In numerical analysis and scientific computing, the trapezoidal rule is a numerical method to solve ordinary differential equations derived from the trapezoidal rule for computing integrals (see also).
Returns the one-dimensional piecewise linear interpolant to a function with given discrete data points (xs, ys), evaluated at x (see also). Several interpolation methods are supported as follow:
- Linear interpolation: y is linearly interpolated between the two nearest neighbors at x
- Nearest-neighbor interpolation: y is set to the value of the nearest neighbor at x
- Constant left interpolation: ys behaves as a integer part function where each y data point extends to the left up to the next index
- Constant right interpolation: ys behaves as a integer part function where each y data point extends to the right up to the next index
Return the cumulative sum of the elements (see also).
Return the discrete difference of the elements (see also).