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  2. List of NP-complete problems - Wikipedia

    en.wikipedia.org/wiki/List_of_NP-complete_problems

    Graph homomorphism problem [3]: GT52 Graph partition into subgraphs of specific types (triangles, isomorphic subgraphs, Hamiltonian subgraphs, forests, perfect matchings) are known NP-complete. Partition into cliques is the same problem as coloring the complement of the given graph. A related problem is to find a partition that is optimal terms ...

  3. AP Microeconomics - Wikipedia

    en.wikipedia.org/wiki/AP_Microeconomics

    Advanced Placement (AP) Microeconomics (also known as AP Micro) is a course offered by the College Board as part of the Advanced Placement Program for high school students interested in college-level coursework in microeconomics and/or gaining advanced standing in college.

  4. Microeconomics - Wikipedia

    en.wikipedia.org/wiki/Microeconomics

    The utility maximization problem attempts to explain the action axiom by imposing rationality axioms on consumer preferences and then mathematically modeling and analyzing the consequences. [9] The utility maximization problem serves not only as the mathematical foundation of consumer theory but as a metaphysical explanation of it as well.

  5. AP Economics - Wikipedia

    en.wikipedia.org/wiki/AP_Economics

    Advanced Placement (AP) Economics (also known as AP Econ) refers to two College Board Advanced Placement Program courses and exams addressing various aspects of the field of economics: AP Macroeconomics

  6. Maximum cut - Wikipedia

    en.wikipedia.org/wiki/Maximum_cut

    In a graph, a maximum cut is a cut whose size is at least the size of any other cut. That is, it is a partition of the graph's vertices into two complementary sets S and T, such that the number of edges between S and T is as large as possible. Finding such a cut is known as the max-cut problem. The problem can be stated simply as follows.

  7. List of PSPACE-complete problems - Wikipedia

    en.wikipedia.org/wiki/List_of_PSPACE-complete...

    succinct versions of many graph problems, with graphs represented as Boolean circuits, [43] ordered binary decision diagrams [44] or other related representations: s-t reachability problem for succinct graphs. This is essentially the same as the simplest plan existence problem in automated planning and scheduling. planarity of succinct graphs