gtsam 4.2.0
gtsam
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Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level 1234]
 Nboost
 NgtsamGlobal functions in a separate testing namespace
 CDiscreteValuesThe Factor::error simply extracts the
 CGaussianConditionalNormalization constant
 CHybridValuesError
 CJacobianFactorIn Gaussian factors, the error function returns either the negative log-likelihood, e.g., 0.5*(A*x-b)'D(A*x-b) for a negative log-density, e.g., 0.5*(A*x-b)'D(A*x-b) - log(k) for a
 CNoiseModelFactorNoise model to the factor, and calculates the error by asking the user to implement the method
 COnlySymbolic elimination etc
 CValuesIn nonlinear factors, the error function returns the negative log-likelihood as a non-linear function of the values in a
 CVectorValuesThe Factor::error simply extracts the