We have started our discussion with a single dimension array in our previous section. Single dimension array is the simplest form and there can be more than one dimensions. Lets take an exaple of a physical object. Suppose it is wire or rope. It only has a single dimension which is length.
Our second case is a rectanguler shaped paper. It has length in two directions. One is length and another is width. This is 2D or two dimensional object.
Now take an another case of a book. It has length, width and a thichness. So there are three dimensions thus it is a 3D object.
Same dimension rule is applicable for our C array also. Earlier we discussed single dimension array. It has 0 –(n -1) elemnents.
Now take one example int_array [row][col] . Here array has two dimension or it is of array type 2D. Here each row has a range of 0 – (col -1) elements and n row can have a range from 0 – (row -1). So total elements are (row x col).
Now take a case of 3D array- int_array [height][row][col]. Here we have a 2D planes each having a size of row x col starting from 0 – (height -1). 2D array are often used in matrix calculation. Lets say we have two 2D array and we want to add this and show this result.
Initializing 1D array:
Int_array[<size>] = { <value1>, <value2>, ..};
Initializing 2D array:
Int_array[<row size>][<col size>] = {{ <value1>, <value2>, ..}, { <value1>, <value2>, ..}, … };
Output: 4x3 Matrix addition Ener elements for matrix A A [0][0] = 1 A [0][1] = 2 A [0][2] = 3 A [1][0] = 4 A [1][1] = 5 A [1][2] = 6 A [2][0] = 7 A [2][1] = 8 A [2][2] = 9 A [3][0] = 10 A [3][1] = 11 A [3][2] = 12 Ener elements for matrix B B [0][0] = 13 B [0][1] = 14 B [0][2] = 15 B [1][0] = 16 B [1][1] = 17 B [1][2] = 18 B [2][0] = 19 B [2][1] = 20 B [2][2] = 21 B [3][0] = 22 B [3][1] = 23 B [3][2] = 24 Matrix A 01 02 03 04 05 06 07 08 09 10 11 12 Matrix B 13 14 15 16 17 18 19 20 21 22 23 24 Matrix A + B 14 16 18 20 22 24 26 28 30 32 34 36
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