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1 sty 2018 · In MATLAB®, there are three primary approaches to accessing array elements based on their location (index) in the array. These approaches are indexing by position, linear indexing, and logical indexing. You can also use mixed indexing by combining both positional and logical indexing.
2 kwi 2011 · Indexing into a matrix is a means of selecting or modifying a subset of elements from the matrix. MATLAB ® has several indexing styles that are not only powerful and flexible, but also readable and expressive.
This MATLAB function returns a vector containing the linear indices of each nonzero element in array X.
Indexing into a matrix is a means of selecting a subset of elements from the matrix. MATLAB has several indexing styles that are not only powerful and flexible, but also readable and expressive. Indexing is a key to MATLAB's effectiveness at capturing matrix-oriented ideas in understandable computer programs.
Consider the matrix A = [1 2 3 4;5 6 7 8]. There are actually two ways to view this matrix, either as a rectangular array of 2 rows and 4 columns, or as a list of 8 elements. Suppose we wanted to isolate the 7 in the matrix A and store it as the variable temp.
1 sty 2018 · In general, you can use indexing to access elements of any array in MATLAB regardless of its data type or dimensions. For example, directly access a column of a datetime array. t = [datetime(2018,1:5,1); datetime(2019,1:5,1)]
Logical Indexing. For logical indexing, if L is a logical vector with the same dimensions as A, you can always treat L as being equivalent to the indices returned by find(L): [0 1 0 1 1 ] ' [2 4 5] This means that we can replace any expression involving logical indices by the expression involving regular indices: A(L; M) ' A(find(L); find(M))
