No robust kernel, use standard least squares: rho(r) = r^2.
Definition at line 39 of file robust_kernels.h.
#include <mrpt/math/robust_kernels.h>
Public Member Functions | |
T | eval (const T r2, T &out_1st_deriv, T &out_2nd_deriv) |
Evaluates the kernel function for the squared error r2 and returns robustified squared error and derivatives of sqrt(2*rho(r)) at this point. More... | |
Public Attributes | |
T | param_sq |
The kernel parameter (the "threshold") squared [Not used in this class, provided for consistency with the other classes]. More... | |
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inline |
Evaluates the kernel function for the squared error r2 and returns robustified squared error and derivatives of sqrt(2*rho(r)) at this point.
Definition at line 48 of file robust_kernels.h.
T mrpt::math::RobustKernel< rkLeastSquares, T >::param_sq |
The kernel parameter (the "threshold") squared [Not used in this class, provided for consistency with the other classes].
Definition at line 43 of file robust_kernels.h.
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