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Simplicial Algorithms for Minimizing Polyhedral Functions

Polyhedral functions provide a model for an important class of problems that includes both linear programming and applications in data;

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Simplicial Algorithms for Minimizing Polyhedral Functions

Polyhedral functions provide a model for an important class of problems that includes both linear programming and applications in data;

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Constructive Real Analysis

This text introduces the methods of applied functional analysis and applied convexity. Suitable for advanced undergraduates and graduate;

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Nagata Patch Interpolation Algorithms

quantitative analysis are also presented. Finally, some guidelines for polyhedral mesh generation are proposed, in order to render accurate Nagata;

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Simplicial Global Optimization

Simplicial Global Optimization is centered on deterministic covering methods partitioning feasible region by simplices. This book looks;

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Optimization for Data Analysis

optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This;

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Submodular Functions and Optimization

of submodular functionsSelected up-to-date materials substantial to future developmentsPolyhedral description of Discrete Convex;

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Algorithms and Discrete Applied Mathematics

deal with the following areas: algorithms, graph theory, codes, polyhedral combinatorics, computational geometry, and discrete geometry.;

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Minimizing Dynamic and Higher Order Energy Functions Using Graph Cuts

algorithm for minimizing such functions will be presented. This algorithm reuses computation from previous problem instances to solve new instances;

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Discrete Morse Theory

introduction to the subject. Since the book restricts the study of discrete Morse theory to abstract simplicial complexes, a course in mathematical;

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Simplicial Objects in Algebraic Topology

Since it was first published in 1967, Simplicial Objects in Algebraic Topology has been the standard reference for the theory of simplicial;

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Simplicial Complexes In Complex Systems

of complex systems. After introducing the main definitions and properties of simplicial complexes necessary for representation and analysis;

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Variational Principles for Discrete Surfaces

on using analytic methods in the study of some of the fundamental results and problems of polyhedral geometry: for instance, the Cauchy;

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Delaunay Mesh Generation

algorithms for constructing Delaunay triangulations. The authors then present algorithms for generating high-quality meshes in polygonal and;

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Some Tapas of Computer Algebra

of polynomials, integer programming, permutation groups, differential equations, coding theory, automatic theorem proving, and polyhedral geometry. This;

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Optimization

sequence for a saddle-point problem, and deals more with algorithms in optimization. It focuses on the multiple exchange algorithm in convex;

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Simplicial Homotopy Theory

Since the beginning of the modern era of algebraic topology, simplicial methods have been used systematically and effectively for both;

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Algebraic Systems and Computational Complexity Theory

simplicial and continuation methods applied to the solution of algebraic equations. The contents are divided into eight chapters. Chapters 1 and 2;

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Computational Algebraic Geometry

to pose, study and solve problems that were previously out of reach. Suitable for graduate students, the objective of this 2003 book is to;

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Computational Algebraic Geometry

to pose, study and solve problems that were previously out of reach. Suitable for graduate students, the objective of this 2003 book is to;

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Monomial Algebras

Monomial Algebras, Second Edition presents algebraic, combinatorial, and computational methods for studying monomial algebras and their;

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Monomial Algebras

Monomial Algebras, Second Edition presents algebraic, combinatorial, and computational methods for studying monomial algebras and their;

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Simplicial Homotopy Theory

Since the beginning of the modern era of algebraic topology, simplicial methods have been used systematically and effectively for both;

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Algebraic Topology

Introduces the first concepts of Algebraic Topology, such as general simplicial complexes, simplicial homology theory, fundamental groups;

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Iterative Methods In Combinatorial Optimization

With the advent of approximation algorithms for NP-hard combinatorial optimization problems, several techniques from exact optimization;

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Iterative Methods in Combinatorial Optimization

With the advent of approximation algorithms for NP-hard combinatorial optimization problems, several techniques from exact optimization;

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Clustering and Neural Network Approaches for General NN-Simulator

describe the analysis on noise data i.e. preclassification for robust model development. The better choice of cluster are forming by Euclidean;

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