[PDF] Top 20 A study of optimization in Hilbert Space
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A study of optimization in Hilbert Space
... / defined on a subspace M ofa normed linear space can be extended to a bounded linear. functional F defined on the entire space and with norm equal to the norm of/ on M,that[r] ... See full document
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A Study on Utilization & Cost Optimization of Sustainable Resource in Vimeet Campus
... 4. Mrs.VidulaArun Swami, ‘Watershed management – A means of sustainable development - a case study’ This paper presents case study where large amount of rainwater is directed to recharge ground water ... See full document
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Graphical Models: Modeling, Optimization, and Hilbert Space Embedding
... topic space to the power set of all the topics, and EM was used to estimate the parameters with special care paid to overfitting which results from the exponentially large latent ... See full document
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Quadratic optimization of fixed points for a family of nonexpansive mappings in Hilbert space
... Given a finite family of nonexpansive self-mappings of a Hilbert space, a particular qua- dratic functional, and a strongly positive selfadjoint bounded linear operator, Yamada et al. defined an iteration ... See full document
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A study on numerical range of operators in a hilbert space
... Notwithstanding the fact that the numerical range is still a useful to o l f o r the study of finite matrices, the scope of the concept of numerical ranges has been enlarged by its usefu[r] ... See full document
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On a certain class of nonstationary sequences in Hilbert space
... We study the functions of correlation K(n, m) = X(n), X(m) of certain se- quences: X(n) = T n x 0 , x 0 ∈ H where T is a contraction in Hilbert space ... See full document
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Hilbert space compression and exactness of discrete groups
... the study of exactness we should point out that groups with property A admit a uniform embedding into Hilbert Space and satisfy the strong Novikov conjecture, and the coarse Baum Connes con- jecture ... See full document
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A Brief Digest on Reproducing Kernel Hilbert Space
... Abstract. Reproducing Kernel Hilbert Space (RKHS) is a common used tool in statistics and machine learning to generalize from linear models to non-linear models. In this paper we will try to understand the ... See full document
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Isomorphism of Groups of Operators on Hilbert Space
... Sincere effort has been made in order to study isomorphism of groups of operators. It is a well known fact that a mapping from a group to another group satisfying a set of special conditions is called an ... See full document
6
Discrete Reproducing Kernel Hilbert Spaces: Sampling and Distribution of Dirac-masses
... The paper is organized as follows: Section 2 leads up to our characterization (Theorem 1) of point-masses which have finite H -norm. It is applied in Sections 3 and 4 to a variety of classes of discrete RKHSs. Section 3 ... See full document
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Representation Theorem on Γ-Hilbert Space
... Γ-Hilbert space was introduced by Bhattacharya ...Γ- Hilbert space and linear quadratic control problem” in ...Γ-Hilbert Space after that. So it is very essential to develop the ... See full document
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Hilbert Space Embeddings and Metrics on Probability Measures
... metric space, where the L´evy-Prohorov distance (Dudley, 2002, Chapter 11) and dual-bounded Lipschitz distance (also called the Dudley metric) (Dudley, 2002, Chapter 11) are commonly ... See full document
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EXTENSION OF THE PROJECTION THEOREM ON HILBERT SPACE TO FUZZY HILBERT SPACE OVER FUZZY NUMBER SPACE
... Fuzzy sets were introduced simultaneously by Lotfi.A.Zadeh and Dieter Klaua in 1965 as an extension of the classical notion of a set. Many contributions in fuzzy set theory are dispersed over a broad range providing ... See full document
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Numerical Radius Inequalities for Sums and Products of Operators
... 2011 Numerical Radius Inequalities for Commutators of Hilbert Space Operators.. Numerical Functional Analysis and Optimization, 32, 739-749.[r] ... See full document
8
Two Nonzero Component Lemma and Matrix Trigonometry
... Karl Gustafson in 1968. This identity was part of his min-max theorem. The identity was the basis of operator trigonometry. The original proof was based on Hilbert space techniques and convexity of operator ... See full document
7
Three kinds of new hybrid projection methods for a finite family of quasi-asymptotically pseudocontractive mappings in Hilbert spaces
... of study in both pure and applied ...of Hilbert and Banach spaces has made great advancements since ; see, for in- stance, [–] and the references ... See full document
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Nonlinear functional integrodifferential equations in Hilbert space
... Abstract. Let X be a Hilbert space and let Ω ⊂ R n be a bounded domain with smooth boundary ∂Ω. We establish the existence and norm estimation of solutions for the parabolic partial functional ... See full document
8
On the quasiuniqueness of solutions of degenerate equations in Hilbert space
... The method of the proof of the theorems concerning the quasiuniqueness of the solution of 0.1-0.2 presented in sctions 2 an 3 allows one to assert, even in cases when there is no quasiun[r] ... See full document
14
THE EFFECT OF FOURIER TRANSFORM ON FUNCTIONS IN HILBERT SPACE
... In quantum theory, each of the paired quantities, e.g., position and momentum, are interrelated by the Fourier transform.. This Fourier transform-based duality between position and momentum, or multiplication and ... See full document
8
Intuitionistic Fuzzy Hilbert Space And Some Properties
... product space (FIP-space) and fuzzy norm ...product space (FIP-space) whose associated fuzzy norm is of Bag and ...product space (IFIP-space) and introduce the definition of ... See full document
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