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