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.
Energy of a photon
What is the distance from point P(x,y) to the line Ax + By + C = 0?
Celsius to Kelvin
Back to basics: throwing errors / exceptions
Testing for randomness: uniform distribution of real numbers (distribution checking)
The other half of the Fibonacci sequence
Code breaker, Part I: Operation Phoenix
Make your own Test Suite (part 2)
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