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2. List of unsolved problems in computer science - Wikipedia

   en.wikipedia.org/wiki/List_of_unsolved_problems...

   The RTA list of open problems – open problems in rewriting. The TLCA List of Open Problems – open problems in area typed lambda calculus. Categories: Conjectures. Lists of unsolved problems. Unsolved problems in computer science.

3. Heuristic (computer science) - Wikipedia

   en.wikipedia.org/wiki/Heuristic_(computer_science)

   Heuristic (computer science) In mathematical optimization and computer science, heuristic (from Greek εὑρίσκω "I find, discover") is a technique designed for problem solving more quickly when classic methods are too slow for finding an exact or approximate solution, or when classic methods fail to find any exact solution in a search space.

4. Constraint programming - Wikipedia

   en.wikipedia.org/wiki/Constraint_programming

   Constraint programming. Constraint programming (CP)[1] is a paradigm for solving combinatorial problems that draws on a wide range of techniques from artificial intelligence, computer science, and operations research. In constraint programming, users declaratively state the constraints on the feasible solutions for a set of decision variables.

5. Travelling salesman problem - Wikipedia

   en.wikipedia.org/wiki/Travelling_salesman_problem

   Travelling Salesman, by director Timothy Lanzone, is the story of four mathematicians hired by the U.S. government to solve the most elusive problem in computer-science history: P vs. NP. [77] Solutions to the problem are used by mathematician Robert A. Bosch in a subgenre called TSP art.

6. SAT solver - Wikipedia

   en.wikipedia.org/wiki/SAT_solver

   In computer science and formal methods, a SAT solver is a computer program which aims to solve the Boolean satisfiability problem. On input a formula over Boolean variables, such as " (x or y) and (x or not y)", a SAT solver outputs whether the formula is satisfiable, meaning that there are possible values of x and y which make the formula true ...

7. P versus NP problem - Wikipedia

   en.wikipedia.org/wiki/P_versus_NP_problem

   The P versus NP problem is a major unsolved problem in theoretical computer science. Informally, it asks whether every problem whose solution can be quickly verified can also be quickly solved. Here, quickly means an algorithm that solves the task and runs in polynomial time exists, meaning the task completion time is bounded above by a ...

8. Solver - Wikipedia

   en.wikipedia.org/wiki/Solver

   A solver is a piece of mathematical software, possibly in the form of a stand-alone computer program or as a software library, that 'solves' a mathematical problem. A solver takes problem descriptions in some sort of generic form and calculates their solution. In a solver, the emphasis is on creating a program or library that can easily be ...

9. Brute-force search - Wikipedia

   en.wikipedia.org/wiki/Brute-force_search

   In computer science, brute-force search or exhaustive search, also known as generate and test, is a very general problem-solving technique and algorithmic paradigm that consists of systematically checking all possible candidates for whether or not each candidate satisfies the problem's statement. A brute-force algorithm that finds the divisors ...