simplifications
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@@ -87,6 +87,8 @@ op_rank::apply_diag(uword& out, Mat<eT>& A, typename get_pod_type<eT>::result to
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typedef typename get_pod_type<eT>::result T;
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out = uword(0);
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const uword N = (std::min)(A.n_rows, A.n_cols);
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podarray<T> diag_abs_vals(N);
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@@ -98,7 +100,7 @@ op_rank::apply_diag(uword& out, Mat<eT>& A, typename get_pod_type<eT>::result to
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const eT Aii = A.at(i,i);
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const T abs_Aii = std::abs(Aii);
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if(arma_isnan(Aii)) { out = uword(0); return false; }
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if(arma_isnan(Aii)) { return false; }
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diag_abs_vals[i] = abs_Aii;
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@@ -108,7 +110,7 @@ op_rank::apply_diag(uword& out, Mat<eT>& A, typename get_pod_type<eT>::result to
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// set tolerance to default if it hasn't been specified
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if(tol == T(0)) { tol = (std::max)(A.n_rows, A.n_cols) * max_abs_Aii * std::numeric_limits<T>::epsilon(); }
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if(arma_isnan(tol)) { out = uword(0); return false; }
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if(arma_isnan(tol)) { return false; }
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uword count = 0;
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@@ -130,18 +132,20 @@ op_rank::apply_sym(uword& out, Mat<eT>& A, typename get_pod_type<eT>::result tol
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typedef typename get_pod_type<eT>::result T;
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if(A.is_square() == false) { out = uword(0); return false; }
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out = uword(0);
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if(A.is_square() == false) { return false; }
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Col<T> v;
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const bool status = auxlib::eig_sym(v, A);
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if(status == false) { out = uword(0); return false; }
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if(status == false) { return false; }
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const uword v_n_elem = v.n_elem;
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T* v_mem = v.memptr();
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if(v_n_elem == 0) { out = uword(0); return true; }
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if(v_n_elem == 0) { return true; }
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T max_abs_v = T(0);
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@@ -150,7 +154,7 @@ op_rank::apply_sym(uword& out, Mat<eT>& A, typename get_pod_type<eT>::result tol
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// set tolerance to default if it hasn't been specified
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if(tol == T(0)) { tol = (std::max)(A.n_rows, A.n_cols) * max_abs_v * std::numeric_limits<T>::epsilon(); }
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if(arma_isnan(tol)) { out = uword(0); return false; }
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if(arma_isnan(tol)) { return false; }
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uword count = 0;
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@@ -172,21 +176,23 @@ op_rank::apply_gen(uword& out, Mat<eT>& A, typename get_pod_type<eT>::result tol
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typedef typename get_pod_type<eT>::result T;
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out = uword(0);
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Col<T> s;
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const bool status = auxlib::svd_dc(s, A);
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if(status == false) { out = uword(0); return false; }
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if(status == false) { return false; }
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const uword s_n_elem = s.n_elem;
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const T* s_mem = s.memptr();
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if(s_n_elem == 0) { out = uword(0); return true; }
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if(s_n_elem == 0) { return true; }
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// set tolerance to default if it hasn't been specified
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if(tol == T(0)) { tol = (std::max)(A.n_rows, A.n_cols) * s_mem[0] * std::numeric_limits<T>::epsilon(); }
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if(arma_isnan(tol)) { out = uword(0); return false; }
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if(arma_isnan(tol)) { return false; }
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uword count = 0;
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