Which of the following is/are True? I) If PNP, 3-CLIQUE will be in NP-Complete, but not in NP. II) Hamiltonian path problem is in NP-Complete, as it is in NP and a NP problem can be reduced to Hamiltonian path problem. II) Halting problem is NP-Complete as well as NP-Hard. IV) Euler's circuit problem is in NP, as it can't be solved in polynomial time. A) III and IV B) only II C) only IV D) I and II

Which of the following is/are True? I) If PNP, 3-CLIQUE will be in NP-Complete, but not in NP. II) Hamiltonian path problem is in NP-Complete, as it is in NP and a NP problem can be reduced to Hamiltonian path problem. II) Halting problem is NP-Complete as well as NP-Hard. IV) Euler's circuit problem is in NP, as it can't be solved in polynomial time. A) III and IV B) only II C) only IV D) I and II

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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Which of the following is/are True? I) If P + NP, 3-CLIQUE will be in NP-Complete, but not in NP. II) Hamiltonian path problem is in NP-Complete, as it is in NP and a NP problem can be reduced to Hamiltonian path problem. II) Halting problem is NP-Complete as well as NP-Hard. IV) Euler's circuit problem is in NP, as it can't be solved in polynomial time. A) III and IV B) only II C) only IV D) I and II
Long chain of friends: You are given a list of people, and statements of the form “x knows y”. You are asked to find, is there a chain of k distinct people, such as x1 knows x2, x2 knows x3, and xk-1 knows xk. Prove that this problem is NP-complete by using one of the known NP-complete problems (CLIQUE, 3-SAT, Hamiltonian Path, Hamiltonian Cycle, Independent Set, etc.)
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Given a problem X and Y, if X reduces to Y in polynomial time, and Y is known to be NP-Complete, what can be said about X?
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For a quadratic equation ax-+ bx + c = 0 (a#0), discriminant (b--4ac) decides the nature of roots. If it's less than zero, the roots are imaginary, or if it's greater than zero, roots are real. If it's zero, the roots are equal. For a quadratic equation sum of its roots = -b/a and product of its roots = c/a. Write a complete C program that calculates the roots of a quadratic equation. The program must request inputs of a,b, and c from the user and print the entered equation, and its roots into the output stream.
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For NP- Complete problem, the solution can be verified in polynomial time easily . True False
A damper (or dashpot) is connected to the mass M of the previous problem. This could represent air resistance. The entire system could be a simple model of an automobile wheel suspension system (assuming the automobile body immobile in a vertical direction). Then the damper acts as a shock absorber. As before, the system is displaced and released and x(tg) = x, and v(to) = vo - It can be shown that the motion of the system Is described by the following differential equation: Mx + Dx + Kx(t) = 0 where D is the damping factor of the dashpot and x = v(t) = velocity at time t. Model and simulate the motion of the system from timet= to to t= tf, using a digital computer program, FIG. 1 DAMPER 3 SPRING FIG.I M MASS
We have learned the mid-point and trapezoidal rule for numercial intergration in the tutorials. Now you are asked to implement the Simpson rule, where we approximate the integration of a non-linear curve using piecewise quadratic functions. Assume f(x) is continuous over [a, b]. Let [a, b] be divided into N subintervals, each of length Ax, with endpoints at P = x0, x1,x2,..., X., XN. Each interval is Ax = (b − a)/N. The equation for the Simpson numerical integration rule is derived as: f f(x)dx ≈ [ƒ(x0) + 4 (EN-1,n odd S(x)) + 2 (Σ2²n even f(x)) + f(XN)]. Now complete the Python function InterageSimpson (N, a, b) below to implement this Simpson rule using the above equation. The function to be intergrate is f(x) = 2x³ (Already defined in the function, no need to change). *Complete the function given the variables N, a,b and return the value as "TotalArea"." "Don't change the predefined content' only fill your code in the region *YOUR CODE"" from math import * def InterageSimpson (N, a,…
We have learned the mid-point and trapezoidal rule for numercial intergration in the tutorials. Now you are asked to implement the Simpson rule, where we approximate the integration of a non-linear curve using piecewise quadratic functions. Assume f(x) is continuous over [a, b] . Let [a, b] be divided into N subintervals, each of length Ax, with endpoints at P = x0, x1, x2,.. Xn,..., XN. Each interval is Ax = (b − a)/N. The equation for the Simpson numerical integration rule is derived as: f f(x) dx N-1 Ax [ƒ(x0) + 4 (Σ1,n odd f(xn)) ƒ(x₂)) + f(xx)]. N-2 + 2 (n=2,n even Now complete the Python function InterageSimpson (N, a, b) below to implement this Simpson rule using the above equation. The function to be intergrate is ƒ(x) = 2x³ (Already defined in the function, no need to change).
We have learned the mid-point and trapezoidal rule for numercial intergration in the tutorials. Now you are asked to implement the Simpson rule, where we approximate the integration of a non-linear curve using piecewise quadratic functions. Assume f(x) is continuous over [a, b] . Let [a, b] be divided into N subintervals, each of length Ax, with endpoints at P = x0, x1, X2, ..., Xn,..., XN. Each interval is Ax = (b – a)/N. The Simpon numerical integration rule is derived as: N-2 Li f(x)dx = * f(x0) + 4 (2n odd f(xn)) + 2 ( En=2,n even N-1 f(x,) + f(xn)] . Now complete the Python function InterageSimpson(N, a, b) below to implement this Simpson rule using the above equation. The function to be intergrate is f (x) = 2x³ (Already defined, don't change it). In [ ]: # Complete the function given the variables N,a,b and return the value as "TotalArea". # Don't change the predefined content, only fill your code in the region "YOUR CODE" from math import * def InterageSimpson (N, a, b): # n is…