Minor fixes in comments Add Clion project directories to gitignore. Change-Id: Ic804059bf219a0b96cf96d717936fb5fed95a4b4
diff --git a/.gitignore b/.gitignore index 8a9403a..ca55495 100644 --- a/.gitignore +++ b/.gitignore
@@ -23,6 +23,7 @@ .buildinfo bazel-* *.pyc +.idea* -cmake-build +cmake-build* small-blas-benchmarks \ No newline at end of file
diff --git a/internal/ceres/linear_least_squares_problems.cc b/internal/ceres/linear_least_squares_problems.cc index ab75e6e..0ce37e8 100644 --- a/internal/ceres/linear_least_squares_problems.cc +++ b/internal/ceres/linear_least_squares_problems.cc
@@ -160,13 +160,15 @@ 12 0 1 17 1 0 30 1 1 37] + cond(A'A) = 200.36 + S = [ 42.3419 -1.4000 -11.5806 -1.4000 2.6000 1.0000 -11.5806 1.0000 31.1935] r = [ 4.3032 5.4000 - 5.0323] + 4.0323] S\r = [ 0.2102 2.1367
diff --git a/internal/ceres/partitioned_matrix_view.h b/internal/ceres/partitioned_matrix_view.h index 36a3450..1305720 100644 --- a/internal/ceres/partitioned_matrix_view.h +++ b/internal/ceres/partitioned_matrix_view.h
@@ -54,7 +54,7 @@ // Given generalized bi-partite matrix A = [E F], with the same block // structure as required by the Schur complement based solver, found -// in explicit_schur_complement_solver.h, provide access to the +// in schur_complement_solver.h, provide access to the // matrices E and F and their outer products E'E and F'F with // themselves. //
diff --git a/internal/ceres/partitioned_matrix_view_impl.h b/internal/ceres/partitioned_matrix_view_impl.h index 967620b..a33b86d 100644 --- a/internal/ceres/partitioned_matrix_view_impl.h +++ b/internal/ceres/partitioned_matrix_view_impl.h
@@ -55,7 +55,7 @@ // in E maybe less than the number of row blocks in the input matrix // as some of the row blocks at the bottom may not have any // e_blocks. For a definition of what an e_block is, please see - // explicit_schur_complement_solver.h + // schur_complement_solver.h num_row_blocks_e_ = 0; for (const auto& row : bs->rows) { const std::vector<Cell>& cells = row.cells; @@ -228,7 +228,7 @@ // Given a range of columns blocks of a matrix m, compute the block // structure of the block diagonal of the matrix m(:, // start_col_block:end_col_block)'m(:, start_col_block:end_col_block) -// and return a BlockSparseMatrix with the this block structure. The +// and return a BlockSparseMatrix with this block structure. The // caller owns the result. template <int kRowBlockSize, int kEBlockSize, int kFBlockSize> std::unique_ptr<BlockSparseMatrix>