Package | Description |
---|---|
com.imsl.datamining.neural |
Neural networks.
|
com.imsl.math |
Mathematical functions and algorithms.
|
com.imsl.test.example.stat |
Statistics examples.
|
Modifier and Type | Class and Description |
---|---|
protected class |
QuasiNewtonTrainer.BlockGradObjective |
protected class |
QuasiNewtonTrainer.BlockObjective |
protected class |
QuasiNewtonTrainer.GradObjective
The Objective class is passed to the optimizer.
|
protected class |
QuasiNewtonTrainer.Objective
The Objective class is passed to the optimizer.
|
Modifier and Type | Interface and Description |
---|---|
static interface |
MinUnconMultiVar.Gradient
Public interface for the user supplied gradient to the
MinUnconMultiVar object. |
static interface |
MinUnconMultiVar.Hessian
Public interface for the user supplied Hessian to the
MinUnconMultiVar object. |
Modifier and Type | Method and Description |
---|---|
double[] |
MinUnconMultiVar.computeMin(MinUnconMultiVar.Function F)
Return the minimum point of a function of n variables of type
double
using a finite-difference gradient or using a user-supplied gradient. |
Modifier and Type | Class and Description |
---|---|
class |
KalmanFilterEx2
Estimates a moving average model \(\text{MA}(1)\) using the Kalman filter.
|
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