Tab Article
The book, Operations Research, covers several key aspects such as theory, computations, and applications based on operations research. The utilization of computation and application-driven information are some of the main changes made to this book, in comparison with previous editions.
The topics covered in this book include Advanced Linear Programming, Probabilistic Dynamic Programming, Case Analysis, Simulation Modeling, Markov Chains, Decision Analysis And Games, Review Of Basic Probability, Network Models, Integer Linear Programming, and Transportation Model And Its Variants. Some other concepts covered The Simplex Method and Sensitivity Analysis, Modeling with Linear Programming, Classical Optimization Theory, Deterministic Dynamic Programming, Deterministic Inventory Models, Goal Programming, and Forecasting Models.
Through the course of Operations Research, the author has elaborated greatly on the concept of AMPL, which is a dynamic language incorporated in modeling. This concept has been explained by incorporating several examples, on linear, nonlinear, network, and integer programming. In total, there are around 50 questions, which can be classified as mini cases that deal with real life situations. At the starting of each chapter, the readers are provided with a study guide that enables them to grasp the concepts, and the software utilized. The readers are also guided through utilizing Excel Solver in the context of linear, non-linear, network, and integer programming. The book also contains thoroughly analyzed practical events, and every chapter ends with summary applications, which may have been a part of published case studies. The author also explains a number of difficult mathematical concepts by means of numerical examples, other than the traditional proofs.
