From 8c82a8294483ffac4d8e9635376723f26a8ae27b Mon Sep 17 00:00:00 2001
From: Pjotr Prins
Date: Fri, 22 May 2020 07:15:37 -0500
Subject: Fixes for gcc (GCC) 10.1.0 Started to remove eigenlib (again)

---
 src/eigenlib.cpp | 107 -------------------------------------------------------
 1 file changed, 107 deletions(-)
 delete mode 100644 src/eigenlib.cpp

(limited to 'src/eigenlib.cpp')

diff --git a/src/eigenlib.cpp b/src/eigenlib.cpp
deleted file mode 100644
index 470aa08..0000000
--- a/src/eigenlib.cpp
+++ /dev/null
@@ -1,107 +0,0 @@
-/*
-    Genome-wide Efficient Mixed Model Association (GEMMA)
-    Copyright (C) 2011-2017, Xiang Zhou
-
-    This program is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    This program is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with this program. If not, see <http://www.gnu.org/licenses/>.
-*/
-
-#include "Eigen/Dense"
-// #include "gsl/gsl_linalg.h"
-#include "gsl/gsl_matrix.h"
-// #include "gsl/gsl_vector.h"
-#include <cmath>
-#include <iostream>
-#include <vector>
-// #include <cblas.h>
-
-using namespace std;
-using namespace Eigen;
-
-
-// On two different clusters, compare eigen vs lapack/gsl:
-//
-// dgemm, 5x or 0.5x faster or slower than lapack, 5x or 4x faster than gsl
-// dgemv, 20x or 4x faster than gsl,
-// eigen, 1x or 0.3x slower than lapack
-// invert, 20x or 10x faster than lapack
-//
-void eigenlib_dgemm(const char *TransA, const char *TransB, const double alpha,
-                    const gsl_matrix *A, const gsl_matrix *B, const double beta,
-                    gsl_matrix *C) {
-  Map<Matrix<double, Dynamic, Dynamic, RowMajor>, 0, OuterStride<Dynamic>>
-      A_mat(A->data, A->size1, A->size2, OuterStride<Dynamic>(A->tda));
-  Map<Matrix<double, Dynamic, Dynamic, RowMajor>, 0, OuterStride<Dynamic>>
-      B_mat(B->data, B->size1, B->size2, OuterStride<Dynamic>(B->tda));
-  Map<Matrix<double, Dynamic, Dynamic, RowMajor>, 0, OuterStride<Dynamic>>
-      C_mat(C->data, C->size1, C->size2, OuterStride<Dynamic>(C->tda));
-
-  if (*TransA == 'N' || *TransA == 'n') {
-    if (*TransB == 'N' || *TransB == 'n') {
-      C_mat = alpha * A_mat * B_mat + beta * C_mat;
-    } else {
-      C_mat = alpha * A_mat * B_mat.transpose() + beta * C_mat;
-    }
-  } else {
-    if (*TransB == 'N' || *TransB == 'n') {
-      C_mat = alpha * A_mat.transpose() * B_mat + beta * C_mat;
-    } else {
-      C_mat = alpha * A_mat.transpose() * B_mat.transpose() + beta * C_mat;
-    }
-  }
-}
-
-void eigenlib_dgemv(const char *TransA, const double alpha, const gsl_matrix *A,
-                    const gsl_vector *x, const double beta, gsl_vector *y) {
-  Map<Matrix<double, Dynamic, Dynamic, RowMajor>, 0, OuterStride<Dynamic>>
-      A_mat(A->data, A->size1, A->size2, OuterStride<Dynamic>(A->tda));
-  Map<Matrix<double, Dynamic, 1>, 0, InnerStride<Dynamic>> x_vec(
-      x->data, x->size, InnerStride<Dynamic>(x->stride));
-  Map<Matrix<double, Dynamic, 1>, 0, InnerStride<Dynamic>> y_vec(
-      y->data, y->size, InnerStride<Dynamic>(y->stride));
-
-  if (*TransA == 'N' || *TransA == 'n') {
-    y_vec = alpha * A_mat * x_vec + beta * y_vec;
-  } else {
-    y_vec = alpha * A_mat.transpose() * x_vec + beta * y_vec;
-  }
-}
-
-void eigenlib_invert(gsl_matrix *A) {
-  Map<Matrix<double, Dynamic, Dynamic, RowMajor>> A_mat(A->data, A->size1,
-                                                        A->size2);
-  A_mat = A_mat.inverse();
-}
-
-void eigenlib_dsyr(const double alpha, const gsl_vector *b, gsl_matrix *A) {
-  Map<Matrix<double, Dynamic, Dynamic, RowMajor>> A_mat(A->data, A->size1,
-                                                        A->size2);
-  Map<Matrix<double, Dynamic, 1>, 0, OuterStride<Dynamic>> b_vec(
-      b->data, b->size, OuterStride<Dynamic>(b->stride));
-  A_mat = alpha * b_vec * b_vec.transpose() + A_mat;
-}
-
-void eigenlib_eigensymm(const gsl_matrix *G, gsl_matrix *U, gsl_vector *eval) {
-  Map<Matrix<double, Dynamic, Dynamic, RowMajor>, 0, OuterStride<Dynamic>>
-      G_mat(G->data, G->size1, G->size2, OuterStride<Dynamic>(G->tda));
-  Map<Matrix<double, Dynamic, Dynamic, RowMajor>, 0, OuterStride<Dynamic>>
-      U_mat(U->data, U->size1, U->size2, OuterStride<Dynamic>(U->tda));
-  Map<Matrix<double, Dynamic, 1>, 0, OuterStride<Dynamic>> eval_vec(
-      eval->data, eval->size, OuterStride<Dynamic>(eval->stride));
-
-  SelfAdjointEigenSolver<MatrixXd> es(G_mat);
-  if (es.info() != Success)
-    abort();
-  eval_vec = es.eigenvalues();
-  U_mat = es.eigenvectors();
-}
-- 
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