標(biāo)題: Titlebook: Deterministic Global Optimization; Theory, Methods and Christodoulos A. Floudas Book 2000 Springer Science+Business Media Dordrecht 2000 A [打印本頁(yè)] 作者: 精明 時(shí)間: 2025-3-21 16:21
書(shū)目名稱Deterministic Global Optimization影響因子(影響力)
書(shū)目名稱Deterministic Global Optimization影響因子(影響力)學(xué)科排名
書(shū)目名稱Deterministic Global Optimization網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Deterministic Global Optimization網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Deterministic Global Optimization被引頻次
書(shū)目名稱Deterministic Global Optimization被引頻次學(xué)科排名
書(shū)目名稱Deterministic Global Optimization年度引用
書(shū)目名稱Deterministic Global Optimization年度引用學(xué)科排名
書(shū)目名稱Deterministic Global Optimization讀者反饋
書(shū)目名稱Deterministic Global Optimization讀者反饋學(xué)科排名
作者: bromide 時(shí)間: 2025-3-21 23:18 作者: 某人 時(shí)間: 2025-3-22 02:39
The GOP Primal — Relaxed Dual Decomposition Approach : Theory decomposition first developed by Benders (1962) for mixed integer linear programming, and later extended by Geoffrion (1972) for nonlinear programming. The decomposition and duality principles are presented in detail in Floudas (1995). In section 3.1, the problem is stated and the classes of mathem作者: consolidate 時(shí)間: 2025-3-22 07:41
The GOP Approach : Implementation and Computational Studiessynthesis, pooling and blending, separation networks, as well as concave and indefinite quadratic problems studied by Visweswaran and Floudas (1996b), (1990), (1993). Section 4.1 discusses the various aspects involved in the implementation, including reduction tests and local enhancements at each no作者: 泰然自若 時(shí)間: 2025-3-22 09:17
The GOP Approach in Bilevel Linear and Quadratic Problemsms as developed by Visweswaran .. (1996). In section 5.1, the reader is briefly introduced to the bilevel programming literature work. In section 5.2, the bilevel linear problem is formulated followed by the theoretical analysis based on the principles of the GOP algorithm. Section 5.3 presents the 作者: 含糊其辭 時(shí)間: 2025-3-22 14:56
The GOP Approach in Phase and Chemical Equilibrium Problems McDonald and Floudas (1994), (1995a), and (1995b). Two main classes of phase and chemical equilibrium problems are addressed: (a) the minimization of the Gibbs free energy and (b) the tangent plane stability criterion. Section 6.1 presents the formulation of minimization of the Gibbs free energy pr作者: 含糊其辭 時(shí)間: 2025-3-22 19:54
The GOP Approach : Distributed Implementationg results for indefinite quadratic programming problems and for large-scale pooling problems that arise in chemical refineries. Section 7.1 focuses on the critical components of the distributed implementation of the GOP approach. Section 7.2 presents the computational results for large-scale indefin作者: 鎮(zhèn)痛劑 時(shí)間: 2025-3-23 01:06
Generalized Geometric Programming : Theoryhis material is based on the work of Maranas and Floudas (1997). Section 8.1 provides an introduction to generalized geometric programming. Section 8.2 focuses on the theoretical analysis for the development of a global optimization approach. Section 8.3 presents the global optimization algorithm an作者: Pessary 時(shí)間: 2025-3-23 02:50
Generalized Geometric Programming : Computational Studiesn Chapter 8. A number of engineering design problems are addressed for which convergence to an ∈-global minimum is guaranteed. A framework for checking the stability of given control strategies is presented which requires the solution of . problems, and a number of stability analysis examples are co作者: Phagocytes 時(shí)間: 2025-3-23 09:08 作者: 圓桶 時(shí)間: 2025-3-23 10:12
The ,BB Approach for Box Constrained Twice-Differentiable NLPs : Theoryformulation of the box constrained nonlinear problems, and the transformation into a D.C. problem of special structure that leads into the . required by the GOP. Section 11.2 presents the important derivation of a convex lower bounding function, ., based on duality theory, and discusses all the theo作者: parallelism 時(shí)間: 2025-3-23 16:36
The ,BB Approach for General Constrained Twice-Differentiable NLPs : Theorydifferentiable. Section 12.1 presents the formulation and an outline of the basic principles behind the .BB approach. Section 12.2 discusses (i) the underestimation strategies employed for special structure terms such as bilinear, trilinear, fractional, fractional trilinear and univariate concave te作者: 提升 時(shí)間: 2025-3-23 19:58
Computational Studies of the ,BB Approachal studies. Section 13.1 focuses on the important issues of branching strategies and variable bound updates. Section 13.2 describes the implementation of the .BB. Finally, section 13.3 presents extensive computational studies on literature, engineering design and stability problems. The material pre作者: acrophobia 時(shí)間: 2025-3-24 02:11
Global Optimization in Microclusters presents an introduction to the research area of microclusters and provides some background information. Section 14.2 discusses the problem definition. Section 14.3 presents the novel difference of convex functions (DC) transformation which is based on eigenvalue analysis for a variety of potential作者: 芳香一點(diǎn) 時(shí)間: 2025-3-24 05:06 作者: 鈍劍 時(shí)間: 2025-3-24 09:10 作者: 美色花錢 時(shí)間: 2025-3-24 13:22
Takashi Toriu,Mikiya Hironaga,Naoya Hasebeion of the global optimization problems and contrasts them with the local optimization problems. Section 1.2 presents the structure of the three classes of mathematical models that we focus on this book. Section 1.3 presents a number of illustrative examples of important global optimization applicat作者: Acumen 時(shí)間: 2025-3-24 15:02
https://doi.org/10.1007/978-3-319-23204-1plications. In section 2.1 the fundamentals of convex sets are discussed. In section 2.2 the subject of convex and concave functions is presented. In section 2.3 the definitions and properties of quasiconvex and pseudoconvex functions are discussed. Section 2.4 presents the definition and properties作者: 裝飾 時(shí)間: 2025-3-24 20:52 作者: GULLY 時(shí)間: 2025-3-25 00:25 作者: Limousine 時(shí)間: 2025-3-25 03:32
https://doi.org/10.1007/978-3-642-61322-7ms as developed by Visweswaran .. (1996). In section 5.1, the reader is briefly introduced to the bilevel programming literature work. In section 5.2, the bilevel linear problem is formulated followed by the theoretical analysis based on the principles of the GOP algorithm. Section 5.3 presents the 作者: 使乳化 時(shí)間: 2025-3-25 07:55
https://doi.org/10.1007/978-3-642-61322-7 McDonald and Floudas (1994), (1995a), and (1995b). Two main classes of phase and chemical equilibrium problems are addressed: (a) the minimization of the Gibbs free energy and (b) the tangent plane stability criterion. Section 6.1 presents the formulation of minimization of the Gibbs free energy pr作者: explicit 時(shí)間: 2025-3-25 15:17
https://doi.org/10.1007/978-94-017-1669-7g results for indefinite quadratic programming problems and for large-scale pooling problems that arise in chemical refineries. Section 7.1 focuses on the critical components of the distributed implementation of the GOP approach. Section 7.2 presents the computational results for large-scale indefin作者: FOR 時(shí)間: 2025-3-25 19:37 作者: deviate 時(shí)間: 2025-3-25 20:48 作者: Little 時(shí)間: 2025-3-26 01:59 作者: 男生如果明白 時(shí)間: 2025-3-26 05:49
Recent Developments in Alcoholismformulation of the box constrained nonlinear problems, and the transformation into a D.C. problem of special structure that leads into the . required by the GOP. Section 11.2 presents the important derivation of a convex lower bounding function, ., based on duality theory, and discusses all the theo作者: insincerity 時(shí)間: 2025-3-26 09:53
Recent Developments in Alcoholismdifferentiable. Section 12.1 presents the formulation and an outline of the basic principles behind the .BB approach. Section 12.2 discusses (i) the underestimation strategies employed for special structure terms such as bilinear, trilinear, fractional, fractional trilinear and univariate concave te作者: 違反 時(shí)間: 2025-3-26 15:54 作者: LINES 時(shí)間: 2025-3-26 18:48 作者: enumaerate 時(shí)間: 2025-3-26 23:08 作者: 打谷工具 時(shí)間: 2025-3-27 04:49
Recent Developments in Alcoholismroduction to the protein folding problem. Section 16.2 describes the potential energy model and two solvation models based on the area and volume accessible to the solvent. Section 16.3 discusses the concepts, the algorithmic issues and the implementation of the global optimization approach .BB as i作者: Halfhearted 時(shí)間: 2025-3-27 08:17 作者: wreathe 時(shí)間: 2025-3-27 13:21
https://doi.org/10.1007/978-1-4757-4949-6Azeotrope; Maxima; Operations Research; Quad; algorithms; linear optimization; nonlinear optimization; opti作者: 過(guò)多 時(shí)間: 2025-3-27 17:21 作者: 離開(kāi) 時(shí)間: 2025-3-27 18:41
Nonconvex Optimization and Its Applicationshttp://image.papertrans.cn/d/image/269339.jpg作者: Overdose 時(shí)間: 2025-3-27 23:29
1571-568X a and maxima, as well as first, second and higher order saddle points. The area of Deterministic Global Optimization introduces theoretical, algorithmic and computational ad- vances that (i) address the computation and characterization of global minima and maxima, (ii) determine valid lower and uppe作者: Jacket 時(shí)間: 2025-3-28 03:30
https://doi.org/10.1007/978-981-16-8430-2 (1990), (1993). Section 4.1 discusses the various aspects involved in the implementation, including reduction tests and local enhancements at each node of the tree. In particular, the movement of data from one part of the program to another is discussed in detail. Section 4.2 focuses on the computational studies.作者: geometrician 時(shí)間: 2025-3-28 09:21
https://doi.org/10.1007/978-94-017-1669-7 the critical components of the distributed implementation of the GOP approach. Section 7.2 presents the computational results for large-scale indefinite quadratic problems. Finally, section 7.3 discusses the computational performance of the parallel GOP approach for large-scale blending and pooling problems.作者: companion 時(shí)間: 2025-3-28 11:10
Genes controlling sex expression2 focuses on the theoretical analysis for the development of a global optimization approach. Section 8.3 presents the global optimization algorithm and its proof of convergence to an e-global optimum solution. Finally, section 8.4 presents an illustrative example.作者: Limited 時(shí)間: 2025-3-28 16:31 作者: Traumatic-Grief 時(shí)間: 2025-3-28 22:37 作者: 星球的光亮度 時(shí)間: 2025-3-28 23:41 作者: vitreous-humor 時(shí)間: 2025-3-29 03:10
From Biconvex to General Twice Differentiable NLPsn of the a parameters and one alternative for obtaining rigorous bounds on the a parameters for general constrained twice differentiable nonlinear optimization problems. The material presented in this chapter is based on the work of Liu and Floudas (1993) and Maranas and Floudas (1994b).作者: Brochure 時(shí)間: 2025-3-29 08:13
The ,BB Approach in Molecular Structure Predictionscussed in Chapter 11. Finally, section 15.5 discusses the application of the .BB to the structure prediction of propanal. The material presented in this chapter is based on the work of Maranas and Floudas (1994a), (1994b).作者: Charade 時(shí)間: 2025-3-29 13:22
https://doi.org/10.1007/978-3-642-61322-7nd its mathematical formulation. Section 6.5 discusses the theoretical developments for applying the GOP to the tangent plane stability criterion, and finally section 6.6 presents an illustrative example.作者: 調(diào)味品 時(shí)間: 2025-3-29 15:48 作者: BURSA 時(shí)間: 2025-3-29 20:29 作者: 演繹 時(shí)間: 2025-3-30 03:38 作者: Eosinophils 時(shí)間: 2025-3-30 06:31
The GOP Approach : Distributed Implementation the critical components of the distributed implementation of the GOP approach. Section 7.2 presents the computational results for large-scale indefinite quadratic problems. Finally, section 7.3 discusses the computational performance of the parallel GOP approach for large-scale blending and pooling problems.作者: Orthodontics 時(shí)間: 2025-3-30 08:14 作者: eardrum 時(shí)間: 2025-3-30 14:13 作者: 馬賽克 時(shí)間: 2025-3-30 19:19
https://doi.org/10.1007/978-3-319-23204-1 of the convex envelopes. Section 2.5 presents the definitions of the local, global optima and E-global optima. Finally, section 2.6 introduces the reader to the basics of difference of convex functions denoted as D.C. functions.作者: aggressor 時(shí)間: 2025-3-30 21:01
https://doi.org/10.1007/978-3-642-61322-7modified-GOP approach along with computational studies for bilevel linear programming problems. Finally, section 5.4 presents the theoretical and computational studies for bilevel quadratic programming models based on the GOP principles.作者: 反對(duì) 時(shí)間: 2025-3-31 01:53 作者: 沒(méi)有準(zhǔn)備 時(shí)間: 2025-3-31 06:46
Recent Developments in Alcoholismretical properties that . satisfies. Section 11.3 introduces the .BB global optimization approach for box constrained twice-differentiable NLPs and presents its convergence proof. Section 11.4 presents the complexity analysis of the .BB approach. The material presented in this chapter is based on the work of Maranas and Floudas (1994a), (1994b).作者: expunge 時(shí)間: 2025-3-31 11:44 作者: 銼屑 時(shí)間: 2025-3-31 13:52
Basic Concepts of Global Optimization of the convex envelopes. Section 2.5 presents the definitions of the local, global optima and E-global optima. Finally, section 2.6 introduces the reader to the basics of difference of convex functions denoted as D.C. functions.作者: 騙子 時(shí)間: 2025-3-31 18:06
The GOP Approach in Bilevel Linear and Quadratic Problemsmodified-GOP approach along with computational studies for bilevel linear programming problems. Finally, section 5.4 presents the theoretical and computational studies for bilevel quadratic programming models based on the GOP principles.作者: cinder 時(shí)間: 2025-4-1 00:57
