Fixed some compile errors related to rename

release/4.3a0
Frank Dellaert 2013-10-25 19:16:15 +00:00
parent ad2fb1166b
commit fccdc46180
5 changed files with 5 additions and 5 deletions

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@ -104,7 +104,7 @@ int main(int argc, char** argv) {
LevenbergMarquardtParams parameters;
parameters.verbosity = NonlinearOptimizerParams::ERROR;
parameters.verbosityLM = LevenbergMarquardtParams::LAMBDA;
parameters.linearSolverType = NonlinearSolverParams::CONJUGATE_GRADIENT;
parameters.linearSolverType = NonlinearOptimizerParams::CONJUGATE_GRADIENT;
{
parameters.iterativeParams = boost::make_shared<SubgraphSolverParameters>();

View File

@ -442,7 +442,7 @@ void runBatch()
gttic_(Create_optimizer);
GaussNewtonParams params;
params.linearSolverType = NonlinearSolverParams::MULTIFRONTAL_CHOLESKY;
params.linearSolverType = NonlinearOptimizerParams::MULTIFRONTAL_CHOLESKY;
GaussNewtonOptimizer optimizer(measurements, initial, params);
gttoc_(Create_optimizer);
double lastError;

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@ -58,7 +58,7 @@ Values BatchOptimize(const NonlinearFactorGraph& graph, const Values& theta, int
// parameters.lambdaInitial = 1;
// parameters.verbosity = NonlinearOptimizerParams::ERROR;
// parameters.verbosityLM = ISAM2Params::DAMPED;
// parameters.linearSolverType = NonlinearSolverParams::MULTIFRONTAL_QR;
// parameters.linearSolverType = NonlinearOptimizerParams::MULTIFRONTAL_QR;
// it is the same as the input graph, but we removed the empty factors that may be present in the input graph
NonlinearFactorGraph graphForISAM2;

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@ -58,7 +58,7 @@ Values BatchOptimize(const NonlinearFactorGraph& graph, const Values& theta, int
// parameters.lambdaInitial = 1;
// parameters.verbosity = NonlinearOptimizerParams::ERROR;
// parameters.verbosityLM = ISAM2Params::DAMPED;
// parameters.linearSolverType = NonlinearSolverParams::MULTIFRONTAL_QR;
// parameters.linearSolverType = NonlinearOptimizerParams::MULTIFRONTAL_QR;
ISAM2 optimizer(parameters);
optimizer.update( graph, theta );

View File

@ -57,7 +57,7 @@ Values BatchOptimize(const NonlinearFactorGraph& graph, const Values& theta, int
// parameters.lambdaInitial = 1;
// parameters.verbosity = NonlinearOptimizerParams::ERROR;
// parameters.verbosityLM = ISAM2Params::DAMPED;
// parameters.linearSolverType = NonlinearSolverParams::MULTIFRONTAL_QR;
// parameters.linearSolverType = NonlinearOptimizerParams::MULTIFRONTAL_QR;
ISAM2 optimizer(parameters);
optimizer.update( graph, theta );