The document discusses context free languages and context free grammars. It defines context free grammar as consisting of an alphabet, set of nonterminals including a start symbol S, and productions. A context free language is the set of strings generated from the start symbol using productions. Examples of context free grammars and their generated languages are provided. The relationship between regular and context free languages is explored.
Introduction:
A context-free grammar (CFG) is a term used in formal languages theory to describe a certain type of formal grammar. A context-free grammar is a set of production rules that describe all possible strings in a given formal language. Production rules are simple replacements. For example, the rule
A α
In automata theory, a deterministic pushdown automaton (DPDA or DPA) is a variation of the pushdown automaton. The DPDA accepts the deterministic context-free languages, a proper subset of context-free languages. Machine transitions are based on the current state and input symbol, and also the current topmost symbol of the stack. Symbols lower in the stack are not visible and have no immediate effect. Machine actions include pushing, popping, or replacing the stack top. A deterministic pushdown automaton has at most one legal transition for the same combination of input symbol, state, and top stack symbol. This is where it differs from the nondeterministic pushdown automaton.
Theory of competition topic simplification of cfg, normal form of FG.pptxJisock
Table of Contents (TOC) is a list of the headings or sections in a document, typically found at the beginning of the document. The TOC provides a quick reference for the reader to navigate to the specific section they are interested in reading.
In terms of grammar, TOCs often use parallel structure to list the headings and subheadings, such as using bullet points or numbered lists. In addition, TOCs may also use capitalization, bold or italic formatting to indicate the level of the heading or subheading.
A typical TOC structure is to start with the main heading, followed by subheadings and sub-subheadings. For example, the main heading may be "Introduction," followed by subheadings "Background," "Purpose," and "Methodology." Each subheading may then have sub-subheadings, such as "Background" having sub-subheadings "Historical context" and "Recent developments."
It's important to note that TOCs can vary depending on the type of document and the style guide being used. Some TOCs may use numbers, while others use bullet points. Additionally, some TOCs may include page numbers while others may not.
In summary, TOCs provide a quick reference for the reader to navigate the document, often using parallel structure, capitalization, and formatting to indicate the level of headings and subheadings. The structure and formatting of TOCs may vary depending on the type of document and style guide being used.
Automata theory - describes to derives string from Context free grammar - derivation and parse tree
normal forms - Chomsky normal form and Griebah normal form
Introduction:
A context-free grammar (CFG) is a term used in formal languages theory to describe a certain type of formal grammar. A context-free grammar is a set of production rules that describe all possible strings in a given formal language. Production rules are simple replacements. For example, the rule
A α
In automata theory, a deterministic pushdown automaton (DPDA or DPA) is a variation of the pushdown automaton. The DPDA accepts the deterministic context-free languages, a proper subset of context-free languages. Machine transitions are based on the current state and input symbol, and also the current topmost symbol of the stack. Symbols lower in the stack are not visible and have no immediate effect. Machine actions include pushing, popping, or replacing the stack top. A deterministic pushdown automaton has at most one legal transition for the same combination of input symbol, state, and top stack symbol. This is where it differs from the nondeterministic pushdown automaton.
Theory of competition topic simplification of cfg, normal form of FG.pptxJisock
Table of Contents (TOC) is a list of the headings or sections in a document, typically found at the beginning of the document. The TOC provides a quick reference for the reader to navigate to the specific section they are interested in reading.
In terms of grammar, TOCs often use parallel structure to list the headings and subheadings, such as using bullet points or numbered lists. In addition, TOCs may also use capitalization, bold or italic formatting to indicate the level of the heading or subheading.
A typical TOC structure is to start with the main heading, followed by subheadings and sub-subheadings. For example, the main heading may be "Introduction," followed by subheadings "Background," "Purpose," and "Methodology." Each subheading may then have sub-subheadings, such as "Background" having sub-subheadings "Historical context" and "Recent developments."
It's important to note that TOCs can vary depending on the type of document and the style guide being used. Some TOCs may use numbers, while others use bullet points. Additionally, some TOCs may include page numbers while others may not.
In summary, TOCs provide a quick reference for the reader to navigate the document, often using parallel structure, capitalization, and formatting to indicate the level of headings and subheadings. The structure and formatting of TOCs may vary depending on the type of document and style guide being used.
Automata theory - describes to derives string from Context free grammar - derivation and parse tree
normal forms - Chomsky normal form and Griebah normal form
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
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Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
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Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
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2. CONTEXT FREE GRAMMAR (CFG)
Context Free Grammar (CFG) is a collection of
three things:
1. An alphabet of letters called terminals from which
we are going to make strings that will be the words
of a language.
2. A set of symbols called nonterminals, one of which
is the symbol S, standing for "start here“ known as
“Start Symbol”.
3. A finite set of productions of the form one
nonterminal -) finite string of terminals and/or
nonterminals where the strings of terminals and
nonterminals can consist of only terminals or of
only nonterminals, or any mixture of terminals and
nonterminals or even the empty string.
3. CONTEXT FREE LANGUAGE (CFL)
The language generated by a CFG is the set
of all strings of terminals that can be
produced from the start symbol S using the
productions as substitutions.
A language generated by a CFG is called a
context-free language, abbreviated CFL.
4. EXAMPLES
S aS can be written as S aS |A
S A
L = {A a aa aaa aaaa ……}
S SS | a|A
L = {A a aa aaa aaaa ……}
S SS | a
L = {a aa aaa aaaa ……}
S aS | bS |a|b|A
L={A a b aa ab ba bb …….}
7. PARSE TREE
S--> aSa | bSb | a | b | A
L={A a b aa bb aaa aba bab bbb
......}
Parse tree uses for membership
verification
word aabaa L
8. S aS | Sa | a
L = {a aa aaa aaaa aaaaa ……..}
If there are multiple parse trees generated for
same input then grammar will be ambiguous
AMBIGUOUS GRAMMAR
10. REGULAR AND CONTEXT FREE LANGUAGES
Theorem
All regular languages are also context free
languages but not vise versa.
Proof
Method 1
Regular languages are defined by regular
expression.
Regular expression can be converted into context
free grammar using following rules:
Decompose regular expression of language L into sub-
regular expressions and assign them names as
nonterminals in CFG
Convert all + with either rules option as
a+b with S a| b
11. EXAMPLE
(a + b)*bbb(a + b)*
X Y X
Context Free Grammar
S XYX
X aX | bX | A
Y bbb
14. Method 2
Regular language can be defined with FA.
FA can be converted into CFG using following
method:
Assign names to all states of FA; normally S for start
state.
Rules for CFG will be defined as:
Sourse state name (transition contents) (target state name)
For final state, one additional rule will be defined as:
Final state name A
Ignore all those states which involve in those paths
which do not converge towards final state.
REGULAR AND CONTEXT FREE LANGUAGES
16. ANOTHER EXAMPLE
= {a b c}
S aM | bS |cS
M aM | bN | cS
N aM | bS | cO
O aP | bO | cO | A
P aP | bQ | cO | A
Q aP | bO | cS |A
17. NONREGULAR AND CONTEXT FREE LANGUAGES
Some of the nonregular languages can be
defined using Context Free Grammar, so
such nonregular languages which can be
define by CFG are also CFLs.
For example
Language of PALINDROME
S aSa | bSb | a | b
S aSb | A
18. UNIT AND LEMBDA PRODUCTIONS
A production is of the form
Nonterminal one nonterminal
is called unit production
A production is of the form
Nonterminal A
is called lembda production
19. CHOMSKY NORMAL FORM
If a CFG has only productions of the form
Nonterminal string of two Nonterminals
or of the form
Nonterminal one terminal
it is said to be in Chomsky Normal Form,
CNF.
21. ANOTHER EXAMPLE
S bA | aB
A bAA | aS | a
B aBB | bS | b
Conversion of this CFG into Chomsky Normal Form
S YA | XB
A YR1 | XS | a
B XR2 | YS | b
X a
Y b
R1 AA
R2 BB
22. LEFTMOST AND RIGHTMOST DERIVATIONS
If a word w is generated by a CFG by a certain
derivation and at each step in the derivation a
rule of production is applied to the leftmost
nonterminal in the working string, then this
derivation is called a leftmost derivation.
If a word w is generated by a CFG by a certain
derivation and at each step in the derivation a
rule of production is applied to the rightmost
nonterminal in the working string, then this
derivation is called a rightmost derivation.
23. EXAMPLE
Consider the CFG:
S aSX | b
X Xb | a
Leftmost derivation: Rightmost derivation:
S aSX S aSX
aaSXX aSa
aabXX aaSXa
aabXbX aaSXba
aababX aaSaba
aababa aababa