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What is Information Theory in Logic Minimization about?

Information theoretic measures are used to minimize logic expressions and circuits. Entropy and mutual information are applied to measure the uncertainty in logic functions. Decision trees are designed using these measures to minimize logic functions by recursively partitioning the function based on variables that remove the most uncertainty. The entropy of a function is reduced by constructing a decision tree, increasing the mutual information between the function and the tree. This information theoretic a

Author

Anjan Kumar

Language

EN