Class InterpolatorSpline

Cubic spline interpolation, with "natural" boundary conditions (see docs for R's ?spline). Compared with the other interpolation objects (InterpolatorConstant and InterpolatorLinear) here we have to do some set up after initialisation to prepare the coefficients of the system. The actual interpolation via eval is not much complex than linear interepolation though.

Hierarchy

Constructors

constructor

Properties

_i _x _y nX nY

Methods

eval evalAll search

Constructors

constructor

Properties

Protected _i

_i: number

Protected Readonly _x

_x: readonly number[]

Protected Readonly _y

_y: readonly number[][]

Readonly nX

nX: number

Number of 'x' points in the system

Readonly nY

nY: number

Number of series per 'x'

Methods

eval

  • eval(x: number, series?: number): number

  • Evaluate the interpolation function

    Parameters

    • x: number

      The x position to interpolate the function at

    • series: number = 0

    Returns number

evalAll

  • evalAll(x: number): number[]

  • Evaluate the interpolation function on all traces

    Parameters

    • x: number

      The x position to interpolate the function at

    Returns number[]

Protected search

  • search(target: number, allowRight: boolean): number

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