optimize works for GaussianBayessTree
parent
edf8bfa0fa
commit
2df0e49e9b
|
@ -22,12 +22,14 @@ namespace gtsam {
|
||||||
void optimize(const GaussianBayesTree::sharedClique& clique, VectorConfig& result) {
|
void optimize(const GaussianBayesTree::sharedClique& clique, VectorConfig& result) {
|
||||||
// parents are assumed to already be solved and available in result
|
// parents are assumed to already be solved and available in result
|
||||||
GaussianBayesTree::Clique::const_reverse_iterator it;
|
GaussianBayesTree::Clique::const_reverse_iterator it;
|
||||||
for(it = clique->rend(); it!=clique->rbegin(); it++) {
|
for (it = clique->rbegin(); it!=clique->rend(); it++) {
|
||||||
GaussianConditional::shared_ptr cg = *it;
|
GaussianConditional::shared_ptr cg = *it;
|
||||||
Vector x = cg->solve(result); // Solve for that variable
|
Vector x = cg->solve(result); // Solve for that variable
|
||||||
result.insert(cg->key(), x); // store result in partial solution
|
result.insert(cg->key(), x); // store result in partial solution
|
||||||
}
|
}
|
||||||
BOOST_FOREACH(GaussianBayesTree::sharedClique child, clique->children_) {
|
BOOST_FOREACH(GaussianBayesTree::sharedClique child, clique->children_) {
|
||||||
|
// list<GaussianBayesTree::Clique::shared_ptr>::const_iterator child;
|
||||||
|
// for (child = clique->children_.begin(); child != clique->children_.end(); child++) {
|
||||||
optimize(child, result);
|
optimize(child, result);
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
@ -37,6 +39,7 @@ VectorConfig optimize(const GaussianBayesTree& bayesTree) {
|
||||||
VectorConfig result;
|
VectorConfig result;
|
||||||
// starting from the root, call optimize on each conditional
|
// starting from the root, call optimize on each conditional
|
||||||
optimize(bayesTree.root(), result);
|
optimize(bayesTree.root(), result);
|
||||||
|
return result;
|
||||||
}
|
}
|
||||||
|
|
||||||
} /// namespace gtsam
|
} /// namespace gtsam
|
||||||
|
|
|
@ -266,9 +266,12 @@ TEST( BayesTree, iSAM_smoother )
|
||||||
CHECK(assert_equal(expected, actual));
|
CHECK(assert_equal(expected, actual));
|
||||||
|
|
||||||
// obtain solution
|
// obtain solution
|
||||||
//VectorConfig expected_optimized; // no clue...
|
VectorConfig e; // expected solution
|
||||||
//VectorConfig optimized = optimize(actual);
|
Vector v = Vector_(2, 0., 0.);
|
||||||
//CHECK(assert_equal(expected_optimized, optimized));
|
for (int i=1; i<=7; i++)
|
||||||
|
e.insert(symbol('x', i), v);
|
||||||
|
VectorConfig optimized = optimize(actual); // actual solution
|
||||||
|
CHECK(assert_equal(e, optimized));
|
||||||
}
|
}
|
||||||
|
|
||||||
/* ************************************************************************* */
|
/* ************************************************************************* */
|
||||||
|
|
Loading…
Reference in New Issue