How to code an axpy operation?

We develop an algorithm to do an axpy operation. Remember an axpy operation is scalar Alpha times X Plus Y. This is operation sets the foundation for calculating linear combinations using for loops. 00:00 -Introduction 00:17 -Math definition for the input variables for an axpy operations 00:33 -Math definition for the output of the axpy operation 01:00 -Pseudo-code for an axpy algorithm 01:32 -Create a script file to play with axpy algorithm 01:52 -Initialize input data: three vectors and one scalar 02:56 -Create desired output using MATLAB’s native operations 03:13 -Initialize output to be a vector of all zeros 03:37 -Sandbox code versus production-level code 03:54 -Write for loop to implement the axpy algorithm 04:29 -Verify output to the algorithm 05:34 -To learn deeply, encode ideas using multiple representations 06:12 -Visual representation of the axpy algorithm 07:50 -Strategic deep learning involves strategic thinking 08:14 -Improve the axpy algorithm with a memory-saving revision 10:38 -Overwrite each entry of vector y with desired output value 11:23 -Challenge 1: How can we adapt this algorithm to row vectors? 11:42 -Challenge 2: How can you visualize the algorithm with memory trick 12:18 -Conclusion