PAC MindLink MindTap Enh Discovering Computers & Microsoft Office 2013: Fundamental
13th Edition
ISBN: 9781305492394
Author: Cenage Learning
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Question
Chapter 2, Problem 21CT
Program Plan Intro
Virtual reality:
- It is a high end user interface that includes the real time situations and interactions through multiple channels.
- The special interface device is used to transmit the sounds and sensation to the users of real-world.
- It is also defined as the experience that takes place within fake and immersive environments that may be similar to or quite different to that of real world.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
9. Let L₁=L(ab*aa), L₂=L(a*bba*). Find a regular expression for (L₁ UL2)*L2.
10. Show that the language
is not regular.
L= {a":n≥1}
11. Show a derivation tree for the string aabbbb with the grammar
S→ABλ,
A→aB,
B→Sb.
Give a verbal description of the language generated by this grammar.
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)*).
Chapter 2 Solutions
PAC MindLink MindTap Enh Discovering Computers & Microsoft Office 2013: Fundamental
Ch. 2 - Prob. 1SGCh. 2 - Prob. 2SGCh. 2 - Prob. 3SGCh. 2 - Prob. 4SGCh. 2 - Prob. 5SGCh. 2 - Prob. 6SGCh. 2 - Prob. 7SGCh. 2 - Prob. 8SGCh. 2 - Prob. 9SGCh. 2 - Prob. 10SG
Ch. 2 - Prob. 11SGCh. 2 - Prob. 12SGCh. 2 - Prob. 13SGCh. 2 - Prob. 14SGCh. 2 - Prob. 15SGCh. 2 - Prob. 16SGCh. 2 - Prob. 17SGCh. 2 - Prob. 18SGCh. 2 - Prob. 19SGCh. 2 - Prob. 20SGCh. 2 - Prob. 21SGCh. 2 - Prob. 22SGCh. 2 - Prob. 23SGCh. 2 - Prob. 24SGCh. 2 - Prob. 25SGCh. 2 - Prob. 26SGCh. 2 - Prob. 27SGCh. 2 - Prob. 28SGCh. 2 - Prob. 29SGCh. 2 - Prob. 30SGCh. 2 - Prob. 31SGCh. 2 - Prob. 32SGCh. 2 - Prob. 33SGCh. 2 - Prob. 34SGCh. 2 - Prob. 35SGCh. 2 - Prob. 36SGCh. 2 - Prob. 37SGCh. 2 - Prob. 38SGCh. 2 - Prob. 39SGCh. 2 - Prob. 40SGCh. 2 - Prob. 41SGCh. 2 - Prob. 42SGCh. 2 - Prob. 43SGCh. 2 - Prob. 44SGCh. 2 - Prob. 45SGCh. 2 - Prob. 46SGCh. 2 - Prob. 47SGCh. 2 - Prob. 48SGCh. 2 - Prob. 49SGCh. 2 - Prob. 1TFCh. 2 - Prob. 2TFCh. 2 - Prob. 3TFCh. 2 - Prob. 4TFCh. 2 - Prob. 5TFCh. 2 - Prob. 6TFCh. 2 - Prob. 7TFCh. 2 - Prob. 8TFCh. 2 - Prob. 9TFCh. 2 - Prob. 10TFCh. 2 - Prob. 11TFCh. 2 - Prob. 12TFCh. 2 - Prob. 1MCCh. 2 - Prob. 2MCCh. 2 - Prob. 3MCCh. 2 - Prob. 4MCCh. 2 - Prob. 5MCCh. 2 - Prob. 6MCCh. 2 - Prob. 7MCCh. 2 - Prob. 8MCCh. 2 - Prob. 1MCh. 2 - Prob. 2MCh. 2 - Prob. 3MCh. 2 - Prob. 4MCh. 2 - Prob. 5MCh. 2 - Prob. 6MCh. 2 - Prob. 7MCh. 2 - Prob. 8MCh. 2 - Prob. 9MCh. 2 - Prob. 10MCh. 2 - Prob. 2CTCh. 2 - Prob. 3CTCh. 2 - Prob. 4CTCh. 2 - Prob. 5CTCh. 2 - Prob. 6CTCh. 2 - Prob. 7CTCh. 2 - Prob. 8CTCh. 2 - Prob. 9CTCh. 2 - Prob. 10CTCh. 2 - Prob. 11CTCh. 2 - Prob. 12CTCh. 2 - Prob. 13CTCh. 2 - Prob. 14CTCh. 2 - Prob. 15CTCh. 2 - Prob. 16CTCh. 2 - Prob. 17CTCh. 2 - Prob. 18CTCh. 2 - Prob. 19CTCh. 2 - Prob. 20CTCh. 2 - Prob. 21CTCh. 2 - Prob. 22CTCh. 2 - Prob. 23CTCh. 2 - Prob. 24CTCh. 2 - Prob. 25CTCh. 2 - Prob. 26CTCh. 2 - Prob. 27CTCh. 2 - Prob. 1PSCh. 2 - Prob. 2PSCh. 2 - Prob. 3PSCh. 2 - Prob. 4PSCh. 2 - Prob. 5PSCh. 2 - Prob. 6PSCh. 2 - Prob. 7PSCh. 2 - Prob. 8PSCh. 2 - Prob. 9PSCh. 2 - Prob. 10PSCh. 2 - Prob. 11PSCh. 2 - Prob. 1.1ECh. 2 - Prob. 1.2ECh. 2 - Prob. 1.3ECh. 2 - Prob. 2.1ECh. 2 - Prob. 2.2ECh. 2 - Prob. 2.3ECh. 2 - Prob. 3.1ECh. 2 - Prob. 3.2ECh. 2 - Prob. 3.3ECh. 2 - Prob. 4.1ECh. 2 - Prob. 4.2ECh. 2 - Prob. 4.3ECh. 2 - Prob. 5.1ECh. 2 - Prob. 5.2ECh. 2 - Prob. 5.3ECh. 2 - Prob. 1IRCh. 2 - Prob. 2IRCh. 2 - Prob. 3IRCh. 2 - Prob. 4IRCh. 2 - Prob. 1CTQCh. 2 - Prob. 2CTQCh. 2 - Prob. 3CTQ
Knowledge Booster
Similar questions
- 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}.arrow_forward15. 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_forward
- You 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_forwardDetermine 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_forward
- Based 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(Short-answer) b. Continue from the previous question. Suppose part of the data you extracted from the data warehouse is the following. Identify the missing values you think exist in the dataset. Use Column letter and Row number to refer to each missing value in the dataset. Please write down how you want to address each particular missing value (you can group them if they receive same treatment). For imputation, you do not need to calculate the exact imputed values but just describe what kind of value you want to use to impute.arrow_forwardPlease original work Locate data warehousing solutions offered by IBM, Oracle, Microsoft, and Amazon Compare and contrast the capabilities of each solution and provide several names of some organizations that utilize each of these solutions. Please cite in text references and add weblinksarrow_forward
- Need Help: Which of the following statements about confusion matrix is wrong A) Confusion matrix is a performance measure for probability prediction techniques B) Confusion matrix is derived based on classification rules with cut-off value 0.5 C) Confusion matrix is derived based on training partition to measure a model’s predictive performance D) None of the abovearrow_forwardI have a few questions I need help with Statement: When we build a nearest neighbor model, we shall not remove the redundant dummies when coding a categorical variable. True or False Statement: One reason why a neural network model often requires a significant number of data observations to train is that it often has a significant number of model parameters to estimate even if there are only a few predictors. True or False. Which of the following statements about confusion matrix is wrong A) Confusion matrix is a performance measure for probability prediction techniques B) Confusion matrix is derived based on classification rules with cut-off value 0.5 C) Confusion matrix is derived based on training partition to measure a model’s predictive performance D) None of the abovearrow_forwardStudent ID is 24241357arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Enhanced Discovering Computers 2017 (Shelly Cashm...Computer ScienceISBN:9781305657458Author:Misty E. Vermaat, Susan L. Sebok, Steven M. Freund, Mark Frydenberg, Jennifer T. CampbellPublisher:Cengage Learning
Enhanced Discovering Computers 2017 (Shelly Cashm...
Computer Science
ISBN:9781305657458
Author:Misty E. Vermaat, Susan L. Sebok, Steven M. Freund, Mark Frydenberg, Jennifer T. Campbell
Publisher:Cengage Learning