variational principles, stability theory of fu- tional equations, nonsmooth optimization, and various other important topics of nonlinear analysis and optimization.
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With its focus on solving practical problems, the book features free C programs to implement the major algorithms covered, including the two-phase simplex method, the primal-dual simplex method, the path-following interior-point method, and and the homogeneous self-dual method.
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This book provides a handy, unified introduction to the theory of compact extended formulations of exponential-size integer linear programming (ILP) models.
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This book provides a comprehensive study of numerical techniques for solving integral and integro-differential equations using... Læs mere
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Decision Making Optimization Models for Business Partnerships extends non-parametric Data Envelopment Analysis (DEA) and parametric... Læs mere
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With the recent advancements in machine learning (ML) and deep learning (DL), ML/DL techniques are being widely used in biomedical engineering to develop... Læs mere
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This book explores the dynamic interplay between fractals and graph theory, two powerful mathematical tools with vast applications. It presents a strategic combination and the synergistic use of these disciplines to address real-world problems and challenges.