Vector<dataType> mvmul(const MatrixExpression<MT,dataType> &A,
const VectorExpression<VT,dataType> &x) {
#ifndef _OPTIMIZED
//ensure proper dimensions
if(A.cols() != x.size()) {
throw std::length_error("mvmul dimension mismatch");
}
#endif
Vector<dataType> b(A.rows());
#ifdef _OPENMP
#pragma omp parallel for
#endif
for(std::size_t i=0; i<A.rows(); ++i) {
dataType sum(0);
auto N = A.cols()/4;
auto NN = 4*N;
for(std::size_t j=0; j<NN; j+= 4) {
sum += A(i,j+0)*x(j+0);
sum += A(i,j+1)*x(j+1);
sum += A(i,j+2)*x(j+2);
sum += A(i,j+3)*x(j+3);
}
for(std::size_t j=NN; j<A.cols(); ++j) {
sum += A(i,j)*x(j);
}
b(i) = sum;
}
return b;
}
Vector(VectorExpression<E> const& other) : values(other.size()) {
for (std::size_t i=0; i<other.size(); i++) {
values[i] = other[i];
}
}
