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2. 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.

3. 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.

4. Satisfiability modulo theories - Wikipedia

   en.wikipedia.org/wiki/Satisfiability_modulo_theories

   Satisfiability modulo theories. In computer science and mathematical logic, satisfiability modulo theories (SMT) is the problem of determining whether a mathematical formula is satisfiable. It generalizes the Boolean satisfiability problem (SAT) to more complex formulas involving real numbers, integers, and/or various data structures such as ...

5. Boolean satisfiability problem - Wikipedia

   en.wikipedia.org/wiki/Boolean_satisfiability_problem

   The Boolean satisfiability problem (SAT) is, given a formula, to check whether it is satisfiable. This decision problem is of central importance in many areas of computer science, including theoretical computer science, complexity theory, [3][4] algorithmics, cryptography [5][6] and artificial intelligence. [7][additional citation (s) needed]

6. 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 ...

7. 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.

8. Dining philosophers problem - Wikipedia

   en.wikipedia.org/wiki/Dining_philosophers_problem

   In computer science, the dining philosophers problem is an example problem often used in concurrent algorithm design to illustrate synchronization issues and techniques for resolving them. It was originally formulated in 1965 by Edsger Dijkstra as a student exam exercise, presented in terms of computers competing for access to tape drive ...

9. Job-shop scheduling - Wikipedia

   en.wikipedia.org/wiki/Job-shop_scheduling

   Job-shop scheduling, the job-shop problem (JSP) or job-shop scheduling problem (JSSP) is an optimization problem in computer science and operations research. It is a variant of optimal job scheduling. In a general job scheduling problem, we are given n jobs J1, J2, ..., Jn of varying processing times, which need to be scheduled on m machines ...