Checklist of all the things you've learned in CS 3100, Fall 2010
Also a small Mapping Reduction proof at the end
Handed out 12/9/10
Final Exam: The final exam will have
closed-book multiple-choice short questions
on all these topics below, for 50 minutes. Then after a 5-minute
break, you'll be given a 60-minute long
open-book exam on all the bold-faced
topics plus the mapping reduction proof at the end (or small
variants of this mapping reduction).
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- Designing simple FAs and Reg Exps
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- Identify strings in a given Reg Exp
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- Basic notions about sets and strings (Powerset etc)
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- FA, Reg Exp conversions
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- DFA to Reg Exp conversion
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- DFA minimization (studied much later)
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- FA operations (intersection, reversal, etc), and
whether closure is guaranteed
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- Why some languages are not regular; Pumping lemma
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- Alternate characterization of
regularity: Ultimate periodicity
and ``lasso shapes'' for minimal DFA (studied much later)
over a singleton alphabet
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- Midterm examined the above, esp. exp growth of
NFA/DFA conversion, etc.
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- Flex experiments
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- PDA design using JFLAP; NPDA, DPDA
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- What JFLAP helps you do: freeze configurations,
watch non-determinism evolve, Pumping Lemma tutor,
conversions from DFA to RE, etc.
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- Designing simple CFGs
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- CFG consistency, completeness, simplification
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- Pumping Lemma for CFLs
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- Why certain CFLs are not closed under complementation
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- Parsing using dynamic programming using
the Chomsky normal form of a CFG (the table filling idea)
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- CFG to PDA and back
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- The Chomsky normal form; why it guarantees
certain derivation lengths
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- General story of pumping: not an iff theorem
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- Yacc based design of calculator
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- Linearity of CFGs, and what it means
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- PDA and CFG operations (union, intersection, etc.) and
whether closure is guaranteed
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- The LBA classification (briefly) and context
sensitive languages
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- Designing simple Turing machines (DTM, NDTM, multi-tape TM).
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- Language classifications: RE, Recursive, etc. and what
it means
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- Basic results: Universality of CFGs being undecidable;
emptiness being decidable; status of grammar equivalence
(decidable or not)
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- Printer TM and decider TM, conversions
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- Self referential statements, self-denying TMs STM
being undecidable
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- Favorite sets : ATM etc. and status of decidability
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- Diagonalization. Use in cardinality comparison
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- Notion of onto and into functions
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- Schröder-Bernstein Theorem and its uses to compare
cardinalities
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- Cardinality based arguments to show there are non-RE languages
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- Proof of undecidability of the Halting problem. Two
approaches: diagonalization proof, and proof based on
STM.
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- Time-complexity classes NP, P, NPC. What a
non-deterministic algorithm is.
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- Mapping reductions: what they are.
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- Mapping reductions for showing undecidability
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- Mapping reductions for showing NP-completeness: the
SAT to Clique reduction.
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- BDDs for simple Boolean functions.
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- BDDs as minimal DFA
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- BDDs used to express Logic
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- BDDs to synthesize circuits using multiplexors
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- How many Boolean functions over N inputs
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- How to use a 4-to-1 mux to implement all possible
2-input Boolean functions
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- Variable ordering
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- What it means for a problem to be NP-complete
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- How Regular, DCFL, CFL, CSL, NPC, Decidable,
RE, non-RE are contained.
Show that EQTM is not RE.
Proof: Build two
machines M1 which always rejects and M2 which accepts any x
so long as M accepts w. Then we have achieved
ATM£m EQTM. This means
ATM£m EQTM. Thus, EQTM can't be RE (else
we will have an enumerator for ATM.
This document was translated from LATEX by
HEVEA.