Lint cleanup from William Rucklidge

Change-Id: Id8b99a2f557efe3744e95a3947f26cdc0c9c269e
This commit is contained in:
Sameer Agarwal
2013-04-22 10:18:18 -07:00
parent 36f4cd23b2
commit cbdeb79e91
4 changed files with 9 additions and 8 deletions
+1 -1
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@@ -372,7 +372,7 @@ class Solver {
// In some rare cases, it is worth using a more complicated
// reordering algorithm which has slightly better runtime
// performance at the expense of an extra copy of the Jacobian
// // matrix. Setting use_postordering to true enables this tradeoff.
// matrix. Setting use_postordering to true enables this tradeoff.
bool use_postordering;
// Some non-linear least squares problems have additional
+5 -5
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@@ -1357,8 +1357,8 @@ void SolverImpl::AlternateLinearSolverForSchurTypeLinearSolver(
// CGNR currently only supports the JACOBI preconditioner.
options->preconditioner_type = JACOBI;
} else {
msg += StringPrintf("ITERATIVE_SCHUR with IDENTITY preconditioner "
"to CGNR with IDENTITY preconditioner.");
msg += "ITERATIVE_SCHUR with IDENTITY preconditioner"
"to CGNR with IDENTITY preconditioner.";
}
}
LOG(WARNING) << msg;
@@ -1371,8 +1371,8 @@ bool SolverImpl::ReorderProgramForSchurTypeLinearSolver(
string* error) {
// At this point one of two things is true.
//
// 1. The user did not specify an ordering - ordering has one
// group containined all the parameter blocks.
// 1. The user did not specify an ordering - ordering has one group
// containing all the parameter blocks.
// 2. The user specified an ordering, and the first group has
// non-zero elements.
@@ -1425,7 +1425,7 @@ bool SolverImpl::ReorderProgramForSchurTypeLinearSolver(
TripletSparseMatrix* SolverImpl::CreateJacobianBlockSparsityTranspose(
const Program* program) {
// Matrix to store the block sparsity structure of
// Matrix to store the block sparsity structure of the Jacobian.
TripletSparseMatrix* tsm =
new TripletSparseMatrix(program->NumParameterBlocks(),
program->NumResidualBlocks(),
+1 -1
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@@ -167,7 +167,7 @@ class SolverImpl {
// by the Schur eliminator occur before others and the residuals be
// sorted in lexicographic order of their parameter blocks.
//
// If ordering has atleast two groups, then apply the ordering,
// If ordering has at least two groups, then apply the ordering,
// otherwise compute a new ordering using a Maximal Independent Set
// algorithm and apply it.
//
+2 -1
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@@ -172,7 +172,8 @@ cholmod_factor* SuiteSparse::AnalyzeCholeskyWithUserOrdering(
return factor;
}
cholmod_factor* SuiteSparse::AnalyzeCholeskyWithNaturalOrdering(cholmod_sparse* A) {
cholmod_factor* SuiteSparse::AnalyzeCholeskyWithNaturalOrdering(
cholmod_sparse* A) {
cc_.nmethods = 1;
cc_.method[0].ordering = CHOLMOD_NATURAL;
cc_.postorder = 0;