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The LR (0) item for Grammar G consists of a production in which symbol dot (.) is inserted at some position in R.H.S of production.For Example − For the production S → ABC, the generated LR (0) items will be −S →∙ ABCS → A ∙ BCS → AB ∙ CS → ABC ∙Production S → ε generates only one item, i.e., S →∙Canonical LR (0) collection helps to construct LR parser called Simple LR (SLR) parser.To create Canonical LR (0) collection for Grammar, 3 things are required −Augmented GrammarClosure Functiongoto FunctionAugmented Grammar − If grammar G has start symbol ... Read More
LR Parser is a class of Bottom-Up Parser that is used to parse Context-Free Grammars. LR Parsing is known as LR (K) parsing whereL represents Left to Right Scanning of InputR represents Rightmost DerivationK is the number of input symbols of Look ahead that are used in developing parsing decisions.LR parser is a shift-reduce parser that creates the use of deterministic finite automata, identifying the collection of all applicable prefixes by reading the stack from bottom to top.It decides what handle, if any, is feasible. An achievable prefix of a right sentential form is that prefix that includes a handle, ... Read More
Top-Down Parsing with BacktrackingIn Top-Down Parsing with Backtracking, Parser will attempt multiple rules or production to discover the match for input string by backtracking at every step of derivation. So, if the used production does not give the input string as needed, or it does not match with the needed string, then it can undo that shift.Top-Down Parsing without BacktrackingAs backtracking looks more powerful by which we can select different alternatives. But backtracking cannot be applied or implemented so easily in parsing. There are two types of Top-Down Parsing without Backtracking, which are as follows −Recursive Descent ParserPredictive ParserRecursive Descent ... Read More
SolutionComputation of FIRSTE →TE′Applying Rule (4b) of FIRSTSince FIRST (T) does not contain ε, or T does not derive ε.∴ FIRST (E) = FIRST(TE′) = FIRST(T)∴ FIRST (E) = {FIRST(T)} (1)E → +TE′|εApplying Rule (3) of FIRSTComparing E′ → +TE′with X → aα∴ FIRST(E′) = {+}Apply Rule (2) on E′ → εFIRST (E′) = {ε}∴ FIRST(E′) = {+, ε} (2)T→FT′Apply rule (4b) of FIRSTSince, FIRST(F) does not derive ε∴ FIRST(T) = FIRST(FT′) = FIRST(F)∴ FIRST(T) = {FIRST(F)} (3)T′→*FT′|εComparing with rule (2) & (3) of FIRST, we get∴ FIRST(T′) = {ε, ∗} (4)F→(E)|idComparing with rule (3) of FIRST∴ FIRST(F) = {(, ... Read More
SolutionComputation of FIRSTA → b B∴ FIRST(A) = {b}B → ε∴ FIRST(B) = {ε}S → A a AApplying Rule (4) of FIRSTi.e., Comparing S → A a A with X → Y1Y2Y3∴ FIRST (S) = FIRST (A a A) = FIRST (A) = {b}∴ FIRST(S) = {b}S → B b B∵ FIRST (B)contains ε or B derives ε ∴ Applying Rule (4c)∴ FIRST (S) = FIRST (B to B)∴ FIRST (S) = FIRST (B) − {ε} ∪ FIRST(bB)∴ FIRST (S) = FIRST (B) − {ε} ∪ {b} = {ε} − {ε} ∪ {b} = {b}∴ FIRST (A) = {b}FIRST (B) ... Read More
FIRST and FOLLOW are two functions associated with grammar that help us fill in the entries of an M-table.FIRST ()− It is a function that gives the set of terminals that begin the strings derived from the production rule.A symbol c is in FIRST (α) if and only if α ⇒ cβ for some sequence β of grammar symbols.A terminal symbol a is in FOLLOW (N) if and only if there is a derivation from the start symbol S of the grammar such that S ⇒ αNαβ, where α and β are a (possible empty) sequence of grammar symbols. In ... Read More
Predictive Parser is also another method that implements the technique of Top- Down parsing without Backtracking. A predictive parser is an effective technique of executing recursive-descent parsing by managing the stack of activation records, particularly.Predictive Parsers has the following components −Input Buffer − The input buffer includes the string to be parsed followed by an end marker $ to denote the end of the string.Here a, +, b are terminal symbols.Stack − It contains a combination of grammar symbols with $ on the bottom of the stack. At the start of Parsing, the stack contains the start symbol of Grammar ... Read More
If we have a vector called V that contains five values and a matrix say M that contains five columns and we want to check whether first value in the vector is present in the first column of each row in the matrix and so on for each value in the vector then we can use the below command −t(t(M)==V)Example 1Consider the below matrix and vector −M1
To find the row means for columns starting with specific string in an R data frame, we can use mutate function of dplyr package along with rowMeans function.For Example, if we have a data frame called df that contains three columns say x1_x2, x1_x3, x1_x2 and we want to find the row means for columns x1_x2 and x1_x3 then, we can use the below command −df%%mutate(X1_Cmbn=select(.,starts_with("x1_")) %% rowMeans())Example 1Following snippet creates a sample data frame −Grp1_x
To find the row mean for selected columns in R data frame, we can use mutate function of dplyr package along with rowMeans function.For Example, if we have a data frame called df that contains three columns say X, Y, and Z then mean of each row for columns X and Y can be found by using the below command −df %% mutate(X_Y_Mean=select(.,c("X","Y")) %% rowMeans())Example 1Following snippet creates a sample data frame −x1