can tsp be verified in polynomial time?
447173
The only known way to verify that a provided solution is the shortest possible solution is to actually solve TSP. Since it takes exponential time to solve NP, the solution cannot be checked in polynomial time.
1355045
A depth-first iterative-deepening algorithm is shown to be asymptotically optimal along all three dimensions for exponential tree searches. The algorithm has been used successfully in chess programs, has been effectively combined with bi-directional search, and has been applied to best-first heuristic search as well.
224441
Your proposed "straightforward definition" of co-NP is wrong. For any problem A, we could pick V to be the procedure that ignores its arguments and immediately returns 1. Thus, by your definition, no problems would be in co-NP.
1293577
The P versus NP problem is a major unsolved problem in computer science. It asks whether every problem whose solution can be quickly verified can also be solved quickly.
1109933
Why is TSP not NP-complete? ... Since it takes exponential time to solve NP, the solution cannot be checked in polynomial time. Thus this problem is NP-hard, but not in NP. In general, for a problem to be NP-complete it has to be a “decision problem”, meaning that the problem is to decide if something is true or not.
929921
You may be tempted to think that given two sides and a non-included angle is enough to prove congruence. But there are two triangles possible that have the same values, so SSA is not sufficient to prove congruence.
923415
NP is set of decision problems that can be solved by a Non-deterministic Turing Machine in Polynomial time. ... Therefore, NP-Complete set is also a subset of NP-Hard set.
244947
['Step 1: Formulate the LP (Linear programming) problem. ... ', 'Step 2: Construct a graph and plot the constraint lines. ... ', 'Step 3: Determine the valid side of each constraint line. ... ', 'Step 4: Identify the feasible solution region. ... ', 'Step 5: Plot the objective function on the graph. ... ', 'Step 6: Find the optimum point.']
866800
NP is the set of all problems that can be solved in polynomial time on a nondeterministic Turing machine (NDTM). Because deterministic TMs are a subset of NDTMs, P is a subset of NP. ... NP-complete is the class of problems which are both NP-hard and themselves members of NP.
641198
P = the set of problems that are solvable in polynomial time by a Deterministic Turing Machine. NP = the set of decision problems (answer is either yes or no) that are solvable in nondeterministic polynomial time i.e can be solved in polynomial time by a Nondeterministic Turing Machine[4].
227219
['multiply each term in one polynomial by each term in the other polynomial.', 'add those answers together, and simplify if needed.']
137440
be the feasible set for (1). The problem is handled via the Lagrange multipliers method. The key difference will be now that due to the fact that the constraints are formulated as inequalities, Lagrange multipliers will be non-negative.
515109
['Max Flow Problem.', 'Segment Trees.', 'Bit-masking DP.', 'Pattern matching and Pattern searching - Z algorithm, Rabin-Karp algorithm, KMP algorithm.', 'DFS and BFS.', 'Dijkstra, Kruskal.', 'Coin Sum.', 'Subset Sum.']
1075391
['Arithmetic.', 'String.', 'Relational.', 'Pattern matching.', 'IF operator.', 'Logical.', 'Assignment.', 'Dynamic array.']
1415168
tspan — Interval of integration Interval of integration, specified as a vector. At minimum, tspan must be a two element vector [t0 tf] specifying the initial and final times. To obtain solutions at specific times between t0 and tf , use a longer vector of the form [t0,t1,t2,...,tf] .
556686
The P versus NP problem is a major unsolved problem in computer science. It asks whether every problem whose solution can be quickly verified can also be solved quickly. ... The class of questions for which an answer can be verified in polynomial time is called NP, which stands for "nondeterministic polynomial time".
1064275
['B+C=A.', 'M⋅GCD(B,C) + N⋅GCD(B,C) = A.', '(M + N)⋅GCD(B,C) = A.']