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rowColSolution.java
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package project1;
import java.util.Scanner;
public class project1 {
static int getrow()
{
Scanner input =new Scanner(System.in);
return input.nextInt();
}
static int getcolumn()
{
Scanner input =new Scanner(System.in);
return input.nextInt();
}
static double getScalar()
{
Scanner input =new Scanner(System.in);
return input.nextDouble();
}
static double[][] getMatrix(int columns, int rows)
{
Scanner input =new Scanner(System.in);
double[][] matrix= new double [rows][columns];
//getting the first matrix
System.out.print("Enter your matrix: ");
for(int i=0;i<rows;i++)
{
for(int j=0;j<columns;j++)
{
double arrayElement;
arrayElement= input.nextDouble();
matrix[i][j]=arrayElement;
}
}
return matrix;
}
static void printMatrix(double[][] matrix, int columns, int rows)
{
{
for (int i = 0; i < rows; i++) {
for (int j = 0; j < columns; j++)
System.out.print(matrix[i][j] + ", ");
System.out.println();
}
}
}
static double[][] matrixAddition(double[][] matrix1,double[][] matrix2, int col, int row){
double[][] matrix3 = new double[row][col];
for(int i = 0; i < row; i++) {
for(int j = 0; j < col; j++) {
matrix3[i][j] = matrix1[i][j] + matrix2[i][j];
}
}
return matrix3;
}
static double[][] matrixSubtraction(double[][] matrix1,double[][] matrix2, int col, int row){
double[][] matrix3 = new double[row][col];
for(int i = 0; i < row; i++) {
for(int j = 0; j < col; j++) {
matrix3[i][j] = matrix1[i][j] - matrix2[i][j];
}
}
return matrix3;
}
static double[][] matrixMultiplication(double[][] matrix1,int rows1,int columns1,double[][] matrix2, int rows2, int columns2){
double[][] matrix3 = new double[rows1][columns2];
for(int i = 0; i < rows1; i++) {
for(int j = 0; j < columns2; j++) {
for(int k =0; k < rows2; k++) {
matrix3[i][j] += matrix1[i][k] * matrix2[k][j];
}
}
}
return matrix3;
}
static double[][] scalarDivision(double[][] matrix, int rows, int columns, double scalar)
{
double[][] matrix3 = new double[columns][rows];
for(int i = 0; i < rows; i++) {
for(int j = 0; j < columns; j++) {
matrix3[j][i] = matrix[j][i] / scalar;
}
}
return matrix3;
}
static double[][] scalarMultiplicaiton(double[][] matrix, int rows, int columns, double scalar)
{
double[][] matrix3 = new double[columns][rows];
for(int i = 0; i < rows; i++) {
for(int j = 0; j < columns; j++) {
matrix3[j][i] = matrix[j][i] * scalar;
}
}
return matrix3;
}
static double[][] matrixTranspose(double[][] matrix, int rows, int columns)
{
double[][] matrix3 = new double[rows][columns];
for(int i = 0; i < rows; i++) {
for(int j = 0; j < columns; j++) {
matrix3[i][j] = matrix[j][i];
}
}
return matrix3;
}
public static void main(String[] args) {
Scanner input = new Scanner(System.in);
int decision;
do
{
System.out.println("Choose your matrix operation below: ");
System.out.println("1-)Matrix addition\n2-)Matrix Subtraction\n3-)Matrix Multiplication\n4-)Scalar division of the matrix\n5-)Scalar multiplicaiton of the matrix" +
"\n6-)Transpose of the matrix\n7-)The inverse of the matrix ");
System.out.print("Operation: ");
decision=input.nextInt();
}while(decision<0 || decision>10);
int columns1, columns2, rows1, rows2;
double[][] matrix1, matrix2, matrix3;
double scalar;
if(decision > 0 && decision <= 3)
{
System.out.println("Type column: ");
columns1 = getcolumn();
System.out.println("Type row: ");
rows1 = getrow();
matrix1 = getMatrix(columns1, rows1);
System.out.println("Type column: ");
columns2 = getcolumn();
System.out.println("Type row: ");
rows2 = getrow();
matrix2 = getMatrix(columns2, rows2);
switch(decision){
case 1:
matrix3 = matrixAddition(matrix1, matrix2, columns1, rows1);
printMatrix(matrix3, columns1, rows1);
break;
case 2:
matrix3 = matrixSubtraction(matrix1, matrix2, columns1, rows1);
printMatrix(matrix3, columns1, rows1);
break;
case 3:
if (rows2 != columns1) {
System.out.println("\nMultiplication Not Possible");
break;
}
else
{
matrix3 = matrixMultiplication(matrix1, rows1, columns1, matrix2, rows2, columns2);
printMatrix(matrix3 ,rows1, columns2);
break;
}
}
} else if (decision == 4 || decision == 5)
{
System.out.println("Type column: ");
columns1 = getcolumn();
System.out.println("Type row: ");
rows1 = getrow();
matrix1 = getMatrix(columns1, rows1);
System.out.println("Type double Scalar: ");
scalar = getScalar();
switch (decision)
{
case 4:
matrix3 = scalarDivision(matrix1, rows1, columns1, scalar);
printMatrix(matrix3, columns1, rows1);
break;
case 5:
matrix3 = scalarMultiplicaiton(matrix1, rows1, columns1, scalar);
printMatrix(matrix3, columns1, rows1);
break;
}
} else if(decision == 6 || decision == 7)
{
System.out.println("Type column: ");
columns1 = getcolumn();
System.out.println("Type row: ");
rows1 = getrow();
matrix1 = getMatrix(columns1, rows1);
switch(decision)
{
case 6:
matrix3 = matrixTranspose(matrix1, rows1, columns1);
printMatrix(matrix3, rows1, columns1);
break;
//case 7: Inverse almak baya uzun bir kod o yüzden bunu package kullanmadan mı
//yapalım yoksa package kullanarak mı hocaya sormak lazım.
}
}
}
}