put nfev/njev as internal variables as well

This commit is contained in:
Thomas Capricelli
2009-08-25 22:13:08 +02:00
parent 41b6ea81db
commit 470ea55834
3 changed files with 121 additions and 142 deletions

View File

@@ -33,7 +33,6 @@ public:
);
Status solve(
Matrix< Scalar, Dynamic, 1 > &x,
int &nfev, int &njev,
const Parameters &parameters,
const int mode=1
);
@@ -44,7 +43,6 @@ public:
);
Status solveNumericalDiff(
Matrix< Scalar, Dynamic, 1 > &x,
int &nfev,
const Parameters &parameters,
const int mode=1,
int nb_of_subdiagonals = -1,
@@ -57,6 +55,8 @@ public:
Matrix< Scalar, Dynamic, 1 > R;
Matrix< Scalar, Dynamic, 1 > qtf;
Matrix< Scalar, Dynamic, 1 > diag;
int nfev;
int njev;
private:
const FunctorType &functor;
};
@@ -71,7 +71,6 @@ HybridNonLinearSolver<FunctorType,Scalar>::solve(
)
{
const int n = x.size();
int nfev=0, njev=0;
Parameters parameters;
/* check the input parameters for errors. */
@@ -85,7 +84,6 @@ HybridNonLinearSolver<FunctorType,Scalar>::solve(
diag.setConstant(n, 1.);
return solve(
x,
nfev, njev,
parameters,
2
);
@@ -97,8 +95,6 @@ template<typename FunctorType, typename Scalar>
typename HybridNonLinearSolver<FunctorType,Scalar>::Status
HybridNonLinearSolver<FunctorType,Scalar>::solve(
Matrix< Scalar, Dynamic, 1 > &x,
int &nfev,
int &njev,
const Parameters &parameters,
const int mode
)
@@ -385,7 +381,6 @@ HybridNonLinearSolver<FunctorType,Scalar>::solveNumericalDiff(
)
{
const int n = x.size();
int nfev=0;
Parameters parameters;
/* check the input parameters for errors. */
@@ -400,7 +395,6 @@ HybridNonLinearSolver<FunctorType,Scalar>::solveNumericalDiff(
diag.setConstant(n, 1.);
return solveNumericalDiff(
x,
nfev,
parameters,
2,
-1, -1,
@@ -413,7 +407,6 @@ template<typename FunctorType, typename Scalar>
typename HybridNonLinearSolver<FunctorType,Scalar>::Status
HybridNonLinearSolver<FunctorType,Scalar>::solveNumericalDiff(
Matrix< Scalar, Dynamic, 1 > &x,
int &nfev,
const Parameters &parameters,
const int mode,
int nb_of_subdiagonals,