Programming What are the final values of a, b, and d?What is the final value of a?Please write the answer like this: a, b, d= 3a = 10ab = 4a = 12d = 5b = 14aа + bb = 16а 3а +аaa= bb= maxb = 18a = b(a,d)а %3D max (а, а)ab = aa = pow (b, b)What is the final value of mul?What are the final value of mul and a? Please write the answer like this:from operator import mulmul, aa = 2from operator import mulb = 3a, b = 8, mul%3Dd = 4%3Db, с 3D 9, 10a = mul(b,d)d = mulmul = aa = amul = mul(a,c)amul = aa = a + amul = mulmul = d

Answered: What are the final values of a, b, and…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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i need answer of all. if any answer will be skipped, your answer will be rejected. only complete answer will be accepted. b) Make a truth table for the statement ¬P ∧ (Q → P). What can youconclude about P and Q if you know the statement is true? a) Make a truth table for the statement (P ∨ Q) → (P ∧ Q). c) Make a truth table for the statement ¬P → (Q ∧ R).
Similarly to question in number 2, using x = 4 ; and y = 2 ; and operator = ' * '. What is the final value of x?
the formula is lm(formula = S ~ X + E1 + E2 + M + E1M + E2M) in R code then the estimate is X 66.91518E1 0.17211E2 0.25801M 0.10412(intercept) 1.07705 Then which of the two is the correct regression expression? 1) S = 66.91518 + 0.17211 + 0.25801 … 2) S = 66.91518 + 0.17211 + 0.25801 … Or if both are wrong, how do I write the regression equation?
Suppose you open a small shop and can't pay electronically. There are only four kinds of coins in the cashbox: 25 cents, 10 cents, 5 cents and 1 cent. If you are a salesperson and want to change 41 cents for customers, how can you arrange to give customers the right amount of money and the least number of coins? The idea:Take the coin with largest denomination without exceeding the remaining amount of cents, make the locally best choice at each step.
Construct a truth table for (p ∨ ¬ q) ∨ (¬ p ∧ q) Use the truth table that you constructed in part 1 to determine the truth value of (p ∨¬q) ∨ (¬ p ∧ q), given that p is true and q is false. Determine whether the given statement is a tautology, contradiction, or contingency. p V (~p V q) ~ (p ∧ q) ~p V ~q
Given x bar = 30 Sigmma x= 12 Sigmma y=1.5 r xy= 0.5 Y bar= 8 Estimate the value of X if the value of Y is12.
Algorithm to An iterative solution to Towers of Hanoi.in: triplet S = s0, s1, s2 representing the current game stateout: triplet R = r0, r1, r2 representing the new game statelocal: pole indices a, b, z ∈ {0, 1, 2}; disc numbers g, h ∈ [2, n]; last(Q) = Q|Q|−1, if1 ≤ |Q|, otherwise, last(Q) = +∞
Show how it is done. 1. What is the simplified logical expression of (¬q ∧ (p → q)) → ¬p? (Answer = T) 2. What is the simplified logical expression of (p ∧ q) → (p → q)? (Answer = T) 3. What is the simplified logical expression of (q ∧ r) ∨ (q ∧ ¬r) ∨ (q ∧ p)? (Answer = q) 4. What is the simplified logical expression of ¬(¬p ∨ ¬q)? (Answer = p ∧ q) 5. What is the simplified logical expression of ¬(p → q) → ¬q ? (Answer = T)
Suppose, you are working in a company ‘X’ where your job is to calculate the profit based on their investment.If the company invests 100,000 USD or less, their profit will be based on 75,000 USD as first 25,000 USD goes to set up the business in the first place. For the first 100,000 USD, the profit margin is low: 4.5%. Therefore, for every 100 dollar they spend, they get a profitof 4.5 dollar.For an investment greater than 100,000 USD, for the first 100,000 USD (actually on 75,000 USD as 25,000 is the setup cost), the profit margin is 4.5% where for the rest, it goes up to 8%. For example, if they invest 250,000 USD, they will get an 8% profit for the 150,000 USD. In addition, from the rest 100,000 USD, 25,000 is the setup cost and there will be a 4.5% profit on the rest 75,000. Investment will always be greater or equal to 25,000 and multiple of 100.Complete the RECURSIVE methods below that take an array of integers (investments)and an iterator (always sets to ZERO(‘0’) when the…
Suppose we use the following KB (where x,y,z are variables and r1, r2, r3, goal are constants) to determine whether a particular robot can score a) Open(x) ∧ HasBall(x) -> CanScore(x) b) Open(x) ∧ CanAssist(y,x) ∧ HasBall(y) -> CanScore(x) c) PathClear(x,y) -> CanAssist(x,y) d) PathClear(x,z) ∧ CanAssist(z,y) -> CanAssist(x,y) e) PathClear(x,goal) -> Open(x) f) PathClear(y,x) -> PathClear(x,y) g) HasBall(r3) h) PathClear(r1, goal) i) PathClear(r2, r1) j) PathClear(r3, r2) k) PathClear(r3, goal) Intuitively, CanScore(x) means x can score on goal. CanAssist(x,y) means there exists some series of passes that can get the ball from x to y. Open(x) means x can shoot on goal directly. And PathClear(x,y) means the path between x and y is clear. Provide a SLD-derivation for the query CanScore(x) in which the answer provided is r1. Provide a SLD-derivation for the query CanScore(x) in which the answer provided is r3. How many "distinct" derivations (i.e., involving different…
Suppose we use the following KB (where x, y, z are variables and r1, r2, r3, goal are constants) to determine whether a particular robot can score. (a) Open(x) ∧ HasBall(x) → CanScore(x)(b) Open(x) ∧ CanAssist(y, x) ∧ HasBall(y) → CanScore(x) (c) PathClear(x,y) → CanAsist(x,y)(d) PathClear(x,z) ∧ CanAssist(z,y) → CanAssist(x,y) (e) PathClear(x,goal) → Open(x)(f) PathClear(y,x) → PathClear(x,y) (g) HasBall(r3)(h) PathClear(r1,goal) (i) PathClear(r2,r1) (j) PathClear(r3,r2) (k) PathClear(r3,goal)
Suppose we use the following KB (where x, y, z are variables and r1, r2, r3, goal are constants) to determine whether a particular robot can score. (a) Open(x) ∧ HasBall(x) → CanScore(x)(b) Open(x) ∧ CanAssist(y, x) ∧ HasBall(y) → CanScore(x) (c) PathClear(x,y) → CanAsist(x,y)(d) PathClear(x,z) ∧ CanAssist(z,y) → CanAssist(x,y) (e) PathClear(x,goal) → Open(x)(f) PathClear(y,x) → PathClear(x,y) (g) HasBall(r3)(h) PathClear(r1,goal) (i) PathClear(r2,r1) (j) PathClear(r3,r2) (k) PathClear(r3,goal) Intuitively, CanScore(x) means x can score on goal. CanAssist(x, y) means there exists some series of passes that can get the ball from x to y. Open(x) means x can shoot on goal directly. And P athClear(x, y) means the path between x and y is clear. Provide a SLD-derivation for the query CanScore(x) in which the answer provided is r1. Provide a SLD-derivation for the query CanScore(x) in which the answer provided is r3. How many “distinct” derivations (i.e., involving different…

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