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// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2014 Google Inc. All rights reserved.
// http://code.google.com/p/ceres-solver/
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
//
// * Redistributions of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
// * Redistributions in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
// * Neither the name of Google Inc. nor the names of its contributors may be
// used to endorse or promote products derived from this software without
// specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
// POSSIBILITY OF SUCH DAMAGE.
//
// Author: sameeragarwal@google.com (Sameer Agarwal)
#include "ceres/internal/port.h"
#ifndef CERES_PUBLIC_CUBIC_INTERPOLATION_H_
#define CERES_PUBLIC_CUBIC_INTERPOLATION_H_
namespace ceres {
// This class takes as input a one dimensional array of values that is
// assumed to be integer valued samples from a function f(x),
// evaluated at x = 0, ... , n - 1 and uses Catmull-Rom splines to
// produce a smooth approximation to it that can be used to evaluate
// the f(x) and f'(x) at any point in the interval [0, n-1].
//
// Besides this, the reason this class is included with Ceres is that
// the Evaluate method is overloaded so that the user can use it as
// part of their automatically differentiated CostFunction objects
// without worrying about the fact that they are working with a
// numerically interpolated object.
//
// For more details on cubic interpolation see
//
// http://en.wikipedia.org/wiki/Cubic_Hermite_spline
// http://www.paulinternet.nl/?page=bicubic
//
// Example usage:
//
// const double x[] = {1.0, 2.0, 5.0, 6.0};
// CubicInterpolator interpolator(x, 4);
// double f, dfdx;
// CHECK(interpolator.Evaluator(1.5, &f, &dfdx));
class CERES_EXPORT CubicInterpolator {
public:
// values should be a valid pointer for the lifetime of this object.
CubicInterpolator(const double* values, int num_values);
// Evaluate the interpolated function value and/or its
// derivative. Returns false if x is out of bounds.
bool Evaluate(double x, double* f, double* dfdx) const;
// Overload for Jets, which automatically accounts for the chain rule.
template<typename JetT> bool Evaluate(const JetT& x, JetT* f) const {
double dfdx;
if (!Evaluate(x.a, &f->a, &dfdx)) {
return false;
}
f->v = dfdx * x.v;
return true;
}
int num_values() const { return num_values_; }
private:
const double* values_;
const int num_values_;
};
} // namespace ceres
#endif // CERES_PUBLIC_CUBIC_INTERPOLATOR_H_