Modèles d'optimisation en analyse des données relationnelles
Modeling contours of trivariate data
Modélisation et optimisation numérique pour la reconstruction d'un polyèdre à partir de son image gaussienne généralisée
Modellazione con curve e superfici p-spline
Modifications of Newton-Cotes formulas for computation of repeated integrals and derivatives
Standard algorithms for numerical integration are defined for simple integrals. Formulas for computation of repeated integrals and derivatives for equidistant domain partition based on modified Newton-Cotes formulas are derived. We compare usage of the new formulas with the classical quadrature formulas and discuss possible application of the results to solving higher order differential equations.
Modified Gauss-Legendre, Lobatto and Radau cubature formulas for the numerical evaluation of 2-D singular integrals.
Modified optimal quadrature extensions.
Modified Specht's plate bending element and its convergence analysis.
Moment computation in shift invariant spaces.
Moment preserving spline approximation finite intervals and Chakalov-Popoviciu quadratures.
Moment-Preserving Spline Approximation on Finite Intervals.
Monosplines and inequalities for the remainder term of quadrature formulas.
Monotonicity and Error Bounds in Schemes of Romberg Type for the Computation of f(n) (0) by Central Differences and Extrapolation.
Monotonicity of Quadrature Formulae of Gauss Type and Comparison Theorems for Monosplines.
Monotony in Interpolatory Quadratures.
More Curved Spirolaterals
Morley finite element analysis for fourth-order elliptic equations under a semi-regular mesh condition
We present a precise anisotropic interpolation error estimate for the Morley finite element method (FEM) and apply it to fourth-order elliptic equations. We do not impose the shape-regularity mesh condition in the analysis. Anisotropic meshes can be used for this purpose. The main contributions of this study include providing a new proof of the term consistency. This enables us to obtain an anisotropic consistency error estimate. The core idea of the proof involves using the relationship between...
Multi regional state space systems -- controller design and stability
Multichannel deblurring of digital images
Blur is a common problem that limits the effective resolution of many imaging systems. In this article, we give a general overview of methods that can be used to reduce the blur. This includes the classical multi-channel deconvolution problems as well as challenging extensions to spatially varying blur. The proposed methods are formulated as energy minimization problems with specific regularization terms on images and blurs. Experiments on real data illustrate very good and stable performance of...
Multidimensional smoothing using hyperbolic interpolatory wavelets.