소장자료
LDR | 09140cam a2200985 a 4500 | ||
001 | 0100582354▲ | ||
003 | OCoLC▲ | ||
005 | 20221208133238▲ | ||
007 | ta ▲ | ||
008 | 210403s2021 sz b 001 0 eng c▲ | ||
020 | ▼a9783030689278 (hbk.)▲ | ||
020 | ▼a3030689271 (hbk.)▲ | ||
020 | ▼a9783030689285 (ebk.)▲ | ||
020 | ▼a303068928X (ebk.)▲ | ||
040 | ▼aEBLCP▼beng▼epn▼cEBLCP▼dGW5XE▼dFIE▼dYDX▼dOCLCO▼dEBLCP▼dOCLCF▼dVT2▼dLIP▼dUKAHL▼dOCLCQ▼dOCLCO▼dCOM▼dOCLCO▼dSFB▼d221016▲ | ||
082 | 0 | 4 | ▼a003/.35133▼223▲ |
090 | ▼a003.35133▼bP997h3▲ | ||
245 | 1 | 0 | ▼aPyomo :▼boptimization modeling in Python /▼cMichael L. Bynum, Gabriel A. Hackebeil, William E. Hart, Carl D. Laird, Bethany L. Nicholson, John D. Siirola, Jean-Paul Watson, David L. Woodruff▲ |
246 | 1 | 4 | ▼aPyomo -- optimization modeling in Python▲ |
250 | ▼a3rd ed.▲ | ||
260 | ▼aCham :▼bSpringer,▼c2021.▲ | ||
300 | ▼axvii, 225 p. ;▼c24 cm▲ | ||
490 | 0 | ▼aSpringer Optimization and Its Applications ;▼vv. 67▲ | |
504 | ▼aIncludes bibliographical references and index.▲ | ||
520 | ▼aThis book provides a complete and comprehensive guide to Pyomo (Python Optimization Modeling Objects) for beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners. Using many examples to illustrate the different techniques useful for formulating models, this text beautifully elucidates the breadth of modeling capabilities that are supported by Pyomo and its handling of complex real-world applications. In the third edition, much of the material has been reorganized, new examples have been added, and a new chapter has been added describing how modelers can improve the performance of their models. The authors have also modified their recommended method for importing Pyomo. A big change in this edition is the emphasis of concrete models, which provide fewer restrictions on the specification and use of Pyomo models. Pyomo is an open source software package for formulating and solving large-scale optimization problems. The software extends the modeling approach supported by modern AML (Algebraic Modeling Language) tools. Pyomo is a flexible, extensible, and portable AML that is embedded in Python, a full-featured scripting language. Python is a powerful and dynamic programming language that has a very clear, readable syntax and intuitive object orientation. Pyomo includes Python classes for defining sparse sets, parameters, and variables, which can be used to formulate algebraic expressions that define objectives and constraints. Moreover, Pyomo can be used from a command-line interface and within Python's interactive command environment, which makes it easy to create Pyomo models, apply a variety of optimizers, and examine solutions. Review of the Second edition: This book provides a detailed guide to Pyomo for beginners and advanced users from undergraduate students to academic researchers to practitioners. the book is a good software guide which I strongly recommend to anybody interested in looking for an alternative to commercial modeling languages in general or in learning or intensifying their Pyomo skills in particular. Christina Schenk, SIAM Review, Vol. 61 (1), March 2019.▲ | ||
650 | 0 | ▼aComputer simulation.▲ | |
650 | 0 | ▼aMathematical optimization▼xComputer simulation.▲ | |
650 | 0 | ▼aPython (Computer program language)▲ | |
700 | 1 | ▼aBynum, Michael L.▲ | |
700 | 1 | ▼aHackebeil, Gabriel A.▲ | |
700 | 1 | ▼aHart, William E.▲ | |
700 | 1 | ▼aLaird, Carl D.▲ | |
700 | 1 | ▼aNicholson, Bethany L.▲ | |
700 | 1 | ▼aSiirola, John D.▼q(John Daniel)▲ | |
700 | 1 | ▼aWatson, Jean-Paul.▲ | |
700 | 1 | ▼aWoodruff, David L.▲ | |
995 | ▼a이전판에 근거하여 도서기호 채기함.▲ |
Pyomo : optimization modeling in Python
자료유형
국외단행본
서명/책임사항
Pyomo : optimization modeling in Python / Michael L. Bynum, Gabriel A. Hackebeil, William E. Hart, Carl D. Laird, Bethany L. Nicholson, John D. Siirola, Jean-Paul Watson, David L. Woodruff
표지서명
Pyomo -- optimization modeling in Python
개인저자
판사항
3rd ed.
발행사항
Cham : Springer , 2021.
형태사항
xvii, 225 p. ; 24 cm
총서사항
서지주기
Includes bibliographical references and index.
요약주기
This book provides a complete and comprehensive guide to Pyomo (Python Optimization Modeling Objects) for beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners. Using many examples to illustrate the different techniques useful for formulating models, this text beautifully elucidates the breadth of modeling capabilities that are supported by Pyomo and its handling of complex real-world applications. In the third edition, much of the material has been reorganized, new examples have been added, and a new chapter has been added describing how modelers can improve the performance of their models. The authors have also modified their recommended method for importing Pyomo. A big change in this edition is the emphasis of concrete models, which provide fewer restrictions on the specification and use of Pyomo models. Pyomo is an open source software package for formulating and solving large-scale optimization problems. The software extends the modeling approach supported by modern AML (Algebraic Modeling Language) tools. Pyomo is a flexible, extensible, and portable AML that is embedded in Python, a full-featured scripting language. Python is a powerful and dynamic programming language that has a very clear, readable syntax and intuitive object orientation. Pyomo includes Python classes for defining sparse sets, parameters, and variables, which can be used to formulate algebraic expressions that define objectives and constraints. Moreover, Pyomo can be used from a command-line interface and within Python's interactive command environment, which makes it easy to create Pyomo models, apply a variety of optimizers, and examine solutions. Review of the Second edition: This book provides a detailed guide to Pyomo for beginners and advanced users from undergraduate students to academic researchers to practitioners. the book is a good software guide which I strongly recommend to anybody interested in looking for an alternative to commercial modeling languages in general or in learning or intensifying their Pyomo skills in particular. Christina Schenk, SIAM Review, Vol. 61 (1), March 2019.
주제
ISBN
9783030689278 (hbk.) 3030689271 (hbk.) 9783030689285 (ebk.) 303068928X (ebk.)
청구기호
003.35133 P997h3
소장정보
예도서예약
서서가에없는책 신고
보보존서고신청
캠캠퍼스대출
우우선정리신청
배자료배달신청
문문자발송
출청구기호출력
학소장학술지 원문서비스
등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 서비스 |
---|
북토크
자유롭게 책을 읽고
느낀점을 적어주세요
글쓰기
느낀점을 적어주세요
청구기호 브라우징
관련 인기대출 도서