Summary of matlab methods used in connie

connie.md

Matlab methods

• size(mat,dim) - Prints the size of a particular dimension of a matrix
• length(arr) - Output the scalar size of an array
• ones(x,y) - Create a vector/matrix of all ones
• zeros(x,y) - Create a vector/matrix of all zeros
• issparse(mat) - Returns 1 if the storage class is sparse
• diag(A), diag(v) - Returns a column vector of the diagonal elements of A or a square matrix with the elements of v as the diagonal elements (zeros elsewhere).
• sparse(A), sparse(m,n) - Creates a sparse matrix from the matrix A or an m by n sparse matrix of all zeros.
• find(X>2), find(X>2)=0 - Finds indicies of elements of X greater than 2, or finds elements of X greater than 2 and sets them to 0
• isempty(A) - Determines whether an array is empty
• intersect(A,B) - Returns data common to A and B without repetition'
• norm(S,'fro') - Calculates the frobenius norm of a sparse matrix.
• union(A,B) - Returns the combined data from A and B without repetition
• rand(rows,cols) - Creates a matrix of random numbers of the given dimensions

Matlab operators

• .* - multiply
• .^ - power
• ./ - divide
• + - addition

Snopt methods

• snsolve() - Can't access
• snopt() - Can't access