Made private some members that should not have been public
parent
4a23971b80
commit
05b0110ac2
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@ -65,7 +65,6 @@ protected:
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typedef VerticalBlockView<AbMatrix> BlockAb;
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public:
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typedef GaussianConditional Conditional;
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typedef boost::shared_ptr<GaussianFactor> shared_ptr;
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typedef BlockAb::Block ABlock;
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@ -73,6 +72,7 @@ public:
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typedef BlockAb::Column BVector;
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typedef BlockAb::constColumn constBVector;
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protected:
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SharedDiagonal model_; // Gaussian noise model with diagonal covariance matrix
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std::vector<size_t> firstNonzeroBlocks_;
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AbMatrix matrix_; // the full matrix correponding to the factor
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@ -229,9 +229,6 @@ public:
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void set_firstNonzeroBlocks(size_t row, size_t varpos) { firstNonzeroBlocks_[row] = varpos; }
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friend class GaussianFactorGraph;
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friend class Inference;
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}; // GaussianFactor
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@ -180,8 +180,8 @@ bool GaussianFactorGraph::split(const std::map<Index, Index> &M, GaussianFactorG
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Ab2.push_back(factor);
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continue;
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}
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Index key1 = factor->keys_[0];
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Index key2 = factor->keys_[1];
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Index key1 = factor->keys()[0];
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Index key2 = factor->keys()[1];
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if ((M.find(key1) != M.end() && M.find(key1)->second == key2) ||
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(M.find(key2) != M.end() && M.find(key2)->second == key1))
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@ -210,11 +210,9 @@ bool GaussianFactorGraph::getDiagonalOfHessian(VectorValues &values) const {
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values.makeZero() ;
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BOOST_FOREACH( const sharedFactor& factor, factors_) {
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Index i = 0 ;
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BOOST_FOREACH( const Index& idx, factor->keys_) {
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Vector v = columnNormSquare(factor->Ab_(i)) ;
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values[idx] += v;
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++i ;
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for(GaussianFactor::const_iterator j = factor->begin(); j != factor->end(); ++j) {
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Vector v = columnNormSquare(factor->getA(j));
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values[*j] += v;
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}
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}
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return true ;
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@ -233,10 +231,8 @@ void GaussianFactorGraph::multiply(const VectorValues &x, VectorValues &r) const
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r.makeZero() ;
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Index i = 0 ;
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BOOST_FOREACH(const sharedFactor& factor, factors_) {
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Index j = 0 ;
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BOOST_FOREACH( const Index& idx, factor->keys_ ) {
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r[i] += prod(factor->Ab_(j), x[idx]) ;
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++j ;
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for(GaussianFactor::const_iterator j = factor->begin(); j != factor->end(); ++j) {
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r[i] += prod(factor->getA(j), x[*j]);
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}
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++i ;
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}
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@ -246,10 +242,8 @@ void GaussianFactorGraph::transposeMultiply(const VectorValues &r, VectorValues
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x.makeZero() ;
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Index i = 0 ;
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BOOST_FOREACH(const sharedFactor& factor, factors_) {
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Index j = 0 ;
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BOOST_FOREACH( const Index& idx, factor->keys_ ) {
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x[idx] += prod(trans(factor->Ab_(j)), r[i]) ;
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++j ;
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for(GaussianFactor::const_iterator j = factor->begin(); j != factor->end(); ++j) {
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x[*j] += prod(trans(factor->getA(j)), r[i]) ;
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}
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++i ;
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}
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