دانلود کتاب خارجی - دانلود رایگان کتاب لاتین PDF علمی

تعداد نتایج: 120

AI based Robot Safe Learning and Control

By Xuefeng Zhou, Zhihao Xu, Shuai Li, Hongmin Wu, Taobo Cheng
Publisher: Springer Nature, 2020-06-02
Pages: 138
Language: en
ISBN_13:9789811555039
ISBN_10:9811555036
Subject: Technology & Engineering

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.$

چاپ کتاب PDF,

خرید کتاب از آمازون,

خرید کتاب زبان اصلی,

دانلود کتاب خارجی,

فایلسو

دانلود کتاب خارجی - خرید کتاب های لاتین

برای دانلود کتاب خارجی، دانلود کتاب لاتین، خرید کتاب لاتین، دانلود کتاب های خارجی ابتدا جستجو و سپس درخواست خود را ثبت کنید.

نحوه دانلود و خرید کتاب های خارجی

جستجو و دانلود کتاب لاتین

نحوه ثبت درخواست دانلود کتاب لاتین

خرید مجله اورجینال-

خرید کتاب کیندل-

تکست بوک اورجینال پزشکی-

چاپ افست کتاب-

افست کتاب زبان اصلی-

دانلود فایل های زبان اصلی شیمی تحلیلی-

انتشارات کتاب خارجی-

خرید کتاب فیزیکی از آمازون-

کتاب سالیدورک زبان اصلی-

پرداخت وجه کارت به کارت

خرید کتاب خارجی pdf-

جعبه هدیه کتاب-

خرید کتاب خارجی-

کتاب اورجینال-

چاپ کتاب آمازون-

افست کتاب لاتین-

خرید کتاب کاغذی از آمازون-

چاپ کتاب اورجینال-

چاپ کتاب لاتین-

کتب خلبانی زبان اصلی-

خرید کتاب زبان اصلی فیزیک کوانتومی-

کتاب های الکترونیک اورجینال-

هاردکپی کتاب های سخت افزار-

کتب چشم پزشکی زبان اصلی-

خرید کتاب زبان اصلی فیزیک-

خرید کتاب های زبان اصلی علم شیمی-

هاردکپی کتاب های سرمایه گذاری-

خرید منابع پزشکی اورجینال-

دانلود فایل های زبان اصلی بیماری های مغز و اعصاب-

دانلود فایل های زبان اصلی خودرو-

منابع اورجینال رباتیک-

خرید کتاب مکانیک زبان اصلی-

هاردکپی کتاب های دندانپزشکی-

منابع اورجینال پزشکی بالینی-

کتاب های پزشکی مولکولی اورجینال-

دانلود فایل های زبان اصلی ریاضی فیزیک-

خرید کتاب یوگا زبان اصلی-

منابع اورجینال الگوریتم و ساختمان داده-

خرید منابع مهندسی زبان اصلی-