標題: Titlebook: Convex Analysis and Global Optimization; Hoang Tuy Book 2016Latest edition Springer International Publishing AG 2016 D.C. functions.convex [打印本頁] 作者: corrode 時間: 2025-3-21 17:48
書目名稱Convex Analysis and Global Optimization影響因子(影響力)
書目名稱Convex Analysis and Global Optimization影響因子(影響力)學(xué)科排名
書目名稱Convex Analysis and Global Optimization網(wǎng)絡(luò)公開度
書目名稱Convex Analysis and Global Optimization網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Convex Analysis and Global Optimization被引頻次
書目名稱Convex Analysis and Global Optimization被引頻次學(xué)科排名
書目名稱Convex Analysis and Global Optimization年度引用
書目名稱Convex Analysis and Global Optimization年度引用學(xué)科排名
書目名稱Convex Analysis and Global Optimization讀者反饋
書目名稱Convex Analysis and Global Optimization讀者反饋學(xué)科排名
作者: Interim 時間: 2025-3-21 23:48 作者: 疼死我了 時間: 2025-3-22 03:21 作者: Allege 時間: 2025-3-22 06:01 作者: Colonoscopy 時間: 2025-3-22 10:31 作者: Anthology 時間: 2025-3-22 15:20
Fixed Point and Equilibriuml equilibrium theorem from which virtually all important fixed point and equilibrium propositions can be derived in a simple unified manner: Ky Fan inequality, Brouwer and Kakutani fixed point theorems, Nash equilibrium theorem, and also the basic solvability theorem for variational inequalities.作者: Anthology 時間: 2025-3-22 20:18 作者: 厚臉皮 時間: 2025-3-23 00:24 作者: CAND 時間: 2025-3-23 04:25 作者: Hallmark 時間: 2025-3-23 08:13
The Origins of the Telegraph Service, the duality gap, and optimal visible point method for a particular class of problems with a visibility assumption. The second part of the chapter is devoted to the quasi-gradient duality method for global optimization and the relief indicator method for continuous optimization problems with no special structure.作者: MOAT 時間: 2025-3-23 12:38 作者: RALES 時間: 2025-3-23 16:52
https://doi.org/10.1057/9781137433749al on . as a difference of two increasing functions, a polynomial optimization problem is treated as a monotonic optimization problem. In particular, the Successive Incumbent Transcending algorithm is developed which starts from a quickly found feasible solution then proceeds to gradually improving it to optimality.作者: 性滿足 時間: 2025-3-23 22:01
https://doi.org/10.1057/9781137394996and the basic theorem on representation of a polyhedron in terms of its extreme points and extreme directions is established. The chapter closes by a study of systems of convex sets, including a proof of Helly’s Theorem.作者: 有說服力 時間: 2025-3-23 23:29
Convex Setsand the basic theorem on representation of a polyhedron in terms of its extreme points and extreme directions is established. The chapter closes by a study of systems of convex sets, including a proof of Helly’s Theorem.作者: 政府 時間: 2025-3-24 05:18
1931-6828 unity.Equips readers to handle a mathematically rigorous app.This book presents state-of-the-art results and methodologies in modern global optimization, and has been a staple reference for researchers, engineers, advanced students (also in applied mathematics), and practitioners in various fields o作者: enterprise 時間: 2025-3-24 07:19 作者: Watemelon 時間: 2025-3-24 12:52 作者: 確認 時間: 2025-3-24 18:36
https://doi.org/10.1057/9781137433749n methods. Few methods have been concerned with finding a global optimal solution. This chapter presents a global optimality approach to this class of problems in the most important special cases that include: bilevel programming, optimization over the efficient set, and optimization with variational inequality constraint.作者: 確定的事 時間: 2025-3-24 22:31
New Directions in Latino American Culturesem in its strongest version together with its application to the theory of optimality conditions and Lagrange duality for convex and generalized convex optimization, including conic optimization and semidefinite programming.作者: Indecisive 時間: 2025-3-25 02:17 作者: legislate 時間: 2025-3-25 04:31
Melanie Hall,Kate Pahl,Steve Pooln procedure. The latter consists in iteratively building a sequence of cuts determining a sequence of relaxed problems whose global optimal solutions will eventually converge to a global optimal solution of the original problem.作者: 出來 時間: 2025-3-25 10:29 作者: etidronate 時間: 2025-3-25 15:29
Convex Functionsem in its strongest version together with its application to the theory of optimality conditions and Lagrange duality for convex and generalized convex optimization, including conic optimization and semidefinite programming.作者: 悠然 時間: 2025-3-25 18:02
DC Functions and DC Setseir systematic study. The following questions are discussed next: which functions are dc; how to find an effective representation of a dc function, and how to recognize a minimizer of a dc function on .. In the last section Toland duality relation in dc minimization problems is presented.作者: 轉(zhuǎn)換 時間: 2025-3-25 22:10
General Methodsn procedure. The latter consists in iteratively building a sequence of cuts determining a sequence of relaxed problems whose global optimal solutions will eventually converge to a global optimal solution of the original problem.作者: 補充 時間: 2025-3-26 03:34 作者: 講個故事逗他 時間: 2025-3-26 05:03
https://doi.org/10.1007/978-3-319-31484-6D; C; functions; convex functions; decomposition method; minimax theorem; monotonic optimization; quadrati作者: ZEST 時間: 2025-3-26 09:54
978-3-319-81049-2Springer International Publishing AG 2016作者: 他去就結(jié)束 時間: 2025-3-26 12:45
Hoang TuyPresents up-to-date research and methodologies in modern global optimization.Serves as a reference for a wide swath of the optimization community.Equips readers to handle a mathematically rigorous app作者: Statins 時間: 2025-3-26 18:12
Springer Optimization and Its Applicationshttp://image.papertrans.cn/c/image/237822.jpg作者: 作繭自縛 時間: 2025-3-27 00:53
https://doi.org/10.1057/9781137394996th related concepts of dimension, relative interior and closure of a convex set, gauge and recession cone. Caratheodory’s Theorem and Shapley–Folkman’s Theorem are formulated and proven. The first and second separation theorems are presented and on this basis the geometric structure of a convex set 作者: GAVEL 時間: 2025-3-27 04:56 作者: 碌碌之人 時間: 2025-3-27 07:38 作者: Neutropenia 時間: 2025-3-27 11:41
Ethics, Voices and Visual Methodsce of two convex sets. Several important properties of dc functions and dc sets are discussed, among them: (1) any continuous function can be approximated as closely as desired by a dc function; (2) any closed set in . is the projection of a dc set from .; (3) the class of dc functions is stable und作者: Affectation 時間: 2025-3-27 15:08
Same Meaning, Different Productioners (or maximizers) with distinct function values. Finding the global minimizer (or global maximixer) in such cases is often of considerable interest and at the same time a great challenge. Fortunately, most global optimization problems of practical interest fall into two basic classes: ., which dea作者: glowing 時間: 2025-3-27 20:33 作者: 悅耳 時間: 2025-3-28 01:10
Ethics, Voices and Visual Methods, concave minimization under convex constraints (Sect. 7.2), reverse convex programming (Sect. 7.3), general canonical dc optimization problem (Sect. 7.4), general robust approach to dc optimization (Sect. 7.5), and also applications of dc optimization in various fields (Sects. 7.6–7.8) such as desi作者: 串通 時間: 2025-3-28 04:55 作者: Enervate 時間: 2025-3-28 07:09
Victorian Telegraphy Before Nationalizationrametric convex optimization problem, a BB Algorithm has been proposed which branches upon the space of the parameter . and operates basically as a decomposition method that reduces the problem to a sequence of easier subproblems. The present chapter deals with the important case when . is small. It作者: V切開 時間: 2025-3-28 12:41
https://doi.org/10.1057/9781137432339ree of nonconvexity. One of the earliest significant results in this area is the celebrated S-Lemma of Yakubovich which plays a major role in the development of quadratic optimization. In this chapter, a study of nonconvex quadratic programming is provided that starts with a generalized S-Lemma esta作者: auxiliary 時間: 2025-3-28 16:41
Voice and New Writing, 1997-2007last 15 years. The basic concepts are introduced, then the basic polyblock algorithm along with the SIT (Successive Incumbent Transcending) Algorithm for canonical monotonic optimization is described. Finally some important applications in economics and engineering, particularly in communication and作者: Evocative 時間: 2025-3-28 22:34 作者: 溫順 時間: 2025-3-29 02:48 作者: 漸強 時間: 2025-3-29 04:43 作者: 無能性 時間: 2025-3-29 07:59 作者: 高深莫測 時間: 2025-3-29 14:23
Voice and New Writing, 1997-2007last 15 years. The basic concepts are introduced, then the basic polyblock algorithm along with the SIT (Successive Incumbent Transcending) Algorithm for canonical monotonic optimization is described. Finally some important applications in economics and engineering, particularly in communication and networking systems, are discussed.作者: Enthralling 時間: 2025-3-29 19:15 作者: Madrigal 時間: 2025-3-29 21:00
Convex Functionsonvexity, including a theorem on the concavity of the geometric mean of . concave positive functions. Theorems on consistent and inconsistent systems of convex inequalities are then established, to provide the foundation for the study of differential properties of convex functions, subdifferential c作者: flutter 時間: 2025-3-30 01:26 作者: 孤獨無助 時間: 2025-3-30 07:14 作者: COLON 時間: 2025-3-30 10:43 作者: 含水層 時間: 2025-3-30 16:08
General Methods by relaxation or restriction. This chapter presents two most popular general methods: branch and bound (BB) and outer approximation (OA). Section?6.1 discusses the theoretical foundations of three basic types of partitioning processes: simplicial, conical, and rectangular, with a focus on the basic作者: 書法 時間: 2025-3-30 17:43
DC Optimization Problems, concave minimization under convex constraints (Sect. 7.2), reverse convex programming (Sect. 7.3), general canonical dc optimization problem (Sect. 7.4), general robust approach to dc optimization (Sect. 7.5), and also applications of dc optimization in various fields (Sects. 7.6–7.8) such as desi作者: apropos 時間: 2025-3-31 00:18
Special Methodspecial methods adapted to special problems of dc optimization and extensions: polyhedral annexation for concave minimization and reverse convex programming, decomposition method for convex problems depending upon a multivariate parameter, including decomposition of partly convex problems by reducing作者: kyphoplasty 時間: 2025-3-31 02:32 作者: 舉止粗野的人 時間: 2025-3-31 08:45
Nonconvex Quadratic Programmingree of nonconvexity. One of the earliest significant results in this area is the celebrated S-Lemma of Yakubovich which plays a major role in the development of quadratic optimization. In this chapter, a study of nonconvex quadratic programming is provided that starts with a generalized S-Lemma esta
