Algunos aspectos numéricos de la ecuación deiferencial de Duffing
Alguns teoremas sobre a equivalência do problema do caixeiro viajante múltiplo ao problema do caixeiro viajante
All Bézier curves are attractors of iterated function systems.
All-at-once preconditioning in PDE-constrained optimization
The optimization of functions subject to partial differential equations (PDE) plays an important role in many areas of science and industry. In this paper we introduce the basic concepts of PDE-constrained optimization and show how the all-at-once approach will lead to linear systems in saddle point form. We will discuss implementation details and different boundary conditions. We then show how these system can be solved efficiently and discuss methods and preconditioners also in the case when bound...
Almost curvature continuous fitting of B-spline surfaces.
Almost Hermitian trigonometric interpolation on three equidistant nodes.
Almost optimal approximations of compact sets in Hilbert space
Alpha Well-Posedness, Alpha Stability, and the Matrix Theorems of H.-O. Kreiss.
Alternating direction Galerkin method with capacitance matrix for the parabolic problem with natural boundary condition
Alternating Iteration and Elliptic Variational Inequalities.
Alternating Methods for Sets of Linear Equations.
Alternating projected Barzilai-Borwein methods for nonnegative matrix factorization.
Alternation for Best Spline Approximations
Alternative models in precipitation analysis.
Altman's methods revisited
We discuss two different methods of Altman for solving systems of linear equations. These methods can be considered as Krylov subspace type methods for solving a projected counterpart of the original system. We discuss the link to classical Krylov subspace methods, and give some theoretical and numerical results on their convergence behavior.
Amélioration de la stabilité numérique d'algorithmes de résolution de programmes linéaires à matrices de contraintes clairsemées
A-monotone nonlinear relaxed cocoercive variational inclusions
Based on the notion of A - monotonicity, a new class of nonlinear variational inclusion problems is presented. Since A - monotonicity generalizes H - monotonicity (and in turn, generalizes maximal monotonicity), results thus obtained, are general in nature.
An a posteriori error analysis for dynamic viscoelastic problems
In this paper, a dynamic viscoelastic problem is numerically studied. The variational problem is written in terms of the velocity field and it leads to a parabolic linear variational equation. A fully discrete scheme is introduced by using the finite element method to approximate the spatial variable and an Euler scheme to discretize time derivatives. An a priori error estimates result is recalled, from which the linear convergence is derived under suitable regularity conditions. Then, an a posteriori...
An a posteriori error analysis for dynamic viscoelastic problems
In this paper, a dynamic viscoelastic problem is numerically studied. The variational problem is written in terms of the velocity field and it leads to a parabolic linear variational equation. A fully discrete scheme is introduced by using the finite element method to approximate the spatial variable and an Euler scheme to discretize time derivatives. An a priori error estimates result is recalled, from which the linear convergence is derived under suitable regularity conditions. Then, an a posteriori error...
An a posteriori error analysis of adaptive finite element methods for distributed elliptic control problems with control constraints
We present an a posteriori error analysis of adaptive finite element approximations of distributed control problems for second order elliptic boundary value problems under bound constraints on the control. The error analysis is based on a residual-type a posteriori error estimator that consists of edge and element residuals. Since we do not assume any regularity of the data of the problem, the error analysis further invokes data oscillations. We prove reliability and efficiency of the error estimator...