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The exercise asks students to implement a Matlab function conditionalentropy(p) that computes the conditional entropy of X given Y from a 2D joint probability matrix $p(x,y)$. It includes specific test cases to verify correctness, such as deterministic and uniform distributions.

Conditions: Input p is assumed to be a 2D joint probability array $p(x,y)$.; Students may reuse existing entropy() and jointentropy() routines.

The exercise asks students to implement a Matlab function conditionalentropy(p) that computes the conditional entropy of X given Y from a 2D joint probability matrix $p(x,y)$. It includes specific test cases to verify correctness, such as deterministic and uniform distributions.

Conditions: Input p is assumed to be a 2D joint probability array $p(x,y)$.; Students may reuse existing entropy() and jointentropy() routines.