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				|  | @ -275,10 +275,7 @@ void LevenbergMarquardtOptimizer::iterate() { | ||||||
|           step_is_successful = modelFidelity > params_.minModelFidelity; |           step_is_successful = modelFidelity > params_.minModelFidelity; | ||||||
|           if (lmVerbosity >= LevenbergMarquardtParams::TRYLAMBDA) |           if (lmVerbosity >= LevenbergMarquardtParams::TRYLAMBDA) | ||||||
|             cout << "modelFidelity: " << modelFidelity << endl; |             cout << "modelFidelity: " << modelFidelity << endl; | ||||||
|         } |         } // else we consider the step non successful and we either increase lambda or stop if error change is small
 | ||||||
|         //else {
 |  | ||||||
|         //  step_is_successful = true; // linearizedCostChange close to zero
 |  | ||||||
|         //}
 |  | ||||||
| 
 | 
 | ||||||
|         double minAbsoluteTolerance = params_.relativeErrorTol * state_.error; |         double minAbsoluteTolerance = params_.relativeErrorTol * state_.error; | ||||||
|         // if the change is small we terminate
 |         // if the change is small we terminate
 | ||||||
|  |  | ||||||
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