MinimumError keeps the inv.
2nd derivative (inv. Hessian) used for calculating the Parameter step size (-V*g) and for the covariance Update (ErrorUpdator). The covariance matrix is equal to twice the inv. Hessian.
Definition at line 26 of file MinimumError.h.
Public Types | |
using | MnHesseFailed = BasicMinimumError::MnHesseFailed |
using | MnInvertFailed = BasicMinimumError::MnInvertFailed |
using | MnMadePosDef = BasicMinimumError::MnMadePosDef |
using | MnNotPosDef = BasicMinimumError::MnNotPosDef |
Public Member Functions | |
MinimumError (const MnAlgebraicSymMatrix &mat, double dcov) | |
MinimumError (const MnAlgebraicSymMatrix &mat, MnHesseFailed) | |
MinimumError (const MnAlgebraicSymMatrix &mat, MnInvertFailed) | |
MinimumError (const MnAlgebraicSymMatrix &mat, MnMadePosDef) | |
MinimumError (const MnAlgebraicSymMatrix &mat, MnNotPosDef) | |
MinimumError (unsigned int n) | |
double | Dcovar () const |
bool | HesseFailed () const |
MnAlgebraicSymMatrix | Hessian () const |
bool | InvertFailed () const |
const MnAlgebraicSymMatrix & | InvHessian () const |
bool | IsAccurate () const |
bool | IsAvailable () const |
bool | IsMadePosDef () const |
bool | IsPosDef () const |
bool | IsValid () const |
MnAlgebraicSymMatrix | Matrix () const |
Private Attributes | |
std::shared_ptr< BasicMinimumError > | fData |
#include <Minuit2/MinimumError.h>
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