From professional translators, enterprises, web pages and freely available translation repositories.
in other words, there exists a price vector that defines a hyperplane that perfectly separates the two convex sets.
en otras palabras, existe un vector de precios que define una línea que separa perfectamente esos dos conjuntos convexos.
in this context, solving an initial value problem is interpreted as lying in the hyperplane given by the initial conditions.
en este contexto, resolver un problema de valor inicial se interpreta como la pertenencia al hiperplano dado por las condiciones iniciales.
bombieri constructed examples to show that in r9 there is a function f: r8 r which is a minimal surface in r9 which is not a hyperplane.
bombieri ejemplos construidos para demostrar que en r 9 hay una función f: 8 r que r es una superficie mínima en r 9, que no es un hiperplano.
an example of one of his papers on algebraic geometry is the hyperplane sections of normal varieties (1950) which has proved fundamental in later advances.
un ejemplo de uno de sus trabajos en la geometría algebraica es hiperplano las secciones de las variedades normales (1950) que ha resultado fundamental en los avances posteriores.
if the hyperplane is moved through the shape, the three-dimensional slices can be combined, animated into a kind of four dimensional object, where the fourth dimension is taken to be time.
moviendo el hiperplano a través de la forma, las "rebanadas" tridimensionales pueden combinarse y animarse en una suerte de objeto tetradimensional, donde la cuarta dimensión vendría a ser el tiempo.
this method finds a line (plane or hyperplane) that minimizes a robust estimate of the scale (from which the method gets the s in its name) of the residuals.
este método encuentra una línea (plano o hiperplano) que minimiza una estimación robusta de la escala (de la que el método obtiene el s en su nombre) de los residuos.
* perceptron—an algorithm that attempts to fix all errors encountered in the training set* support vector machine—an algorithm that maximizes the margin between the decision hyperplane and the examples in the training set.
* perceptrón—an algorithm that attempts to fix all errors encountered in the training set* support vector machine—an algorithm that maximizes the margin between the decision hyperplane and the examples in the training set.