Disadvantages of Matrix Data Structure

  • Space inefficient when we need to store very few elements in the matrix.
  • The matrix size should be needed beforehand.
  • Insertion and deletion operations are costly if shifting occurs.
  • Resizing a matrix is time-consuming.

Introduction to Matrix or Grid Data Structure – Two Dimensional Array

Matrix or Grid is a two-dimensional array mostly used in mathematical and scientific calculations. It is also considered as an array of arrays, where array at each index has the same size. In this article, we will cover all the basics of Matrix, the Operations on Matrix, its implementation, advantages, disadvantages which will help you solve all the problems based on Matrix Data Structure.

Table of Content

  • What is a Matrix Data Structure?
  • Representation of Matrix Data Structure
  • Declaration of Matrix Data Structure
  • Initializing Matrix Data Structure
  • Operations on Matrix Data Structure
    • Access elements of Matrix Data Structure
    • Traversal of a Matrix Data Structure
    • Searching in a Matrix Data Structure
    • Sorting Matrix Data Structure
  • Applications of Matrix Data Structure
  • Advantages of Matrix Data Structure
  • Disadvantages of Matrix Data Structure
  • More Practice problems on Matrix Data Structure

Similar Reads

What is a Matrix Data Structure?

Matrix Data Structure is a two-dimensional array that consists of rows and columns. It is an arrangement of elements in horizontal or vertical lines of entries. It is also considered as an array of arrays, where array at each index has the same size....

Representation of Matrix Data Structure:

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Declaration of Matrix Data Structure :

Declaration of a Matrix or two-dimensional array is very much similar to that of a one-dimensional array, given as follows....

Initializing Matrix Data Structure:

In initialization, we assign some initial value to all the cells of the matrix. Below is the implementation to initialize a matrix in different languages:...

Operations on Matrix Data Structure:

We can perform a variety of operations on the Matrix Data Structure. Some of the most common operations are:...

1. Access elements of Matrix Data Structure:

Like one-dimensional arrays, matrices can be accessed randomly by using their indices to access the individual elements. A cell has two indices, one for its row number, and the other for its column number. We can use arr[i][j] to access the element which is at the ith row and jth column of the matrix....

2. Traversal of a Matrix Data Structure:

We can traverse all the elements of a matrix or two-dimensional array by using two for-loops....

3. Searching in a Matrix Data Structure:

We can search an element in a matrix by traversing all the elements of the matrix....

4. Sorting Matrix Data Structure:

We can sort a matrix in two-ways:...

Applications of Matrix Data Structure:

In Algorithms: Matrix are frequently used in problems based on Dynamic Programming Algorithm to store the answer to already computed states.Image processing: Images can be represented as a matrix of pixels, where each pixel corresponds to an element in the matrix. This helps in preforming different operations on images.Robotics: In robotics, matrices are used to represent the position and orientation of robots and their end-effectors. They are used to calculate the kinematics and dynamics of robot arms, and to plan their trajectories.Transportation and logistics: Matrices are used in transportation and logistics to represent transportation networks and to solve optimization problems such as the transportation problem and the assignment problem.Finance: Matrices are used in finance to represent portfolios of assets, to calculate the risk and return of investments, and to perform operations such as asset allocation and optimization.Linear Algebra: Matrices are widely used in linear algebra, a branch of mathematics that deals with linear equations, vector spaces, and linear transformations. Matrices are used to represent linear equations and to solve systems of linear equations....

Advantages of Matrix Data Structure:

It helps in 2D Visualization.It stores multiple elements of the same type using the same name.It enables access to items at random.Any form of data with a fixed size can be stored.It is easy to implement....

Disadvantages of Matrix Data Structure:

Space inefficient when we need to store very few elements in the matrix.The matrix size should be needed beforehand.Insertion and deletion operations are costly if shifting occurs.Resizing a matrix is time-consuming....

More Practice problems on Matrix Data Structure:

QuestionPracticeRotate a Matrix by 180 degree Link Program to print the Diagonals of a Matrix Link Rotate Matrix ElementsLinkInplace rotate square matrix by 90 degrees | Set 1LinkSort the given matrixLinkFind unique elements in a matrix Link Find the row with the maximum number of 1sLinkProgram to multiply two matricesLinkPrint a given matrix in spiral formLinkFind unique elements in a matrixLinkRotate the matrix right by K timesLinkFind the number of islandsLinkCheck given matrix is a magic square or notLinkDiagonally Dominant MatrixLinkSubmatrix Sum QueriesLinkCounting sets of 1s and 0s in a binary matrixLinkPossible moves of a knightLinkBoundary elements of a MatrixLinkCheck horizontal and vertical symmetry in binary matrixLinkPrint matrix in a diagonal patternLinkFind if the given matrix is Toeplitz or notLinkShortest path in a Binary MazeLinkMinimum Initial Points to Reach DestinationLinkFind a common element in all rows of a given row-wise sorted matrixLink...

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