All NP complete problems are NP hard problems when solved in a different way.
But, all NP hard problems are not NP complete.
Ex:
1. Traveling salesman problem. It is both NP hard and NP complete. We can find that whether the solution is correct or not in the given period of time. In this way, it is NP complete.
But, to find the shortest path, i.e. optimization of Traveling Salesman problem is NP hard. If there will be changing costs, then every time when the salesperson returns to the source node, then he will be having different shortest path. In this way, it is hard to solve. It cannot be solved in the polynomial time. In this way, it is NP hard problem.
2. Halting problem.
3. Sum of subset problem.
Yes
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$1749 RP-DA = NP where RP is regular price minus discount amount (DA) is equal to New price (NP) Change the formula to solve for RP you get NP + DA = RP 1,499 + 250 = RP 1,749 = RP The Regular price was one thousand seven hundred and forty nine
mean = np = 20*0.5 = 10 Variance = npq = 20*0.5*0.5 = 5 Std dev = sqrt(npq) = sqrt(20*0.5*0.5) = 2.23
The Poisson distribution with parameter np will be a good approximation for the binomial distribution with parameters n and p when n is large and p is small. For more details See related link below
A problem is 'in NP' if there exists a polynomial time complexity algorithm which runs on a Non-Deterministic Turing Machine that solves it. A problem is 'NP Hard' if all problems in NP can be reduced to it in polynomial time, or equivalently if there is a polynomial-time reduction of any other NP Hard problem to it. A problem is NP Complete if it is both in NP and NP hard.
- a problem in NP means that it can be solved in polynomial time with a non-deterministic turing machine - a problem that is NP-hard means that all problems in NP are "easier" than this problem - a problem that is NP-complete means that it is in NP and it is NP-hard example - Hamiltonian path in a graph: The problem is: given a graph as input, an algorithm must say whether there is a hamiltonian path in it or not. in NP: here is an algorithm that works in polynomial time on a non-deterministic turing machine: guess a path in the graph. Check that it is really a hamiltonian path. NP-hard: we use reduction from a problem that is NP-comlete (SAT for example). Given an input for the other problem we construct a graph for the hamiltonian-path problem. The graph should have a path iff the original problem should return "true". Therefore, if there is an algorithm that executes in polynomial time, we solve all the problems in NP in polynomial time.j
No. Verifying if I'm lying is NP-Complete.
All recursive Languages are recursively enumerable. But not all the recursively enumerable languages are recursive. It is just like NP complete.
P is the class of problems for which there is a deterministic polynomial time algorithm which computes a solution to the problem. NP is the class of problems where there is a nondeterministic algorithm which computes a solution to the problem, but no known deterministic polynomial time solution
House codes:/np @931629/np @709003Bootcamp like codes:/np @172976/np @608368/np @191205/np @842019/np @159932/np @593204/np @145219/np @1450120/np @449496/np @618999/np @801683/np @1014313/np @1444036/np @633644/np @808800/np @1444041Thats all I got sorry if some don't work I didn't check them allIf you want to find me on TFM my user is Butterbe
House codes: /np @931629 /np @709003 Bootcamp like codes: /np @172976 /np @608368 /np @191205 /np @842019 /np @159932 /np @593204 /np @145219 /np @1450120 /np @449496 /np @618999 /np @801683 /np @1014313 /np @1444036 /np @633644 /np @808800 /np @1444041 That's all I know, but I hope it'll be to help ^^
NP training generally requires six years of school. This includes four years of undergraduate work and then 2 years of masters.
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If you mean the interior plains of the USA, these would include Badlands NP and Theodore Roosevelt NP. If you include the interior plains of Canada, then add Elk Island NP, Grasslands NP, Riding Mountain NP; and perhaps Prince Albert NP and Wood Buffalo NP.
np simply means no problem
If you mean the interior plains of the USA, these would include Badlands NP and Theodore Roosevelt NP. If you include the interior plains of Canada, then add Elk Island NP, Grasslands NP, Riding Mountain NP; and perhaps Prince Albert NP and Wood Buffalo NP.