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more comments and debug info

release/4.3a0
thduynguyen 2014-08-05 21:55:50 -04:00
parent 47ed9f3687
commit c6d541741b
1 changed files with 15 additions and 2 deletions
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17
gtsam/linear/QPSolver.cpp
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@ -287,8 +287,6 @@ boost::tuple<double, int, int> QPSolver::computeStepSize(const GaussianFactorGra
if (debug) cout << "s, ajTp, b[s]: " << s << " " << ajTp << " " << b[s] << endl;
// Check if aj'*p >0. Don't care if it's not.
// if (ajTp - b[s]>0)
// throw std::runtime_error("Infeasible point detected. Please choose a feasible initial values!");
if (ajTp<=0) continue;
// Compute aj'*xk
@ -335,6 +333,7 @@ bool QPSolver::iterateInPlace(GaussianFactorGraph& workingGraph, VectorValues& c
int factorIx, sigmaIx;
boost::tie(factorIx, sigmaIx) = findWorstViolatedActiveIneq(lambdas);
if (debug) cout << "violated active ineq - factorIx, sigmaIx: " << factorIx << " " << sigmaIx << endl;
// Try to disactivate the weakest violated ineq constraints
// if not successful, i.e. all ineq constraints are satisfied: We have the solution!!
@ -354,6 +353,14 @@ bool QPSolver::iterateInPlace(GaussianFactorGraph& workingGraph, VectorValues& c
updateWorkingSetInplace(workingGraph, factorIx, sigmaIx, 0.0);
// step!
currentSolution = currentSolution + alpha * p;
// if (alpha <1e-5) {
// if (debug) cout << "Building dual graph..." << endl;
// GaussianFactorGraph dualGraph = buildDualGraph(workingGraph, newSolution);
// if (debug) dualGraph.print("Dual graph: ");
// lambdas = dualGraph.optimize();
// if (debug) lambdas.print("lambdas :");
// return true; // TODO: HACK HACK!!!
// }
}
return false;
@ -461,6 +468,7 @@ std::pair<GaussianFactorGraph::shared_ptr, VectorValues> QPSolver::constraintsLP
/* ************************************************************************* */
std::pair<bool, VectorValues> QPSolver::findFeasibleInitialValues() const {
static const bool debug = false;
// Initial values with slack variables for the LP subproblem, Nocedal06book, pg.473
VectorValues initials;
size_t firstSlackKey;
@ -478,6 +486,11 @@ std::pair<bool, VectorValues> QPSolver::findFeasibleInitialValues() const {
LPSolver lpSolver(objectiveLP, constraints, slackLowerBounds);
VectorValues solution = lpSolver.solve();
if (debug) initials.print("Initials LP: ");
if (debug) objectiveLP.print("Objective LP: ");
if (debug) constraints->print("Constraints LP: ");
if (debug) solution.print("LP solution: ");
// Remove slack variables from solution
double slackSum = 0.0;
for (Key key = firstSlackKey; key < firstSlackKey+constraintIndices_.size(); ++key) {