
smile.math.rbf.MultiquadricRadialBasis Maven / Gradle / Ivy
/*
* Copyright (c) 2010-2021 Haifeng Li. All rights reserved.
*
* Smile is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* Smile is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with Smile. If not, see .
*/
package smile.math.rbf;
import java.io.Serial;
/**
* Multiquadric RBF. φ(r) = (r2 + r20)1/2
* where r0 is a scale factor. Multiquadrics are said to be less
* sensitive to the choice of r0 than som other functional forms.
*
* In general, r0 should be larger than the typical separation of
* points but smaller than the "outer scale" or feature size of the function
* to interplate. There can be several orders of magnitude difference between
* the interpolation accuracy with a good choice for r0, versus a
* poor choice, so it is definitely worth some experimentation. One way to
* experiment is to construct an RBF interpolator omitting one data point
* at a time and measuring the interpolation error at the omitted point.
*
* @author Haifeng Li
*/
public class MultiquadricRadialBasis implements RadialBasisFunction {
@Serial
private static final long serialVersionUID = 1L;
/**
* The scale factor.
*/
private final double r02;
/**
* Constructor. The default scale is 1.0.
*/
public MultiquadricRadialBasis() {
this(1.0);
}
/**
* Constructor.
* @param scale the scale parameter.
*/
public MultiquadricRadialBasis(double scale) {
r02 = scale * scale;
}
@Override
public double f(double r) {
return Math.sqrt(r * r + r02);
}
@Override
public String toString() {
return String.format("Multiquadric Radial Basis (r0 = %.4f)", r02);
}
}