Interpolation and Approximation¶
Functions¶
Cubic Spline Interpolation¶
Derivative end conditions cubSplineInterpECnd
Shape preserving cubSplineInterpShape
Tension-Continuity-Bias Conditions cubSplineTcb
Cubic Spline Evaluation and Integration¶
Evaluation and differentiation cubSplineValue
Integration cubSplineIntegral
Spline Interpolation¶
One-dimensional interpolation splineInterp
Knot sequence given interpolation data splineKnots
Two-dimensional, tensor-product interpolation spline2dInterp
Spline Evaluation and Integration¶
One-dimensional evaluation and differentiation splineValue
One-dimensional integration splineIntegral
Two-dimensional evaluation and differentiation spline2dValue
Two-dimensional integration spline2dIntegral
Multi-dimensional¶
Multidimensional interpolation and differentiation splineNdInterp
Least-Squares Approximation and Smoothing¶
General functions userFcnLeastSquares
Splines with fixed knots splineLeastSquares
Tensor-product splines with fixed knots spline2dLeastSquares
Cubic smoothing spline cubSplineSmooth
Splines with constraints splineLsqConstrained
Smooth one-dimensional data by error detection smooth1dData
Scattered Data Interpolation¶
Akima’s surface-fitting method scattered2dInterp
Scattered Data Least Squares¶
Fit using radial-basis functions radialScatteredFit
Evaluate radial-basis fit radialEvaluate