Often in many areas of programming people require a tool which can simplify there n*n matrix multiplication problem in reasonable amount of time.

This can usually be done with 3 tight for loop and special care for handling dimension errors(which i assumes most of you knows) to do this i have a designed a special class and added it to my Utilities framework 1.1.2

Lets quickly take 1 example for 2*2 matrix multiplication using Utilities-1.1.2

This can usually be done with 3 tight for loop and special care for handling dimension errors(which i assumes most of you knows) to do this i have a designed a special class and added it to my Utilities framework 1.1.2

Lets quickly take 1 example for 2*2 matrix multiplication using Utilities-1.1.2

class MatrixMultiplication { public static void main(String[] str) throws DimensionError{ double[][] a = { {1.2,2.25}, {25.0,28.2} }; double[][] b = { {1.2,2.25}, {25.0,25.2} }; double[][] multiplyMatrix = new Math().multiplyMatrix(a, b); for (double[] ds : multiplyMatrix) { for (double d : ds) { System.out.print( d + " "); } System.out.println(); } } } }Output

So, now you know how simple is matrix multiplication.

#### Dimension Errors

A special care has been taken to indicate that matrix multiplication is not possible and this is indicated using DimensionError Exception

consider the following example

import math.DimensionError; import math.Math; public class MatrixMultiplication { /** * @param args the command line arguments */ public static void main(String[] str) { double[][] a = { {1.2,2.25,2}, {25.0,28.2,2}, {25.2, 14.25,2} }; double[][] b = { {1.2,2.25}, {25.0,25.2} }; try{ double[][] multiplyMatrix = new Math().multiplyMatrix(a, b); for (double[] ds : multiplyMatrix) { for (double d : ds) { System.out.print( d + " "); } System.out.println(); } }catch(DimensionError ex){ System.out.println(ex.getErrorMessage()); } } }

#### Output

#### Speed

Worst case time complexity is O(n^3)

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