Bundle: Comptia A+ Guide To It Technical Support, 10th + Mindtap, 1 Term Printed Access Card
10th Edition
ISBN: 9780357012789
Author: Jean Andrews, Joy Dark, Jill West
Publisher: Cengage Learning
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Chapter 13, Problem 18TC
Explanation of Solution
Given: Server.
To find: The best remote connection that can remotely connect the home server with laptop.
Solution:
A remote desktop connection is the best one to access the se...
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14. Show that the language
L= {wna (w) < Nь (w) < Nc (w)}
is not context free.
7. What language is accepted by the following generalized transition graph?
a+b
a+b*
a
a+b+c
a+b
8. Construct a right-linear grammar for the language L ((aaab*ab)*).
5. Find an nfa with three states that accepts the language
L = {a^ : n≥1} U {b³a* : m≥0, k≥0}.
6. Find a regular expression for L = {vwv: v, wЄ {a, b}*, |v|≤4}.
Chapter 13 Solutions
Bundle: Comptia A+ Guide To It Technical Support, 10th + Mindtap, 1 Term Printed Access Card
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- 15. The below figure (sequence of moves) shows several stages of the process for a simple initial configuration. 90 a a 90 b a 90 91 b b b b Represent the action of the Turing machine (a) move from one configuration to another, and also (b) represent in the form of arbitrary number of moves.arrow_forward12. Eliminate useless productions from Sa aA BC, AaBλ, B→ Aa, C CCD, D→ ddd Cd. Also, eliminate all unit-productions from the grammar. 13. Construct an npda that accepts the language L = {a"b":n≥0,n‡m}.arrow_forwardYou are given a rope of length n meters and scissors that can cut the rope into any two pieces. For simplification, only consider cutting the rope at an integer position by the meter metric. Each cut has a cost associated with it, c(m), which is the cost of cutting the rope at position m. (You can call c(m) at any time to return the cost value.) The goal is to cut the rope into k smaller pieces, minimizing the total cost of cutting. B Provide the pseudo-code of your dynamic programming algorithm f(n,k) that will return the minimum cost of cutting the rope of length n into k pieces. Briefly explain your algorithm. What is the benefit of using dynamic programming for this problem? What are the key principles of dynamic programming used in your algorithm?arrow_forward
- Determine whether each of the problems below is NP-Complete or P A. 3-SAT B. Traveling Salesman Problem C. Minimum Spanning Tree D. Checking if a positive integer is prime or not. E. Given a set of linear inequalities with integer variables, finding a set of values for the variables that satisfies all inequalities and maximizes or minimizes a given linear objective function.arrow_forward1. Based on our lecture on NP-Complete, can an NP-Complete problem not have a polynomial-time algorithm? Explain your answer. 2. Prove the conjecture that if any problem in NP is not polynomial-time solvable, then no NP-Complete problem is polynomial-time solvable. (You can't use Theorem 1 and 2 directly) 3. After you complete your proof in b), discuss how this conjecture can be used to solve the problem of whether P=NP.arrow_forwardBased on our lectures and the BELLMAN-FORD algorithm below, answer the following questions. BELLMAN-FORD (G, w, s) 1 INITIALIZE-SINGLE-SOURCE (G, s) 2 for i = 1 to |G. VI - 1 3 4 5 6 7 8 for each edge (u, v) = G.E RELAX(u, v, w) for each edge (u, v) = G.E if v.d> u.d+w(u, v) return FALSE return TRUE 1. What does the algorithm return? 2. Analyze the complexity of the algorithm.arrow_forward
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