use weights_.size() instead of passing in N
parent
79272bf8a8
commit
3bff8ad317
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@ -239,8 +239,8 @@ class Basis {
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* i.e., one row of the Kronecker product of weights_ with the
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* MxM identity matrix. See also VectorEvaluationFunctor.
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*/
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void calculateJacobian(size_t N) {
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H_.setZero(1, M_ * N);
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void calculateJacobian() {
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H_.setZero(1, M_ * EvaluationFunctor::weights_.size());
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for (int j = 0; j < EvaluationFunctor::weights_.size(); j++)
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H_(0, rowIndex_ + j * M_) = EvaluationFunctor::weights_(j);
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}
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@ -252,14 +252,14 @@ class Basis {
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/// Construct with row index
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VectorComponentFunctor(size_t M, size_t N, size_t i, double x)
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: EvaluationFunctor(N, x), M_(M), rowIndex_(i) {
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calculateJacobian(N);
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calculateJacobian();
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}
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/// Construct with row index and interval
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VectorComponentFunctor(size_t M, size_t N, size_t i, double x, double a,
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double b)
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: EvaluationFunctor(N, x, a, b), M_(M), rowIndex_(i) {
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calculateJacobian(N);
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calculateJacobian();
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}
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/// Calculate component of component rowIndex_ of P
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@ -460,8 +460,8 @@ class Basis {
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* i.e., one row of the Kronecker product of weights_ with the
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* MxM identity matrix. See also VectorDerivativeFunctor.
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*/
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void calculateJacobian(size_t N) {
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H_.setZero(1, M_ * N);
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void calculateJacobian() {
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H_.setZero(1, M_ * this->weights_.size());
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for (int j = 0; j < this->weights_.size(); j++)
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H_(0, rowIndex_ + j * M_) = this->weights_(j);
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}
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@ -473,14 +473,14 @@ class Basis {
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/// Construct with row index
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ComponentDerivativeFunctor(size_t M, size_t N, size_t i, double x)
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: DerivativeFunctorBase(N, x), M_(M), rowIndex_(i) {
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calculateJacobian(N);
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calculateJacobian();
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}
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/// Construct with row index and interval
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ComponentDerivativeFunctor(size_t M, size_t N, size_t i, double x, double a,
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double b)
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: DerivativeFunctorBase(N, x, a, b), M_(M), rowIndex_(i) {
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calculateJacobian(N);
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calculateJacobian();
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}
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/// Calculate derivative of component rowIndex_ of F
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double apply(const Matrix& P,
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