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Intersection and Decomposition Algorithms for Planar Arrangements

sequences, a technique for obtaining optimal bounds for numerous algorithmic problems. Then the intersection problem is treated. The final problem;

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Intersection and Decomposition Algorithms for Planar Arrangements

sequences, a technique for obtaining optimal bounds for numerous algorithmic problems. Then the intersection problem is treated. The final problem;

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Computational Geometry in C

location, 3D convex hull construction, intersection algorithms for ray-segment and ray-triangle, and point-in-polyhedron. The code in this edition;

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Beyond Planar Graphs

data sets are relational and can be modelled as graphs consisting of vertices and edges. Planar graphs are fundamental for both graph theory;

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Stochastic Linear Programming Algorithms

. The following methods are considered: regularized decomposition, stochastic decomposition and successive discrete approximation methods for;

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Advances in Planar Lipid Bilayers and Liposomes

Advances in Planar Lipid Bilayers and Liposomes volumes cover a broad range of topics, including main arrangements of the reconstituted;

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Advances in Planar Lipid Bilayers and Liposomes

Advances in Planar Lipid Bilayers and Liposomes cover a broad range of topics, including main arrangements of the reconstituted system;

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Planar Graph Drawing

The book presents the important fundamental theorems and algorithms on planar graph drawing with easy-to-understand and constructive proofs;

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Domain Decomposition

This book presents an easy-to-read discussion of domain decomposition algorithms, their implementation and analysis. The relationship;

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Tribute To Marin D. Mitov

Advances in Planar Lipid Bilayers and Liposomes volumes cover a broad range of topics, including main arrangements of the reconstituted;

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Video Surveillance For Sensor Platforms

This book introduces resource aware image decomposition, registration, fusion, object detection and tracking algorithms along with their;

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Matroid Decomposition

technique for establishing basic connectivity relationships and certain results about the intersection and partitioning of matroids; an algorithm;

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Domain Decomposition Methods for Non-Conforming Finite Discretizations

Domain decomposition refers to numerical methods for obtaining solutions of scientific and engineering problems by combining solutions to;

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Straight-Line Grid Drawings of Planar Graphs

of graphs. Smaller area of a drawing increases the readability of the drawing. Compact drawing of a circuit is preferable for VLSI fabrication since;

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Advances in Planar Lipid Bilayers and Liposomes

Advances in Planar Lipid Bilayers and Liposomes, Volume 8, is the latest in our series on both planar lipid bilayers and spherical;

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An Introduction to Domain Decomposition Methods

Domain decomposition methods are widely used for numerical simulations on parallel machines from tens to hundreds of thousands of cores;

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Geometric Spanner Networks

many applications, practical and theoretical. The authors present rigorous descriptions of the main algorithms and their analyses for different;

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DirichletDirichlet Domain Decomposition Methods for Elliptic Problems

Domain decomposition (DD) methods provide powerful tools for constructing parallel numerical solution algorithms for large scale systems;

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Advances in Planar Lipid Bilayers and Liposomes

Advances in Planar Lipid Bilayers and Liposomes, Volume 6, continues to include invited chapters on a broad range of topics, covering;

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Computer Algebra and Symbolic Computation

automatic simplification, polynomial decomposition, and polynomial factorization. This book includes complexity analysis of algorithms and other;

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Computer Algebra and Symbolic Computation

automatic simplification, polynomial decomposition, and polynomial factorization. This book includes complexity analysis of algorithms and other;

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Computer Algebra and Symbolic Computation

automatic simplification, polynomial decomposition, and polynomial factorization. This book includes complexity analysis of algorithms and other;

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Handbook of Robust Low-Rank and Sparse Matrix Decomposition

learning and tracking by decomposition into low-rank and sparse matrices provide a suitable framework for computer vision applications;

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Lossy Image Compression

decomposition based algorithms using image quality measures and study of various quality measures for gray scale image compression; compression;

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Data Structures and Algorithms in Java

of encapsulation and decomposition. Finally, the book closely examines data structure implementation. Overall, this practical and theoretical book prepares;

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Data Clustering and Image Segmentation Through Genetic Algorithms

mining, computer vision, image processing, and pattern recognition, as well as methods of designing competent algorithms based on decomposition;

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Color Image Watermarking

This book presents watermarking algorithms derived from signal processing methods such as wavelet transform, matrix decomposition and;

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