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extend matlab conversion table

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This commit is contained in:
Gael Guennebaud 2016-01-08 22:24:45 +01:00
parent 6639b7d6e8
commit f9d71a1729
1 changed files with 58 additions and 52 deletions
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24
doc/AsciiQuickReference.txt
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@ -43,6 +43,8 @@ MatrixXd::Random(rows,cols) // rand(rows,cols)*2-1 // MatrixXd::R
C.setRandom(rows,cols) // C = rand(rows,cols)*2-1
VectorXd::LinSpaced(size,low,high) // linspace(low,high,size)'
v.setLinSpaced(size,low,high) // v = linspace(low,high,size)'
VectorXi::LinSpaced(((hi-low)/step)+1, // low:step:hi
low,low+step*(size-1))
// Matrix slicing and blocks. All expressions listed here are read/write.
@ -85,13 +87,15 @@ P.bottomRightCorner<rows,cols>() // P(end-rows+1:end, end-cols+1:end)
R.row(i) = P.col(j); // R(i, :) = P(:, i)
R.col(j1).swap(mat1.col(j2)); // R(:, [j1 j2]) = R(:, [j2, j1])
// Views, transpose, etc; all read-write except for .adjoint().
// Views, transpose, etc;
// Eigen // Matlab
R.adjoint() // R'
R.transpose() // R.' or conj(R')
R.diagonal() // diag(R)
R.transpose() // R.' or conj(R') // Read-write
R.diagonal() // diag(R) // Read-write
x.asDiagonal() // diag(x)
R.transpose().colwise().reverse(); // rot90(R)
R.transpose().colwise().reverse() // rot90(R) // Read-write
R.replicate(i,j) // repmat(P,i,j)
// All the same as Matlab, but matlab doesn't have *= style operators.
// Matrix-vector. Matrix-matrix. Matrix-scalar.
@ -105,11 +109,11 @@ a *= M; R = P + Q; R = P/s;
// Vectorized operations on each element independently
// Eigen // Matlab
R = P.cwiseProduct(Q); // R = P .* Q
R = P.array() * s.array();// R = P .* s
R = P.array() * s.array(); // R = P .* s
R = P.cwiseQuotient(Q); // R = P ./ Q
R = P.array() / Q.array();// R = P ./ Q
R = P.array() + s.array();// R = P + s
R = P.array() - s.array();// R = P - s
R = P.array() / Q.array(); // R = P ./ Q
R = P.array() + s.array(); // R = P + s
R = P.array() - s.array(); // R = P - s
R.array() += s; // R = R + s
R.array() -= s; // R = R - s
R.array() < Q.array(); // R < Q
@ -133,7 +137,9 @@ R.cwiseAbs() // abs(P)
R.array().abs() // abs(P)
R.cwiseAbs2() // abs(P.^2)
R.array().abs2() // abs(P.^2)
(R.array() < s).select(P,Q); // (R < s ? P : Q)
(R.array() < s).select(P,Q ); // (R < s ? P : Q)
R = (Q.array()==0).select(P,A) // R(Q==0) = P(Q==0)
// Reductions.
int r, c;