Computational Complexity Question
Show that the 3-SAT-3 problem is NP-complete by reducing SAT to 3-SAT-3.
Definition and understandability basic: fact that of every problem in NP can be polynomial-time reducible to a problem 'A' ->(NP-Hard)
P=NP ->cheked quickly can be solved quickly. in polynomial time. Thee are a lot of NP-Complete problems that can't be solved quickly.
EG: shortest path and longest path between two points in a graph. So the shortest path problems given points as source and destination required to find the path in polynomial time. there is an algorithm Dijkstra's algorithm helping to find shortest path. the longest path between points.
shortest path-NP Complete - O(V^)
NP-Hard -longest path
EG: Satisfiability problem - If a boolean formula is given in the conjunctive normal form, assignment to a variable in formula leads to true. its satisfiable problem.
CNF->(a v b v c v ~d) ^ (a v b) ^ (a v c v ~b) //these are clauses., and variables literals, clauses are conjunction.
Among these clauses all literals are disjunction or the boolean are of expression. Literals are in normal form or. A Boolean formula in conjunctive normal form as shown above
3Sat:- The cnf formulas are restricted to 3 literals per clause
(a v b v ~c) ^ (a v b v c) ^ (~a v ~b v ~c)
Any cnf can have exactly 3 literals, just 3 cnf if existes any assignment to varabe to true
2sat restricted to 2 cnf formula. for every clause there will be exact 2 literals for 2 cnf and if assignment exists it to true then its a 2 saat problem.
Here you can see 2 sat and 3 sat are quite similar as the only difference is number of literals per clause. The final procedure quite similar in both of problem still 2 sat problem is polynimia time solvable and P Clause, 3 sat is np complete.
3 SAT NP Hard

Computational Complexity Question Show that the 3-SAT-3 problem is NP-complete by reducing SAT to 3-SAT-3.
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.
Show that the following problem is NP-Complete (Hint: reduce from 3-SAT or Vertex Cover). Given an undirected graph G with positive integer distances on the edges, and two integers f and d, is there a way to select f vertices on G on which to locate firehouses, so that no vertex of G is at distance more than d from a firehouse?
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Theory of Computation. Kindly help if you can.
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Note:...
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