Cargando…

Linear and Integer Programming Made Easy

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 resear...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Hu, T. C. (Autor), Kahng, Andrew B. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-319-24001-5
003 DE-He213
005 20220118095224.0
007 cr nn 008mamaa
008 160503s2016 sz | s |||| 0|eng d
020 |a 9783319240015  |9 978-3-319-24001-5 
024 7 |a 10.1007/978-3-319-24001-5  |2 doi 
050 4 |a TK7867-7867.5 
072 7 |a TJFC  |2 bicssc 
072 7 |a TEC008010  |2 bisacsh 
072 7 |a TJFC  |2 thema 
082 0 4 |a 621.3815  |2 23 
100 1 |a Hu, T. C.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Linear and Integer Programming Made Easy  |h [electronic resource] /  |c by T. C. Hu, Andrew B. Kahng. 
250 |a 1st ed. 2016. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a X, 143 p. 24 illus., 1 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Preliminaries -- Introduction -- Dimension of the Solution Space -- Introduction to the Simplex Method -- Duality and Complementary Slackness -- Revised Simplex Method -- Column Generating Technique -- The Knapsack Problem -- Asymptotic Algorithms -- The World Map of Integer Programs -- Linear and Integer Programming in Practice. 
520 |a 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. 
650 0 |a Electronic circuits. 
650 0 |a Computer science-Mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a Engineering-Data processing. 
650 0 |a Mathematics. 
650 1 4 |a Electronic Circuits and Systems. 
650 2 4 |a Mathematical Applications in Computer Science. 
650 2 4 |a Mathematical and Computational Engineering Applications. 
650 2 4 |a Applications of Mathematics. 
700 1 |a Kahng, Andrew B.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783319239996 
776 0 8 |i Printed edition:  |z 9783319240008 
776 0 8 |i Printed edition:  |z 9783319795683 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-319-24001-5  |z Texto Completo 
912 |a ZDB-2-ENG 
912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712)