In Ubique number is a number with dimension 1x1, array is a column vector Nx1, array of array is a matrix MxN.
Functions applied to matrices are column-major order as in MATLAB (but the storage is always the native javascript row-major order).
MATLAB uses 1-based indexing, first element in array is array(1), the last one is array(length(array)).
Ubique uses 0-based indexing, first element in array is array[0], the last one is array[array.length - 1].
MATLAB uses 1 as dimension for rows and 2 for columns. Ubique uses 0 as dimension for rows and 1 for columns.
In MATLAB it's possible to clone a variable A with the simple sequence: A = [5;4;3] and B = A. If we change an element in B, B(1) = NaN, A doesn't change his values
A = [5;4;3] and B = [NaN;4;3].
In Ubique (based on native Javascript) this sequence doesn't work and we'll have this finale result: A = [NaN,4,3] and B = [NaN,4,3]. We must clone the array or matrix with a
special function clone in Ubique.
| MATLAB | ubique. | description |
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| a = [5,6,5;7,8,-1] | var a = [[5,6,5],[7,8,-1]] | Matrix 2x3
| b = [-1,3,-1;4,5,9] | var b = [[-1,3,-1],[4,5,9]] | Matrix 2x3
| c = [5;6;3] | var c = [[5],[6],[3]] or c = [5,6,3] | Vector/Array 3x1
| s = 10 | var s = 10 | Number 1x1
| l = [[1,1,-1];[1,-2,3];[2,3,1]] | var l = [[1,1,-1],[1,-2,3],[2,3,1]] | Square matrix 3x3
| f = [[3, 2]; [5, 2]] | var f = [[3, 2], [5, 2]] | Square matrix 2x2
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| a + b | plus(a,b) | Addition A + B
| a - b | minus(a,b) | Subtraction A - B
| a.* b | times(a,b) | Array multiply A. * B (element-by-element multiplication)
| a * b | mtimes(a,b) | Matrix multiplication A * B
| a./ b | rdivide(a,b) | Right array division A. / B
| a / l | mrdivide(a,l) | Matrix division A / B (B must be square)
| a.\ b | ldivide(a,b) | Left array division A. \ B
| f \ a | mldivide(f,a) | Matrix division A \ B (A must be square)
| a.^ 2 | power(a,2) | Element-wise power A. ^ B
| f^2 | mpower(f,2) | Matrix power A ^ B
| -a | uminus(a) | Unary minus -A
| a(:,1) | col(a,0) | Get a column of a matrix
| a(1,:) | row(a,0) | Get a row of a matrix
| z = 1:2:9 | var z = colon(1,9,2) | Create vector -> z = [1, 3, 5, 7, 9]
| c(end) | subset(c,end(c)) | Last value in array
| a(end,end) | subset(a,end(a,0),end(a,1)) | Last value in matrix
| a(end,:) | row(a,end(a,0)) | Last row in matrix
| a(:,end) | col(a,end(a,1)) | Last column in matrix
| a(2:5) | subsetlin(a,colon(1,4)) | Subset of matrix based on linear indexing (0..N-1)
| a(1:2,2:3) | subset(a,colon(0,1),colon(1,2)) | Subset of matrix based on X,Y coordinates
| a(1:2,:) |subset(a,colon(0,1),':') | Subset of matrix based on some X-elements and all Y elements
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| [x1,x2] = ind2sub(size(a),[3,4]) | ind2sub(size(a),[2,3]) | Multiple subscripts from linear index -> [[0, 1], [1, 1]]
| sub2ind(size(a),[1,2],[2,2]) | sub2ind(size(a),[[0, 1], [1, 1]]) | Subscripts to linear indices -> [2,3]
| numel(a) | numel(a) | Number of array/matrix elements
| size(a) | size(a) | Array/Matrix dimensions
| arrayfun(@(x)sign(x),l) | arrayfun(l,sign) | Apply function to each element of array or matrix
| det(l) | det(l) | Matrix determinant
| inv(f) | inv(f) | Matrix inverse
| [L,U,P] = lu(f) | lu(f) | LU matrix factorization. Return LU (lu matrix),L (lower triangular matrix), U (upper triangular matrix),P (pivot vector),S (pivot sign) +1 or -1
| linsove(l,eye(3)) | linsolve(l,eye(3)) | Solve linear system of equations Ax = b using LU factorization with rows pivoting
| cat(1,a,b) | cat(0,a,b) | Concatenate arrays and matrices
| cat(1,a,b,c') | cat(0,a,b,transpose(c)) | Concatenate multiple inputs
| horzcat(a,b) | horzcat(a,b) | Concatenate matrices horizontally
| vertcat(a,b,c') | vertcat(a,b,transpose(c)) | Concatenate arrays or matrices vertically
| eye(3) | eye(3) | Identity matrix
| diag(l,-1) | diag(l,-1) | Diagonal matrix and get diagonals of a matrix
| zeros(3,2) | zeros(3,2) | Create an array or matrix of all zeros
| ones(3,2) | ones(3,2) | Create an array or matrix of all ones
| true(3,2) | trues(3,2) | Create an array or matrix of all true
| false(3,2) | falses(3,2) | Create an array or matrix of all false
| nan(3,2) | nan(3,2) | Create an array or matrix of all NaN
| ones(3) * 5 | matrix(3,3,5) | Create a matrix 3x3 with all value 5
| sort(c,'descend') | sort(c,'descend') | Sort array elements in ascending/descending order. For matrix it is possibile to sort along a dimension. Based on Merge Sort algorithm
| reshape(l,1,9) | reshape(l,1,9) | Reshape array or matrix with custom values
| repmat(c,1,2) | repmat(c,1,2) | Replicate and tile array
| linspace(1,10,5) | linspace(1,10,5) | Create linearly spaced arrays
| logspace(0.1,1,5) | logspace(0.1,1,5) | Create logarithmically spaced arrays
| flipdim(a,2) | flipdim(a,1) | Flip order of elements in array or matrix
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