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https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
Deep refactoring.
1) Kill MatrixXpr class, instead let all class inherit a common EigenBase class 2) Kill MatrixBase/Matrix/Vector classes, instead introduce a single Matrix class, a MatrixStorage class, and typedefs to emulate vectors 3) Huge code cleanup, remove large preprocessor macros, sloccount drop to ~750 down from 1100. 4) Introduce compile-time-known sizes
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@@ -5,18 +5,25 @@ using namespace Eigen;
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int main(int, char **)
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{
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Matrix<double,2,2> m; // 2x2 fixed-size matrix with uninitialized entries
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Matrix<double,2,2> m, n; // 2x2 fixed-size matrix with uninitialized entries
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m(0,0) = 1;
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m(0,1) = 2;
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m(1,0) = 3;
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m(1,1) = 4;
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n = m;
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n = eval(n*n);
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cout << n << endl;
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#if 0
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cout << "Here is a 2x2 matrix m:" << endl << m << endl;
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cout << "Let us now build a 4x4 matrix m2 by assembling together four 2x2 blocks." << endl;
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MatrixX<double> m2(4, 4); // dynamic matrix with initial size 4x4 and uninitialized entries
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Matrix<double,4,4> m2; // dynamic matrix with initial size 4x4 and uninitialized entries
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// notice how we are mixing fixed-size and dynamic-size types.
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cout << "In the top-left block, we put the matrix m shown above." << endl;
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m2.block(0,1,0,1) = m;
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cout << "m2 is now " << endl << m2 << endl;
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cout << "m2.block(0,1,0,1) has " << m2.block(0,1,0,1).rows() << " rows" << endl;
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cout << "In the bottom-left block, we put the matrix m*m, which is:" << endl << m*m << endl;
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m2.block(2,3,0,1) = m * m;
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cout << "In the top-right block, we put the matrix m+m, which is:" << endl << m+m << endl;
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@@ -47,5 +54,6 @@ int main(int, char **)
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m = m_save;
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m.alias() = m * m;
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cout << "And m is now:" << endl << m << endl << "as was expected." << endl;
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#endif
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return 0;
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}
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