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  2. Art gallery problem - Wikipedia

    en.wikipedia.org/wiki/Art_gallery_problem

    In decision problem versions of the art gallery problem, one is given as input both a polygon and a number k, and must determine whether the polygon can be guarded with k or fewer guards. This problem is -complete, as is the version where the guards are restricted to the edges of the polygon. [10]

  3. HiGHS optimization solver - Wikipedia

    en.wikipedia.org/wiki/HiGHS_optimization_solver

    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 architectures. HiGHS is designed to solve large-scale models and exploits problem sparsity.

  4. Quadratic assignment problem - Wikipedia

    en.wikipedia.org/wiki/Quadratic_assignment_problem

    The quadratic assignment problem (QAP) is one of the fundamental combinatorial optimization problems in the branch of optimization or operations research in mathematics, from the category of the facilities location problems first introduced by Koopmans and Beckmann. [1] The problem models the following real-life problem:

  5. Level Up Your Life: 22 Online Courses Worth Gifting To ... - AOL

    www.aol.com/treat-brain-22-online-courses...

    The course enables participants to build 5 AI models designed to solve real-world problems. Students will gain practical experience and theoretical knowledge while also enjoying in-course support ...

  6. Computational problem - Wikipedia

    en.wikipedia.org/wiki/Computational_problem

    A decision problem is a computational problem where the answer for every instance is either yes or no. An example of a decision problem is primality testing: "Given a positive integer n, determine if n is prime." A decision problem is typically represented as the set of all instances for which the answer is yes. For example, primality testing ...

  7. Constraint satisfaction problem - Wikipedia

    en.wikipedia.org/.../Constraint_satisfaction_problem

    The classic model of Constraint Satisfaction Problem defines a model of static, inflexible constraints. This rigid model is a shortcoming that makes it difficult to represent problems easily. [33] Several modifications of the basic CSP definition have been proposed to adapt the model to a wide variety of problems.

  8. Linear complementarity problem - Wikipedia

    en.wikipedia.org/wiki/Linear_complementarity_problem

    The minimum of f is 0 at z if and only if z solves the linear complementarity problem. If M is positive definite, any algorithm for solving (strictly) convex QPs can solve the LCP. Specially designed basis-exchange pivoting algorithms, such as Lemke's algorithm and a variant of the simplex algorithm of Dantzig have been used for decades ...

  9. Is Enron back? If it's a joke, some former employees aren't ...

    www.aol.com/enron-back-joke-former-employees...

    But Sherron Watkins, Enron’s former vice president of corporate development and the main whistleblower who helped uncover the scandal, said she didn’t have a problem with the joke because ...