| Modifier and Type | Method and Description |
|---|---|
abstract NumericSolution |
LocalSearch.minimize(double[] x_0,
CostEvaluationMethod evaluate,
GradientEvaluationMethod calc_gradient,
TerminationEvaluationMethod should_terminate,
Object constraint) |
static LineSearchResult |
LineSearch.search(double[] x_0,
double fx_0,
double[] direction,
CostEvaluationMethod evaluate,
GradientEvaluationMethod calc_gradient,
double[] lower_bounds,
double[] upper_bounds,
Object constraints) |
| Modifier and Type | Method and Description |
|---|---|
NumericSolution |
NonlinearCGSearch.minimize(double[] x_0,
CostEvaluationMethod evaluate,
GradientEvaluationMethod calc_gradient,
TerminationEvaluationMethod should_terminate,
Object constraint) |
| Modifier and Type | Method and Description |
|---|---|
NumericSolution |
SweepingSearch.minimize(double[] x_0,
CostEvaluationMethod evaluate,
GradientEvaluationMethod calc_gradient,
TerminationEvaluationMethod should_terminate,
Object constraint) |
NumericSolution |
RandomSearch.minimize(double[] x_0,
CostEvaluationMethod evaluate,
GradientEvaluationMethod calc_gradient,
TerminationEvaluationMethod should_terminate,
Object constraint) |
| Modifier and Type | Field and Description |
|---|---|
protected GradientEvaluationMethod |
GlmAlgorithm.evaluateGradient |
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