geometrical meaningimportance measurespartial derivativesystem performanceReliability importance is a scalar which is a partial derivative of system reliability function with respect to component reliability variable. Gradient is a vector consisting of partial derivatives of one continuous function with respect ...
(of a function,f(x, y, z)) the vector whose components along the axes are the partial derivatives of the function with respect to each variable, and whose direction is that in which the derivative of the function has its maximum value. Usually written: gradf, ∇for ∇f: Comparecurl...
Rate of change of temperature, pressure, magnetic field, or other variable as a function of distance, time, or other continuously changing influence. Farlex Partner Medical Dictionary © Farlex 2012 gradient (grā′dē-ənt) n.Abbr.grad. ...
一、在MATLAB命令中输入help zpk()会出现这样解释: zpk - Create zero-pole-gain model; convert to zero-pole-gain model This MATLAB function creates a continuous-time zero-pole-gain model with zeros Z, poles P, and gain(... matlab hist函数的用法 ...
Concentration Gradient Definition Concentration gradientrefers to the gradual change in the concentration ofsolutesin asolutionas a function of distance through a solution. A solution, essentially, has two major components, thesolvent(the dissolving component, e.g. water) and the solute (the particles...
The CSS repeating-radial-gradient() function creates an image consisting of repeating radial gradients that radiate from an origin. It is similar to the radial-gradient() function, but it repeats the color stops infinitely in all directions so as to cover its entire container, similar to the ...
The function Φ(a0, a1, a2) in (1.21) is the weighted quadratic error between the image I(x, y) and the linear fit I˜xy in a 3 × 3 neighborhood centered at (x0, y0). The weights w(x –x0, y –y0) take into account the different Euclidean distances of horizontal, ...
Generate sample elevation data for the region around a mountain summit using a geographic postings reference object and thegeopeaksfunction. To do this, first create a reference object for the region by specifying the latitude and longitude limits and the size of the elevation data grid. Next, ...
Furthermore, f(xi) is divided by ▿f(xi) meaning that NR uses a ratio of function value to gradient, whereas GDM only uses the actual gradient. In order to directly compare the GDM and NR methods, the simple example of minimizing fx=x2 with a starting point x0=1 will be repeated...
the quantile loss function is no longer useful because observations become scarce at that level and extrapolation beyond the range of observed values is needed. Extreme value theory provides the statistical tools for a sensible extrapolation into the tail of the variable of interestY. For a large ...