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Added a numerical gradient calculation test

release/4.3a0
Frank Dellaert 2009-12-12 04:13:12 +00:00
parent 56a4172480
commit 2a2963b7dd
1 changed files with 25 additions and 9 deletions
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34
cpp/numericalDerivative.h
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@ -12,6 +12,25 @@
namespace gtsam {
/**
* Numerically compute gradient of scalar function
* Class X is the input argument
* needs dim, exmap, vector
*/
template<class X>
Vector numericalGradient(double (*h)(const X&), const X& x, double delta=1e-5) {
double hx = h(x);
double factor = 1.0/(2.0*delta);
const size_t n = x.dim();
Vector d(n,0.0), g(n,0.0);
for (size_t j=0;j<n;j++) {
d(j) += delta; double hxplus = h(x.exmap(d));
d(j) -= 2*delta; double hxmin = h(x.exmap(d));
d(j) += delta; g(j) = (hxplus-hxmin)*factor;
}
return g;
}
/**
* Compute numerical derivative in arument 1 of unary function
* @param h unary function yielding m-vector
@ -29,8 +48,7 @@ namespace gtsam {
* both classes need dim, exmap, vector
*/
template<class Y, class X>
Matrix numericalDerivative11
(Y (*h)(const X&), const X& x, double delta=1e-5) {
Matrix numericalDerivative11(Y (*h)(const X&), const X& x, double delta=1e-5) {
Vector hx = h(x).vector();
double factor = 1.0/(2.0*delta);
const size_t m = hx.size(), n = x.dim();
@ -53,18 +71,16 @@ namespace gtsam {
* @param delta increment for numerical derivative
* @return m*n Jacobian computed via central differencing
*/
Matrix NumericalDerivative21
(Vector (*h)(const Vector&, const Vector&), const Vector& x1, const Vector& x2, double delta=1e-5);
Matrix NumericalDerivative21(Vector (*h)(const Vector&, const Vector&),
const Vector& x1, const Vector& x2, double delta=1e-5);
/**
* templated version (starts with LOWERCASE n)
* classes need dim, exmap, vector
*/
template<class Y, class X1, class X2>
Matrix numericalDerivative21
(Y (*h)(const X1&, const X2&),
const X1& x1, const X2& x2, double delta=1e-5)
{
template<class Y, class X1, class X2>
Matrix numericalDerivative21(Y (*h)(const X1&, const X2&),
const X1& x1, const X2& x2, double delta=1e-5) {
Vector hx = h(x1,x2).vector();
double factor = 1.0/(2.0*delta);
const size_t m = hx.size(), n = x1.dim();