Consider the below DFA M and answer the questions. M = ({So, $1, S2, S3}, {0, 1}, 8, so, {s2}),where & is: 8(So, 0) = s1 8(so, 1) = S3 8(s1,0) = S1 6(S1,1) = S2 8(s2,0) = s2 8(s2,1) = S1 8(S3,0) = S3 8(S3,1) = S3 %3D 2.1. Draw a diagram for the DFA M. 2.2. Define a language working on this DFA M. Write it in a set former. 2.3. Justify whether the following strings are accepted or not a. 110011 b. 0101010

Consider the below DFA M and answer the questions. M = ({So, $1, S2, S3}, {0, 1}, 8, so, {s2}),where & is: 8(So, 0) = s1 8(so, 1) = S3 8(s1,0) = S1 6(S1,1) = S2 8(s2,0) = s2 8(s2,1) = S1 8(S3,0) = S3 8(S3,1) = S3 %3D 2.1. Draw a diagram for the DFA M. 2.2. Define a language working on this DFA M. Write it in a set former. 2.3. Justify whether the following strings are accepted or not a. 110011 b. 0101010

Operations Research : Applications and Algorithms

4th Edition

ISBN:9780534380588

Author:Wayne L. Winston

Publisher:Wayne L. Winston

Chapter19: Probabilistic Dynamic Programming

Section: Chapter Questions

Problem 10RP

See similar textbooks

Similar questions

Big-O notation is defined as follows: The function f(n) is O(g(n)) if there are positive integers c and N such that f(n) ≤ c · g(n) for all n > N. Is the relation “f(n) is O(g(n))” reflexive? symmetric? transitive? Justify your answers. “Θ(g(n))” is defined as follows: f(n) is Θ(g(n)) if and only if (f(n) is O(g(n)) & g(n) is O(f(n))). Is the relation “f(n) is Θ(g(n))” reflexive? symmetric? transitive? Justify your answers
Consider the following snapshot of a system: Allocation: A B C DT0 0 0 1 2T1 1 0 0 0T2 1 3 5 4T3 0 6 3 2T4 0 0 1 4 Max: A B C DT0 3 0 1 2T1 1 7 5 0T2 2 3 5 6T3 0 6 5 3T4 0 6 5 6 Available: A B C D2 5 1 0 Answer using the banker’s algorithm. If you think the system is in an unsafe state, write "unsafe" in the answer box, otherwise, write the process sequence that satisfies the safe state. While answering the question write only the id of the Tasks separated with comma, (e.g., for sequence <T4,T2,T1,T0,T3> write only 4,2,1,0,3 ).
How to normalise this realtion From 1NF to 3NF Employee( em_id,name, school_No, Name, Phone, Position, wage) school_no foreign key School_no—>transitive the address from school to employee , teacher,student School (school_No,Address, size) Class(ClassID, Class_name, class_ Descrpt, teacher_id) teacher_id foreign key Student (student_id, Name, DOB, Phone , school_No) school_no foreign key Teach(teacher_id, student_id) both foreign key Take(classID, student_id) both foreign key Payment (PaymentID, paymentDate,Amount, student_id) student_id foreign key Teacher(emp_id ,certificate , subject, school_No) emp_id foreign key school_No foreign key
Given the following transaction database: Sales ID Items S1 {O, W, C, N, Z} S2 {O, C, K, N, Z} S3 {K, N, W, Z, O} S4 {K, W, Z, O} S5 {C, K, N, Z} S6 {O, K, N} S7 {O, N, W, Z} S8 {K, N, Z} What is the output of the Apriori algorithm run on the Previous transaction database with Support 40% and Confidence 90%? Using Apriori Algorithm for Findi the frequent item sets and association rules.Working steps must be shown.
Given the following transaction database: Sales ID Items S1 {O, W, C, N, Z} S2 {O, C, K, N, Z} S3 {K, N, W, Z, O} S4 {K, W, Z, O} S5 {C, K, N, Z} S6 {O, K, N} S7 {O, N, W, Z} S8 {K, N, Z} What is the output of the Apriori algorithm run on the Previous transaction database with Support: 0.4Confidence: 0.9? Working steps must be shown.
Consider the following set of items {A, B, D, F, H}. Create a set of transactions such that the association rule {A, D} => {F, H} would have support=0.3 and confidence 0.6.
SUPPOSE THE THAT OPPORTUNITY COST TABLE TURNS INTO I II III IV V A 8 8 3 0 11 B 10 12 0 5 4 C 0 0 5 3 0 D 0 4 0 6 7 E 0 4 2 3 6 CROSSING OUT THE ZEROES, WE OBTAIN I II III IV V A 0 0 0 0 0 B 0 12 0 5 4 C 0 0 0 0 0 D 0 4 0 6 7 E 0 4 0 3 6 WHICH OF THE FOLLOWING DESCRIBES THE NEXT STEP? Group of answer choices Subtract 3 from all uncovered numbers Subtract 4 from all uncovered numbers and add 4 to all numbers found in the intersection of lines Subtract 4 from uncovered numbers in columns II and IV but subtract 3 from all uncovered numbers in column IV Subtract 3 from all uncovered numbers and add 3 to the numbers found in the intersection of lines
How to normalise this realtion From 1NF to 3NF Employee( em_id,name, school_No, Name, Phone, Position, wage, Address) School (school_No,Address, size) Class(ClassID, Class_name, class_ Descrpt, teacher_id) Student (student_id, Name, Address, DOB, Phone , school_No) Teach(teacher_id, student_id) Take(classID, student_id) Payment (PaymentID, paymentDate,Amount, student_id) Teacher(teacher_id ,certificate , subject, school_No)
Q2: To answer this question, let's take an example of a university faculty with six professors (3 men and 3 women). Professors are ranked from lowest to highest, with 1 being the lowest and 3 being the highest. The male professors are identified as Rao (1), Lalit (3) and Ahmed (2). The Professor's names with their ranks are Monu (3), Rana (1), and Kitty (2). Below are some examples of situations. For each example, provide an ASN.1 description of the record values and their corresponding data types. Consider the ProfessorData data type, which contains details about each professor. An alphabetical list of professors. A list of professors in descending order. There are two sets of professors, each of which consists of a higher-ranking female professor and a male professor of a lower level.
Given the following transaction database from a supermarket: Transaction ID items T1 I1, I2, I3 T2 I2, I3, I4 T3 I4, I5 T4 I1, I2, I4 T5 I1, I2, I3, I5 T6 I1, I2, I3, I4 What is the output of the Apriori algorithm run on the above transaction database with a minimum support of 50 % (i.e. 3 out of 6 transactions)? Calculate the following confidence: {I1, I2} => { I3} {I2} => {I1, I3} {I1, I3} => {I2} Calculate the following lift: {I2} => {I3} {I2} => {I4} {I1, I3} => {I2}
Suppose that a customer at a bakery is selecting 8 cookies to buy. There are 4 varieties of cookies: {chocolate chip, sugar, ginger}. Cookies of the same variety are indistinguishable. How many ways to choose? Group of answer choices C(8, 4) P(8, 4) C(12, 4) C(11, 3)
Build a CKY table to parse each sentence below. Also for the 3 invalidsentences below. I want to travel I like Texas I want to swim Go to South Padre Get a hotel On the beach I want a view Love the sunrise A nice vacation Book a boat I love water Need this trip Waves are high Prefer the boat I enjoy speed 3 Invalid Sentences: Like boat to Trip vacation to Hotel want to CFG: S -> NP VP NP -> 'I' | 'Texas' | 'South Padre' | 'hotel' | 'beach' | 'view' | 'sunrise' | 'vacation' | 'boat' | 'water' | 'trip' | 'waves' | 'speed' VP -> 'want' 'to' V | 'like' NP | 'Go' 'to' NP | 'Get' 'a' NP | 'On' 'the' NP | 'Love' 'the' NP | 'Book' 'a' NP | 'Need' 'this' NP | 'Prefer' 'the' NP | 'enjoy' NP V -> 'travel' | 'swim' | 'be' CFG converted into CNF: S → NP VP NP → N1 | N2 | N3 | N4 | N5 | N6 | N7 | N8 | N9 | N10 | N11 | N12 | N13 | N14 VP → V1 VP2 | V2 NP | V3 NP | V4 NP | V5 NP | V6 NP | V7 NP | V8 NP | V9 NP | V10 NP N1 → 'I' N2 → 'Texas' N3 → 'South Padre' N4 → 'hotel' N5 →…