Linear and Integer Programming Made Easy
Buch in deiner Nähe kaufen
Beschreibung
Linear and integer programming are fundamental toolkits for data and information science and technology, particularly in the context of today’s megatrends toward statistical optimization, machine learning, and big data analytics. Drawn from over 30 years of classroom teaching and applied research experience, this textbook provides a crisp and practical introduction to the basics of linear and integer programming. The authors’ approach is accessible to students from all fields of engineering, including operations research, statistics, machine learning, control system design, scheduling, formal verification, and computer vision. Readers will learn to cast hard combinatorial problems as mathematical programming optimizations, understand how to achieve formulations where the objective and constraints are linear, choose appropriate solution methods, and interpret results appropriately.
•Provides a concise introduction to linear and integer programming, appropriate for undergraduates, graduates, a short course or boot camp, or self-learning;
•Targets not only computer scientists and engineers, but those in management science and operations research as well;
•Emphasizes basics and intuitive concepts, and gives corresponding numerical examples;
•Includes exercises to test and reinforce the concepts introduced, along with a website containing additional material matched to the book’s contents.
This textbook provides concise coverage of the basics of linear and integer programming which, with megatrends toward optimization, machine learning, big data, etc., are becoming fundamental toolkits for data and information science and technology. The authors’ approach is accessible to students from almost all fields of engineering, including operations research, statistics, machine learning, control system design, scheduling, formal verification and computer vision. The presentations enables the basis for numerous approaches to solving hard combinatorial optimization problems through randomization and approximation.
Readers will learn to cast various problems that may arise in their research as optimization problems, understand the cases where the optimization problem will be linear, choose appropriate solution methods and interpret results appropriately.
Provides a concise introduction to linear and integer programming, appropriate for undergraduates, graduates, a short course or book camp, or self-learning; Targets not only computer scientists and engineers, but those in management science and operations research as well; Emphasizes basics and intuitive concepts, and gives corresponding numerical examples; Includes exercises to test and reinforce the concepts introduced, along with a website containing additional material matched to the book's contents. Includes supplementary material: sn.pub/extras
Autor*in
T. C. Hu
Themen in »Linear and Integer Programming Made Easy«
Engineering Optimization Integer Programming Textbook Linear Programming Textbook Linear Systems and Optimization Mathematical Programming Simplex Method The Knapsack Problem