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Added examples for casting, made better examples for Maps
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@ -163,13 +163,25 @@ x.squaredNorm() // dot(x, x) Note the equivalence is not true for co
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x.dot(y) // dot(x, y)
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x.cross(y) // cross(x, y) Requires #include <Eigen/Geometry>
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//// Type conversion
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// Eigen // Matlab
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A.cast<double>(); // double(A)
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A.cast<float>(); // single(A)
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A.cast<int>(); // int32(A)
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// if the original type equals destination type, no work is done
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// Note that for most operations Eigen requires all operands to have the same type:
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MatrixXf F = MatrixXf::Zero(3,3);
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A += F; // illegal in Eigen. In Matlab A = A+F is allowed
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A += F.cast<double>(); // F converted to double and then added (generally, conversion happens on-the-fly)
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// Eigen can map existing memory into Eigen matrices.
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float array[3];
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Map<Vector3f>(array, 3).fill(10);
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int data[4] = 1, 2, 3, 4;
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Matrix2i mat2x2(data);
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MatrixXi mat2x2 = Map<Matrix2i>(data);
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MatrixXi mat2x2 = Map<MatrixXi>(data, 2, 2);
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Vector3f::Map(array).fill(10); // create a temporary Map over array and sets entries to 10
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int data[4] = {1, 2, 3, 4};
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Matrix2i mat2x2(data); // copies data into mat2x2
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Matrix2i::Map(data) = 2*mat2x2; // overwrite elements of data with 2*mat2x2
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MatrixXi::Map(data, 2, 2) += mat2x2; // adds mat2x2 to elements of data (alternative syntax if size is not know at compile time)
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// Solve Ax = b. Result stored in x. Matlab: x = A \ b.
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x = A.ldlt().solve(b)); // A sym. p.s.d. #include <Eigen/Cholesky>
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