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reduce local variables so that we can split algorithms

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This commit is contained in:
Thomas Capricelli
2009-08-25 22:49:05 +02:00
parent be368c33bb
commit baec4f39ab
2 changed files with 61 additions and 87 deletions
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66
unsupported/Eigen/src/NonLinear/HybridNonLinearSolver.h
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@@ -59,6 +59,21 @@ public:
int njev;
private:
const FunctorType &functor;
int n;
Scalar sum;
bool sing;
int iter;
Scalar temp;
Scalar delta;
bool jeval;
int ncsuc;
Scalar ratio;
Scalar fnorm;
Scalar pnorm, xnorm, fnorm1;
int nslow1, nslow2;
int ncfail;
Scalar actred, prered;
Matrix< Scalar, Dynamic, 1 > wa1, wa2, wa3, wa4;
};
@@ -70,7 +85,7 @@ HybridNonLinearSolver<FunctorType,Scalar>::solve(
const Scalar tol
)
{
const int n = x.size();
n = x.size();
Parameters parameters;
/* check the input parameters for errors. */
@@ -99,9 +114,9 @@ HybridNonLinearSolver<FunctorType,Scalar>::solve(
const int mode
)
{
const int n = x.size();
Matrix< Scalar, Dynamic, 1 > wa1(n), wa2(n), wa3(n), wa4(n);
n = x.size();
wa1.resize(n); wa2.resize(n); wa3.resize(n); wa4.resize(n);
fvec.resize(n);
qtf.resize(n);
R.resize( (n*(n+1))/2);
@@ -111,22 +126,6 @@ HybridNonLinearSolver<FunctorType,Scalar>::solve(
diag.resize(n);
assert( (mode!=2 || diag.size()==n) || "When using mode==2, the caller must provide a valid 'diag'");
/* Local variables */
int i, j, l, iwa[1];
Scalar sum;
bool sing;
int iter;
Scalar temp;
Scalar delta;
bool jeval;
int ncsuc;
Scalar ratio;
Scalar fnorm;
Scalar pnorm, xnorm, fnorm1;
int nslow1, nslow2;
int ncfail;
Scalar actred, prered;
/* Function Body */
nfev = 0;
njev = 0;
@@ -136,7 +135,7 @@ HybridNonLinearSolver<FunctorType,Scalar>::solve(
if (n <= 0 || parameters.xtol < 0. || parameters.maxfev <= 0 || parameters.factor <= 0. )
return ImproperInputParameters;
if (mode == 2)
for (j = 0; j < n; ++j)
for (int j = 0; j < n; ++j)
if (diag[j] <= 0.)
return ImproperInputParameters;
@@ -159,6 +158,7 @@ HybridNonLinearSolver<FunctorType,Scalar>::solve(
/* beginning of the outer loop. */
while (true) {
int i, j, l, iwa[1];
jeval = true;
/* calculate the jacobian matrix. */
@@ -380,7 +380,7 @@ HybridNonLinearSolver<FunctorType,Scalar>::solveNumericalDiff(
const Scalar tol
)
{
const int n = x.size();
n = x.size();
Parameters parameters;
/* check the input parameters for errors. */
@@ -412,12 +412,12 @@ HybridNonLinearSolver<FunctorType,Scalar>::solveNumericalDiff(
const Scalar epsfcn
)
{
const int n = x.size();
Matrix< Scalar, Dynamic, 1 > wa1(n), wa2(n), wa3(n), wa4(n);
n = x.size();
if (nb_of_subdiagonals<0) nb_of_subdiagonals = n-1;
if (nb_of_superdiagonals<0) nb_of_superdiagonals = n-1;
wa1.resize(n); wa2.resize(n); wa3.resize(n); wa4.resize(n);
qtf.resize(n);
R.resize( (n*(n+1))/2);
fjac.resize(n, n);
@@ -426,22 +426,7 @@ HybridNonLinearSolver<FunctorType,Scalar>::solveNumericalDiff(
diag.resize(n);
assert( (mode!=2 || diag.size()==n) || "When using mode==2, the caller must provide a valid 'diag'");
/* Local variables */
int i, j, l, iwa[1];
Scalar sum;
bool sing;
int iter;
Scalar temp;
int msum;
Scalar delta;
bool jeval;
int ncsuc;
Scalar ratio;
Scalar fnorm;
Scalar pnorm, xnorm, fnorm1;
int nslow1, nslow2;
int ncfail;
Scalar actred, prered;
/* Function Body */
@@ -452,7 +437,7 @@ HybridNonLinearSolver<FunctorType,Scalar>::solveNumericalDiff(
if (n <= 0 || parameters.xtol < 0. || parameters.maxfev <= 0 || nb_of_subdiagonals < 0 || nb_of_superdiagonals < 0 || parameters.factor <= 0. )
return ImproperInputParameters;
if (mode == 2)
for (j = 0; j < n; ++j)
for (int j = 0; j < n; ++j)
if (diag[j] <= 0.)
return ImproperInputParameters;
@@ -481,6 +466,7 @@ HybridNonLinearSolver<FunctorType,Scalar>::solveNumericalDiff(
/* beginning of the outer loop. */
while (true) {
int i, j, l, iwa[1];
jeval = true;
/* calculate the jacobian matrix. */