Linear least squares with quadratic constraints.
Linear Multistep Methods for a Class of Functional Differential Equations.
Linear perturbations of differential systems with constant matrices
Linear prediction: Mathematics and engineering.
Linear problems (with extended range) have linear optimal algorithms.
Linear scheme for finite element solution of nonlinear parabolic-elliptic problems with nonhomogeneous Dirichlet boundary condition
The computation of nonlinear quasistationary two-dimensional magnetic fields leads to a nonlinear second order parabolic-elliptic initial-boundary value problem. Such a problem with a nonhomogeneous Dirichlet boundary condition on a part of the boundary is studied in this paper. The problem is discretized in space by the finite element method with linear functions on triangular elements and in time by the implicit-explicit method (the left-hand side by the implicit Euler method and the right-hand...
Linear Self-Ad joint Multipoint Boundary Value Problems and Related Approximation Schemes.
Linear stability of Euler equations in cylindrical domain
The linear stability problem of inviscid incompressible steady flow between two concentric cylinders is investigated. Linearizing the transient behavior around a steady state solution leads to an eigenvalue problem for linearized Euler equations. The discrete eigenvalue problem is obtained by the spectral element method. The algorithm is implemented in MATLAB. The developed program serves as a simple tool for numerical experimenting. It enables to state rough dependency of the stability on various...
Linear stochastic differential-algebraic equations with constant coefficients.
Linear transforms and convolution
Linear transforms supporting circular convolution on residue class rings
Linear transforms supporting circular convolution over a commutative ring with identity
We consider a commutative ring with identity and a positive integer . We characterize all the 3-tuples of linear transforms over , having the “circular convolution” property, i.eṡuch that for all .
Linear-implicit strong schemes for Itô-Galerkin approximations of stochastic PDEs.
Linearization regions for confidence ellipsoids
If an observation vector in a nonlinear regression model is normally distributed, then an algorithm for a determination of the exact -confidence region for the parameter of the mean value of the observation vector is well known. However its numerical realization is tedious and therefore it is of some interest to find some condition which enables us to construct this region in a simpler way.
Linearizations of singular matrix polynomials and the recovery of minimal indices.
Linearly Implicit Extrapolation Methods for Differential-Algebraic Systems.
Linear-quadratic optimal control for the Oseen equations with stabilized finite elements
For robust discretizations of the Navier-Stokes equations with small viscosity, standard Galerkin schemes have to be augmented by stabilization terms due to the indefinite convective terms and due to a possible lost of a discrete inf-sup condition. For optimal control problems for fluids such stabilization have in general an undesired effect in the sense that optimization and discretization do not commute. This is the case for the combination of streamline upwind Petrov-Galerkin (SUPG) and pressure...
Linear-wavelet networks
This paper proposes a nonlinear regression structure comprising a wavelet network and a linear term. The introduction of the linear term is aimed at providing a more parsimonious interpolation in high-dimensional spaces when the modelling samples are sparse. A constructive procedure for building such structures, termed linear-wavelet networks, is described. For illustration, the proposed procedure is employed in the framework of dynamic system identification. In an example involving a simulated...
L'inverse d'une matrice d'intervalles
Lissage d'un fractile d'une distribution de probabilité variable