void
Stokhos::ConstantOrthogPolyExpansion<ordinal_type, value_type>::
asin(Stokhos::OrthogPolyApprox<ordinal_type, value_type>& c,
const Stokhos::OrthogPolyApprox<ordinal_type, value_type>& a)
{
if (c.size() < 1)
c.resize(1);
c[0] = std::asin(a[0]);
}
void
Stokhos::ConstantOrthogPolyExpansion<ordinal_type, value_type>::
tanh(Stokhos::OrthogPolyApprox<ordinal_type, value_type>& t,
const Stokhos::OrthogPolyApprox<ordinal_type, value_type>& a)
{
if (t.size() < 1)
t.resize(1);
t[0] = std::tanh(a[0]);
}
void
Stokhos::ConstantOrthogPolyExpansion<ordinal_type, value_type>::
sinh(Stokhos::OrthogPolyApprox<ordinal_type, value_type>& s,
const Stokhos::OrthogPolyApprox<ordinal_type, value_type>& a)
{
if (s.size() < 1)
s.resize(1);
s[0] = std::sinh(a[0]);
}
void
Stokhos::ConstantOrthogPolyExpansion<ordinal_type, value_type>::
unaryMinus(Stokhos::OrthogPolyApprox<ordinal_type, value_type>& c,
const Stokhos::OrthogPolyApprox<ordinal_type, value_type>& a)
{
if (c.size() < 1)
c.resize(1);
c[0] = -a[0];
}
void
Stokhos::ConstantOrthogPolyExpansion<ordinal_type, value_type>::
divideEqual(Stokhos::OrthogPolyApprox<ordinal_type, value_type>& c,
const Stokhos::OrthogPolyApprox<ordinal_type, value_type >& x)
{
if (c.size() < 1)
c.resize(1);
c[0] /= x[0];
}
void
Stokhos::ConstantOrthogPolyExpansion<ordinal_type, value_type>::
divide(Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type>& c,
const value_type& a,
const Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type>& b)
{
if (c.size() < 1)
c.resize(1);
c[0] = a / b[0];
}
void
Stokhos::ConstantOrthogPolyExpansion<ordinal_type, value_type>::
times(Stokhos::OrthogPolyApprox<ordinal_type, value_type>& c,
const Stokhos::OrthogPolyApprox<ordinal_type, value_type>& a,
const value_type& b)
{
if (c.size() < 1)
c.resize(1);
c[0] = a[0] * b;
}
void
Stokhos::QuadOrthogPolyExpansion<ordinal_type, value_type>::
divideEqual(Stokhos::OrthogPolyApprox<ordinal_type, value_type>& c,
const value_type& val)
{
ordinal_type pc = c.size();
value_type* cc = c.coeff();
for (ordinal_type i=0; i<pc; i++)
cc[i] /= val;
}
void
Stokhos::ConstantOrthogPolyExpansion<ordinal_type, value_type>::
atan2(Stokhos::OrthogPolyApprox<ordinal_type, value_type>& c,
const value_type& a,
const Stokhos::OrthogPolyApprox<ordinal_type, value_type>& b)
{
if (c.size() < 1)
c.resize(1);
c[0] = std::atan2(a, b[0]);
}
void
Stokhos::ConstantOrthogPolyExpansion<ordinal_type, value_type>::
max(Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type>& c,
const Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type>& a,
const value_type& b)
{
if (c.size() < 1)
c.resize(1);
c[0] = std::max(a[0], b);
}
void
Stokhos::ForUQTKOrthogPolyExpansion<ordinal_type, value_type>::
sinh(Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type>& s,
const Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type>& a)
{
if (a.size() > 1) {
// sinh(x) = (exp(x) - exp(-x))/2.0
Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type> t(a);
timesEqual(t, -1.0);
exp(s, a);
exp(t, t);
this->minusEqual(s, t);
divideEqual(s, 2.0);
}
else {
if (s.size() != 1)
s.resize(1);
s[0] = std::sinh(a[0]);
}
}
void
Stokhos::ForUQTKOrthogPolyExpansion<ordinal_type, value_type>::
cosh(Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type>& c,
const Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type>& a)
{
if (a.size() > 1) {
// cosh(x) = (exp(x) + exp(-x))/2.0
Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type> t(a);
timesEqual(t, -1.0);
exp(c, a);
exp(t, t);
this->plusEqual(c, t);
divideEqual(c, 2.0);
}
else {
if (c.size() != 1)
c.resize(1);
c[0] = std::cosh(a[0]);
}
}
void
Stokhos::QuadOrthogPolyExpansion<ordinal_type, value_type>::
divide(Stokhos::OrthogPolyApprox<ordinal_type, value_type>& c,
const Stokhos::OrthogPolyApprox<ordinal_type, value_type>& a,
const Stokhos::OrthogPolyApprox<ordinal_type, value_type>& b)
{
if (b.size() == 1) {
ordinal_type pc = a.size();
if (c.size() != pc)
c.resize(pc);
const value_type* ca = a.coeff();
const value_type* cb = b.coeff();
value_type* cc = c.coeff();
for (ordinal_type i=0; i<pc; i++)
cc[i] = ca[i]/cb[0];
}
else
binary_op(div_quad_func(), c, a, b);
}
void
Stokhos::ForUQTKOrthogPolyExpansion<ordinal_type, value_type>::
divideEqual(Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type>& c,
const OrthogPolyApprox<ordinal_type, value_type, node_type>& x)
{
ordinal_type p = c.size();
ordinal_type xp = x.size();
ordinal_type pc;
if (xp > 1)
pc = sz;
else
pc = p;
TEUCHOS_TEST_FOR_EXCEPTION(sz < pc, std::logic_error,
"Stokhos::ForUQTKOrthogPolyExpansion::divideEqual()" <<
": Expansion size (" << sz <<
") is too small for computation.");
if (c.size() != pc)
c.resize(pc);
value_type* cc = c.coeff();
const value_type* xc = x.coeff();
if (xp > 1) {
TEUCHOS_TEST_FOR_EXCEPTION(pc != xp, std::logic_error,
"Stokhos::ForUQTKOrthogPolyExpansion::divideEqual()"
<< ": Arguments have incompatible sizes: "
<< "x.size() = " << xp << ", c.size() = " << pc << ".");
// Copy c coefficients into temporary array
value_type* tc = Stokhos::ds_array<value_type>::get_and_fill(cc,pc);
int nup = pc-1;
UQ_DIV_F77(tc, xc, cc, &nup);
}
else {
for (ordinal_type i=0; i<pc; i++)
cc[i] /= xc[0];
}
}
void
Stokhos::ForUQTKOrthogPolyExpansion<ordinal_type, value_type>::
tanh(Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type>& t,
const Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type>& a)
{
if (a.size() > 1) {
// tanh(x) = (exp(x) - exp(-x))/(exp(x) + exp(-x))
Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type> s(a);
Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type> c(a);
timesEqual(s, -1.0);
exp(s, s);
exp(c, a);
this->minus(t, c, s);
this->plusEqual(c, s);
divideEqual(t, c);
}
else {
if (t.size() != 1)
t.resize(1);
t[0] = std::tanh(a[0]);
}
}
void
Stokhos::ForUQTKOrthogPolyExpansion<ordinal_type, value_type>::
divide(Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type>& c,
const Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type>& a,
const Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type>& b)
{
ordinal_type pa = a.size();
ordinal_type pb = b.size();
ordinal_type pc;
if (pb > 1)
pc = sz;
else
pc = pa;
TEUCHOS_TEST_FOR_EXCEPTION(sz < pc, std::logic_error,
"Stokhos::ForUQTKOrthogPolyExpansion::divide()" <<
": Expansion size (" << sz <<
") is too small for computation.");
if (c.size() != pc)
c.resize(pc);
const value_type* ca = a.coeff();
const value_type* cb = b.coeff();
value_type* cc = c.coeff();
if (pb > 1) {
TEUCHOS_TEST_FOR_EXCEPTION(pa != pc || pb != pc, std::logic_error,
"Stokhos::ForUQTKOrthogPolyExpansion::divide()"
<< ": Arguments have incompatible sizes: "
<< "a.size() = " << pa << ", b.size() = " << pb
<< ", required size = " << pc << ".");
int nup = pc-1;
UQ_DIV_F77(ca, cb, cc, &nup);
}
else {
for (ordinal_type i=0; i<pa; i++)
cc[i] = ca[i]/cb[0];
}
}
void
Stokhos::PseudoSpectralOrthogPolyExpansion<ordinal_type, value_type, point_compare_type, node_type>::
divideEqual(
Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type>& c,
const Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type>& x)
{
#ifdef STOKHOS_TEUCHOS_TIME_MONITOR
TEUCHOS_FUNC_TIME_MONITOR("Stokhos::OrthogPolyExpansionBase::divideEqual(OPA)");
#endif
if (x.size() == 1) {
ordinal_type p = c.size();
value_type* cc = c.coeff();
const value_type* xc = x.coeff();
for (ordinal_type i=0; i<p; i++)
cc[i] /= xc[0];
}
else {
if (use_quad_for_division)
binary_op(div_quad_func(), c, c, x);
else
OrthogPolyExpansionBase<ordinal_type, value_type, node_type>::divideEqual(c, x);
}
}
void
Stokhos::CGDivisionExpansionStrategy<ordinal_type,value_type,node_type>::
divide(Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type>& c,
const value_type& alpha,
const Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type>& a,
const Stokhos::OrthogPolyApprox<ordinal_type, value_type, node_type>& b,
const value_type& beta)
{
#ifdef STOKHOS_TEUCHOS_TIME_MONITOR
TEUCHOS_FUNC_TIME_MONITOR("Stokhos::CGDivisionStrategy::divide()");
#endif
ordinal_type sz = basis->size();
ordinal_type pa = a.size();
ordinal_type pb = b.size();
ordinal_type pc;
if (pb > 1)
pc = sz;
else
pc = pa;
if (c.size() != pc)
c.resize(pc);
const value_type* ca = a.coeff();
const value_type* cb = b.coeff();
value_type* cc = c.coeff();
if (pb > 1) {
// Compute A
A->putScalar(0.0);
typename Cijk_type::k_iterator k_begin = Cijk->k_begin();
typename Cijk_type::k_iterator k_end = Cijk->k_end();
if (pb < Cijk->num_k())
k_end = Cijk->find_k(pb);
value_type cijk;
ordinal_type i,j,k;
for (typename Cijk_type::k_iterator k_it=k_begin; k_it!=k_end; ++k_it) {
k = index(k_it);
for (typename Cijk_type::kj_iterator j_it = Cijk->j_begin(k_it);
j_it != Cijk->j_end(k_it); ++j_it) {
j = index(j_it);
for (typename Cijk_type::kji_iterator i_it = Cijk->i_begin(j_it);
i_it != Cijk->i_end(j_it); ++i_it) {
i = index(i_it);
cijk = value(i_it);
(*A)(i,j) += cijk*cb[k];
}
}
}
// Compute B
B->putScalar(0.0);
for (ordinal_type i=0; i<pa; i++)
(*B)(i,0) = ca[i]*basis->norm_squared(i);
Teuchos::SerialDenseMatrix<ordinal_type,value_type> D(sz, 1);
//Equilibrate the linear system
if (equil == 1){
//Create diag mtx of max row entries
for (ordinal_type i=0; i<sz; i++){
Teuchos::SerialDenseMatrix<ordinal_type, value_type> r(Teuchos::View, *A, 1, sz, i, 0);
D(i,0)=sqrt(r.normOne());
}
//Compute inv(D)*A*inv(D)
for (ordinal_type i=0; i<sz; i++){
for (ordinal_type j=0; j<sz; j++){
(*A)(i,j)=(*A)(i,j)/(D(i,0)*D(j,0));
}
}
//Scale b by inv(D)
for (ordinal_type i=0; i<sz; i++){
(*B)(i,0)=(*B)(i,0)/D(i,0);
}
}
if (linear == 1){
//Compute M, the linear matrix to be used in the preconditioner
pb = basis->dimension()+1;
M->putScalar(0.0);
if (pb < Cijk->num_k())
k_end = Cijk->find_k(pb);
for (typename Cijk_type::k_iterator k_it=k_begin; k_it!=k_end; ++k_it) {
k = index(k_it);
for ( typename Cijk_type::kj_iterator j_it = Cijk->j_begin(k_it);
j_it != Cijk->j_end(k_it); ++j_it) {
j = index(j_it);
for ( typename Cijk_type::kji_iterator i_it = Cijk->i_begin(j_it);
i_it != Cijk->i_end(j_it); ++i_it) {
i = index(i_it);
cijk = value(i_it);
(*M)(i,j) += cijk*cb[k];
}
}
}
//Scale M
if (equil == 1){
//Compute inv(D)*M*inv(D)
for (ordinal_type i=0; i<sz; i++){
for (ordinal_type j=0; j<sz; j++){
(*M)(i,j)=(*M)(i,j)/(D(i,0)*D(j,0));
}
}
}
CG(*A,*X,*B, max_it, tol, prec_iter, basis->order(), basis->dimension(), PrecNum, *M, diag);
}
else{
CG(*A,*X,*B, max_it, tol, prec_iter, basis->order(), basis->dimension(), PrecNum, *A, diag);
}
if (equil == 1 ) {
//Rescale X
for (ordinal_type i=0; i<sz; i++){
(*X)(i,0)=(*X)(i,0)/D(i,0);
}
}
// Compute c
for (ordinal_type i=0; i<pc; i++)
cc[i] = alpha*(*X)(i,0) + beta*cc[i];
}
else {
for (ordinal_type i=0; i<pc; i++)
cc[i] = alpha*ca[i]/cb[0] + beta*cc[i];
}
}