Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...
Homogeneous vector and plane, homogeneous transformation, position and orientation transformations, kinematics and inverse kinematic solutions of robot manipulators and mobile robots, Jacobian and ...
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