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[Getfem-commits] [getfem-commits] branch master updated: Style changes
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From: |
Konstantinos Poulios |
|
Subject: |
[Getfem-commits] [getfem-commits] branch master updated: Style changes |
|
Date: |
Mon, 18 Dec 2023 20:05:40 -0500 |
This is an automated email from the git hooks/post-receive script.
logari81 pushed a commit to branch master
in repository getfem.
The following commit(s) were added to refs/heads/master by this push:
new c8ed9342 Style changes
c8ed9342 is described below
commit c8ed934245a182656c57b35db0fe29b275cdbe55
Author: Konstantinos Poulios <logari81@gmail.com>
AuthorDate: Tue Dec 19 02:05:28 2023 +0100
Style changes
---
src/getfem/bgeot_config.h | 8 ++++----
src/getfem/getfem_config.h | 4 ++--
src/getfem/getfem_model_solvers.h | 8 ++++----
src/gmm/gmm_blas.h | 3 ++-
src/gmm/gmm_dense_Householder.h | 6 +++---
src/gmm/gmm_dense_lu.h | 8 ++++----
src/gmm/gmm_dense_qr.h | 33 +++++++++++++++------------------
7 files changed, 34 insertions(+), 36 deletions(-)
diff --git a/src/getfem/bgeot_config.h b/src/getfem/bgeot_config.h
index 939054e5..ee5e7783 100644
--- a/src/getfem/bgeot_config.h
+++ b/src/getfem/bgeot_config.h
@@ -39,7 +39,7 @@
#include "getfem/getfem_arch_config.h"
-#ifdef GETFEM_HAVE_FEENABLEEXCEPT
+#if defined(GETFEM_HAVE_FEENABLEEXCEPT)
# include <fenv.h>
# define FE_ENABLE_EXCEPT { feenableexcept(FE_DIVBYZERO | FE_INVALID |
FE_OVERFLOW); }
#else
@@ -50,9 +50,9 @@
#include "gmm/gmm_kernel.h"
#include "gmm/gmm_dense_lu.h"
-#ifdef GETFEM_HAVE_QDLIB
+#if defined(GETFEM_HAVE_QDLIB)
// # define NO_INLINE
-# ifdef GETFEM_QDLIB_USE_QUAD
+# if defined(GETFEM_QDLIB_USE_QUAD)
# include <qd/qd_real.h>
# else
# include <qd/dd_real.h>
@@ -83,7 +83,7 @@ namespace bgeot {
# define LONG_SCALAR_EPS 1E-16
# define LONG_SCAL(xx) long_scalar_type(xx)
#else
-# ifdef GETFEM_QDLIB_USE_QUAD
+# if defined(GETFEM_QDLIB_USE_QUAD)
typedef qd_real long_scalar_type;
typedef qd_real opt_long_scalar_type;
inline scalar_type to_scalar(const qd_real &a) { return to_double(a); }
diff --git a/src/getfem/getfem_config.h b/src/getfem/getfem_config.h
index a06821bc..b04219fe 100644
--- a/src/getfem/getfem_config.h
+++ b/src/getfem/getfem_config.h
@@ -160,7 +160,7 @@
// 0 - Sequential
// 1 - Only the resolution of linear systems are parallelized
// 2 - Assembly procedures are also parallelized
-#ifndef GETFEM_PARA_LEVEL
+#if !defined(GETFEM_PARA_LEVEL)
# define GETFEM_PARA_LEVEL 0
#endif
@@ -168,7 +168,7 @@
#define GETFEM_MPI_FINALIZE {}
#if defined(GETFEM_HAVE_DMUMPS_C_H)
-# ifndef GMM_USES_MUMPS
+# if !defined(GMM_USES_MUMPS)
# define GMM_USES_MUMPS
# endif
#endif
diff --git a/src/getfem/getfem_model_solvers.h
b/src/getfem/getfem_model_solvers.h
index 469896d8..4472bb9e 100644
--- a/src/getfem/getfem_model_solvers.h
+++ b/src/getfem/getfem_model_solvers.h
@@ -168,7 +168,7 @@ namespace getfem {
}
};
-#ifdef GMM_USES_MUMPS
+#if defined(GMM_USES_MUMPS)
template <typename MAT, typename VECT>
struct linear_solver_mumps : public abstract_linear_solver<MAT, VECT> {
void operator ()(const MAT &M, VECT &x, const VECT &b,
@@ -631,11 +631,11 @@ namespace getfem {
<linear_solver_distributed_mumps<MATRIX, VECTOR>>();
#else
size_type ndof = md.nb_dof(), max3d = 15000, dim = md.leading_dimension();
-# ifdef GMM_USES_MUMPS
+# if defined(GMM_USES_MUMPS)
max3d = 250000;
# endif
if ((ndof<300000 && dim<=2) || (ndof<max3d && dim<=3) || (ndof<1000)) {
-# ifdef GMM_USES_MUMPS
+# if defined(GMM_USES_MUMPS)
if (md.is_symmetric())
return std::make_shared<linear_solver_mumps_sym<MATRIX, VECTOR>>();
else
@@ -670,7 +670,7 @@ namespace getfem {
else if (bgeot::casecmp(name, "dense_lu") == 0)
return std::make_shared<linear_solver_dense_lu<MATRIX, VECTOR>>();
else if (bgeot::casecmp(name, "mumps") == 0) {
-#ifdef GMM_USES_MUMPS
+#if defined(GMM_USES_MUMPS)
# if GETFEM_PARA_LEVEL <= 1
return std::make_shared<linear_solver_mumps<MATRIX, VECTOR>>();
# else
diff --git a/src/gmm/gmm_blas.h b/src/gmm/gmm_blas.h
index 4426bb7d..b8390976 100644
--- a/src/gmm/gmm_blas.h
+++ b/src/gmm/gmm_blas.h
@@ -1568,7 +1568,8 @@ namespace gmm {
if (it2 == ite2 || i1 < it2.index()) {
l2[i1] = *it1; ++i1; ++it1;
if (it1 == ite1) return;
- it2 = vect_begin(l2); ite2 = vect_end(l2);
+ it2 = vect_begin(l2);
+ ite2 = vect_end(l2);
}
if (ie1 > ite2.index()) {
--ite1; l2[ie1 - 1] = *ite1;
diff --git a/src/gmm/gmm_dense_Householder.h b/src/gmm/gmm_dense_Householder.h
index ea010ed5..31725cfc 100644
--- a/src/gmm/gmm_dense_Householder.h
+++ b/src/gmm/gmm_dense_Householder.h
@@ -245,7 +245,7 @@ namespace gmm {
template <typename MAT1, typename MAT2>
void Householder_tridiagonalization(const MAT1 &AA, const MAT2 &QQ,
- bool compute_q) {
+ bool compute_Q) {
MAT1 &A = const_cast<MAT1 &>(AA); MAT2 &Q = const_cast<MAT2 &>(QQ);
typedef typename linalg_traits<MAT1>::value_type T;
typedef typename number_traits<T>::magnitude_type R;
@@ -267,8 +267,8 @@ namespace gmm {
gmm::add(p, gmm::scaled(v, -vect_hp(v, p) / norm), w);
rank_two_update(sub_matrix(A, SUBI), v, w);
// it should be possible to compute only the upper or lower part
-
- if (compute_q) col_house_update(sub_matrix(Q, SUBK, SUBI), v, ww);
+ if (compute_Q)
+ col_house_update(sub_matrix(Q, SUBK, SUBI), v, ww);
}
}
diff --git a/src/gmm/gmm_dense_lu.h b/src/gmm/gmm_dense_lu.h
index 1a8a26bc..1dbb0195 100644
--- a/src/gmm/gmm_dense_lu.h
+++ b/src/gmm/gmm_dense_lu.h
@@ -87,10 +87,10 @@ namespace gmm {
{ return std::vector<size_type>::operator[](i); }
size_type operator[] (size_type i) const
{ return std::vector<size_type>::operator[](i); }
- void begin(void) const {}
- void begin(void) {}
- void end(void) const {}
- void end(void) {}
+ void begin() const {}
+ void begin() {}
+ void end() const {}
+ void end() {}
public:
void set_to_int32() { is_int64 = false; }
diff --git a/src/gmm/gmm_dense_qr.h b/src/gmm/gmm_dense_qr.h
index 1fcf03f5..87611755 100644
--- a/src/gmm/gmm_dense_qr.h
+++ b/src/gmm/gmm_dense_qr.h
@@ -295,7 +295,7 @@ namespace gmm {
template <typename MAT, typename Ttol> inline
void symmetric_qr_stop_criterion(const MAT &AA, size_type &p, size_type &q,
- Ttol tol) {
+ Ttol tol) {
typedef typename linalg_traits<MAT>::value_type T;
typedef typename number_traits<T>::magnitude_type R;
R rmin = default_min(R()) * R(2);
@@ -547,16 +547,17 @@ namespace gmm {
// if A has complex eigenvalues. Complexity about 10n^3, 25n^3 if
// eigenvectors are computed
template <typename MAT1, typename VECT, typename MAT2>
- void implicit_qr_algorithm(const MAT1 &A, const VECT &eigval_,
- const MAT2 &Q_,
- tol_type_for_qr tol = default_tol_for_qr,
- bool compvect = true) {
+ void implicit_qr_algorithm(const MAT1 &A, const VECT &eigval_,
+ const MAT2 &Q_,
+ tol_type_for_qr tol = default_tol_for_qr,
+ bool compvect = true) {
VECT &eigval = const_cast<VECT &>(eigval_);
MAT2 &Q = const_cast<MAT2 &>(Q_);
- typedef typename linalg_traits<MAT1>::value_type value_type;
+ typedef typename linalg_traits<MAT1>::value_type T;
+ typedef typename number_traits<T>::magnitude_type R;
size_type n(mat_nrows(A)), q(0), q_old, p(0), ite(0), its(0);
- dense_matrix<value_type> H(n,n);
+ dense_matrix<T> H(n,n);
sub_interval SUBK(0,0);
gmm::copy(A, H);
@@ -572,7 +573,7 @@ namespace gmm {
sub_matrix(Q, SUBJ, SUBK),
tol, (its == 10 || its == 20), compvect);
q_old = q;
- qr_stop_criterion(H, p, q, tol*2);
+ qr_stop_criterion(H, p, q, tol*R(2));
if (q != q_old) its = 0;
++its; ++ite;
GMM_ASSERT1(ite < n*100, "QR algorithm failed");
@@ -581,7 +582,6 @@ namespace gmm {
extract_eig(H, eigval, tol);
}
-
template <typename MAT1, typename VECT>
void implicit_qr_algorithm(const MAT1 &a, VECT &eigval,
tol_type_for_qr tol = default_tol_for_qr) {
@@ -594,8 +594,8 @@ namespace gmm {
/* ********************************************************************* */
template <typename MAT1, typename MAT2>
- void symmetric_Wilkinson_qr_step(const MAT1& MM, const MAT2 &ZZ,
- bool compute_z) {
+ void symmetric_Wilkinson_qr_step(const MAT1& MM, const MAT2 &ZZ,
+ bool compute_z) {
MAT1& M = const_cast<MAT1&>(MM); MAT2& Z = const_cast<MAT2&>(ZZ);
typedef typename linalg_traits<MAT1>::value_type T;
typedef typename number_traits<T>::magnitude_type R;
@@ -631,7 +631,6 @@ namespace gmm {
if (compute_z) col_rot(Z, c, s, k-1, k);
if (k < n-1) { x = M(k, k-1); z = M(k+1, k-1); }
}
-
}
template <typename VECT1, typename VECT2, typename MAT>
@@ -699,25 +698,23 @@ namespace gmm {
// complexity about 4n^3/3, 9n^3 if eigenvectors are computed
template <typename MAT1, typename VECT, typename MAT2>
void symmetric_qr_algorithm_old(const MAT1 &A, const VECT &eigval_,
- const MAT2 &eigvect_,
- tol_type_for_qr tol = default_tol_for_qr,
- bool compvect = true) {
+ const MAT2 &eigvect_,
+ tol_type_for_qr tol = default_tol_for_qr,
+ bool compvect = true) {
VECT &eigval = const_cast<VECT &>(eigval_);
MAT2 &eigvect = const_cast<MAT2 &>(eigvect_);
typedef typename linalg_traits<MAT1>::value_type T;
typedef typename number_traits<T>::magnitude_type R;
- if (compvect) gmm::copy(identity_matrix(), eigvect);
size_type n = mat_nrows(A), q = 0, p, ite = 0;
dense_matrix<T> Tri(n, n);
gmm::copy(A, Tri);
+ if (compvect) gmm::copy(identity_matrix(), eigvect);
Householder_tridiagonalization(Tri, eigvect, compvect);
-
symmetric_qr_stop_criterion(Tri, p, q, tol);
while (q < n) {
-
sub_interval SUBI(p, n-p-q), SUBJ(0, mat_ncols(eigvect)), SUBK(p, n-p-q);
if (!compvect) SUBK = sub_interval(0,0);
symmetric_Wilkinson_qr_step(sub_matrix(Tri, SUBI),
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