51 #ifdef HAVE_STOKHOS_FORUQTK
58 template <
typename OrdinalType,
typename ValueType>
71 int order =
setup.basis.order();
76 int size =
setup.basis.size();
84 for (
int i=1; i<=
setup.p; i++)
93 n1[0] =
setup.basis.norm_squared(0);
95 for (
int i=1; i<=
setup.p; i++) {
96 n1[i] =
setup.basis.norm_squared(i);
110 for (
int i=0; i<=
setup.p; i++) {
112 for (
int j=0;
j<nqp;
j++)
113 n2[i] += w[
j]*v[
j][i]*v[
j][i];
127 for (
int i=0; i<=
setup.p; i++) {
129 for (
int k=0; k<nqp; k++)
130 mat(i,
j) += w[k]*v[k][i]*v[k][
j];
137 out <<
"\n Error, mat.normInf() < atol = " << mat.
normInf()
138 <<
" < " <<
setup.atol <<
": failed!\n";
139 out <<
"mat = " << mat << std::endl;
145 setup.basis.computeTripleProductTensor();
152 for (
int i=0; i<=
setup.p; i++) {
154 for (
int k=0; k<=
setup.p; k++) {
157 for (
int qp=0; qp<nqp; qp++)
158 c += w[qp]*v[qp][i]*v[qp][
j]*v[qp][k];
159 std::stringstream ss;
160 ss <<
"Cijk(" << i <<
"," <<
j <<
"," << k <<
")";
171 setup.basis.computeDerivDoubleProductTensor();
179 for (
int i=0; i<nqp; i++) {
182 setup.basis.evaluateBasesAndDerivatives(
x[i],
val[i], deriv[i]);
186 for (
int i=0; i<=
setup.p; i++) {
189 for (
int qp=0; qp<nqp; qp++)
190 b += w[qp]*deriv[qp][i]*
val[qp][
j];
191 std::stringstream ss;
192 ss <<
"Bij(" << i <<
"," <<
j <<
")";
202 setup.basis.computeDerivDoubleProductTensor();
206 for (
int i=0; i<=
setup.p; i++) {
211 std::stringstream ss;
212 ss <<
"Bij(" << i <<
"," <<
j <<
")";
223 setup.basis.evaluateBases(
x, v1);
232 for (
int i=2; i<=
setup.p; i++)
233 v2[i] =
x*v2[i-1] - (i-1.0)*v2[i-2];
242 setup.basis.evaluateBasesAndDerivatives(
x, val1, deriv1);
251 for (
int i=2; i<=
setup.p; i++)
252 val2[i] =
x*val2[i-1] - (i-1.0)*val2[i-2];
257 for (
int i=2; i<=
setup.p; i++)
258 deriv2[i] = i*val2[i-1];
271 for (
int i=0; i<=
setup.p; i++)
272 v1[i] =
setup.basis.evaluate(
x, i);
281 for (
int i=2; i<=
setup.p; i++)
282 v2[i] =
x*v2[i-1] - (i-1.0)*v2[i-2];
292 setup.basis.getRecurrenceCoefficients(a1, b1, c1, d1);
295 a2[0] = 0.0; b2[0] = 1.0; c2[0] = 1.0; d2[0] = 1.0;
296 for (
int i=1; i<=
setup.p; i++) {
318 setup.basis.getRecurrenceCoefficients(a1, b1, c1, d1);
326 for (
int i=0; i<=
setup.p; i++) {
328 for (
int j=0;
j<nqp;
j++)
329 a2[i] += w[
j]*
x[
j]*v[
j][i]*v[
j][i];
330 a2[i] = a2[i]*c1[i]/n1[i];
342 setup.basis.getRecurrenceCoefficients(a1, b1, c1, d1);
347 for (
int i=1; i<=
setup.p; i++) {
348 b2[i] = d1[i]*(c1[i]/c1[i-1])*(n1[i]/n1[i-1]);
354 #ifdef HAVE_STOKHOS_DAKOTA
356 int n = static_cast<int>(std::ceil((
setup.p+1)/2.0));
359 setup.basis.getQuadPoints(
setup.p, x1, w1, v1);
363 webbur::hermite_compute(n, &x2[0], &w2[0]);
365 for (
int i=0; i<
n; i++) {
368 v2[i].resize(
setup.p+1);
369 setup.basis.evaluateBases(x2[i], v2[i]);
376 for (
int i=0; i<
n; i++) {
377 std::stringstream ss1, ss2;
378 ss1 <<
"v1[" << i <<
"]";
379 ss2 <<
"v2[" << i <<
"]";
387 #ifdef HAVE_STOKHOS_FORUQTK
389 int n = static_cast<int>(std::ceil((
setup.p+1)/2.0));
392 setup.basis.getQuadPoints(
setup.p, x1, w1, v1);
398 double endpts[2] = {0.0, 0.0};
402 GAUSSQ_F77(&kind, &n, &alpha, &beta, &kpts, endpts, &b[0], &x2[0], &w2[0]);
404 for (
int i=0; i<
n; i++) {
407 v2[i].resize(
setup.p+1);
408 setup.basis.evaluateBases(x2[i], v2[i]);
415 for (
int i=0; i<
n; i++) {
416 std::stringstream ss1, ss2;
417 ss1 <<
"v1[" << i <<
"]";
418 ss2 <<
"v2[" << i <<
"]";