Spacing values between the points from which the gradient is estimated canīe set via the s or dx, dy, … arguments. If the first argument f is a function handle, the gradient of theįunction at the points in x0 is approximated using central difference.įor example, gradient 0) approximates the gradient of theĬosine function in the point x0 = 0. Interior pointsĪre calculated with the first approximation of the numerical gradient The length must match their respectiveĪt boundary points a linear extrapolation is applied. Vector values for the x, … arguments specify theĬoordinate for that dimension. Otherwise, separate values of the spacing can be supplied by If s is a scalar, it is assumed to be the spacing for allĭimensions. Additional return arguments can be use for multi-dimensionalĪ constant spacing between two points can be provided by the s
One-dimensional gradient for x and y direction if m is a If m is a matrix the gradient is calculated for each dimension. If m is a vector, calculate the one-dimensional gradient of m. : dx = gradient ( m) : = gradient ( m) : = gradient ( m, s) : = gradient ( m, x, y, z, …) : = gradient ( f, x0) : = gradient ( f, x0, s) : = gradient ( f, x0, x, y, …)Ĭalculate the gradient of sampled data or a function. Hypot (hypot (hypot ( x, y), z), w), etc.
