gauss elimination for vecmat3
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37
t.cc
37
t.cc
@ -2321,7 +2321,7 @@ Polynomial<double> pp({1,2,3,4,5});
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cout<<pp;
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cout<<pp;
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}
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}
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if(1)
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if(0)
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{
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{
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//prepare random symmetric mat3
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//prepare random symmetric mat3
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int seed;
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int seed;
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@ -2352,4 +2352,39 @@ cout<<"eival error = "<<(w-www).norm()<<endl;
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cout<<"eivec error = "<<(m.diffabs(vvv)).norm()<<endl; //just ignore signs due to arb. phases (not full check)
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cout<<"eivec error = "<<(m.diffabs(vvv)).norm()<<endl; //just ignore signs due to arb. phases (not full check)
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}
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}
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if(1)
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{
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//prepare random mat3
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int seed;
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int f=open("/dev/random",O_RDONLY);
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if(sizeof(int)!=read(f,&seed,sizeof(int))) laerror("cannot read /dev/random");
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close(f);
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srand(seed);
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NRMat<double> tmp(3,3);
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tmp.randomize(2.);
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Mat3<double> mm(tmp);
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NRMat<double> m(&mm[0][0],3,3);
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cout <<m<<"3 3\n"<<mm<<endl;
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double rr[2][3]={{1,2,3},{4,5,6}};
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NRMat r(rr);
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cout<<r;
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double d;
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linear_solve(m,&r,&d);
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Mat3<double> mmi=mm.inverse();
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double dd=simple_gaussj(mm.elements(),rr);
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cout <<"det="<<dd<<endl;
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cout <<"error of inverse = "<<(mmi-mm).norm()<<endl;
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cout <<"3 3\n"<<mm<<NRMat<double>(rr);
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cout<<"linear solve det="<<d<<endl;
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cout <<r;
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cout <<"det error="<<d-dd<<endl;
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cout <<"solution error="<<(r-rr).norm()<<endl;
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}
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}
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}
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15
vecmat3.cc
15
vecmat3.cc
@ -522,7 +522,7 @@ q[2][1]=q[1][2]=tmp;
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//
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//
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//numeric_limits not available on some crosscompilers for small MCUs
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//numeric_limits not available on some crosscompilers for small MCUs
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#ifdef ARM_SOURCE37
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#ifdef QUAT_NO_DOUBLE
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#define DBL_EPSILON 1.19209290e-07f
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#define DBL_EPSILON 1.19209290e-07f
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#else
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#else
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#define DBL_EPSILON std::numeric_limits<T>::epsilon()
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#define DBL_EPSILON std::numeric_limits<T>::epsilon()
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@ -785,6 +785,19 @@ Mat3<T> A(*this); //scratch copy
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//end eigensolver for 3x3 matrix
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//end eigensolver for 3x3 matrix
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/////////////////////////////////////////////////////////////////////////////////////////////
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/////////////////////////////////////////////////////////////////////////////////////////////
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template<typename T>
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T Mat3<T>::norm(const T scalar) const
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{
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T sum(0);
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for(int i=0; i<3; i++)
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for(int j=0; j<3; j++) {
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T tmp = q[i][j];
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if(i == j) tmp -= scalar;
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sum += tmp*tmp;
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}
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return sqrt(sum);
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}
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//force instantization
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//force instantization
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#define INSTANTIZE(T) \
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#define INSTANTIZE(T) \
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template class Vec3<T>; \
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template class Vec3<T>; \
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68
vecmat3.h
68
vecmat3.h
@ -1,6 +1,6 @@
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/*
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/*
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LA: linear algebra C++ interface library
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LA: linear algebra C++ interface library
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Copyright (C) 2020 Jiri Pittner <jiri.pittner@jh-inst.cas.cz> or <jiri@pittnerovi.com>
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Copyright (C) 2020-2021 Jiri Pittner <jiri.pittner@jh-inst.cas.cz> or <jiri@pittnerovi.com>
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This program is free software: you can redistribute it and/or modify
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This program is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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it under the terms of the GNU General Public License as published by
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@ -46,6 +46,9 @@ class Vec3
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public:
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public:
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//just plain old data
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//just plain old data
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T q[3];
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T q[3];
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T (&elements())[3] {return q;};
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const T (&elements()const)[3] {return q;};
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//
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//
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Vec3(void) {};
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Vec3(void) {};
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Vec3(const T x, const T u=0, const T v=0) {q[0]=x; q[1]=u; q[2]=v;}; //Vec3 from real(s)
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Vec3(const T x, const T u=0, const T v=0) {q[0]=x; q[1]=u; q[2]=v;}; //Vec3 from real(s)
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@ -98,6 +101,8 @@ public:
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//just plain old data
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//just plain old data
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T q[3][3];
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T q[3][3];
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//
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//
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T (&elements())[3][3] {return q;};
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const T (&elements()const)[3][3] {return q;};
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Mat3(void) {};
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Mat3(void) {};
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Mat3(const T (&a)[3][3]) {memcpy(q,a,3*3*sizeof(T));}
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Mat3(const T (&a)[3][3]) {memcpy(q,a,3*3*sizeof(T));}
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Mat3(const T x) {memset(q,0,9*sizeof(T)); q[0][0]=q[1][1]=q[2][2]=x;}; //scalar matrix
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Mat3(const T x) {memset(q,0,9*sizeof(T)); q[0][0]=q[1][1]=q[2][2]=x;}; //scalar matrix
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@ -148,9 +153,70 @@ public:
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void symmetrize(); //average offdiagonal elements
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void symmetrize(); //average offdiagonal elements
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void eival_sym(Vec3<T> &w) const; //only for real symmetric matrix, symmetry is not checked
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void eival_sym(Vec3<T> &w) const; //only for real symmetric matrix, symmetry is not checked
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void eivec_sym(Vec3<T> &w, Mat3 &v) const; //only for real symmetric matrix, symmetry is not checked
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void eivec_sym(Vec3<T> &w, Mat3 &v) const; //only for real symmetric matrix, symmetry is not checked
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T norm(const T scalar = 0) const;
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};
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};
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//a simple gauss elimination as a template also for larger-size matrices in form of C-style arrays
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#define SWAP(a,b) {T temp=(a);(a)=(b);(b)=temp;}
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template<typename T, int n, int m>
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T simple_gaussj(T (&a)[n][n],T (&b)[m][n]) //returns determinant, m is number of rhs to solve
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{
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int indxc[n],indxr[n],ipiv[n];
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int i,icol,irow,j,k,l,ll;
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T det,big,dum,pivinv;
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det=1;
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for (j=0;j<n;j++) ipiv[j]=0;
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for (i=0;i<n;i++) {
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big=0.0;
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for (j=0;j<n;j++)
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if (ipiv[j] != 1)
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for (k=0;k<n;k++) {
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if (ipiv[k] == 0) {
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if (abs(a[j][k]) >= big) {
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big=abs(a[j][k]);
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irow=j;
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icol=k;
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}
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} else if (ipiv[k] > 1) {return 0;}
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}
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++(ipiv[icol]);
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if (irow != icol) {
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det = (-det);
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for (l=0;l<n;l++) SWAP(a[irow][l],a[icol][l])
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for (l=0;l<m;l++) SWAP(b[l][irow],b[l][icol])
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}
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indxr[i]=irow;
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indxc[i]=icol;
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if (a[icol][icol] == 0) {return 0;}
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pivinv=1/a[icol][icol];
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det *= a[icol][icol];
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a[icol][icol]=1.0;
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for (l=0;l<n;l++) a[icol][l] *= pivinv;
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for (l=0;l<m;l++) b[l][icol] *= pivinv;
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for (ll=0;ll<n;ll++)
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if (ll != icol) {
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dum=a[ll][icol];
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a[ll][icol]=0.0;
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for (l=0;l<n;l++) a[ll][l] -= a[icol][l]*dum;
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for (l=0;l<m;l++) b[l][ll] -= b[l][icol]*dum;
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}
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}
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for (l=n-1;l>=0;l--) {
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if (indxr[l] != indxc[l])
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for (k=0;k<n;k++)
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SWAP(a[k][indxr[l]],a[k][indxc[l]]);
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}
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return det;
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}
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#undef SWAP
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//stream I/O
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//stream I/O
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#ifndef AVOID_STDSTREAM
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#ifndef AVOID_STDSTREAM
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