標(biāo)題: Titlebook: Business Optimization Using Mathematical Programming; An Introduction with Josef Kallrath Textbook 2021Latest edition Springer Nature Switz [打印本頁] 作者: deduce 時(shí)間: 2025-3-21 17:20
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書目名稱Business Optimization Using Mathematical Programming讀者反饋
書目名稱Business Optimization Using Mathematical Programming讀者反饋學(xué)科排名
作者: HUSH 時(shí)間: 2025-3-21 21:49 作者: 大漩渦 時(shí)間: 2025-3-22 03:31 作者: podiatrist 時(shí)間: 2025-3-22 04:41
Modeling Structures Using Mixed Integer Programming,divisible entities (people, living animals, air planes, etc.), and particularly binary variables. Among other things, binary variables can be used to model .In particular, we shall concentrate on the use of binary variables to model simple nonlinear features. Such features can be handled because bin作者: 利用 時(shí)間: 2025-3-22 09:39 作者: Chipmunk 時(shí)間: 2025-3-22 15:55 作者: floaters 時(shí)間: 2025-3-22 19:55
How Optimization Is Used in Practice: Case Studies in Integer Programming,blems of increasing size and complexity. The first group of case studies considers a contract allocation problem, metal ingot production, and a project planning problem. This follows a more extensive scheduling problem in the carton industry.作者: 腐蝕 時(shí)間: 2025-3-23 00:10
,Beyond LP and MILP Problems ?,herefore, it is not intended to cover these topics in complete depth, but the reader should at least be aware that modeling real-world problems is not restricted to linear models. In fractional programming we show how to transform the problem to linear programming, and successive linear programming 作者: 結(jié)構(gòu) 時(shí)間: 2025-3-23 05:27 作者: Orchiectomy 時(shí)間: 2025-3-23 09:32 作者: 諷刺滑稽戲劇 時(shí)間: 2025-3-23 12:14 作者: osculate 時(shí)間: 2025-3-23 16:08
https://doi.org/10.1007/978-3-030-73237-0Business; Linear optimization; Modeling; Optimization; Programming; Software作者: monogamy 時(shí)間: 2025-3-23 20:50
978-3-030-73239-4Springer Nature Switzerland AG 2021作者: ILEUM 時(shí)間: 2025-3-24 02:02
Seyed Mostafa Kia,Andre Marquand used in optimization models. It sketches how simple linear programming (LP) problems may be solved graphically. The chapter contains a survey of real-world problems and finally a review of the history of optimization. Those readers who want to use the optimization software attached to this book wil作者: 杠桿支點(diǎn) 時(shí)間: 2025-3-24 03:22 作者: Mediocre 時(shí)間: 2025-3-24 07:55 作者: 分期付款 時(shí)間: 2025-3-24 11:29 作者: 空洞 時(shí)間: 2025-3-24 17:37
https://doi.org/10.1007/978-3-030-32226-7nt, the model built, and the use to which it would be put. Problems will be ones that require financial modeling, modeling of the closing and opening of facilities, modeling across time periods, discounting over time, using opening and closing balances, and using hard and soft constraints in model d作者: vibrant 時(shí)間: 2025-3-24 21:54
Lecture Notes in Computer Scienceinary LP problems, effective solution of IP problems depends critically upon good model formulation, the use of high-level branching constructs, and control of the B&B strategy. Good formulations are those whose LP feasible region is as “small as possible” not excluding any feasible MILP solution, o作者: resilience 時(shí)間: 2025-3-25 00:15
Beno?t Audelan,Hervé Delingetteblems of increasing size and complexity. The first group of case studies considers a contract allocation problem, metal ingot production, and a project planning problem. This follows a more extensive scheduling problem in the carton industry.作者: Fresco 時(shí)間: 2025-3-25 04:02 作者: 吵鬧 時(shí)間: 2025-3-25 08:46 作者: legislate 時(shí)間: 2025-3-25 11:46 作者: 寬宏大量 時(shí)間: 2025-3-25 16:29
https://doi.org/10.1007/978-3-030-32251-9ine, Institute of Mechanical Engineering Problems, Department of Mathematical Modeling and Optimal Design, Kharkiv, Ukraine & Kharkiv National University of Radioelectronics, Department of Applied Mathematics.), is devoted to the phi-function technique used for mathematical modeling of cutting and p作者: 不溶解 時(shí)間: 2025-3-25 23:50 作者: 孤僻 時(shí)間: 2025-3-26 03:40
International Series in Operations Research & Management Sciencehttp://image.papertrans.cn/b/image/192293.jpg作者: 立即 時(shí)間: 2025-3-26 05:20
From the Problem to its Mathematical Formulation,olving much larger problems. By modeling we mean taking all the features of the original industrial or commercial problem and encapsulating the ideas in it as a mathematical programming problem. We aim for a one-to-one correspondence between the original problem and the model.作者: 凝乳 時(shí)間: 2025-3-26 12:15 作者: SEVER 時(shí)間: 2025-3-26 15:50 作者: Confess 時(shí)間: 2025-3-26 19:06
Lecture Notes in Computer ScienceThis chapter contains several case studies in linear programming. The case studies arise from real-world problems now successfully being solved in industry. In the first case we look at optimization in the chemical industry.作者: 思想流動(dòng) 時(shí)間: 2025-3-27 00:10
Lecture Notes in Computer ScienceIn this chapter a number of standard ILP problems will be formulated. As in Chap. ., we shall look at some straightforward problems that are easy to formulate and then consider harder ILP problems. For many of the problem types a case study is provided, and for some of these, a model relating to the case is supplied in MCOL.作者: 箴言 時(shí)間: 2025-3-27 01:27
Dinggang Shen,Tianming Liu,Ali KhanGlobal optimization techniques, cf. Horst & Pardalos (1995), Floudas (2000), Floudas & Gounaris (2009), or Misener & Floudas (2012), are suitable for solving non-convex NLP or MINLP problems. When in this book we refer to global optimization, we mean ., where a globally optimal objective function value can be computed up to a given .?>?0.作者: 枯萎將要 時(shí)間: 2025-3-27 06:12
Lecture Notes in Computer ScienceIn this chapter many issues are touched upon which are part of more general operational research concerns, particularly when these are amplified by using mathematical programming. It includes a discussion of the possibilities of parallel optimization.作者: 規(guī)范就好 時(shí)間: 2025-3-27 12:00
Zhiyuan Liu,Huai Chen,Huafeng LiuIn this chapter, we provide reflections on the material presented in this book. The chapter ends with the authors’ view of future developments and suggests some conclusions.作者: jagged 時(shí)間: 2025-3-27 15:02 作者: Torrid 時(shí)間: 2025-3-27 19:14 作者: Physiatrist 時(shí)間: 2025-3-28 00:52 作者: intimate 時(shí)間: 2025-3-28 02:32
Global Optimization in Practice,Global optimization techniques, cf. Horst & Pardalos (1995), Floudas (2000), Floudas & Gounaris (2009), or Misener & Floudas (2012), are suitable for solving non-convex NLP or MINLP problems. When in this book we refer to global optimization, we mean ., where a globally optimal objective function value can be computed up to a given .?>?0.作者: auxiliary 時(shí)間: 2025-3-28 06:32
The Impact and Implications of Optimization,In this chapter many issues are touched upon which are part of more general operational research concerns, particularly when these are amplified by using mathematical programming. It includes a discussion of the possibilities of parallel optimization.作者: 公理 時(shí)間: 2025-3-28 13:10 作者: 合乎習(xí)俗 時(shí)間: 2025-3-28 16:40 作者: photopsia 時(shí)間: 2025-3-28 20:30 作者: 用肘 時(shí)間: 2025-3-29 00:29 作者: 上釉彩 時(shí)間: 2025-3-29 06:52
User Control of the Optimization Process and Improving Efficiency,ions. Preprocessing can also improve the model formulation; cf. Achterberg et al. (2008), Gamrath et al. (2015), and Achterberg et al. (2020). The merit of good formulations is evident in practical applications such as Meyer (1969), Jeroslow & Lowe (1984), and Cheshire et al. (1984).作者: Orchiectomy 時(shí)間: 2025-3-29 10:56
0884-8289 m process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques..978-3-030-73239-4978-3-030-73237-0Series ISSN 0884-8289 Series E-ISSN 2214-7934 作者: Malcontent 時(shí)間: 2025-3-29 11:57
Lecture Notes in Computer Scienceions. Preprocessing can also improve the model formulation; cf. Achterberg et al. (2008), Gamrath et al. (2015), and Achterberg et al. (2020). The merit of good formulations is evident in practical applications such as Meyer (1969), Jeroslow & Lowe (1984), and Cheshire et al. (1984).作者: 不要嚴(yán)酷 時(shí)間: 2025-3-29 17:03
Business Optimization Using Mathematical ProgrammingAn Introduction with作者: 青少年 時(shí)間: 2025-3-29 22:37
Dinggang Shen,Tianming Liu,Ali Khan a special case of nonlinear optimization, we provide an equivalent formulation based on special ordered sets. Nonlinear optimization is covered in more detail in the next chapter followed by separate chapters on deterministic global optimization in practice and polylithic modeling and solution approaches.作者: Incumbent 時(shí)間: 2025-3-30 02:41 作者: 松雞 時(shí)間: 2025-3-30 05:15
,Beyond LP and MILP Problems ?, a special case of nonlinear optimization, we provide an equivalent formulation based on special ordered sets. Nonlinear optimization is covered in more detail in the next chapter followed by separate chapters on deterministic global optimization in practice and polylithic modeling and solution approaches.作者: 失敗主義者 時(shí)間: 2025-3-30 11:11 作者: 被詛咒的人 時(shí)間: 2025-3-30 12:52 作者: evince 時(shí)間: 2025-3-30 18:53 作者: NAIVE 時(shí)間: 2025-3-31 00:30 作者: Spinous-Process 時(shí)間: 2025-3-31 03:21
Jiong Zhang,Amir H. Kashani,Yonggang Shimodel .In particular, we shall concentrate on the use of binary variables to model simple nonlinear features. Such features can be handled because binary variables allow us to model logical conditions. These approaches will then be illustrated by examples and later many of the approaches will appear in a series of short case studies.作者: 壁畫 時(shí)間: 2025-3-31 08:57
https://doi.org/10.1007/978-3-030-32251-9 paper industry, which were solved with the help of polylithic modeling and solution approaches. In detail, roll minimization based on column generation, simultaneous minimization of waste, and the number of used patterns, as well as format production, are treated.作者: 檢查 時(shí)間: 2025-3-31 11:42 作者: 柔軟 時(shí)間: 2025-3-31 16:55 作者: misshapen 時(shí)間: 2025-3-31 21:11
Modeling Structures Using Mixed Integer Programming,model .In particular, we shall concentrate on the use of binary variables to model simple nonlinear features. Such features can be handled because binary variables allow us to model logical conditions. These approaches will then be illustrated by examples and later many of the approaches will appear in a series of short case studies.
