Complexity theory unsolvable

  • Is P vs NP solvable?

    The P versus NP problem is a major unsolved problem in theoretical computer science.
    In informal terms, it asks whether every problem whose solution can be quickly verified can also be quickly solved..

  • What are the problems in theory of computation?

    Types of problems
    A search problem asks for arbitrary string(s) as output.
    A counting problem asks for the number of solutions to a search problem.
    An optimization problem asks for for the best possible solution to a search problem.
    A function problem asks for a unique output for every input..

  • What is an unsolvable algorithm?

    An unsolvable problem is one for which no algorithm can ever be written to find the solution.
    An undecidable problem is one for which no algorithm can ever be written that will always give a correct true/false decision for every input value..

  • What problems Cannot be solved by an algorithm?

    Undecidable Problems.
    These problems are the theoretically impossible to solve — by any algorithm.
    The halting problem is a decision problem (with a yes or no answer) that is undecidable..

  • Which case does not exist in complexity theory?

    Explanation: Null case does not exist in complexity Theory..

  • If the solution to a problem is easy to check for correctness, must the problem be easy to solve? The P versus NP problem is a major unsolved problem in theoretical computer science.
    In informal terms, it asks whether every problem whose solution can be quickly verified can also be quickly solved.
  • Not every well-defined problem can be solved by an algorithm and thus by a program.
    Problems that have no algorithm are called unsolvable.
    Fortunately, most problems we encounter in applications and need to write a program for can be solved by an algorithm.
  • The complexity of a problem is the complexity of the best algorithms that allow solving the problem.
    The study of the complexity of explicitly given algorithms is called analysis of algorithms, while the study of the complexity of problems is called computational complexity theory.
  • Types of problems
    A search problem asks for arbitrary string(s) as output.
    A counting problem asks for the number of solutions to a search problem.
    An optimization problem asks for for the best possible solution to a search problem.
    A function problem asks for a unique output for every input.
Dec 17, 2022Complexity theory is a broad and active field of research that deals with the study of computational problems and the algorithms used to solve them.In computational complexity, how do you prove that most problems What are the major open problems in computational complexity Why are there so many fundamental open problems in - QuoraHow likely is it that the P NP problem is unsolvable (independent of More results from www.quora.com
Dec 17, 2022Complexity theory is a broad and active field of research that deals with the study of computational problems and the algorithms used to solve them.What are the major open problems in computational complexity Why are there so many fundamental open problems in - QuoraIn computational complexity, how do you prove that most problems What unsolved problems in theoretical computer science other than More results from www.quora.com
May 21, 2017Complexity theory is one of the important subfields of computer science that deals with categorizing problems based on the time they need to be solved. One  What are the most important unresolved problems in complexity What are the major open problems in computational complexity In computational complexity, how do you prove that most problems How likely is it that the P NP problem is unsolvable (independent of More results from www.quora.com
List of unsolved problems in computer science1 Computational complexity2 Polynomial versus nondeterministic-polynomial time for specific algorithmic 
Unsolvable Problem - On the other hand, a problem is said to be unsolvable if there does not exist any algorithm that can solve it in a finite amount of time. One well-known example of an unsolvable problem is the Halting problem, which asks whether a given program will eventually halt or run forever.

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