Discrete Approximation
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Modern data science, quantum computation, and high-dimensional probability rely on mathematical tools for understanding functions of many yes/no variables and their continuous analogues. This project studies such functions on the discrete cube and in Gaussian space, where approximation, learning, randomness, and boundary structure can be analyzed…
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