Package | Description |
---|---|
gov.sandia.cognition.learning.algorithm.minimization.matrix |
Provides matrix solving algorithms.
|
gov.sandia.cognition.learning.algorithm.semisupervised.valence |
Modifier and Type | Class and Description |
---|---|
class |
IterativeMatrixSolver<Operator extends MatrixVectorMultiplier>
Base class for all iterative matrix solvers that takes care of most of the
basic iterative logic and the function minimizer interface.
|
Modifier and Type | Class and Description |
---|---|
class |
MatrixVectorMultiplierDiagonalPreconditioner
Implements a diagonal preconditioner for a matrix-vector multiplier.
|
class |
MatrixVectorMultiplierWithPreconditioner
As various preconditioner operations could be created, this class defines the
interface that must be followed by them.
|
class |
OverconstrainedMatrixVectorMultiplier
Implements an overconstrainted matrix-vector multiplication.
|
Modifier and Type | Method and Description |
---|---|
protected void |
ConjugateGradientMatrixSolver.initializeSolver(MatrixVectorMultiplier function) |
protected void |
SteepestDescentMatrixSolver.initializeSolver(MatrixVectorMultiplier function) |
Modifier and Type | Class and Description |
---|---|
class |
MultipartiteValenceMatrix
This class implements a semi-supervised learning algorithm for spreading
"valence" across a multi-partite graph.
|