BUGFIX end solution initialization in the Normal Eigen sampler ; much more asserts

This commit is contained in:
Johann Dreo 2012-07-10 15:19:55 +02:00
commit 6cdf848f26
4 changed files with 37 additions and 7 deletions

View file

@ -115,33 +115,53 @@ public:
// Computes L and D such as V = L D L^T
Eigen::LDLT<Matrix> cholesky( distrib.varcovar() );
Matrix L = cholesky.matrixL();
assert(L.innerSize() == size);
assert(L.outerSize() == size);
Matrix D = cholesky.vectorD().asDiagonal();
assert(D.innerSize() == size);
assert(D.outerSize() == size);
// now compute the final symetric matrix: LsD = L D^1/2
// remember that V = ( L D^1/2) ( L D^1/2)^T
// fortunately, the square root of a diagonal matrix is the square
// root of all its elements
Matrix sqrtD = D.cwiseSqrt();
assert(sqrtD.innerSize() == size);
assert(sqrtD.outerSize() == size);
Matrix LsD = L * sqrtD;
assert(LsD.innerSize() == size);
assert(LsD.outerSize() == size);
// T = vector of size elements drawn in N(0,1)
Vector T( size );
for ( unsigned int i = 0; i < size; ++i ) {
T( i ) = rng.normal();
}
assert(T.innerSize() == size);
assert(T.outerSize() == 1);
// LDT = (L D^1/2) * T
Vector LDT = LsD * T;
assert(LDT.innerSize() == size);
assert(LDT.outerSize() == 1);
// solution = means + LDT
Vector mean = distrib.mean();
assert(mean.innerSize() == size);
assert(mean.outerSize() == 1);
Vector typed_solution = mean + LDT;
assert(typed_solution.innerSize() == size);
assert(typed_solution.outerSize() == 1);
// copy in the EOT structure (more probably a vector)
EOT solution( size );
for( unsigned int i = 0; i < mean.innerSize(); i++ ) {
solution.push_back( typed_solution(i) );
solution[i]= typed_solution(i);
}
assert( solution.size() == size );
return solution;
}