As long as you do not modify the contents of the memory block being referenced by A and B, there is no need to store more than one copy of data. Instead, it creates a copy of the array reference. When you assign an array to a second variable (for instance, when you execute B = A), MATLAB does not allocate new memory right away. If you remove elements from an existing array, MATLAB keeps the memory storage contiguous by removing the deleted elements, and then compacting its storage in the original memory location. MATLAB then copies the contents of the array from its original location to this new block in memory, adds the new elements to the array in this block, and frees up the original array location in memory. This usually requires finding a new block of memory large enough to hold the expanded array. If you add new elements to an existing array, MATLAB expands the array in memory in a way that keeps its storage contiguous. This is because fewer arrays require fewer array headers. However, there could be some advantage to storing large data sets in a small number of large arrays as opposed to a large number of small arrays. For most arrays, the memory required to store the header is insignificant.
MATLAB also stores information about the array data, such as its class and dimensions, in a small, separate block of memory called a header. When you assign a numeric or character array to a variable, MATLAB allocates a contiguous block of memory and stores the array data in that block.
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