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the Index types change.

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As discussed on the list (too long to explain here).
This commit is contained in:
Benoit Jacob
2010-05-30 16:00:58 -04:00
parent faa3ff3be6
commit aaaade4b3d
158 changed files with 3137 additions and 2878 deletions
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30
unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h
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@@ -56,6 +56,8 @@ template<typename FunctorType, typename Scalar=double>
class HybridNonLinearSolver
{
public:
typedef DenseIndex Index;
HybridNonLinearSolver(FunctorType &_functor)
: functor(_functor) { nfev=njev=iter = 0; fnorm= 0.; useExternalScaling=false;}
@@ -68,10 +70,10 @@ public:
, nb_of_superdiagonals(-1)
, epsfcn(Scalar(0.)) {}
Scalar factor;
int maxfev; // maximum number of function evaluation
Index maxfev; // maximum number of function evaluation
Scalar xtol;
int nb_of_subdiagonals;
int nb_of_superdiagonals;
Index nb_of_subdiagonals;
Index nb_of_superdiagonals;
Scalar epsfcn;
};
typedef Matrix< Scalar, Dynamic, 1 > FVectorType;
@@ -102,24 +104,24 @@ public:
FVectorType fvec, qtf, diag;
JacobianType fjac;
UpperTriangularType R;
int nfev;
int njev;
int iter;
Index nfev;
Index njev;
Index iter;
Scalar fnorm;
bool useExternalScaling;
private:
FunctorType &functor;
int n;
Index n;
Scalar sum;
bool sing;
Scalar temp;
Scalar delta;
bool jeval;
int ncsuc;
Index ncsuc;
Scalar ratio;
Scalar pnorm, xnorm, fnorm1;
int nslow1, nslow2;
int ncfail;
Index nslow1, nslow2;
Index ncfail;
Scalar actred, prered;
FVectorType wa1, wa2, wa3, wa4;
};
@@ -169,7 +171,7 @@ HybridNonLinearSolver<FunctorType,Scalar>::solveInit(FVectorType &x)
if (n <= 0 || parameters.xtol < 0. || parameters.maxfev <= 0 || parameters.factor <= 0. )
return HybridNonLinearSolverSpace::ImproperInputParameters;
if (useExternalScaling)
for (int j = 0; j < n; ++j)
for (Index j = 0; j < n; ++j)
if (diag[j] <= 0.)
return HybridNonLinearSolverSpace::ImproperInputParameters;
@@ -196,7 +198,7 @@ HybridNonLinearSolver<FunctorType,Scalar>::solveOneStep(FVectorType &x)
{
assert(x.size()==n); // check the caller is not cheating us
int j;
Index j;
std::vector<PlanarRotation<Scalar> > v_givens(n), w_givens(n);
jeval = true;
@@ -408,7 +410,7 @@ HybridNonLinearSolver<FunctorType,Scalar>::solveNumericalDiffInit(FVectorType &
if (n <= 0 || parameters.xtol < 0. || parameters.maxfev <= 0 || parameters.nb_of_subdiagonals< 0 || parameters.nb_of_superdiagonals< 0 || parameters.factor <= 0. )
return HybridNonLinearSolverSpace::ImproperInputParameters;
if (useExternalScaling)
for (int j = 0; j < n; ++j)
for (Index j = 0; j < n; ++j)
if (diag[j] <= 0.)
return HybridNonLinearSolverSpace::ImproperInputParameters;
@@ -435,7 +437,7 @@ HybridNonLinearSolver<FunctorType,Scalar>::solveNumericalDiffOneStep(FVectorType
{
assert(x.size()==n); // check the caller is not cheating us
int j;
Index j;
std::vector<PlanarRotation<Scalar> > v_givens(n), w_givens(n);
jeval = true;