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Wang Mingyu
4f8d0ac304
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>
Collection of layers for the OE-core universe
Main layer maintainer: Khem Raj raj.khem@gmail.com
This repository is a collection of layers to suppliment OE-Core with additional packages, Each layer have designated maintainer Please see the respective READMEs in the layer subdirectories