| Package | Description |
|---|---|
| math.fun |
Basic functions for math computations.
|
| math.optim |
Mathematical optimization
|
| Modifier and Type | Class and Description |
|---|---|
class |
NumericalDiffDMultiFunction
Finite difference numerical gradient calculation using the forward difference
approximation
f'(x) = (f(x + h) - f(x)) / h. |
| Modifier and Type | Method and Description |
|---|---|
static DMultiFunctionEval |
CGOptimizer.maximize(DiffDMultiFunction function,
double[] initial) |
static DMultiFunctionEval |
CGOptimizer.maximize(DiffDMultiFunction function,
double functionTolerance,
double[] initial) |
static DMultiFunctionEval |
CGOptimizer.maximize(DiffDMultiFunction function,
double functionTolerance,
double[] initial,
int maxIterations) |
static DMultiFunctionEval |
CGOptimizer.maximize(DiffDMultiFunction function,
double functionTolerance,
double[] initial,
int maxIterations,
boolean silent) |
static DMultiFunctionEval |
CGOptimizer.minimize(DiffDMultiFunction function,
double[] initial) |
static DMultiFunctionEval |
CGOptimizer.minimize(DiffDMultiFunction function,
double functionTolerance,
double[] initial) |
static DMultiFunctionEval |
CGOptimizer.minimize(DiffDMultiFunction function,
double functionTolerance,
double[] initial,
int maxIterations) |
static DMultiFunctionEval |
CGOptimizer.minimize(DiffDMultiFunction function,
double functionTolerance,
double[] initial,
int maxIterations,
boolean silent) |
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