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Convex Optimization & Euclidean Distance Geometry

attraction: the ability to visualize geometry of an optimization problem. Conversely, recent advances in geometry hold convex optimization within;

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Convex Optimization Euclidean Distance Geometry 2e

Convex Analysis is an emerging calculus of inequalities while Convex Optimization is its application. Analysis is the domain of the;

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Selected Topics in Convex Geometry

Examines in detail those topics in convex geometry that are concerned with Euclidean space Enriched by numerous examples;

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Lectures On Convex Sets

n-dimensional Euclidean space. Topics under consideration include general properties of convex sets and convex hulls, cones and conic hulls;

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Lectures On Convex Sets

n-dimensional Euclidean space. Topics under consideration include general properties of convex sets and convex hulls, cones and conic hulls;

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Lectures on Convex Geometry

This book provides a self-contained introduction to convex geometry in Euclidean space. After covering the basic concepts and results, it;

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Lectures on Convex Geometry

This book provides a self-contained introduction to convex geometry in Euclidean space. After covering the basic concepts and results, it;

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Lectures on Convex Sets

Euclidean space. It benefits advanced undergraduate and graduate students with various majors in mathematics, optimization, and operations research;

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Taxicab Geometry

This entertaining, stimulating textbook offers anyone familiar with Euclidean geometry &; undergraduate math students, advanced high;

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Convex Functions

of mathematics, both pure and applied. It ties together notions from topology, algebra, geometry and analysis, and is an important tool in optimization;

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Cambridge Tracts in Mathematics

This account of convexity includes the basic properties of convex sets in Euclidean space and their applications, the theory of convex;

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Australian Mathematical Society Lecture Series

on linear algebra and Euclidean geometry, the author then applies this theory with an introduction to linear programming. There follows a;

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Geometry of Convex Sets

A gentle introduction to the geometry of convex sets in n -dimensional space Geometry of Convex Sets begins with basic definitions of the;

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Geometric Methods and Applications

, robotics, or machine learning. This book covers the following topics: affine geometry, projective geometry, Euclidean geometry, convex sets;

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Minkowski Geometry

Minkowski geometry is a type of non-Euclidean geometry in a finite number of dimensions in which distance is not 'uniform' in all;

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Geometric Methods and Optimization Problems

demonstrate how methods and topics from convex geometry in a wider sense (separation theory of convex cones, Minkowski geometry, convex partitionings;

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The Volume of Convex Bodies and Banach Space Geometry

Euclidean space and the geometry of the corresponding finite-dimensional normed spaces. The methods employ classical ideas from the theory of convex;

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Riemannian Optimization and Its Applications

optimization in Euclidean spaces and Riemannian geometry are included. Riemannian optimization is then introduced by merging these concepts;

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Bodies of Constant Width

convex geometry. It examines bodies of constant width from several points of view, and, in doing so, shows surprising connections between various;

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Introduction to Projective Geometry

geometry. Subsequent chapters explore Euclidean and non-Euclidean geometry as specializations of the projective plane, revealing the existence;

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Geometry

helps readers master Euclidean geometry, in preparation for non- Euclidean geometry. Focus on plane Euclidean geometry, reviewing high school;

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Optimality Conditions in Convex Optimization

Optimality Conditions in Convex Optimization explores an important and central issue in the field of convex optimization: optimality;

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Advancing Parametric Optimization

The theory presented in this work merges many concepts from mathematical optimization and real algebraic geometry. When unknown or;

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Totally Convex Functions for Fixed Points Computation and Infinite Dimensional Optimization

is presented, bringing together previously unrelated ideas from Banach space geometry, finite dimensional convex optimization and functional analysis;

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Recent Advances in Differential Geometry

The book narrates the saga of origin of geometry especially non-Euclidean and covers up to few generalizations of non-Euclidean geometry;

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Introduction to Toric Varieties. (AM-131), Volume 131

Toric varieties are algebraic varieties arising from elementary geometric and combinatorial objects such as convex polytopes in Euclidean;

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Integral Geometry and Valuations

. This original viewpoint not only enlightens the classical integral geometry of euclidean space, but it also allows the computation of kinematic;

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