Maximum norm error estimates in the finite element method with isoparametric quadratic elements and numerical integration
Maximum-norm resolvent estimates for elliptic finite element operators on nonquasiuniform triangulations
In recent years several papers have been devoted to stability and smoothing properties in maximum-norm of finite element discretizations of parabolic problems. Using the theory of analytic semigroups it has been possible to rephrase such properties as bounds for the resolvent of the associated discrete elliptic operator. In all these cases the triangulations of the spatial domain has been assumed to be quasiuniform. In the present paper we show a resolvent estimate, in one and two space dimensions,...
Maximum-norm resolvent estimates for elliptic finite element operators on nonquasiuniform triangulations
In recent years several papers have been devoted to stability and smoothing properties in maximum-norm of finite element discretizations of parabolic problems. Using the theory of analytic semigroups it has been possible to rephrase such properties as bounds for the resolvent of the associated discrete elliptic operator. In all these cases the triangulations of the spatial domain has been assumed to be quasiuniform. In the present paper we show a resolvent estimate, in one and two space dimensions, under...
Maximum-Norm Stability and Error Estimates in Galerkin Methods for Parabolic Equations in One Space Variable
Max-min interval systems of linear equations with bounded solution
Max-min algebra is an algebraic structure in which classical addition and multiplication are replaced by and , where . The notation represents an interval system of linear equations, where , are given interval matrix and interval vector, respectively, and a solution is from a given interval vector . We define six types of solvability of max-min interval systems with bounded solution and give necessary and sufficient conditions for them.
Max-separable equations and the set covering
Maxwell's equations with incident wave as a field source
Mean field limit for the one dimensional Vlasov-Poisson equation
We consider systems of particles in dimension one, driven by pair Coulombian or gravitational interactions. When the number of particles goes to infinity in the so called mean field scaling, we formally expect convergence towards the Vlasov-Poisson equation. Actually a rigorous proof of that convergence was given by Trocheris in [Tro86]. Here we shall give a simpler proof of this result, and explain why it implies the so-called “Propagation of molecular chaos”. More precisely, both results will...
Mean square approximation by optimal periodic interpolation
Following the research of Babuška and Práger, the author studies the approximation power of periodic interpolation in the mean square norm thus extending his own former results.
Mean-Square Discrepancies of the Hammersley and Zaremba Sequences for Arbitrary Radix.
Measures of fuzziness and operations with fuzzy sets.
We discuss the effects that the usual set theoretic and arithmetic operations with fuzzy sets and fuzzy numbers have with respect to the energies and entropies of the fuzzy sets connected and of the resulting fuzzy sets, and we also compare the entropies and energies of the results of several of those operations.
Measures of pseudorandomness of finite binary lattices, I. The measures , normality
Measuring and maintaining consistency: a hybrid FTF algorithm
Due to the versatility as well as its ease of implementation, the Fast Transversal Filters algorithm is attractive for many adaptive filtering applications. However, it is not widely used because of its undesirable tendency to diverge when operating in finite precision arithmetic. To compensate, modifications to the algorithm have been introduced that are either occasional (performed when a predefined condition(s) is violated) or structured as part of the normal update iteration. However, in neither...
Measuring the Irreversibility of Numerical Schemes for Reversible Stochastic Differential Equations
For a stationary Markov process the detailed balance condition is equivalent to the time-reversibility of the process. For stochastic differential equations (SDE’s), the time discretization of numerical schemes usually destroys the time-reversibility property. Despite an extensive literature on the numerical analysis for SDE’s, their stability properties, strong and/or weak error estimates, large deviations and infinite-time estimates, no quantitative results are known on the lack of reversibility...
Measuring the performance for parallel matrix multiplication algorithm.
Medical image – based computational model of pulsatile flow in saccular aneurisms
Saccular aneurisms, swelling of a blood vessel, are investigated in order (i) to estimate the development risk of the wall lesion, before and after intravascular treatment, assuming that the pressure is the major factor, and (ii) to better plan medical interventions. Numerical simulations, using the finite element method, are performed in three-dimensional aneurisms. Computational meshes are derived from medical imaging data to take into account both between-subject and within-subject anatomical...
Medical image – based computational model of pulsatile flow in saccular aneurisms
Saccular aneurisms, swelling of a blood vessel, are investigated in order (i) to estimate the development risk of the wall lesion, before and after intravascular treatment, assuming that the pressure is the major factor, and (ii) to better plan medical interventions. Numerical simulations, using the finite element method, are performed in three-dimensional aneurisms. Computational meshes are derived from medical imaging data to take into account both between-subject and within-subject anatomical...
Medidas de incertidumbre asociadas a J-divergencias.
En este trabajo se presenta la familia de medidas de incertidumbre asociadas a J-divergencias, que resultan de la distancia entre una distribución y la distribución en la que todos los procesos son equiprobables. Se estudian propiedades teóricas de la familia atendiendo a la pérdida de incertidumbre, a la concavidad y a la condición de medida decisiva. Finalmente se compara a nivel muestral la medida de incertidumbre definida por la función φ(t) = -t log t con las medidas de entropía comúnmente...
Mehrdimensionale Hermite-Interpolation und numerische Integration.
Mellin analysis of singular and non-linear PDE's