東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Optimization modeling using R

Anderson, Timothy R.

Linked to FindBook

Google Book

Amazon

博客來

Optimization modeling using R

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimization modeling using R/ Timothy R. Anderson.
Author:	Anderson, Timothy R.
Published:	Boca Raton, FL :Chapman & Hall/CRC Press, : 2023.,
Description:	1 online resource (xxiii, 274 p.) :ill.
Subject:	Mathematical optimization - Data processing. -
Online resource:	https://www.taylorfrancis.com/books/9781003051251
ISBN:	9781003051251

Optimization modeling using R
Anderson, Timothy R.

Optimization modeling using R[electronic resource] /Timothy R. Anderson. - 1st ed. - Boca Raton, FL :Chapman & Hall/CRC Press,2023. - 1 online resource (xxiii, 274 p.) :ill. - Chapman & Hall/CRC Series in operations research. - Series in operations research..

Includes bibliographical references and index.

This book covers using R for doing optimization, a key area of operations research, which has been applied to virtually every industry. The focus is on linear and mixed integer optimization. It uses an algebraic modeling approach for creating formulations that pairs naturally with an algebraic implementation in R. With the rapid rise of interest in data analytics, a data analytics platform is key. Working technology and business professionals need an awareness of the tools and language of data analysis. R reduces the barrier to entry for people to start using data analytics tools. Philosophically, the book emphasizes creating formulations before going intoimplementation. Algebraic representation allows for clear understanding and generalizationof large applications, and writing formulations is necessary to explain and convey the modeling decisions made. Appendix A introduces R. Mathematics is used at the level of subscripts and summations Refreshers are provided in Appendix B. This book: Provides and explains code so examples are relatively clear and self-contained. Emphasizes creating algebraic formulations before implementing. Focuses on application rather than algorithmic details. Embodies the philosophy of reproducible research. Uses open-source tools to ensure access to powerful optimization tools. Promotes open-source: all materials are available on the author's github repository. Demonstrates common debugging practices with a troubleshooting emphasis specific to optimization modeling using R. Provides code readers can adapt to their own applications.This book can be used for graduate and undergraduate courses for students without a background in optimization and with varying mathematical backgrounds.

ISBN: 9781003051251Subjects--Topical Terms:

723974
Mathematical optimization
--Data processing.

LC Class. No.: QA401 / .A53 2023

Dewey Class. No.: 519.6

Optimization modeling using R
LDR:03027cmm a2200385 a 4500 001 2416440
005 20251017072503.0
006 m o d
007 cr cnu---unuuu
008 260303s2023 flua ob 001 0 eng d
020 $a 9781003051251 $q (electronic bk.)
020 $a 1003051251 $q (electronic bk.)
020 $a 9781000606898 $q (electronic bk.)
020 $a 1000606899 $q (electronic bk.)
020 $a 9781000606843 $q (electronic bk.)
020 $a 1000606848 $q (electronic bk.)
020 $z 9781032290768 $q (pbk.)
020 $z 9780367507893 $q (hbk.)
020 $z 0367507897 $q (hbk.)
035 $a (OCoLC)1315538183
035 $a (OCoLC-P)1315538183
035 $a 9781003051251
040 $a OCoLC-P $b eng $c OCoLC-P
041 0 $a eng
050 4 $a QA401 $b .A53 2023
082 0 4 $a 519.6 $2 23
082 0 4 $a 658.4/035222 $2 23
100 1 $a Anderson, Timothy R. $3 3795134
245 1 0 $a Optimization modeling using R $h [electronic resource] / $c Timothy R. Anderson.
250 $a 1st ed.
260 $a Boca Raton, FL : $b Chapman & Hall/CRC Press, $c 2023.
300 $a 1 online resource (xxiii, 274 p.) : $b ill.
490 1 $a Chapman & Hall/CRC Series in operations research
504 $a Includes bibliographical references and index.
520 $a This book covers using R for doing optimization, a key area of operations research, which has been applied to virtually every industry. The focus is on linear and mixed integer optimization. It uses an algebraic modeling approach for creating formulations that pairs naturally with an algebraic implementation in R. With the rapid rise of interest in data analytics, a data analytics platform is key. Working technology and business professionals need an awareness of the tools and language of data analysis. R reduces the barrier to entry for people to start using data analytics tools. Philosophically, the book emphasizes creating formulations before going intoimplementation. Algebraic representation allows for clear understanding and generalizationof large applications, and writing formulations is necessary to explain and convey the modeling decisions made. Appendix A introduces R. Mathematics is used at the level of subscripts and summations Refreshers are provided in Appendix B. This book: Provides and explains code so examples are relatively clear and self-contained. Emphasizes creating algebraic formulations before implementing. Focuses on application rather than algorithmic details. Embodies the philosophy of reproducible research. Uses open-source tools to ensure access to powerful optimization tools. Promotes open-source: all materials are available on the author's github repository. Demonstrates common debugging practices with a troubleshooting emphasis specific to optimization modeling using R. Provides code readers can adapt to their own applications.This book can be used for graduate and undergraduate courses for students without a background in optimization and with varying mathematical backgrounds.
588 $a OCLC-licensed vendor bibliographic record.
650 0 $a Mathematical optimization $x Data processing. $3 723974
650 0 $a R (Computer program language) $x Mathematical models. $3 1535971
650 0 $a Mathematical models. $3 522882
650 0 $a Mathematical optimization. $3 517763
830 0 $a Series in operations research. $3 3795135
856 4 0 $u https://www.taylorfrancis.com/books/9781003051251