- residual vector
- вектор невязок (в задачах оптимизации)
Большой англо-русский и русско-английский словарь. 2001.
residual vector
Смотреть что такое "residual vector" в других словарях:
Residual dipolar coupling — The residual dipolar coupling between two spins in a molecule occurs if the molecules in solution exhibit a partial alignment leading to an incomplete averaging of spatially anisotropic dipolar couplings.Partial molecular alignment leads to an… … Wikipedia
Conjugate residual method — The conjugate residual method is an iterative numeric method used for solving systems of linear equations. It s a Krylov subspace method very similar to the much more popular conjugate gradient method, with similar construction and convergence… … Wikipedia
Generalized minimal residual method — In mathematics, the generalized minimal residual method (usually abbreviated GMRES) is an iterative method for the numerical solution of a system of linear equations. The method approximates the solution by the vector in a Krylov subspace with… … Wikipedia
Indoor residual spraying — or IRS is the process of spraying the inside of dwellings with an insecticide to kill mosquitoes that spread malaria. A dilute solution of insecticide is sprayed on the inside walls of certain types of dwellings those with walls made from porous… … Wikipedia
Acoplamiento dipolar residual — El acoplamiento dipolar residual (Residual Dipolar Coupling (RDC) por su nombre en inglés)entre dos spines en una molécula ocurre si las moléculas en solución exhiben un alineamiento parcial que conduce a un promediado incompleto de los… … Wikipedia Español
RVQ — Residual Vector Quantization (Academic & Science » Mathematics) *** Receive Value Request (Computing » Assembly) * Register Value Queue (Computing » Assembly) * Recreational Vehicle Barbecue (Business » Products) * Relaxed Vaginal Outlet (Medical … Abbreviations dictionary
Degrees of freedom (statistics) — In statistics, the number of degrees of freedom is the number of values in the final calculation of a statistic that are free to vary.[1] Estimates of statistical parameters can be based upon different amounts of information or data. The number… … Wikipedia
Linear least squares (mathematics) — This article is about the mathematics that underlie curve fitting using linear least squares. For statistical regression analysis using least squares, see linear regression. For linear regression on a single variable, see simple linear regression … Wikipedia
Ordinary least squares — This article is about the statistical properties of unweighted linear regression analysis. For more general regression analysis, see regression analysis. For linear regression on a single variable, see simple linear regression. For the… … Wikipedia
Conjugate gradient method — A comparison of the convergence of gradient descent with optimal step size (in green) and conjugate vector (in red) for minimizing a quadratic function associated with a given linear system. Conjugate gradient, assuming exact arithmetic,… … Wikipedia
Linear least squares — is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to measurements obtained from experiments. The goals of linear least squares are to extract predictions from the… … Wikipedia
