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  2. List of unsolved problems in computer science - Wikipedia

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

    Does linear programming admit a strongly polynomial-time algorithm? (This is problem #9 in Smale's list of problems.) How many queries are required for envy-free cake-cutting? What is the algorithmic complexity of the minimum spanning tree problem? Equivalently, what is the decision tree complexity of the MST problem?

  3. Constraint satisfaction problem - Wikipedia

    en.wikipedia.org/.../Constraint_satisfaction_problem

    Constraint programming (CP) is the field of research that specifically focuses on tackling these kinds of problems. [ 1 ] [ 2 ] Additionally, the Boolean satisfiability problem (SAT), satisfiability modulo theories (SMT), mixed integer programming (MIP) and answer set programming (ASP) are all fields of research focusing on the resolution of ...

  4. Minimal reproducible example - Wikipedia

    en.wikipedia.org/wiki/Minimal_reproducible_example

    Furthermore it would probably expose the problem with as low as possible efforts and runtime, to allow testing a new software version as efficiently as possible for the problem. A minimal reproducible example may also be referred to as a reprex, a minimal working example (MWE), a minimal complete verifiable example (MCVE), or a short self ...

  5. NP-completeness - Wikipedia

    en.wikipedia.org/wiki/NP-completeness

    The Subgraph Isomorphism problem is NP-complete. The graph isomorphism problem is suspected to be neither in P nor NP-complete, though it is in NP. This is an example of a problem that is thought to be hard, but is not thought to be NP-complete. This class is called NP-Intermediate problems and exists if and only if P≠NP.

  6. Sharp-SAT - Wikipedia

    en.wikipedia.org/wiki/Sharp-SAT

    In other words, every instance of a problem in the complexity class #P can be reduced to an instance of the #SAT problem. This is an important result because many difficult counting problems arise in Enumerative Combinatorics , Statistical physics , Network Reliability, and Artificial intelligence without any known formula.

  7. HiGHS optimization solver - Wikipedia

    en.wikipedia.org/wiki/HiGHS_optimization_solver

    Written in C++ and published under an MIT license, HiGHS provides programming interfaces to C, Python, Julia, Rust, R, JavaScript, Fortran, and C#. It has no external dependencies. A convenient thin wrapper to Python is available via the highspy PyPI package. Although generally single-threaded, some solver components can utilize multi-core ...

  8. Burst error-correcting code - Wikipedia

    en.wikipedia.org/wiki/Burst_error-correcting_code

    Proof. We need to prove that if you add a burst of length to a codeword (i.e. to a polynomial that is divisible by ()), then the result is not going to be a codeword (i.e. the corresponding polynomial is not divisible by ()).

  9. Exception handling syntax - Wikipedia

    en.wikipedia.org/wiki/Exception_handling_syntax

    C does not provide direct support to exception handling: it is the programmer's responsibility to prevent errors in the first place and test return values from the functions.