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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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The study of nonlinear optimization is both fundamental and a key course for applied mathematics, operations research, management science, industrial engineering, and economics at most colleges and universities.
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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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Presents the basic notions of linear programming and illustrates how they are used to solve important common problems. This book provides review material... 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 provides different approaches used to analyze, draw attention, and provide an understanding of the advancements in the optimization field across the globe.
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Mathematical models are used to convert real-life problems using mathematical concepts and language. These... Læs mere
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This book provides advance research in the field of applications of Differential Equations in engineering and sciences and offers a theoretical sound background along with case studies.
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This book provides a clear understanding regarding the fundamentals of matrix and determinant from introduction to its real-life applications.
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This book introduces linear transformation and its key results which have applications in engineering, physics, and various branches of mathematics. Linear... Læs mere