Hint: when the Problem Statement uses phrases like "reasonably accurate" and "sufficiently accurate", it is a clue that your Test Suite should not require 'equality' to any 'exact values', but rather should include a small tolerance to allow for unavoidable floating-point imprecision.
It was very hard to understand what do you mean.
I'm glad you managed to find a solution. I tried to provide a few extra clues, such as in the Solution Template and in the comment from 02 June. Players will benefit from looking up the Documentation on functions such as "assert", "isequal", etc., along with information on "Floating-Point Numbers" at https://au.mathworks.com/help/matlab/matlab_prog/floating-point-numbers.html . There are also many other resources online, such as www.floating-point-gui.de . For some people this should be a simple problem to implement their existing knowledge; for other people, it should be a learning process. —DIV
Since assert is not working anymore, it is necessary to use the dummy variable and the function error.
Who Has the Most Change?
Reverse Run-Length Encoder
Replace NaNs with the number that appears to its left in the row.
03 - Matrix Variables 3
Back to basics: throwing errors / exceptions
Comparison of floating-point numbers (singles)
Comparison of floating-point numbers (doubles)
Is input the global variable z?
Back to basics: adding comments to your code
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