For example, the inclination of angle α tan α=b: a
Inclination Inclination represents two elements on the part Relative direction Maintain the correct condition of any given angle. The inclination tolerance is: Measured elements The maximum allowable variation between the ideal directions where the datum is at any given angle. Inclination (∠) is used to control the measured feature (plane or straight line) on the part relative to Datum feature The degree to which the direction of (plane or straight line) deviates from a given angle (0 °~90 °), that is, the measured element is required to form a certain angle to the datum (except 90 °). Calculate the numerical gradient.
The gradient of function F (x, y,...) at (x0, y0,...) is the derivative of the function at that point, which is usually mathematically recorded as ▽ F (x0, y0,...) or gradF (x0, y0,...).
A gradient is a vector whose direction is the direction in which the function has the fastest rate of change at a point, and its modulus is the rate of change of the function along this direction.
stay MATLAB Using gradient to calculate gradient in, we will get several vectors, which point out the direction in which the value of F increases. Where F is a vector. This format returns F's one-dimensional Numerical gradient. FX means partial F/partial x, i.e. along the x axis（ horizontal axis ）Derivative of direction. [FX,FY] = gradient(F)
Where F is a matrix. This call returns the x, y parts of the two-dimensional numerical gradient. FX corresponds to partial F/partial x, and FY corresponds to partial F/partial y.
[FX,FY,FZ,...] = gradient(F)
[...] = gradient(F,h)
Here h specifies the interval of taking points along the direction of the gradient.
[...] = gradient(F,h1,h2,...)
The numerical gradient of matrix Z is calculated at an interval of 0.2 in the x and y directions, and dZ/dx and dZ/dy are returned to DX and DY respectively.
