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An Easy Path to Convex Analysis and Applications

is to provide an easy access to the most fundamental parts of convex analysis and its applications to optimization. Modern techniques;

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Convex Functional Analysis and Applications

minimum of the theory required to understand the principles of functional, convex and set-valued analysis is presented. Numerous examples and;

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Discrete Convex Analysis

theory and applications of discrete convex analysis.;

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Elements of Concave Analysis and Applications

Concave analysis deals mainly with concave and quasi-concave functions, although convex and quasi-convex functions are considered because;

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Nonsmooth Mechanics and Convex Optimization

intends to get an authoritative and state-of-art description for the analysis of nonsmooth mechanics problems with theory and tools from convex;

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Nonsmooth Mechanics and Convex Optimization

intends to get an authoritative and state-of-art description for the analysis of nonsmooth mechanics problems with theory and tools from convex;

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Lectures on Modern Convex Optimization

Here is a book devoted to well-structured and thus efficiently solvable convex optimization problems, with emphasis on conic quadratic and;

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Convex Analysis

mathematical analysis that is especially suited to the study of optimization problems. Rockafellar's theory differs from classical analysis in that;

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Locally Convex Quasi *-Algebras and Their Representations

*-algebras, their spectral theory and a study of the structure of locally convex quasi *-algebras. Special attention is given to the case where the;

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Convexity and Concentration

. This book will be of use to those who research convex geometry, geometric analysis and probability directly or apply such methods in other;

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Fundamentals of Convex Analysis

Wissenschaften Vol. 305 and 306). It presents an introduction to the basic concepts in convex analysis and a study of convex minimization problems (with;

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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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Constructive Real Analysis

integral equations. Students should be familiar with advanced calculus and linear algebra. As an introduction to elementary functional analysis;

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Convex Analysis and Variational Problems

programming in the context of convex analysis, including duality, minmax and Lagrangians, and convexification of nonconvex optimization problems;

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Selected Applications of Convex Optimization

processes are presented in detail to aid in comprehension. The book offers concrete guidance, helping readers recognize and formulate convex;

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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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Even Convexity and Optimization

convex sets. The book introduces their application to convex optimization. Particular attention is paid to evenly convex polyhedra and finite;

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Even Convexity and Optimization

convex sets. The book introduces their application to convex optimization. Particular attention is paid to evenly convex polyhedra and finite;

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Nonlinear Functional Analysis & Applications

This book reviews recent topics on the areas of fixed point theory, convex and set-valued analysis, variational inequality and;

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Topological Vector Spaces and Their Applications

. The target readership includes mathematicians and physicists whose research is related to infinite-dimensional analysis.;

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Nonlinear Functional Analysis & Applications

This book reviews recent topics on the areas of fixed point theory, convex and set-valued analysis, variational inequality and;

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Nonlinear Functional Analysis & Applications

This book reviews topics on the areas of fixed point theory, convex and set-valued analysis, variational inequality and complementarity;

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Geometric Applications of Fourier Series and Spherical Harmonics

projections and intersections by hyperplanes or half-spaces and characterisations of rotors in convex polytopes. Again, full proofs are given. To make;

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Geometric Applications of Fourier Series and Spherical Harmonics

projections and intersections by hyperplanes or half-spaces and characterisations of rotors in convex polytopes. Again, full proofs are given. To make;

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Cambridge Tracts in Mathematics

functions and an outline of the results of transformations and combinations of convex sets. It will be useful for those concerned with the many;

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Convex Optimization for Signal Processing and Communications

Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications provides fundamental background knowledge;

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Convex Optimization for Signal Processing and Communications

Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications provides fundamental background knowledge;

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