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  1. Logical Indexing 1. 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] 2. This means that we can replace any expression involving logical indices by the expression involving regular indices: A(L;M) ’ A(find(L ...

  2. 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.

  3. 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.

  4. To index into a table, specify rows and variables using either positions, names, or data types. The result can be either an array or a table. This topic describes the different table indexing syntaxes and when to use each type.

  5. Container Indexing. Using parentheses () for indexing retains the initial data type. Access the underlying data with curly braces {}. Tables and structures also allow you to reference data by name. Examples >>

  6. 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.

  7. 30 kwi 2020 · As of R2020a, the MATLAB data types team has delivered substantial performance improvements for indexing into certain types of arrays. The improved performance comes from in-place optimizations. They are most apparent when you access or assign values to many array elements within a for -loop.

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