Examples of using Linear approximation in English and their translations into Portuguese
{-}
-
Colloquial
-
Official
-
Medicine
-
Financial
-
Ecclesiastic
-
Ecclesiastic
-
Computer
-
Official/political
I finally figured out the linear approximations.
The linear approximation introduces bias into the statistics.
If formula_99 this is the same as the linear approximation.
However, if the linear approximation above is used, then if -1<"y"≤ 0, so cannot exist.
Linearity error potential deviation of the measured value from the linear approximation.
Formula_90 is Hooshmand's name for the linear approximation to the natural tetration function.
Then, this linear approximation is used to define a search direction in the interior of the dual function.
First, a subgradient is used to build a linear approximation to the dual problem.
Then, two wilson-cowan networks are coupled and the activity of this new system is investigated,also by using a linear approximation.
The coef-ficients of the linear approximations are obtained from the least-squares method.
Finally, the algorithm makes a simple choice of the points to represent the linear approximation of each partition.
In mathematics, a linear approximation is an approximation of a general function using a linear function more precisely, an affine function.
In mathematics linearization refers to finding the linear approximation to a function at a given point.
In the first part, using the boundary element method(bem),we did the analysis of two-dimensional problems with linear approximation.
We will extrapolate the magnetic field lines using the force-free linear approximation to find the shape and geometry of these loops.
Therefore the linear approximation to natural tetration is the only solution of the equation formula_94 and formula_95 which is convex on formula_96.
Examples are methods such as Newton's method,fixed point iteration, and linear approximation.
Even when a linear approximation is acceptable, a non-linear can also be used to obtain a clear understanding of the parameters.
Due to the large variation of the intrapersonal difference4, the low correlations that were found reflect a low linear approximation relationship among the methods.
Methods like newton¿s linear approximation will help in their financial calculations, as well as making them acquainted with a fundamental tool for this field.
Both mathematical and theoretical details are given considering the representation of the shunt elements(loads and generators) andthe operating limits of the network, using linear approximations.
In linear approximation, we compute how the self-interaction affects the geode- sic deviation and the redshift of photons propagating near this massive charged object.
Pca is applied for defining the successive partitions,for obtaining the linear approximations(planes) for each partition, and for evaluating the quality of those approximations. .
The linear approximation to natural tetration function formula_84 is continuously differentiable, but its second derivative does not exist at integer values of its argument.
This dissertation proposes a generic approach to problem solving from linear approximations or quadratic concave wells production curves and linear functions or quadratic convex to pressure drop curves.
The linear approximation to natural tetration function x e{\displaystyle{}^{x}e} is continuously differentiable, but its second derivative does not exist at integer values of its argument. Inconsistant information with what is claimed here.
The molecular transfer equations of Newton's law for fluid momentum at low Reynolds number(Stokes flow), Fourier's law for heat, and Fick's law for mass are very similar,since they are all linear approximations to transport of conserved quantities in a flow field.
The active andreactive load demands are modeled by using linear approximations of the real and imaginary values of the nodal voltages in terms of real and imaginary parts of the voltage magnitudes.
Furthermore, inferential statistics were also used, with analysis of variance ANOVA and analysis of correlation via Pearson Coefficient R and R. The chosen compound linear regression model chosen was the method of least squares,being that inferential linear approximation resulted in a standard trajectory.