|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD | |||||||||
java.lang.Objectorg.ejml.alg.dense.linsol.LinearSolverUnrolled
public class LinearSolverUnrolled
Solver which uses an unrolled inverse to compute the inverse. This can only invert matrices and not solve. This is faster than LU inverse but only supports small matrices..
| Constructor Summary | |
|---|---|
LinearSolverUnrolled()
|
|
| Method Summary | |
|---|---|
void |
invert(DenseMatrix64F A_inv)
Computes the inverse of of the 'A' matrix passed into LinearSolver.setA(org.ejml.data.Matrix64F)
and writes the results to the provided matrix. |
boolean |
modifiesA()
Returns true if the passed in matrix to LinearSolver.setA(org.ejml.data.Matrix64F)
is modified. |
boolean |
modifiesB()
Returns true if the passed in 'B' matrix to LinearSolver.solve(org.ejml.data.Matrix64F, org.ejml.data.Matrix64F)
is modified. |
double |
quality()
Returns a very quick to compute measure of how singular the system is. |
boolean |
setA(DenseMatrix64F A)
Specifies the A matrix in the linear equation. |
void |
solve(DenseMatrix64F B,
DenseMatrix64F X)
Solves for X in the linear system, A*X=B. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public LinearSolverUnrolled()
| Method Detail |
|---|
public boolean setA(DenseMatrix64F A)
LinearSolver
Specifies the A matrix in the linear equation. A reference might be saved
and it might also be modified depending on the implementation. If it is modified
then LinearSolver.modifiesA() will return true.
If this value returns true that does not guarantee a valid solution was generated. This is because some decompositions don't detect singular matrices.
setA in interface LinearSolver<DenseMatrix64F>A - The 'A' matrix in the linear equation. Might be modified or save the reference.
public double quality()
LinearSolverReturns a very quick to compute measure of how singular the system is. This measure will be invariant to the scale of the matrix and always be positive, with larger values indicating it is less singular. If not supported by the solver then the runtime exception IllegalArgumentException is thrown. This is NOT the matrix's condition.
How this function is implemented is not specified. One possible implementation is the following: In many decompositions a triangular matrix is extracted. The determinant of a triangular matrix is easily computed and once normalized to be scale invariant and its absolute value taken it will provide functionality described above.
quality in interface LinearSolver<DenseMatrix64F>
public void solve(DenseMatrix64F B,
DenseMatrix64F X)
LinearSolverSolves for X in the linear system, A*X=B.
In some implementations 'B' and 'X' can be the same instance of a variable. Call
LinearSolver.modifiesB() to determine if 'B' is modified.
solve in interface LinearSolver<DenseMatrix64F>B - A matrix ℜ m × p. Might be modified.X - A matrix ℜ n × p, where the solution is written to. Modified.public void invert(DenseMatrix64F A_inv)
LinearSolverLinearSolver.setA(org.ejml.data.Matrix64F)
and writes the results to the provided matrix. If 'A_inv' needs to be different from 'A'
is implementation dependent.
invert in interface LinearSolver<DenseMatrix64F>A_inv - Where the inverted matrix saved. Modified.public boolean modifiesA()
LinearSolverLinearSolver.setA(org.ejml.data.Matrix64F)
is modified.
modifiesA in interface LinearSolver<DenseMatrix64F>public boolean modifiesB()
LinearSolverLinearSolver.solve(org.ejml.data.Matrix64F, org.ejml.data.Matrix64F)
is modified.
modifiesB in interface LinearSolver<DenseMatrix64F>
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD | |||||||||