國立虎尾科技大學 |

Optimization modeling using R

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Optimization modeling using R/ Timothy R. Anderson.
作者:	Anderson, Timothy R.
出版者:	Boca Raton, FL :Chapman & Hall/CRC Press, : 2023.,
面頁冊數:	1 online resource (xxiii, 274 p.) :ill. :
標題:	Mathematical optimization - Data processing. -
電子資源:	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:

528020
Mathematical optimization
--Data processing.

LC Class. No.: QA401 / .A53 2023

Dewey Class. No.: 519.6

Optimization modeling using R
LDR:03027cam a2200385 a 4500 001 1168192
005 20251017072503.0
006 m o d
007 cr cnu---unuuu
008 251229s2023 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 1497527
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 528020
650 0 $a R (Computer program language) $x Mathematical models. $3 1414502
650 0 $a Mathematical models. $3 527886
650 0 $a Mathematical optimization. $3 527675
830 0 $a Series in operations research. $3 1497528
856 4 0 $u https://www.taylorfrancis.com/books/9781003051251