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DC3: A Learning Method for Optimization with Hard Constraints
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I've made a generic implementation for the algorithm: https://github.com/franciscogaluppo/tiny-dc3 Might be useful.
` self._M = 2 * (self.G[:, self.partial_vars] - self.G[:, self.other_vars] @ (self._A_other_inv @ self._A_partial))` Can you tell me what this line of code does, I don't understand what it means