[Y,IX] = sort(Y,dim,mode)
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igl::sort(X,dim,mode,Y,IX)
|
MATLAB version allows Y to be a multidimensional matrix, but the
Eigen version is only for 1D or 2D matrices. |
B(i:(i+w),j:(j+h)) = A(x:(x+w),y:(y+h))
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B.block(i,j,w,h) = A.block(i,j,w,h)
|
MATLAB version would allow w and h to be non-positive since the
colon operator evaluates to a list of indices, but the Eigen version
needs non-negative width and height values. |
max(A(:))
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A.maxCoeff()
|
Find the maximum coefficient over all entries of the matrix. |
min(A(:))
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A.minCoeff()
|
Find the minimum coefficient over all entries of the matrix. |
eye(w,h)
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MatrixXd::Identity(w,h), MatrixXf::Identity(w,h), etc.
|
|
A(i:(i+w),j:(j+h)) = eye(w,h)
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A.setIdentity()
|
|
[I,J,V] = find(X)
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igl::find(X,I,J,V)
|
Matlab supports finding subscripts (I and J) as well as indices
(just I), but so far igl::find only supports subscripts. Also,
igl::find requires X to be sparse. |
X(:,j) = X(:,j) + x
|
X.col(j).array() += x
|
|
Adim_sum = sum(A,dim)
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igl::sum(A,dim,Adim_sum)
|
Currently the igl version only supports sparse matrix input (and
dim must be 1 or 2) |
D = diag(M)
|
igl::diag(M,D)
|
Extract the main diagonal of a matrix. Currently igl version
supports sparse only. |
M = diag(D)
|
igl::diag(D,M)
|
Construct new square matrix M with entries of vector D along the
diagonal. Currently igl version supports sparse only. |