Minor fixes in comments

Add Clion project directories to gitignore.

Change-Id: Ic804059bf219a0b96cf96d717936fb5fed95a4b4
This commit is contained in:
Mark Shachkov
2022-08-07 22:48:10 +03:00
parent 37516c968c
commit d881b5ccf3
4 changed files with 8 additions and 5 deletions
+2 -1
View File
@@ -23,6 +23,7 @@ jni/libs/
.buildinfo
bazel-*
*.pyc
.idea*
cmake-build
cmake-build*
small-blas-benchmarks
@@ -160,13 +160,15 @@ std::unique_ptr<LinearLeastSquaresProblem> LinearLeastSquaresProblem0() {
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
+1 -1
View File
@@ -54,7 +54,7 @@ namespace ceres::internal {
// 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.
//
@@ -55,7 +55,7 @@ PartitionedMatrixView<kRowBlockSize, kEBlockSize, kFBlockSize>::
// 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 @@ void PartitionedMatrixView<kRowBlockSize, kEBlockSize, kFBlockSize>::
// 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>