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標(biāo)題: Titlebook: Numerical Optimization; Theoretical and Prac J. Frédéric Bonnans,J. Charles Gilbert,Claudia A. Textbook 20031st edition Springer-Verlag Be [打印本頁]

作者: Fixate    時間: 2025-3-21 16:24
書目名稱Numerical Optimization影響因子(影響力)




書目名稱Numerical Optimization影響因子(影響力)學(xué)科排名




書目名稱Numerical Optimization網(wǎng)絡(luò)公開度




書目名稱Numerical Optimization網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Numerical Optimization被引頻次




書目名稱Numerical Optimization被引頻次學(xué)科排名




書目名稱Numerical Optimization年度引用




書目名稱Numerical Optimization年度引用學(xué)科排名




書目名稱Numerical Optimization讀者反饋




書目名稱Numerical Optimization讀者反饋學(xué)科排名





作者: cuticle    時間: 2025-3-21 20:57

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作者: 懶惰人民    時間: 2025-3-22 07:28
he book also emphasizes the experimental discoveries that put the subject in its perspective and elaborate on the applications which are likely to be of interest to scientists and engineers..978-981-99-5323-3978-981-99-5321-9
作者: dominant    時間: 2025-3-22 11:53

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J. Frédéric Bonnans,J. Charles Gilbert,Claude Lemaréchal,Claudia A. Sagastizábalide,theoreticalphysicshasclearlyalsobene?tted,sincethecorresponding developments have helped better to understand aspects of the fundamentals of ?eld and string theory.978-90-481-6779-1978-1-4020-3177-9Series ISSN 0921-3767 Series E-ISSN 2352-3905
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J. Frédéric Bonnans,J. Charles Gilbert,Claude Lemaréchal,Claudia A. Sagastizábalide,theoreticalphysicshasclearlyalsobene?tted,sincethecorresponding developments have helped better to understand aspects of the fundamentals of ?eld and string theory.978-90-481-6779-1978-1-4020-3177-9Series ISSN 0921-3767 Series E-ISSN 2352-3905
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作者: BLAZE    時間: 2025-3-23 10:52
e then used to ring-close the linear precursors and produce the well-defined cyclic polymers. This chapter reviews on the recent developments of the ring-closure strategy for synthesizing cyclic polymers, especially focusing on those methods with photo-induced click chemistry and self-accelerating click chemistry as the ring-closing reactions.
作者: Biomarker    時間: 2025-3-23 16:51

作者: 隱語    時間: 2025-3-23 21:58
J. Frédéric Bonnans,J. Charles Gilbert,Claude Lemaréchal,Claudia A. Sagastizábal or bond vectors of the TCRW for a connected graph is directly derived from the normal distribution with unit variance. For instance, thanks to it we can rapidly generate conformations of the Gaussian network of a given graph where external forces are applied at the surfaces so that it has a nonzero finite volume in equilibrium.
作者: 富饒    時間: 2025-3-24 00:17
J. Frédéric Bonnans,J. Charles Gilbert,Claude Lemaréchal,Claudia A. Sagastizábal
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J. Frédéric Bonnans,J. Charles Gilbert,Claude Lemaréchal,Claudia A. Sagastizábal
作者: 有危險    時間: 2025-3-24 09:16
J. Frédéric Bonnans,J. Charles Gilbert,Claude Lemaréchal,Claudia A. Sagastizábal
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J. Frédéric Bonnans,J. Charles Gilbert,Claude Lemaréchal,Claudia A. Sagastizábal
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Textbook 20031st editiontutorial way. It covers fundamental algorithms as well as more specialized and advanced topics for unconstrained and constrained problems. Most of the algorithms are explained in a detailed manner, allowing straightforward implementation. Theoretical aspects of the approaches chosen are also address
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Local Methods for Problems with Equality Constraints for which the algorithms presented here are hardly appropriate. Therefore, a good geometrical representation of the feasible set of problem (..) is that of a submanifold .. of ?., like the one depicted in Figure 12.1.
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J. Frédéric Bonnans,J. Charles Gilbert,Claudia A. Combines mathematical developments, description and analysis of algorithms.Selection of algorithms is based on their applicability to real-life problems.Includes supplementary material:
作者: Ejaculate    時間: 2025-3-27 06:17
General Introductiont will be the usual dot-product: .); | · | or ∥ · ∥ will denote the associated norm. The . (vector of partial derivatives) of a function .: ?. → ? will be denoted by ? . or .′; the . (matrix of second derivatives) by ?.. or .″. We will also use continually the notation .(.) = .′(.).
作者: originality    時間: 2025-3-27 09:42
Special Methodsmely important, and might supersede line-searches, sooner or later. The other methods deal with the direction; they are either classical (Gauss-Newton) or recent (limited-memory quasi-Newton, truncated Newton) and apply only in some well-defined subclasses of problems.
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Bundle Methods. The Quest of DescentNone of the black-box methods considered so far are descent schemes. Only the steepest-descent method guarantees a decrease of the objective function at each iteration. However, it requires the complete knowledge of .., and can be unstable.
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BackgroundBefore entering the subject itself, we recall some basic concepts. For further details, the reader is referred to the books by Fletcher [116, 1987], Ciarlet [74, 1988], Gauvin [128, 129, 1992–95], Hiriart-Urruty and Lemaréhal [171, 1993], and Bonnans and Shapiro [46, 2000]. See also [137] for an online review (in French).
作者: flaunt    時間: 2025-3-28 19:52
Local Methods for Problems with Equality and Inequality ConstraintsIn this chapter, we consider the general minimization problem (..), with equality and inequality nonlinear constraints, which we recall in Figure 13.1.
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J. Frédéric Bonnans,J. Charles Gilbert,Claude Lemaréchal,Claudia A. Sagastizábal by the authorsThe emergence of topological quantum ?eld theory has been one of the most important breakthroughs which have occurred in the context of ma- ematical physics in the last century, a century characterizedbyindependent developments of the main ideas in both disciplines, physics and mathem
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J. Frédéric Bonnans,J. Charles Gilbert,Claude Lemaréchal,Claudia A. Sagastizábal by the authorsThe emergence of topological quantum ?eld theory has been one of the most important breakthroughs which have occurred in the context of ma- ematical physics in the last century, a century characterizedbyindependent developments of the main ideas in both disciplines, physics and mathem
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作者: 肉身    時間: 2025-3-31 04:25
General Introductiont will be the usual dot-product: .); | · | or ∥ · ∥ will denote the associated norm. The . (vector of partial derivatives) of a function .: ?. → ? will be denoted by ? . or .′; the . (matrix of second derivatives) by ?.. or .″. We will also use continually the notation .(.) = .′(.).
作者: cogent    時間: 2025-3-31 07:51
Line-Searches be studied in the next chapters), we focus on the computation of the stepsize. Here appear the most serious practical difficulties, while directions are generally easy to compute, once the theory is well-mastered. A firm experience is required to write a good computer code for line-searches, which
作者: cancellous-bone    時間: 2025-3-31 11:36
Conjugate Gradientith symmetric positive definite matrix (or, equivalently, to minimize in . iterations a quadratic strongly convex function on ?.), without storing an additional matrix, without even storing the matrix of the system. In fact, to solve . + . = 0 (. symmetric positive definite), the conjugate gradient
作者: CUB    時間: 2025-3-31 14:14
Special Methodsmely important, and might supersede line-searches, sooner or later. The other methods deal with the direction; they are either classical (Gauss-Newton) or recent (limited-memory quasi-Newton, truncated Newton) and apply only in some well-defined subclasses of problems.
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