Class List

Here are the classes, structs, unions and interfaces with brief descriptions:
Cholesky< Size, Precision >Decomposes a positive-semidefinite symmetric matrix A (such as a covariance) into L*D*L^T, where L is lower-triangular and D is diagonal
ConjugateGradient< Size, Precision >This class provides a nonlinear conjugate-gradient optimizer
DiagonalMatrix< Size, Precision, Base >A diagonal matrix
DownhillSimplex< N, Precision >This is an implementation of the Downhill Simplex (Nelder & Mead, 1965) algorithm
GR_SVD< M, N, Precision, WANT_U, WANT_V >Performs SVD and back substitute to solve equations
ILinear< Precision >A reweighting class representing no reweighting in IRLS
IRLS< Size, Precision, Reweight >Performs iterative reweighted least squares
IsField< C >Is a number a field? ie, +, -, *, / defined
Lapack_Cholesky< Size, Precision >Decomposes a positive-semidefinite symmetric matrix A (such as a covariance) into L*L^T, where L is lower-triangular
LineSearch< Size, Precision, Func >Turn a multidimensional function in to a 1D function by specifying a point and direction
LU< Size, Precision >Performs LU decomposition and back substitutes to solve equations
Matrix< Rows, Cols, Precision, Layout >A matrix
RobustI< Precision >Robust reweighting (type I) for IRLS
RobustII< Precision >Robust reweighting (type II) for IRLS
RobustIII< Precision >A reweighting class where the objective function tends to a fixed value, rather than infinity
SE2< Precision >Represent a two-dimensional Euclidean transformation (a rotation and a translation)
SE3< Precision >Represent a three-dimensional Euclidean transformation (a rotation and a translation)
SL< N, Precision >Element from the group SL(n), the NxN matrices M with det(M) = 1
SO2< Precision >Class to represent a two-dimensional rotation matrix
SO3< Precision >Class to represent a three-dimensional rotation matrix
SQSVD< Size, Precision >Version of SVD forced to be square princiapally here to allow use in WLS
SVD< Rows, Cols, Precision >Performs SVD and back substitute to solve equations
SymEigen< Size, Precision >Performs eigen decomposition of a matrix
Vector< Size, Precision, Base >A vector
WLS< Size, Precision, Decomposition >Performs Gauss-Newton weighted least squares computation

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