#include <Cholesky.hpp>
◆ Cholesky() [1/2]
◆ Cholesky() [2/2]
Cholesky::Cholesky |
( |
const Cholesky & |
m | ) |
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delete |
◆ ~Cholesky()
◆ evalInverse()
Evaluate the product: 'outv' = MAT^{-1} * 'inv' (ALinearOp heritage)
- Parameters
-
[in] | vecin | Array of input values |
[out] | vecout | Array of output values |
Reimplemented from ALinearOp.
◆ getLogDeterminant()
double Cholesky::getLogDeterminant |
( |
| ) |
const |
◆ getSize()
int Cholesky::getSize |
( |
| ) |
const |
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overridevirtual |
◆ isValid()
bool Cholesky::isValid |
( |
| ) |
const |
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inline |
◆ operator=()
◆ simulate()
Simulate using Cholesky
- Parameters
-
[out] | b | Input Vector |
[out] | x | Simulated output vector |
◆ solve()
◆ stdev()
int Cholesky::stdev |
( |
VectorDouble & |
vcur, |
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bool |
flagStDev = false |
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) |
| const |
Perform the calculation of the Standard Deviation of Estimation Error
- Parameters
-
[out] | vcur | Output array |
[in] | flagStDev | FALSE for a variance calculation, True for StDev. |
The documentation for this class was generated from the following files: