دانلود کتاب خارجی - دانلود رایگان کتاب لاتین PDF علمی

تعداد نتایج: 2633

Banach Spaces and their Applications in Analysis

In Honor of Nigel Kalton's 60th Birthday

By Beata Randrianantoanina, Narcisse Randrianantoanina
Publisher: Walter de Gruyter, 2011-12-22
Pages: 465
Language: en
ISBN_13:9783110918298
ISBN_10:3110918293
Subject: Mathematics

Greedy Approximation

جزئیات و درخواست

By Vladimir Temlyakov
Publisher: Cambridge University Press, 2011-09-08
Pages: 433
Language: en
ISBN_13:9781139502801
ISBN_10:1139502808
Subject: Computers

Sparse Approximation with Bases

جزئیات و درخواست

By Vladimir Temlyakov
Publisher: Birkhäuser, 2015-03-27
Pages: 271
Language: en
ISBN_13:9783034808903
ISBN_10:3034808909
Subject: Mathematics

Hyperbolic Cross Approximation

جزئیات و درخواست

By Dinh Dũng, Vladimir Temlyakov, Tino Ullrich
Publisher: Springer, 2018-11-02
Pages: 222
Language: en
ISBN_13:9783319922409
ISBN_10:3319922408
Subject: Mathematics

Topics in Classical Analysis and Applications in Honor of Daniel Waterman

جزئیات و درخواست

By Laura De Carli, Kazaros Kazarian, Mario Milman
Publisher: World Scientific, 2008
Pages: 202
Language: en
ISBN_13:9789812834430
ISBN_10:9812834435
Subject: Mathematics

Monte Carlo and Quasi-Monte Carlo Methods

MCQMC, Leuven, Belgium, April 2014

جزئیات و درخواست

By Ronald Cools, Dirk Nuyens
Publisher: Springer, 2016-06-13
Pages: 624
Language: en
ISBN_13:9783319335070
ISBN_10:3319335073
Subject: Mathematics

Partial Differential Equation Methods for Image Inpainting

جزئیات و درخواست

By Carola-Bibiane Schönlieb
Publisher: Cambridge University Press, 2015-10-26
Pages: 265
Language: en
ISBN_13:9781107001008
ISBN_10:1107001005
Subject: Computers

Topics in Classical and Modern Analysis

In Memory of Yingkang Hu

جزئیات و درخواست

By Martha Abell, Emil Iacob, Alex Stokolos, Sharon Taylor, Sergey Tikhonov
Publisher: Springer Nature, 2019-10-21
Pages: 384
Language: en
ISBN_13:9783030122775
ISBN_10:3030122778
Subject: Mathematics

Sparse Polynomial Approximation of High-Dimensional Functions

جزئیات و درخواست

By Ben Adcock , Simone Brugiapaglia, Clayton G. Webster
Publisher: SIAM, 2022-02-16
Pages: 310
Language: en
ISBN_13:9781611976885
ISBN_10:161197688X
Subject: Mathematics

Tạp Chí Toán Học

جزئیات و درخواست

By Hội Toán học Việt Nam, Trung tâm khoa học tự nhiên và công nghệ quốc gia (Vietnam)
Publisher: Dr. Vuong Quan Hoang,
Pages: 21
Language: en
ISSN:08667179
Subject: Mathematics

Proceedings of the International Congress of Mathematicians

August 3–11, 1994 Zürich, Switzerland

جزئیات و درخواست

By S.D. Chatterji
Publisher: Birkhäuser, 2012-12-06
Pages: 1669
Language: en
ISBN_13:9783034890786
ISBN_10:3034890788
Subject: Mathematics

Modern developments in multivariate approximation

5th international conference, Witten-Bommerholtz (Germany), ...

جزئیات و درخواست

By Werner Haussmann
Publisher: Springer Science & Business Media, 2003-10-24
Pages: 324
Language: en
ISBN_10:3764321954
ISBN_13:9783764321956
Subject: Mathematics

Difference Equations by Differential Equation Methods

جزئیات و درخواست

By Peter E. Hydon
Publisher: Cambridge University Press, 2014-08-07
Pages: 223
Language: en
ISBN_13:9780521878524
ISBN_10:0521878527
Subject: Mathematics

New Trends in Applied Harmonic Analysis

Sparse Representations, Compressed Sensing, and Multifractal...

$This volume is a selection of written notes corresponding to courses taught at the CIMPA School: "New Trends in Applied Harmonic Analysis: Sparse Representations, Compressed Sensing and Multifractal Analysis". New interactions between harmonic analysis and signal and image processing have seen striking development in the last 10 years, and several technological deadlocks have been solved through the resolution of deep theoretical problems in harmonic analysis. New Trends in Applied Harmonic Analysis focuses on two particularly active areas that are representative of such advances: multifractal analysis, and sparse representation and compressed sensing. The contributions are written by leaders in these areas, and cover both theoretical aspects and applications. This work should prove useful not only to PhD students and postdocs in mathematics and signal and image processing, but also to researchers working in related topics.$

جزئیات و درخواست

By Akram Aldroubi, Carlos Cabrelli, Stephane Jaffard, Ursula Molter
Publisher: Birkhäuser, 2016-04-21
Pages: 356
Language: en
ISBN_13:9783319278735
ISBN_10:3319278738
Subject: Mathematics

Convex Optimization & Euclidean Distance Geometry

$The study of Euclidean distance matrices (EDMs) fundamentally asks what can be known geometrically given onlydistance information between points in Euclidean space. Each point may represent simply locationor, abstractly, any entity expressible as a vector in finite-dimensional Euclidean space.The answer to the question posed is that very much can be known about the points;the mathematics of this combined study of geometry and optimization is rich and deep.Throughout we cite beacons of historical accomplishment.The application of EDMs has already proven invaluable in discerning biological molecular conformation.The emerging practice of localization in wireless sensor networks, the global positioning system (GPS), and distance-based pattern recognitionwill certainly simplify and benefit from this theory.We study the pervasive convex Euclidean bodies and their various representations.In particular, we make convex polyhedra, cones, and dual cones more visceral through illustration, andwe study the geometric relation of polyhedral cones to nonorthogonal bases biorthogonal expansion.We explain conversion between halfspace- and vertex-descriptions of convex cones,we provide formulae for determining dual cones,and we show how classic alternative systems of linear inequalities or linear matrix inequalities and optimality conditions can be explained by generalized inequalities in terms of convex cones and their duals.The conic analogue to linear independence, called conic independence, is introducedas a new tool in the study of classical cone theory; the logical next step in the progression:linear, affine, conic.Any convex optimization problem has geometric interpretation.This is a powerful attraction: the ability to visualize geometry of an optimization problem.We provide tools to make visualization easier.The concept of faces, extreme points, and extreme directions of convex Euclidean bodiesis explained here, crucial to understanding convex optimization.The convex cone of positive semidefinite matrices, in particular, is studied in depth.We mathematically interpret, for example,its inverse image under affine transformation, and we explainhow higher-rank subsets of its boundary united with its interior are convex.The Chapter on "Geometry of convex functions",observes analogies between convex sets and functions:The set of all vector-valued convex functions is a closed convex cone.Included among the examples in this chapter, we show how the real affinefunction relates to convex functions as the hyperplane relates to convex sets.Here, also, pertinent results formultidimensional convex functions are presented that are largely ignored in the literature;tricks and tips for determining their convexityand discerning their geometry, particularly with regard to matrix calculus which remains largely unsystematizedwhen compared with the traditional practice of ordinary calculus.Consequently, we collect some results of matrix differentiation in the appendices.The Euclidean distance matrix (EDM) is studied,its properties and relationship to both positive semidefinite and Gram matrices.We relate the EDM to the four classical axioms of the Euclidean metric;thereby, observing the existence of an infinity of axioms of the Euclidean metric beyondthe triangle inequality. We proceed byderiving the fifth Euclidean axiom and then explain why furthering this endeavoris inefficient because the ensuing criteria (while describing polyhedra)grow linearly in complexity and number.Some geometrical problems solvable via EDMs,EDM problems posed as convex optimization, and methods of solution arepresented;\eg, we generate a recognizable isotonic map of the United States usingonly comparative distance information (no distance information, only distance inequalities).We offer a new proof of the classic Schoenberg criterion, that determines whether a candidate matrix is an EDM. Our proofrelies on fundamental geometry; assuming, any EDM must correspond to a list of points contained in some polyhedron(possibly at its vertices) and vice versa.It is not widely known that the Schoenberg criterion implies nonnegativity of the EDM entries; proved here.We characterize the eigenvalues of an EDM matrix and then devisea polyhedral cone required for determining membership of a candidate matrix(in Cayley-Menger form) to the convex cone of Euclidean distance matrices (EDM cone); \ie,a candidate is an EDM if and only if its eigenspectrum belongs to a spectral cone for EDM^N.We will see spectral cones are not unique.In the chapter "EDM cone", we explain the geometric relationship betweenthe EDM cone, two positive semidefinite cones, and the elliptope.We illustrate geometric requirements, in particular, for projection of a candidate matrixon a positive semidefinite cone that establish its membership to the EDM cone. The faces of the EDM cone are described,but still open is the question whether all its faces are exposed as they are for the positive semidefinite cone.The classic Schoenberg criterion, relating EDM and positive semidefinite cones, isrevealed to be a discretized membership relation (a generalized inequality, a new Farkas''''''''-like lemma)between the EDM cone and its ordinary dual. A matrix criterion for membership to the dual EDM cone is derived thatis simpler than the Schoenberg criterion.We derive a new concise expression for the EDM cone and its dual involvingtwo subspaces and a positive semidefinite cone."Semidefinite programming" is reviewedwith particular attention to optimality conditionsof prototypical primal and dual conic programs,their interplay, and the perturbation method of rank reduction of optimal solutions(extant but not well-known).We show how to solve a ubiquitous platonic combinatorial optimization problem from linear algebra(the optimal Boolean solution x to Ax=b)via semidefinite program relaxation.A three-dimensional polyhedral analogue for the positive semidefinite cone of 3X3 symmetricmatrices is introduced; a tool for visualizing in 6 dimensions.In "EDM proximity"we explore methods of solution to a few fundamental and prevalentEuclidean distance matrix proximity problems; the problem of finding that Euclidean distance matrix closestto a given matrix in the Euclidean sense.We pay particular attention to the problem when compounded with rank minimization.We offer a new geometrical proof of a famous result discovered by Eckart \& Young in 1936 regarding Euclideanprojection of a point on a subset of the positive semidefinite cone comprising all positive semidefinite matriceshaving rank not exceeding a prescribed limit rho.We explain how this problem is transformed to a convex optimization for any rank rho.$

جزئیات و درخواست

By Jon Dattorro
Publisher: Meboo Publishing USA, 2005
Pages: 776
Language: en
ISBN_13:9780976401308
ISBN_10:0976401304
Subject: Mathematics

A Mathematical Introduction to Compressive Sensing

جزئیات و درخواست

By Simon Foucart, Holger Rauhut
Publisher: Springer Science & Business Media, 2013-08-13
Pages: 634
Language: en
ISBN_13:9780817649487
ISBN_10:0817649484
Subject: Computers

Multiscale Methods for Fredholm Integral Equations

جزئیات و درخواست

By Zhongying Chen, Charles A. Micchelli, Yuesheng Xu
Publisher: Cambridge University Press, 2015-07-16
Pages: 551
Language: en
ISBN_13:9781107103474
ISBN_10:1107103479
Subject: Mathematics

Volterra Integral Equations

An Introduction to Theory and Applications

جزئیات و درخواست

By Hermann Brunner
Publisher: Cambridge University Press, 2017-01-20
Pages: 405
Language: en
ISBN_13:9781107098725
ISBN_10:1107098726
Subject: Mathematics

Symmetry, Phase Modulation and Nonlinear Waves

جزئیات و درخواست

By Thomas J. Bridges
Publisher: Cambridge University Press, 2017-07-03
Pages: 239
Language: en
ISBN_13:9781107188846
ISBN_10:1107188849
Subject: Mathematics

Sparse and Redundant Representations

From Theory to Applications in Signal and Image Processing

جزئیات و درخواست

By Michael Elad
Publisher: Springer Science & Business Media, 2010-08-12
Pages: 376
Language: en
ISBN_13:9781441970114
ISBN_10:1441970118
Subject: Mathematics

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