devtools/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2026-04-10 11:34:33 +08:00
Code Issues Packages Projects Releases Wiki Activity

Apply clang-format

Browse Source
This commit is contained in:
Tobias Wood
2023-11-29 11:12:48 +00:00
parent 9ea520fc45
commit f38e16c193
534 changed files with 103368 additions and 116934 deletions
Download Patch File Download Diff File Expand all files Collapse all files

92
unsupported/Eigen/src/NonLinearOptimization/chkder.h
View File

@@ -4,66 +4,54 @@
// IWYU pragma: private
#include "./InternalHeaderCheck.h"
namespace Eigen {
namespace Eigen {
namespace internal {
template<typename Scalar>
void chkder(
const Matrix< Scalar, Dynamic, 1 > &x,
const Matrix< Scalar, Dynamic, 1 > &fvec,
const Matrix< Scalar, Dynamic, Dynamic > &fjac,
Matrix< Scalar, Dynamic, 1 > &xp,
const Matrix< Scalar, Dynamic, 1 > &fvecp,
int mode,
Matrix< Scalar, Dynamic, 1 > &err
)
{
using std::sqrt;
using std::abs;
using std::log;
typedef DenseIndex Index;
template <typename Scalar>
void chkder(const Matrix<Scalar, Dynamic, 1> &x, const Matrix<Scalar, Dynamic, 1> &fvec,
const Matrix<Scalar, Dynamic, Dynamic> &fjac, Matrix<Scalar, Dynamic, 1> &xp,
const Matrix<Scalar, Dynamic, 1> &fvecp, int mode, Matrix<Scalar, Dynamic, 1> &err) {
using std::abs;
using std::log;
using std::sqrt;
const Scalar eps = sqrt(NumTraits<Scalar>::epsilon());
const Scalar epsf = chkder_factor * NumTraits<Scalar>::epsilon();
const Scalar epslog = chkder_log10e * log(eps);
Scalar temp;
typedef DenseIndex Index;
const Index m = fvec.size(), n = x.size();
const Scalar eps = sqrt(NumTraits<Scalar>::epsilon());
const Scalar epsf = chkder_factor * NumTraits<Scalar>::epsilon();
const Scalar epslog = chkder_log10e * log(eps);
Scalar temp;
if (mode != 2) {
/* mode = 1. */
xp.resize(n);
for (Index j = 0; j < n; ++j) {
temp = eps * abs(x[j]);
if (temp == 0.)
temp = eps;
xp[j] = x[j] + temp;
}
const Index m = fvec.size(), n = x.size();
if (mode != 2) {
/* mode = 1. */
xp.resize(n);
for (Index j = 0; j < n; ++j) {
temp = eps * abs(x[j]);
if (temp == 0.) temp = eps;
xp[j] = x[j] + temp;
}
else {
/* mode = 2. */
err.setZero(m);
for (Index j = 0; j < n; ++j) {
temp = abs(x[j]);
if (temp == 0.)
temp = 1.;
err += temp * fjac.col(j);
}
for (Index i = 0; i < m; ++i) {
temp = 1.;
if (fvec[i] != 0. && fvecp[i] != 0. && abs(fvecp[i] - fvec[i]) >= epsf * abs(fvec[i]))
temp = eps * abs((fvecp[i] - fvec[i]) / eps - err[i]) / (abs(fvec[i]) + abs(fvecp[i]));
err[i] = 1.;
if (temp > NumTraits<Scalar>::epsilon() && temp < eps)
err[i] = (chkder_log10e * log(temp) - epslog) / epslog;
if (temp >= eps)
err[i] = 0.;
}
} else {
/* mode = 2. */
err.setZero(m);
for (Index j = 0; j < n; ++j) {
temp = abs(x[j]);
if (temp == 0.) temp = 1.;
err += temp * fjac.col(j);
}
for (Index i = 0; i < m; ++i) {
temp = 1.;
if (fvec[i] != 0. && fvecp[i] != 0. && abs(fvecp[i] - fvec[i]) >= epsf * abs(fvec[i]))
temp = eps * abs((fvecp[i] - fvec[i]) / eps - err[i]) / (abs(fvec[i]) + abs(fvecp[i]));
err[i] = 1.;
if (temp > NumTraits<Scalar>::epsilon() && temp < eps) err[i] = (chkder_log10e * log(temp) - epslog) / epslog;
if (temp >= eps) err[i] = 0.;
}
}
}
} // end namespace internal
} // end namespace internal
} // end namespace Eigen
} // end namespace Eigen