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EmrysFilter 0.1.0
State estimation utilities in C++23 using Eigen
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What a function returns when it knows its Jacobian: its value, and the Jacobian of its output differences in its uncertain inputs' differences, at the same point (decisions.md [returned-jacobians]). More...
#include <EmrysFilter/Models/Methods.h>
Public Attributes | |
| Value | value |
| the function's value | |
| Jacobian | jacobian |
| its Jacobian, one matrix or a tuple of blocks | |
What a function returns when it knows its Jacobian: its value, and the Jacobian of its output differences in its uncertain inputs' differences, at the same point (decisions.md [returned-jacobians]).
Made by withJacobian().
Jacobian is one matrix when the function has one uncertain input, and otherwise a std::tuple of blocks, one per uncertain input in order, each with a row per output difference coordinate and a column per difference coordinate of its input. A model's function returns one matrix over its whole input instead, rows in its output's differences and columns in its input's (decisions.md [returned-jacobians]).