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Computational optimization is an active and important area of study, practice, and research today. It covers a wide range of applications in engineering, science, and industry. It provides solutions to a variety of real-life problems in the fields of health, business, government, military, politics, security, education, and many more. This book compiles original and innovative findings on all aspects of computational optimization. It presents various examples of optimization including cost, energy, profits, outputs, performance, and efficiency. It also discusses different types of optimization problems like nonlinearity, multimodality, discontinuity, and uncertainty. Over thirteen chapters, the book provides researchers, practitioners, academicians, military professionals, government officials, and other industry professionals with an in-depth discussion of the latest advances in the field.

Constrained optimization.

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Stability --- Constrained optimization

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This thesis by Tommy Färnqvist explores the computational complexity and approximability of problems within the constraint satisfaction framework (CSP). It delves into the structural restrictions of CSP-related problems, utilizing graph and hypergraph acyclicity measures to identify classes of problems that are efficiently solvable. The work also investigates various optimization problems associated with CSP, such as minimizing or maximizing assignment costs and counting possible variable assignments. The second part examines the approximability of the MAXCSP problem in graphs, introducing a novel method for determining approximation ratios. The research contributes to theoretical computer science by identifying relational structures and parameters that allow for efficient algorithms. It is intended for an academic audience interested in computational complexity and optimization.

Computational complexity. --- Constrained optimization.

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Constrained optimization --- Mathematical optimization --- Lagrangian functions

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Peter B. Morgan's Explanation of Constrained Optimization for Economists is an accessible, user-friendly guide that provides explanations, both written and visual, of the manner in which many constrained optimization problems can be solved.

Constrained optimization. --- Economics, Mathematical. --- Economics --- Mathematical economics --- Econometrics --- Mathematics --- Optimization, Constrained --- Mathematical optimization --- Methodology --- Constrained optimization --- Economics, Mathematical --- E-books