CS52 - Fall 2015 - Class 22
Lecture notes
admin
- No office hours today (Tuesday) or tomorrow (Wednesday)
- Assignments 9 & 10 are out
- Mentor hours for the rest of the semester are posted
models of computation
- going to look at some very simple models of computation
- much simpler than modern computers
- why simple models?
- they're much easier to understand
- allow us to reason and think about them
- even though they're simple models, many of them can be shown to have similar capabilities as modern computers (just not as fast :)
- therefore, reasoning about these simplified models will (in some cases) allow us to reason about computational power of computers (and other similar things)
- answer questions like:
- What are the capabilities and limitations of computers?
- E.g. are there problems that we could NEVER (even given an infinite amount of time, memory, etc.) answer with a computer?
- slightly different then complexity theory and reasoning about big-O
languages
- a language (L) is a set of strings
- strings in that language are built up from an alphabet of characters, often denoted \sigma
- we want to ask a simple question:
- given a string of characters in \sigma does it belong to the language L
deterministic finite automata (DFA)
- basic idea
- we have a set of states (indicated by circles)
- we have a start state where computation begins (indicated by an arrow)
- we have a collections of final states (indicate by states with an inner circle)
- for each state and each letter in our alphabet, we have a transition to another state
- Note it's critical that for each state there is a transition for each letter in the alphabet
- If not, then if we encountered that letter we wouldn't know what to do!
- computing
- we have a string as input on a tape
- we start at the beginning of the string
- read a symbol from the tape and transition to the state indicated by the model
- if:
- we end in a final state (i.e. when we get to the end of the string we are in a final state) we accept the string
- otherwise, if when we get to the end of the string/tape and we're in a non-final state we reject
- the strings accepted by a DFA define a language
- look at bbab DFA
- We can run different strings through the DFA
- For example: abbbaabab
start in q0
a -> q0
b -> q1
b -> q2
b -> q2
a -> q3
a -> q3
b -> q4
a -> q4
b -> q4
- We accept the string
- What about the following:
- aabab
- reject (finishes in state q2)
- bbb
- reject (finishes in state q2)
- babbab
- accept
- aabbaab
- accept
- aaa
- reject (finishes in state q0)
- what language (in English) does this define)?
- all strings with bbab as a subsequence, possibly with characters in between
formal definition of DFAs
- defined by 5 things
- \sigma: alphabet
- Q: set of states
- q_start: starting state
- F \subset Q: final states
- \delta: state transition function
- Q x \sigma -> Q
- transitions for each state for each letter in the alphabet to some other state
- often written as a table
some DFA examples (found in
DFA_examples
)
- no_a (1): Strings of a's and b's with no a's
- b*
- even_a (2): Strings of a's with an even number of a's
- (aa)*
- 5a (3): Strings with a's that are multiples of 5
- (aaaaa)*
- one_a (4): Strings with only one a
- b*ab*
- start_a (5): all strings that start with a
- a(a|b)*
- start_end: Strings that start and end with the same letter
- (a(a|b)*a)|(b(a|b)*b)|a|b
- odd: odd length strings
- (a|b)((a|b)(a|b))*
- two_a: strings with two or more a's
- (a|b)*a(a|b)*a(a|b)*
- two_exact_a: strings with exactly two a's
- b*ab*ab*
- ab: some number of repetitions of ab
- (ab)*
regular expressions
- another way of expressing a language
- *not* a computational model
- built from three key things:
* (kleene star): 0 or more repetitions
| : union or "or" (has lowest precedence)
() : used to enforce precedence
- for each of the examples above, I have written a corresponding regular expression below it that also describes the language
using JFLAP