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Linear Programming and Resource Allocation Modeling
Michael J. Panik’s "Linear Programming and Resource Allocation Modeling" offers a thorough exploration of the concepts, methods, and practical applications of linear programming and resource allocation models in diverse fields. The book introduces the core principles of optimization, detailing processes such as problem formulation, solution strategies, and result interpretation. Panik systematically explains key techniques, including the simplex algorithm, duality theory, sensitivity analysis, and transportation methods.
Focusing on real-world applications, the book demonstrates how linear programming models can be utilized to efficiently allocate limited resources in areas like economics, business, engineering, and management. With its clear examples, case studies, and exercises, readers are guided toward a deeper comprehension of these techniques. The book also highlights the use of software tools for solving intricate resource allocation challenges, ensuring readers are equipped with contemporary approaches to optimization.
This resource is an essential guide for students, researchers, and professionals seeking to apply optimization methods in decision-making and strategic planning
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