A multidimensional array is a data structure that can store elements in multiple dimensions, such as rows and columns (two-dimensional), rows, columns, and depth (three-dimensional), and so on. It is an extension of the concept of a one-dimensional array, where elements are arranged in a single line.
In a multidimensional array:
-
Two-dimensional Array:
- In a two-dimensional array, elements are arranged in rows and columns, forming a grid-like structure. Each element is identified by two indices: one for the row and one for the column.
- Common applications of two-dimensional arrays include representing matrices, tables, grids, and images.
- Example:
[[1, 2, 3],
[4, 5, 6],
[7, 8, 9]]
-
Three-dimensional Array:
- A three-dimensional array extends the concept of a two-dimensional array by adding a third dimension, typically depth.
- Elements are arranged in rows, columns, and depth, forming a cuboidal structure. Each element is identified by three indices.
- Common applications include representing volumetric data, 3D graphics, and nested grids.
- Example:
[[[1, 2],
[3, 4]],
[[5, 6],
[7, 8]],
[[9, 10],
[11, 12]]]
-
Higher-dimensional Arrays:
- Arrays can have more than three dimensions, forming higher-dimensional structures. Each additional dimension adds another axis along which elements are arranged.
- Higher-dimensional arrays are less common but are used in specialized applications such as tensors in machine learning.
- Example: A four-dimensional array representing RGB images with width, height, depth, and color channels.
Key points about multidimensional arrays:
- Indexing: Accessing elements in a multidimensional array requires specifying multiple indices corresponding to each dimension. For example, in a two-dimensional array, you need two indices (row and column) to access an element.
- Homogeneous Elements: Like one-dimensional arrays, elements in multidimensional arrays are typically of the same data type.
- Contiguous Memory Allocation: Elements in multidimensional arrays are stored in contiguous memory locations, allowing for efficient memory access and traversal.
Multidimensional arrays are versatile data structures that allow for the efficient representation and manipulation of data in multiple dimensions, making them suitable for a wide range of applications, including scientific computing, image processing, and data analysis.