Add two utility functions to HighsDomain.cpp

extern/zstr/strict_fstream.hpp

@@ -17,7 +17,7 @@
 namespace strict_fstream
 {
 
-// Help people out a bit, it seems like this is a common recommenation since
+// Help people out a bit, it seems like this is a common recommendation since
 // musl breaks all over the place.
 #if defined(__NEED_size_t) && !defined(__MUSL__)
 #warning "It seems to be recommended to patch in a define for __MUSL__ if you use musl globally: https://www.openwall.com/lists/musl/2013/02/10/5"

src/ipm/ipx/crossover.h

@@ -44,7 +44,7 @@ class Crossover {
     // as long as the Crossover object is used.
     Crossover(const Control& control);
 
-    // First runs the dual push phase; if this was succesful, then runs the
+    // First runs the dual push phase; if this was successful, then runs the
     // primal push phase.
     //
     // weights: Must either be NULL or an array of size n+m.

src/ipm/ipx/forrest_tomlin.h

@@ -11,7 +11,7 @@ namespace ipx {
 
 // Generic implementation of the Forrest-Tomlin update [1] that can be used with
 // any LU factorization. The implementation does not exploit hypersparsity,
-// which exludes its use for such problems. For non-hypersparse problems the
+// which excludes its use for such problems. For non-hypersparse problems the
 // implementation is better suited than BASICLU, however, because it stores L
 // and U in compressed form with permuted indices; hence solving triangular
 // systems with a dense rhs/lhs accesses memory contiguously. BASICLU could not

src/ipm/ipx/indexed_vector.h

@@ -24,7 +24,7 @@ namespace ipx {
 // otherwise.
 //
 // When modifying the vector changes its pattern (e.g. by writing to v[i] for an
-// arbitray index i), you have to invalidate the pattern or provide the new one.
+// arbitrary index i), you have to invalidate the pattern or provide the new one.
 
 class IndexedVector {
 public:

src/ipm/ipx/iterate.cc

@@ -279,7 +279,7 @@ void Iterate::Postprocess() {
 
     // For fixed variables compute xl[j] and xu[j] from x[j]. If the lower and
     // upper bound are equal, set zl[j] or zu[j] such that the variable is dual
-    // feasibile. Otherwise leave them zero.
+    // feasible. Otherwise leave them zero.
     for (Int j = 0; j < n+m; j++) {
         if (StateOf(j) == State::fixed) {
             xl_[j] = x_[j] - lb[j];

src/ipm/ipx/iterate.h

@@ -77,7 +77,7 @@ class Iterate {
     double zl(Int j) const { return zl_[j]; }
     double zu(Int j) const { return zu_[j]; }
 
-    // Returns const rerefences to the residual vectors
+    // Returns const references to the residual vectors
     // rb = b-AI*x,
     // rl = lb-x+xl,
     // ru = ub-x-xu,
@@ -155,7 +155,7 @@ class Iterate {
     double presidual() const;
     double dresidual() const;
 
-    // copmlementarity() returns the sum of the pairwise complementarity
+    // complementarity() returns the sum of the pairwise complementarity
     // products xl[j]*zl[j] and xu[j]*zu[j] from all barrier terms. mu()
     // returns the average, mu_min() the minimum and mu_max() the maximum.
     double complementarity() const;

src/ipm/ipx/lu_factorization.h

@@ -38,7 +38,7 @@ class LuFactorization {
     //                       kLuDependencyTol as absolute pivot tolerance and to
     //                       remove columns from the active submatrix
     //                       immediately when all entries became smaller than
-    //                       the abolute pivot tolerance. Need not be supported
+    //                       the absolute pivot tolerance. Need not be supported
     //                       by the implementation.
     // @L, @U: return the matrix factors with sorted indices. The objects are
     //         resized as necessary.

src/ipm/ipx/lu_update.h

@@ -25,7 +25,7 @@ class LuUpdate {
     //                       kLuDependencyTol as absolute pivot tolerance and to
     //                       remove columns from the active submatrix
     //                       immediately when all entries became smaller than
-    //                       the abolute pivot tolerance. Need not be supported
+    //                       the absolute pivot tolerance. Need not be supported
     //                       by the implementation.
     //
     // Factorize() cannot fail other than for out of memory, in which case

src/ipm/ipx/sparse_utils.h

@@ -16,7 +16,7 @@ namespace ipx {
 //               have previously been unmarked; they are marked now and newtop
 //               is returned.
 // @marked, @marker Node i is "marked" iff @marked[i] == @marker.
-// @work worksapce of size # rows of A.
+// @work workspace of size # rows of A.
 //
 // The code has been copied and adapted from cs_dfs.c, included in the CSPARSE
 // package [1].

src/lp_data/HighsInterface.cpp

@@ -2198,7 +2198,7 @@ void Highs::formIllConditioningLp0(HighsLp& ill_conditioning_lp,
     ill_conditioning_matrix.value_.push_back(1.0);
     ill_conditioning_matrix.start_.push_back(
         HighsInt(ill_conditioning_matrix.index_.size()));
-    // Subracting x_- with cost 1
+    // Subtracting x_- with cost 1
     ill_conditioning_lp.col_cost_.push_back(1);
     ill_conditioning_lp.col_lower_.push_back(0);
     ill_conditioning_lp.col_upper_.push_back(kHighsInf);
@@ -2312,7 +2312,7 @@ void Highs::formIllConditioningLp1(HighsLp& ill_conditioning_lp,
   }
   assert(ill_conditioning_lp.num_col_ == incumbent_num_row);
   if (constraint) {
-    // Add the identiy matrix for constraint y - u + w = 0
+    // Add the identity matrix for constraint y - u + w = 0
     for (HighsInt iRow = 0; iRow < incumbent_num_row; iRow++) {
       ill_conditioning_matrix.index_.push_back(iRow);
       ill_conditioning_matrix.value_.push_back(1.0);

src/lp_data/HighsSolve.cpp

@@ -254,7 +254,7 @@ HighsStatus solveUnconstrainedLp(const HighsOptions& options, const HighsLp& lp,
 
   if (lp.num_row_ > 0) {
     // Assign primal, dual and basis status for rows, checking for
-    // infeasiblility
+    // infeasibility
     for (HighsInt iRow = 0; iRow < lp.num_row_; iRow++) {
       double primal_infeasibility = 0;
       double lower = lp.row_lower_[iRow];