Regular Expressions — Theory of Computation
⭐ A Simple Way to Think About Regular Expressions If strings were people in a crowd, then a regular expression
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Category: Theory of Computation
Closure Under the Regular Operations — Theory of Computation
⭐ Why “closure” matters Closure tells us what we can build using regular languages. If you know regular languages are
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Equivalence of DFAs and NFAs
⭐ Why is this important? It tells us something beautiful: It’s like sketching an idea freely on paper (NFA) and
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Nondeterministic Finite Automata
⭐ Why do we need NFAs? You might ask:“Why use something that gives multiple choices? Isn’t that confusing?” Actually, NFAs
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Regular Operations — Theory of Computation
🌱 The Three Main Regular Operations There are three classic operations every student should know: Let’s explore them in a
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Finite Automaton First Example — Deterministic Finite Automata
🌱 What Exactly Is a DFA?** Think of a DFA as a little robot with: The robot reads a string
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Proof Techniques: Proofs by Induction
🌱 What Is Proof by Induction? Imagine you set up a long line of dominoes on the floor.If: then the
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Proof Techniques: The Pigeonhole Principle
What is the Pigeonhole Principle? The pigeonhole principle says: “If you try to place more objects than the number of
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Proofs by Contradiction — Proof Techniques in Theory of Computation
⭐ What Is a Proof by Contradiction? (Simple Words) A proof by contradiction works like this: It’s like pulling a
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Nonconstructive Proofs — Proof Techniques in Theory of Computation
⭐ What Is a Nonconstructive Proof? A nonconstructive proof demonstrates that something exists without directly building it. You don’t produce:
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