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License-Update: Copyright updated to 2.2.0.
Changelog:
==========
-Substantial improvement to threading performance across the board
-Mixed precision solves + iterative refinement when using CUDA or CPU based
dense linear solvers, or EIGEN_SPARSE as the sparse linear algebra library.
-Cuda based CGNR and preconditioner support
-Nested Dissection (NESDIS) is now supported as an ordering method in addition
to AMD.
-Power Bundle Adjustment is available as a linear solver and as a preconditioner
by the name of SCHUR POWER SERIES EXPANSION
-Generalized Euler Angle conversions
Signed-off-by: Wang Mingyu <wangmy@fujitsu.com>
Signed-off-by: Khem Raj <raj.khem@gmail.com>
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