Optimization techniques in operations research /
B. Gupta, C.,
Optimization techniques in operations research / C. B. Gupta. - 2nd edition. - 386 pages ; 24 cm
Meets the requirements of engineering/science and management students at graduate and postgraduate level. The main topics discussed are linear programming, non-linear programming, transport and assignment problems, game theory, integer programming, goal programming, network analysis (CPM and PERT), sequencing problems, and dynamic programming. This book meets the requirements of engineering/science and management students at graduate and postgraduate level.The main topics discussed are:Linear programming, including duality and sensitivity analysis.Non-linear programming, including quadratic and separable programming.Transport and assignment problems.Game theory.Integer programming, including the travelling salesman problem.Goal programming, including multi-objective programming.Network analysis (CPM and PERT).Sequencing problems.Dynamic programming.New to this edition:Two new chapters - "Introduction to Optimization" and "Classical Optimization Techniques", more solved and unsolved examples, and a new article on processing 2-jobs through k-machines.Special features:A very comprehensive and accessible approach to the presentation of the material.A variety of solved examples to illustrate the theoretical results.A large number of unsolved exercises for practice at the end of each section.Solutions to all unsolved examples are given at the end of each exercise.
9789381141670 32.95
Mathematics
Optimization
Engineering: general
Optimization techniques in operations research / C. B. Gupta. - 2nd edition. - 386 pages ; 24 cm
Meets the requirements of engineering/science and management students at graduate and postgraduate level. The main topics discussed are linear programming, non-linear programming, transport and assignment problems, game theory, integer programming, goal programming, network analysis (CPM and PERT), sequencing problems, and dynamic programming. This book meets the requirements of engineering/science and management students at graduate and postgraduate level.The main topics discussed are:Linear programming, including duality and sensitivity analysis.Non-linear programming, including quadratic and separable programming.Transport and assignment problems.Game theory.Integer programming, including the travelling salesman problem.Goal programming, including multi-objective programming.Network analysis (CPM and PERT).Sequencing problems.Dynamic programming.New to this edition:Two new chapters - "Introduction to Optimization" and "Classical Optimization Techniques", more solved and unsolved examples, and a new article on processing 2-jobs through k-machines.Special features:A very comprehensive and accessible approach to the presentation of the material.A variety of solved examples to illustrate the theoretical results.A large number of unsolved exercises for practice at the end of each section.Solutions to all unsolved examples are given at the end of each exercise.
9789381141670 32.95
Mathematics
Optimization
Engineering: general