Java Matrix Programs

Java Matrix Programs

A matrix is ​​a two-dimensional array. The matrix elements are arranged in a row and column format. A matrix with m rows and n columns is called an m × n matrix. Elements are individual entries in the matrix that are represented as “aij“, which means element a is in the ith row and jth column. The following section contains various Java programs on matrix operations, matrix diagonals, matrix types like sparse matrix, inverse matrix, invertible matrix, adjacency matrix, and square matrix.

Each example program includes a program description, Java code, and program output. All examples have been compiled and tested on Windows and Linux systems.

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Here is the listing of Java programming examples on Matrix Operations:

  1. Java Programs on Matrix Operations
  2. Java Programs on Matrix Types
  3. Java Programs on Matrix Rows and Columns
  4. Java Programs on Matrix Diagonals
  5. More Matrix Programs

1. Java Programs on Matrix Operations

Program Description
Matrix Multiplication in Java Java Program to Multiply Two Matrices
Multiplicability of Two Matrices in Java Java Program to Check the Multiplicability of Two Matrices
Matrix Basis & Dimension in Java Java Program to Find Basis and Dimension of a Matrix
Transpose Matrix in Java Java Program to Find Transpose of a Matrix
Determinant of a Matrix in Java Java Program to Find the Determinant of a Matrix
Matrix Linear Equations in Java Java Program to Represent Linear Equations in Matrix Form

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2. Java Programs on Matrix Types

Program Description
Inverse Matrix in Java Java Program to Find Inverse of a Matrix
Input: Enter the dimension of square matrix: 2
Enter the elements of matrix:
1 2
3 4
Output: Inverse Matrix
-1.9999999999999998 1.0
1.4999999999999998 -0.49999999999999994
Invertible Matrix in Java Java Program to Check if a Matrix is Invertible
Input: Enter the order of the square matrix: 3
Enter the elements of the square matrix:
1 2 3
4 5 6
7 8 9
Output: Matrix is not Invertible, as the determinant is : 0.0
Sparse Matrix Size in Java Java Program to Implement Sparse Matrix
Sparse Matrix Program in Java Java Program to Determine if a given Matrix is a Sparse Matrix
Check if a Matrix is Sparse or Not in Java Java Program to Check if a Matrix is a Sparse Matrix
Input: Enter the dimensions of the matrix: 3 4
Enter the elements of the matrix:
1 0 0 0
0 1 0 0
0 0 1 1
Output: Given matrix is a sparse matrix
Maximum Square Matrix with All 1’s in Java Java Program to Find the Maximum Square Matrix with All 1’s
Input: Enter the matrix:
0111
0111
0111
0101
Output: Maximum Sub-matrix is
111
111
111

3. Java Programs on Matrix Rows and Columns

Program Description
Sum & Product of Matrix Elements in Java Java Program to Find the Sum and Product of Elements in a Row/Column
Interchange Rows & Columns of a Matrix in Java Java Program to Interchange Any Two Rows and Columns in the Matrix
Find Row with Maximum Number of 1s in Java Java Program to Find the Row with Maximum Number of 1s
Find Column with Maximum Number of 1s in Java Java Program to Find the Column with Maximum Number of 1s

4. Java Programs on Matrix Diagonals

Program Description
Addition of Two Matrix in Java Java Program to Add Two Matrices
Interchanging Matrix Rows in Java Java Program to Interchange Diagonals of Matrix
Find Trace & Normal of a Matrix in Java Java Program to Find the Trace and Normal of a Matrix
Lower Triangular Matrix in Java Java Program to Display Lower Triangular Matrix
Upper Triangular Matrix in Java Java Program to Display Upper Triangular Matrix

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5. More Matrix Programs

Program Description
Find Frequency of Odd & Even Numbers in Matrix in Java Java Program to Find the Frequency of Odd and Even Numbers in Matrix
Message Encoding using Matrix in Java Java Program to Perform Message Encoding Using Matrix Multiplication
LU Decomposition in Java Java Program to Perform LU Decomposition of Any Matrix

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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