All decision problems (i.e.language membership problems), which are verifiable in polynomial time by a deterministic Turing...
All decision problems (i.e.language membership problems), which are verifiable in polynomial time by a deterministic Turing machine are called NP problems. Further, these problems can be solved by a non-deterministic Turing machine in a polynomial time and in exponential time by a deterministic Turing machine.
Do we have a decision problem that is not verifiable by a deterministic Turing machine in polynomial time but decidable?
Homework Answers
Request Answer!
We need at least 10 more requests to produce the answer.
0 / 10 have requested this problem solution
The more requests, the faster the answer.
Add Answer to:
All decision problems (i.e.language membership problems), which
are verifiable in polynomial time by a deterministic Turing...
EXP is the class of languages decidable in exponential time (i.e. in 2" steps for some...
EXP is the class of languages decidable in exponential time (i.e. in 2" steps for some k) Much like the relationship between P and time can be decided in exponential time (i.e., NP EXP), but it is an open question if all problems decidable in exponential time are verifiable in polynomial time (i.e., EXP NP), though this is not expected to be true. Formally, the EXP class can be defined similarly to how we define P: NP, all languages that...
Why P = NP is considered an open problem? P- Polynomial time solving NP- Non deterministic...
Why P = NP is considered an open problem? P- Polynomial time solving NP- Non deterministic Polynomial time solving
ANAL UP ALUUm FINAL PART1 ouesnoN13 which ot the following is QUESTION14. Which of the following...
ANAL UP ALUUm FINAL PART1 ouesnoN13 which ot the following is QUESTION14. Which of the following is not in P? E. Max Cut D. Minimum Spanning Tree C. Min Cut B. 2-SAT Linear Programming QUESTION15. How many NP problems did Karp include in his tree hierarchy? E. 31 D. 22 A. 1 QUESTION16. Which of the following is not one of Karp's original NP problems? C. Feedback Arc Set D. Feedback N Set E. Partition B. Node Cover Arc Cover...
Question 1 The following statements illustrate which concept below? var1 = 1 while var1 != 0: var1 = var1+ 1 A. A P complex problem. B. A deterministic problem. C. An NP problem. D. The halting probl...
Question 1 The following statements illustrate which concept below? var1 = 1 while var1 != 0: var1 = var1+ 1 A. A P complex problem. B. A deterministic problem. C. An NP problem. D. The halting problem. Question 2 If a function is computable, A. both a Turing machine and a Bare Bones Language program can solve it . B. a Turing machine can solve it, but a Bare Bones Language program cannot . C. a Turing machine cannot solve...
1) What is your INFORMED opinion on the NP problems? Does a deterministic polynomial time algorit...
1) What is your INFORMED opinion on the NP problems? Does a deterministic polynomial time algorithm exist or not? Your answer should be a well-thought out and informed argument consisting of several paragraphs at least. No credit for poor grammar and simplistic answers. Your argument should be convincing and strong. EXPLAIN IN DETAIL
5. Chapter 22. Give the BFS(G.s) algorithm 6. Computing Complexities Chapter. What is the Hamiltonian Cycle...
5. Chapter 22. Give the BFS(G.s) algorithm 6. Computing Complexities Chapter. What is the Hamiltonian Cycle Problem? Hamiltonian cycle problem 7. Computing Complexities Chapter. Define an NP-Complete problem. Do not give an example. Rather tell what it is. Be formal about the definition NP-Complete problems are in NP, the set of all decision probleus whose solutions can be verified in polynomial time 8. Computing Complexities Chapter. What is PSPACE? Set of all decision problems that can be by a turing...
algorithm TRUE OR FALSE TRUE OR FALSE Optimal substructure applies to alloptimization problems. ...
algorithm TRUE OR FALSE TRUE OR FALSE Optimal substructure applies to alloptimization problems. TRUE OR FALSE For the same problem, there might be different greedy algorithms each optimizes a different measure on its way to a solutions. TRUE OR FALSE Computing the nth Fibonacci number using dynamic programming with bottom-upiterations takes O(n) while it takes O(n2) to compute it using the top-down approach. TRUE OR FALSE Every computational problem on input size n can be...
Consider the following decision problems. Indicate which of these problems are undecidable and which are decidable. For decidable problems, sketch an algorithm to decide/solve the problem; for undecid...
Consider the following decision problems. Indicate which of these problems are undecidable and which are decidable. For decidable problems, sketch an algorithm to decide/solve the problem; for undecidable problems, justify why they are undecidable. To decide whether a PDA accepts the empty string. To decide whether the languages accepted by two context-free grammars have strings in common.
Question 4 (4 marks). a. Consider the decision problems PROBLEMA and PROBLEMB. PROBLEMA is known to...
Question 4 (4 marks). a. Consider the decision problems PROBLEMA and PROBLEMB. PROBLEMA is known to be NP- Complete Your friend has found a polynomial time reduction from PROBLEMB to PROBLEMA. Another friend of yours has found an algorithm to solve any instance of PROBLEMB in polynomial time Have your friends proved that P=NP? Explain your answer. [2 marks b. Consider the following algorithm, which computes the value of the nth triangle number. function TRIANGLENUMBER(n) result 0 for i in...
3. (3 pts) Two well-known NP-complete problems are 3-SAT and TSP, the traveling salesman problem. The...
3. (3 pts) Two well-known NP-complete problems are 3-SAT and TSP, the traveling salesman problem. The 2-SAT problem is a SAT variant in which each clause contains at most two literals. 2-SAT is known to have a polynomial-time algorithm. Is each of the following statements true or false? Justify your answer. a. 3-SAT sp TSP. b. If P NP, then 3-SAT Sp 2-SAT. C. If P NP, then no NP-complete problem can be solved in polynomial time.
EXP is the class of languages decidable in exponential time (i.e. in 2" steps for some k) Much like the relationship between P and time can be decided in exponential time (i.e., NP EXP), but it is an open question if all problems decidable in exponential time are verifiable in polynomial time (i.e., EXP NP), though this is not expected to be true. Formally, the EXP class can be defined similarly to how we define P: NP, all languages that...
ANAL UP ALUUm FINAL PART1 ouesnoN13 which ot the following is QUESTION14. Which of the following is not in P? E. Max Cut D. Minimum Spanning Tree C. Min Cut B. 2-SAT Linear Programming QUESTION15. How many NP problems did Karp include in his tree hierarchy? E. 31 D. 22 A. 1 QUESTION16. Which of the following is not one of Karp's original NP problems? C. Feedback Arc Set D. Feedback N Set E. Partition B. Node Cover Arc Cover...
5. Chapter 22. Give the BFS(G.s) algorithm 6. Computing Complexities Chapter. What is the Hamiltonian Cycle Problem? Hamiltonian cycle problem 7. Computing Complexities Chapter. Define an NP-Complete problem. Do not give an example. Rather tell what it is. Be formal about the definition NP-Complete problems are in NP, the set of all decision probleus whose solutions can be verified in polynomial time 8. Computing Complexities Chapter. What is PSPACE? Set of all decision problems that can be by a turing...
Question 4 (4 marks). a. Consider the decision problems PROBLEMA and PROBLEMB. PROBLEMA is known to be NP- Complete Your friend has found a polynomial time reduction from PROBLEMB to PROBLEMA. Another friend of yours has found an algorithm to solve any instance of PROBLEMB in polynomial time Have your friends proved that P=NP? Explain your answer. [2 marks b. Consider the following algorithm, which computes the value of the nth triangle number. function TRIANGLENUMBER(n) result 0 for i in...
3. (3 pts) Two well-known NP-complete problems are 3-SAT and TSP, the traveling salesman problem. The 2-SAT problem is a SAT variant in which each clause contains at most two literals. 2-SAT is known to have a polynomial-time algorithm. Is each of the following statements true or false? Justify your answer. a. 3-SAT sp TSP. b. If P NP, then 3-SAT Sp 2-SAT. C. If P NP, then no NP-complete problem can be solved in polynomial time.
Most questions answered within 3 hours.
-
In 2005, Derrek Lee led the National Baseball League with a
0.335 batting average, meaning that...
asked 9 minutes ago -
Write a recursive function moreFactors(a,b,fact) that does the
following:
1. Takes as an input 3 positive...
asked 9 minutes ago -
In order for corporations to behave ethically, they must,
ultimately, give up the profit motive.
...
asked 9 minutes ago -
Blue Spruce Corp. owns equipment that cost $63,400 when
purchased on January 1, 2017. It has...
asked 30 minutes ago -
A lottery exists where balls numbered 1 to 17 are placed in an
urn. To win,...
asked 1 hour ago -
Please explain steps:
An 80 kg swimmer steps off a platform 10 m above the water...
asked 1 hour ago -
26) Briefly describe, using words or simple diagrams, the
chemiosmotic theory for coupling oxidation to phosphorylation...
asked 3 hours ago -
Suppose that XX is a random variable with mean 16 and standard
deviation 5 . Also...
asked 4 hours ago -
Calculate the number density of argon gas at a temperature of
24C and a pressure of...
asked 7 hours ago -
Alternative
Classification
How to Estimate
Probabilities from Data? ( For continuous Attributes)
And How to generate...
asked 7 hours ago -
An explosion breaks a 20.0-kg object into three parts. The
object is initially moving at a...
asked 8 hours ago -
Calculate the approximate number of residues of Rubisco, which
is involved in carbon fixation in plants,...
asked 9 hours ago