manzmike / matrix_multplier

Matrix Multplication for diffrent matrixies

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EGRE 347 Applied Object Oriented Programming
Homework #3 – C++ Operator Overloading

This homework must be your own (individual) work as defined in the course syllabus and discussed in class.

You have been provided with an implementation of a 2x2 Matrix class. The Matrix class is defined in the header file called matrix.h and implementation of the current Matrix class methods is in the matrix.cpp file. In addition, there is a main.cpp file that tests the initial implementation of the Matrix class, along with an appropriate Makefile.

Assignment Requirements

1. Add overloaded operators for the following:

   • Assignment operator =
   • Matrix addition +
   • Matrix subtraction -
   • Matrix multiplication *
   • Matrix division /
   • Multiplication operator * for multiplying a matrix by a scalar double quantity.

2. Implement an insertion operator << for:

   • Printing the matrix using cout
   • The cout insertion operator output for the Matrix should result in exactly the same output as the print() method.
   • Printing the matrix to a file.

3. Implement an extraction operator >> for reading a matrix from a file. The input file format should resemble:

-10.0 20.0
-30.0 40.0

4. Use the provided main2.cpp to test your implementation. Ensure your Matrix class implementation complies with the interface used in this main file. You are not permitted to change the main2.cpp file in any way.

Sample Output

a matrix is:
--- ---
| 0.0000 0.0000 |
| |
| 0.0000 0.0000 |
--- ---
... [continue with the rest of the output]

File Output Example

-20.0 40.0
-60.0 80.0

Submission

1. Create a git bundle file named hw3.bundle containing all your source files.
2. Ensure you have a working Makefile to compile your solution in C++. Your solution should compile without any errors or warnings.
3. Include a screenshot of the test program being executed on YOUR Raspberry Pi computer. Failure to include this screenshot will result in your program receiving a maximum grade of 50%.
4. Submit by attaching the git bundle file to the assignment submission page.
5. Ensure adherence to the class policy regarding late submissions. No late submissions are permitted unless prior arrangement has been made with the instructor.