Matrix computations (3rd ed.)
Smooth invariant interpolation of rotations
ACM Transactions on Graphics (TOG)
A Mathematical Introduction to Robotic Manipulation
A Mathematical Introduction to Robotic Manipulation
Computing the square root and logarithm of real P-orthogonal matrix
Applied Numerical Mathematics
The Scaling and Squaring Method for the Matrix Exponential Revisited
SIAM Journal on Matrix Analysis and Applications
Functions of Matrices: Theory and Computation (Other Titles in Applied Mathematics)
Functions of Matrices: Theory and Computation (Other Titles in Applied Mathematics)
Padé and Gregory error estimates for the logarithm of block triangular matrices
Applied Numerical Mathematics
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Two widely used methods for computing matrix exponentials and matrix logarithms are, respectively, the scaling and squaring and the inverse scaling and squaring. Both methods become effective when combined with Pade approximation. This paper deals with the computation of exponentials of skew-symmetric matrices and logarithms of orthogonal matrices. Our main goal is to improve these two methods by exploiting the special structure of skew-symmetric and orthogonal matrices. Geometric features of the matrix exponential and logarithm and extensions to the special Euclidean group of rigid motions are also addressed.