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Approximation on a rectangular grid

functions for the variational-difference method. It is based on elementary transformations .of the independent variables of given primitive;

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Evaluation of the Tricon Retained Soil Wall System

This report describes a HITEC evaluation designed to determine the basic capabilities and limitations of the Tricon System for use as a;

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FDTD Modeling of EM Field inside Microwave Cavities

This book deals with the EM analysis of closed microwave cavities based on a three-dimensional FDTD method. The EM analysis is carried out;

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Knitting Paper 4

Knitting paper is used to design knitting charts for new patterns. Our grid uses rectangular spaces rather than square to reflect the;

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Knitting Paper 4

Knitting paper is used to design knitting charts for new patterns. Our grid uses rectangular spaces rather than square to reflect the;

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Evaluation of the Vistawall MSE Structural Wall Systems

Systems for use as a technically viable, precast, mechanically stabilized earth (MSE) retaining wall system. The evaluation was conducted based on;

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Effects of 3D structured grids on computational modeling of flow

the result of a decrease in dimensions of grid cells to an extreme value; therefore, decreasing the dimensions of grid cells and increasing;

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Tensor Numerical Methods in Scientific Computing

coefficients. Contents Theory on separable approximation of multivariate functions Multilinear algebra and nonlinear tensor approximation;

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Combinatorial Optimization of Alternating Current Electric Power Systems

situations in presence of fluctuating demands and uncertain renewable energy. In the past, the operations of power grid relied on careful a-priori;

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Science and Civilisation in China

of scientific cartography and religious cosmography in East and West, discussing orbocentric wheel-maps, the origins of the rectangular grid system;

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Introduction to Grid Computing

A Thorough Overview of the Next Generation in Computing Poised to follow in the footsteps of the Internet, grid computing is on the;

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Introduction to Grid Computing

A Thorough Overview of the Next Generation in Computing Poised to follow in the footsteps of the Internet, grid computing is on the;

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Approximation Theory and Algorithms for Data Analysis

of approximation with recent advances in mathematical signal processing, and adopting a constructive approach, in which the development of numerical;

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Journal of Approximation Theory and Applied Mathematics - 2013 Vol. 1 and Vol. 2

: Approximation theory (with a focus on wavelets) and applications in mathematics like numerical analysis, statistics or financial mathematics. Contents;

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Approximation Theory XVI

papers on a variety of topics in approximation theory, including Balian-Low theorems, butterfly spline interpolation, cubature rules, Hankel and;

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Metric Diophantine Approximation on Manifolds

This 1999 book is concerned with Diophantine approximation on smooth manifolds embedded in Euclidean space, and its aim is to develop a;

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Grid Middleware and Services

premiere European event on Grid Computing. This book aims to strengthen and advance scientific and technological excellence in the area of Grid;

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Smart Grid Security

This book on smart grid security is meant for a broad audience from managers to technical experts. It highlights security challenges that;

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The Grid

Find out which technologies enable the Grid and how to employ them successfully! This invaluable text provides a complete, clear;

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The Grid

life to big cities and the most remote rural areas. Constructed of intricately interdependent components, the grid operates on a rapidly;

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Grid Computing

computing, the author focuses on Web services technologies and how they are adopted for Grid computing. He also discusses the advantages of using a;

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Grid Computing

of computational tasks visually using a simple drag-and-drop interface. The final chapter explains how to deploy applications on a Grid. The Grid;

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Multi-Agent Machine Learning

The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error;

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Sparse Approximation with Bases

This book systematically presents recent fundamental results on greedy approximation with respect to bases. Motivated by numerous;

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