jiri/LA_library
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

conversion constructor from vec3 and mat3 to nrvec and nrmat

Browse Source
This commit is contained in:
Jiri Pittner 2023-11-18 15:15:32 +01:00
parent 45e8f6c52e
commit a4c422f32a
10 changed files with 111 additions and 30 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

26
la_random.h
View File

@ -3,23 +3,23 @@
namespace LA {
//RANDOM numbers defaulting to standard library but switchable to user's functions
#ifndef RANDDOUBLE
#define RANDDOUBLE randdouble
#endif
#ifndef RANDDOUBLESIGNED
#define RANDDOUBLESIGNED randdoublesigned
#endif
#ifndef RANDINT32
#define RANDINT32 randint32
#endif
extern double randdouble();
extern double randdoublesigned();
extern int randint32();
//RANDOM numbers defaulting to standard library but switchable to user's functions
#ifndef RANDDOUBLE
#define RANDDOUBLE LA::randdouble
#endif
#ifndef RANDDOUBLESIGNED
#define RANDDOUBLESIGNED LA::randdoublesigned
#endif
#ifndef RANDINT32
#define RANDINT32 LA::randint32
#endif
#ifdef __GNUC__
#define WEAK_SYMBOL __attribute__((weak))
#else

7
la_traits.h
View File

@ -68,6 +68,13 @@ extern "C" {
}
#endif
//forward declarations
namespace LA_Vecmat3 {
template<typename C> class Vec3;
template<typename C> class Mat3;
}
namespace LA {

2
mat.cc
View File

@ -3411,6 +3411,8 @@ for(int j=0; j<nn; ++j) (*this)(j,i) *= f;
******************************************************************************/
template class NRMat<double>;
template class NRMat<std::complex<double> >;
//template class NRMat<float>;
//template class NRMat<std::complex<float> >;
template class NRMat<long long>;
template class NRMat<long>;
template class NRMat<int>;

10
mat.h
View File

@ -22,6 +22,10 @@
#define _LA_MAT_H_
#include "la_traits.h"
using namespace LA_Vecmat3;
#include "vecmat3.h"
namespace LA {
@ -82,8 +86,9 @@ public:
inline NRMat(const T &a, const int n, const int m);
//! inlined constructor creating matrix of given size filled with data located at given memory location
NRMat(const T *a, const int n, const int m);
inline NRMat(const T *a, const int n, const int m);
inline NRMat(const Mat3<T> &rhs) : NRMat(&rhs(0,0),3,3) {};
//! inlined constructor creating matrix of given size from an array
template<int R, int C> inline NRMat(const T (&a)[R][C]);
@ -615,7 +620,6 @@ NRMat<T>::NRMat(const T *a, const int n, const int m) : nn(n), mm(m), count(new
cublasSetVector(nm, sizeof(T), a, 1, v, 1);
}
#endif
}
/***************************************************************************//**

3
smat.cc
View File

@ -872,7 +872,8 @@ NRSMat<std::complex<double> > NRSMat<std::complex<double> >::inverse() {return
******************************************************************************/
template class NRSMat<double>;
template class NRSMat<std::complex<double> >;
//template class NRSMat<float>;
//template class NRSMat<std::complex<float> >;
template class NRSMat<long long>;
template class NRSMat<long>;
template class NRSMat<int>;

29
t.cc
View File

@ -426,7 +426,7 @@ cout <<b;
cout <<d;
}
if(1)
if(0)
{
NRMat<double> a;
cin >>a ;
@ -2784,5 +2784,32 @@ NRSMat<char> adjperm = adj.permuted(p);
cout <<"resorted graph = "<<adjperm<<endl;
}
if(1)
{
Mat3<double> a;
a.randomize(10.);
cout<<a<<endl;
Mat3<double> ata = a.transpose()*a;
Mat3<double> work(ata);
Vec3<double> w;
Mat3<double> v;
work.eivec_sym(w,v,true);
cout <<w<<endl<<sqrt(w[0])<<" "<<sqrt(w[1])<<" "<<sqrt(w[2])<<" "<<endl<<endl<<v<<endl;
Mat3<double> aat = a*a.transpose();
Mat3<double> work2(aat);
Vec3<double> w2;
Mat3<double> v2;
work2.eivec_sym(w2,v2,true);
cout <<w2<<endl<<sqrt(w2[0])<<" "<<sqrt(w2[1])<<" "<<sqrt(w2[2])<<" "<<endl<<endl<<v2<<endl;
NRMat<double> aa(a);
cout <<aa.nrows()<<" "<<aa.ncols()<<endl;
NRMat<double> uu(3,3),vv(3,3);
NRVec<double> ss(3);
singular_decomposition(aa,&uu,ss,&vv,0);
cout <<uu<<ss<<vv<<endl;
}
}

5
vec.cc
View File

@ -27,7 +27,7 @@
#include <errno.h>
#include "vec.h"
#include <unistd.h>
#include "vecmat3.h"
namespace LA {
@ -904,6 +904,7 @@ void NRVec<T>::storesubvector(const NRVec<int> &selection, const NRVec &rhs)
}
/***************************************************************************//**
* forced instantization in the corespoding object file
******************************************************************************/
@ -1039,6 +1040,8 @@ INSTANTIZE_CONCAT(std::complex<double>)
//template class NRVec<float>;
//template class NRVec<std::complex<float> >;
template class NRVec<double>;
template class NRVec<std::complex<double> >;
template class NRVec<char>;

4
vec.h
View File

@ -21,8 +21,11 @@
#define _LA_VEC_H_
#include "la_traits.h"
#include "vecmat3.h"
#include <list>
using namespace LA_Vecmat3;
namespace LA {
/***************************************************************************//**
@ -134,6 +137,7 @@ public:
//! inlined constructor creating vector of given size filled with data located at given memory location
inline NRVec(const T *a, const int n);
inline NRVec(const Vec3<T> &rhs) : NRVec(&rhs[0],3) {};
//! inlined constructor creating vector of given size filled with data located at given memory location
inline NRVec(T *a, const int n, bool skeleton);

42
vecmat3.cc
View File

@ -17,6 +17,9 @@
*/
#include "vecmat3.h"
#ifndef QUAT_NO_RANDOM
#include "la_random.h"
#endif
namespace LA_Vecmat3 {
@ -613,6 +616,24 @@ tmp=(q[2][1]+q[1][2])/2;
q[2][1]=q[1][2]=tmp;
}
#ifndef QUAT_NO_RANDOM
template <>
void Vec3<double>::randomize(const double x)
{
for(int i=0;i<3;++i) q[i]=x*RANDDOUBLESIGNED();
}
template <>
void Mat3<double>::randomize(const double x, const bool symmetric)
{
if(symmetric) for(int i=0;i<3;++i) for(int j=0; j<=i; ++j) q[j][i]=q[i][j]=x*RANDDOUBLESIGNED();
else for(int i=0;i<3;++i) for(int j=0; j<3; ++j) q[i][j]=x*RANDDOUBLESIGNED();
}
#endif
//eigensolver for 3x3 matrix by Joachim Kopp - analytic formula version,
//might be unstable for ill-conditioned ones, then use other methods
//cf. arxiv physics 0610206v3
@ -651,7 +672,7 @@ q[2][1]=q[1][2]=tmp;
#define SQR(x) ((x)*(x)) // x^2
//
template <typename T>
void Mat3<T>::eival_sym(Vec3<T> &w) const
void Mat3<T>::eival_sym(Vec3<T> &w, const bool sortdown) const
{
T m, c1, c0;
@ -685,10 +706,19 @@ T m, c1, c0;
w[0] = w[1] + c;
w[1] -= s;
if(sortdown)
{
if(w[0]<w[1]) {T tmp=w[0]; w[0]=w[1]; w[1]=tmp;}
if(w[0]<w[2]) {T tmp=w[0]; w[0]=w[2]; w[2]=tmp;}
if(w[1]<w[2]) {T tmp=w[1]; w[1]=w[2]; w[2]=tmp;}
}
else
//sort in ascending order
if(w[0]>w[1]) {T tmp=w[0]; w[0]=w[1]; w[1]=tmp;}
if(w[0]>w[2]) {T tmp=w[0]; w[0]=w[2]; w[2]=tmp;}
if(w[1]>w[2]) {T tmp=w[1]; w[1]=w[2]; w[2]=tmp;}
{
if(w[0]>w[1]) {T tmp=w[0]; w[0]=w[1]; w[1]=tmp;}
if(w[0]>w[2]) {T tmp=w[0]; w[0]=w[2]; w[2]=tmp;}
if(w[1]>w[2]) {T tmp=w[1]; w[1]=w[2]; w[2]=tmp;}
}
}
// Calculates the eigenvalues and normalized eigenvectors of a symmetric 3x3
@ -717,7 +747,7 @@ if(w[1]>w[2]) {T tmp=w[1]; w[1]=w[2]; w[2]=tmp;}
// v1.0: First released version
// ----------------------------------------------------------------------------
template <typename T>
void Mat3<T>::eivec_sym(Vec3<T> &w, Mat3 &v) const
void Mat3<T>::eivec_sym(Vec3<T> &w, Mat3 &v, const bool sortdown) const
{
T norm; // Squared norm or inverse norm of current eigenvector
T n0, n1; // Norm of first and second columns of A
@ -729,7 +759,7 @@ void Mat3<T>::eivec_sym(Vec3<T> &w, Mat3 &v) const
int i, j; // Loop counters
// Calculate eigenvalues
eival_sym(w);
eival_sym(w,sortdown);
Mat3<T> A(*this); //scratch copy
wmax = fabs(w[0]);

13
vecmat3.h
View File

@ -16,7 +16,7 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
//this header defines simple classes for 3-dimensional vectors and matrices to describe rotations etc.
//this header defines simple classes for 3-dimensional REAL-valued vectors and matrices to describe rotations etc.
//the class is compatible with functions in quaternion.h used for SO(3) parametrization
//it should be compilable separately from LA as well as being a part of LA
@ -62,7 +62,7 @@ public:
//compiler generates default copy constructor and assignment operator
//formal indexing
inline const T operator[](const int i) const {return q[i];};
inline const T& operator[](const int i) const {return q[i];};
inline T& operator[](const int i) {return q[i];};
//operations of Vec3s with scalars
@ -89,6 +89,7 @@ public:
const Vec3 timesT(const Mat3<T> &rhs) const; //with transpose
Mat3<T> outer(const Vec3 &rhs) const; //tensor product
void inertia(Mat3<T> &itensor, const T weight) const; //contribution to inertia tensor
void randomize(const T x);
//C-style IO
int fprintf(FILE *f, const char *format) const {return ::fprintf(f,format,q[0],q[1],q[2]);};
@ -130,7 +131,7 @@ public:
//formal indexing
inline const T* operator[](const int i) const {return q[i];};
inline T* operator[](const int i) {return q[i];};
inline const T operator()(const int i, const int j) const {return q[i][j];};
inline const T& operator()(const int i, const int j) const {return q[i][j];};
inline T& operator()(const int i, const int j) {return q[i][j];};
@ -145,6 +146,8 @@ public:
const Mat3 operator*(const T rhs) const {return Mat3(*this) *= rhs;};
const Mat3 operator/(const T rhs) const {return Mat3(*this) /= rhs;};
void randomize(const T x, const bool symmetric=false);
//Mat3 algebra
const Mat3 operator-() const {return *this * (T)-1;}; //unary minus
Mat3& operator+=(const Mat3 &rhs);
@ -166,8 +169,8 @@ public:
int fprintf(FILE *f, const char *format) const {int n= ::fprintf(f,format,q[0][0],q[0][1],q[0][2]); n+=::fprintf(f,format,q[1][0],q[1][1],q[1][2]); n+=::fprintf(f,format,q[2][0],q[2][1],q[2][2]); return n;};
int fscanf(FILE *f, const char *format) const {return ::fscanf(f,format,q[0][0],q[0][1],q[0][2]) + ::fscanf(f,format,q[1][0],q[1][1],q[1][2]) + ::fscanf(f,format,q[2][0],q[2][1],q[2][2]);};
void symmetrize(); //average offdiagonal elements
void eival_sym(Vec3<T> &w) const; //only for real symmetric matrix, symmetry is not checked
void eivec_sym(Vec3<T> &w, Mat3 &v) const; //only for real symmetric matrix, symmetry is not checked
void eival_sym(Vec3<T> &w, const bool sortdown=false) const; //only for real symmetric matrix, symmetry is not checked
void eivec_sym(Vec3<T> &w, Mat3 &v, const bool sortdown=false) const; //only for real symmetric matrix, symmetry is not checked
T norm(const T scalar = 0) const;
};