000			05437nam a22005415i 4500
001			978-3-540-46551-5
003			DE-He213
005			20161121231128.0
007			cr nn 008mamaa
008			100301s2007 gw | s |||| 0|eng d
020			_a9783540465515 _9978-3-540-46551-5
024	7		_a10.1007/978-3-540-46551-5 _2doi
050		4	_aT57-57.97
072		7	_aPBW _2bicssc
072		7	_aMAT003000 _2bisacsh
082	0	4	_a519 _223
245	1	0	_aAlgorithms for Approximation _h[electronic resource] : _bProceedings of the 5th International Conference, Chester, July 2005 / _cedited by Armin Iske, Jeremy Levesley.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2007.
300			_aXIII, 389 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aImaging and Data Mining -- Ranking as Function Approximation -- Two Algorithms for Approximation in Highly Complicated Planar Domains -- Computational Intelligence in Clustering Algorithms, With Applications -- Energy-Based Image Simplification with Nonlocal Data and Smoothness Terms -- Multiscale Voice Morphing Using Radial Basis Function Analysis -- Associating Families of Curves Using Feature Extraction and Cluster Analysis -- Numerical Simulation -- Particle Flow Simulation by Using Polyharmonic Splines -- Enhancing SPH using Moving Least-Squares and Radial Basis Functions -- Stepwise Calculation of the Basin of Attractionin Dynamical Systems Using Radial Basis Functions -- Integro-Differential Equation Models and Numerical Methods for Cell Motility and Alignment -- Spectral Galerkin Method Applied to Some Problems in Elasticity -- Statistical Approximation Methods -- Bayesian Field Theory Applied to Scattered Data Interpolation and Inverse Problems -- Algorithms for Structured Gauss-Markov Regression -- Uncertainty Evaluation in Reservoir Forecasting by Bayes Linear Methodology -- Data Fitting and Modelling -- Integral Interpolation -- Shape Control in Powell-Sabin Quasi-Interpolation -- Approximation with Asymptotic Polynomials -- Spline Approximation Using Knot Density Functions -- Neutral Data Fitting by Lines and Planes -- Approximation on an Infinite Range to Ordinary Differential Equations Solutions by a Function of a Radial Basis function -- Weighted Integrals of Polynomial Splines -- Differential and Integral Equations -- On Sequential Estimators for Affine Stochastic Delay Differential Equations -- Scalar Periodic Complex Delay Differential Equations: Small Solutions and their Detection -- Using Approximations to Lyapunov Exponents to Predict Changes in Dynamical Behaviour in Numerical Solutions to Stochastic Delay Differential Equations -- Superconvergence of Quadratic Spline Collocation for Volterra Integral Equations -- Special Functions and Approximation on Manifolds -- Asymptotic Approximations to Truncation Errors of Series Representations for Special Functions -- Strictly Positive Definite Functions on Generalized Motion Groups -- Energy Estimates and the Weyl Criterion on Compact Homogeneous Manifolds -- Minimal Discrete Energy Problems and Numerical Integration on Compact Sets in Euclidean Spaces -- Numerical Quadrature of Highly Oscillatory Integrals Using Derivatives.
520			_aApproximation methods are vital in many challenging applications of computational science and engineering. This is a collection of papers from world experts in a broad variety of relevant applications, including pattern recognition, machine learning, multiscale modelling of fluid flow, metrology, geometric modelling, tomography, signal and image processing. It documents recent theoretical developments which have lead to new trends in approximation, it gives important computational aspects and multidisciplinary applications, thus making it a perfect fit for graduate students and researchers in science and engineering who wish to understand and develop numerical algorithms for the solution of their specific problems. An important feature of the book is that it brings together modern methods from statistics, mathematical modelling and numerical simulation for the solution of relevant problems, with a wide range of inherent scales. Contributions of industrial mathematicians, including representatives from Microsoft and Schlumberger, foster the transfer of the latest approximation methods to real-world applications.
650		0	_aMathematics.
650		0	_aComputer science _xMathematics.
650		0	_aApproximation theory.
650		0	_aSpecial functions.
650		0	_aApplied mathematics.
650		0	_aEngineering mathematics.
650		0	_aComputer mathematics.
650	1	4	_aMathematics.
650	2	4	_aApplications of Mathematics.
650	2	4	_aComputational Mathematics and Numerical Analysis.
650	2	4	_aApproximations and Expansions.
650	2	4	_aSpecial Functions.
650	2	4	_aMathematics of Computing.
650	2	4	_aAppl.Mathematics/Computational Methods of Engineering.
700	1		_aIske, Armin. _eeditor.
700	1		_aLevesley, Jeremy. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540332831
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-540-46551-5
912			_aZDB-2-SMA
950			_aMathematics and Statistics (Springer-11649)
999			_c509037 _d509037