| lnsrch(double[], double, double[], double[], double[], double[], double, boolean[]) |   | 89% | | 86% | 4 | 16 | 8 | 54 | 0 | 1 |
| minimize() | | 95% | | 85% | 7 | 25 | 8 | 89 | 0 | 1 |
| setTolerance(double) | | 63% | | 50% | 1 | 2 | 1 | 4 | 0 | 1 |
| setStartPoint(double[]) | | 63% | | 50% | 1 | 2 | 1 | 4 | 0 | 1 |
| setGradientListener(GradientFunctionEvaluatorListener) | | 63% | | 50% | 1 | 2 | 1 | 4 | 0 | 1 |
| QuasiNewtonMultiOptimizer(MultiDimensionFunctionEvaluatorListener, GradientFunctionEvaluatorListener, double) | | 100% | | n/a | 0 | 1 | 0 | 6 | 0 | 1 |
| QuasiNewtonMultiOptimizer(MultiDimensionFunctionEvaluatorListener, GradientFunctionEvaluatorListener, double[], double) | | 100% | | n/a | 0 | 1 | 0 | 6 | 0 | 1 |
| QuasiNewtonMultiOptimizer() | | 100% | | n/a | 0 | 1 | 0 | 6 | 0 | 1 |
| isReady() | | 100% | | 100% | 0 | 4 | 0 | 1 | 0 | 1 |
| internalSetTolerance(double) | | 100% | | 100% | 0 | 2 | 0 | 4 | 0 | 1 |
| getStartPoint() | | 100% | | 100% | 0 | 2 | 0 | 3 | 0 | 1 |
| getGradientListener() | | 100% | | 100% | 0 | 2 | 0 | 3 | 0 | 1 |
| isStartPointAvailable() | | 100% | | 100% | 0 | 2 | 0 | 1 | 0 | 1 |
| isGradientListenerAvailable() | | 100% | | 100% | 0 | 2 | 0 | 1 | 0 | 1 |
| sqr(double) | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getTolerance() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getIterations() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |