Multivariate Inequalities of Kolmogorov Type and Their Applications.- Monotone Iterative Technique for Impulsive Differential-Difference Equations with Variable Impulsive Perturbations.- Multivariate Cosine Wavelets.- On Almost Interpolation by Multivariate Splines.- Locally Linearly Independent Systems and Almost Interpolation.- Exponential-Type Approximation in Multivariate Harmonic Hilbert Spaces.- Interpolation by Continuous Function Spaces.- Discrete Characterization of Besov Spaces and its Applications to Stochastics.- One-Sided Approximation and Interpolation Operators Generating Hyperbolic Sigma-Pi Neural Networks.- Unconstrained Minimization of Quadratic Splines and Applications.- Interpolation by Translates of a Basis function.- On the Sup-Norm Condition Number of the Multivariate Triangular Bernstein Basis.- Integration Methods of Clenshaw-Curtis Type, Based on Four Kinds of Chebyshev Polynomials.- Tensor Products of Convex Cones.- The Curse of Dimension and a Universal Method for Numerical Integration.- Interpolation by Bivariate Splines on Crosscut Partitions.- Necessary and Sufficient Conditions for Orthonormality of Scaling Vectors.- Trigonometric Preconditioners for Block Toeplitz Systems.- The Average Size of Certain Gram-Determinants and Interpolation on Non-Compact Sets.- Radial Basis Functions Viewed From Cubic Splines.- Wavelet Modelling of High Resolution Radar Imaging and Clinical Magnetic Resonance Tomography.- A New Interpretation of the Sampling Theorem and its Extensions.- Gridded Data Interpolation with Restrictions on the First Order Derivatives.- Affine Frames and Multiresolution.- List of Participants.
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This book contains the refereed papers which were presented at the international conference on multivariate approximation and splines held in Mannheim, Germany, on September 7-10, 1996. Fifty experts from Bulgaria, England, France, Israel, the Netherlands, Norway, Poland, Switzerland, Ukraine, the USA and Germany participated in the symposium. The manuscripts cover a variety of topics from the rapidly developing field of multivariate approximation, including interpolation, data fitting, splines, radial basis functions, neural networks, computer-aided design, wavelets, subdivision, optimization, differential equations and numerical integration. The research has applications in areas such as industrial production, visualization, image and signal processing, cognitive systems and modeling in medicine and natural sciences.
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