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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> (cherry picked from commit 4f8d0ac304801e1706f87b64477e1f50a7796b55) Signed-off-by: Armin Kuster <akuster808@gmail.com>