Linear and Integer Programming Made Easy
Hu, Te Chiang, Kahng, Andrew B
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.
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.
หมวดหมู่:
ปี:
2016
ฉบับพิมพ์ครั้งที่:
1st ed.
สำนักพิมพ์:
Springer
ภาษา:
english
จำนวนหน้า:
143
ISBN 10:
3319240013
ISBN 13:
9783319240015
ไฟล์:
PDF, 1.37 MB
IPFS:
,
english, 2016
หนังสือเล่มนี้ไม่สามารถดาวน์โหลดได้เนื่องจากมีคำร้องเรียนจากผู้ถือลิขสิทธิ์