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How do we read this into a 2D array ( matrix ) in Julia to capitalize on the parallel processing power of Julia ’s syntax? As it turns out, there’s a function for that in the standard library: the DelimitedFiles package.
https://www.assertnotmagic.com/2019/05/17/julia-read-grid/JeffBezanson commented on Aug 8, 2013. rand (5,1) + rand (5) gives a 5x1 matrix , which is not a Vector . We could allow converting an array to one of fewer dimensions if the trailing dimensions are 1 though. I feel like that may have been discussed before,
https://github.com/JuliaLang/julia/issues/3990Convert a vector A into a sparse vector of length m. Examples. julia > sparsevec([1.0, 2.0, 0.0, 0.0, 3.0, 0.0]) 6-element SparseVector{Float64, Int64} with 3 ...
https://docs.julialang.org/en/v1/stdlib/SparseArrays/but some parts of the code (e.g. using WriteVTK) require the coordinates to be in a matrix instead of a vector . Is there anything wrong with adding the following constructor method to convert the above vector to a matrix . Base. Matrix (v:: Vector {SVector {S, T}}) where {S, T} = reduce (hcat, v) and using. m = Matrix (x) mT = transpose ( Matrix (x))
https://discourse.julialang.org/t/convert-vector-svector-to-matrix/27939Note: There can be multiple (reasonable) ways to convert a MATLAB variable to Julia array. For example, MATLAB represents a scalar using a 1-by-1 matrix . Here we have two choices in terms of converting such a matrix back to Julia : (1) convert to a scalar number, or (2) convert to a matrix of size 1-by-1. The mat"" custom string literal
https://libraries.io/julia/MATLABIncremental matrix construction. Since Julia uses the CSC format for sparse matrices, it is inefficient to create matrices incrementally (that is, to insert new non-zeros into the matrix ). As an example, consider building a matrix using a for-loop.
https://robertsweeneyblanco.github.io/Programming_for_Mathematical_Applications/Sparse_Matrices/Sparse_Matrices_In_Julia.htmlActually, this is a little different since it really has nothing to do with other indexing and vector , matrix , tensor behaviors. Assigning any single-element array into a scalar location in another array should probably just work.
https://github.com/JuliaLang/julia/issues/4797Technically, there's still another way to create Vectors in Julia but they are not as widely used and will probably cause some confusion. Remember that you can create an Array of Strings (or any other type, really) using commas between the elements: So you can also create an Array of Integers: These are commonly referred to as 1-D Arrays.
For Julia, Vectors are just a special kind of Matrix, namely with just one row (row matrix) or just one column (column matrix): Julia Vectors can come in two forms: Column Matrices (one column, N rows) and Row Matrices (one row, N columns)
The vec () is an inbuilt function in julia which is used to reshape the specified array as a one-dimensional column vector i.e, 1D array. a::AbstractArray: Specified array. Returns: It returns the reshaped 1D array.
The size of the matrix is determined from the indices, if needed it can also be specified as sparse (rows, cols, vals, m, n). We note that Julia only displays the non-zeros in the matrix. If needed, it can be converted to a dense matrix:
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