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  2. Fountas and Pinnell reading levels - Wikipedia

    en.wikipedia.org/wiki/Fountas_and_Pinnell...

    Small books containing a combination of text and illustrations are then provided to educators for each level. [3] While young children display a wide distribution of reading skills, each level is tentatively associated with a school grade. Some schools adopt target reading levels for their pupils.

  3. P versus NP problem - Wikipedia

    en.wikipedia.org/wiki/P_versus_NP_problem

    For these problems, it is very easy to tell whether solutions exist, but thought to be very hard to tell how many. Many of these problems are #P-complete, and hence among the hardest problems in #P, since a polynomial time solution to any of them would allow a polynomial time solution to all other #P problems.

  4. Wide Range Achievement Test - Wikipedia

    en.wikipedia.org/wiki/Wide_Range_Achievement_Test

    The Wide Range Achievement Test, currently in its fifth edition (WRAT5), is an achievement test which measures an individual's ability to read words, comprehend sentences, spell, and compute solutions to math problems. [1] The test is appropriate for individuals aged 5 years through adult.

  5. NP-hardness - Wikipedia

    en.wikipedia.org/wiki/NP-hardness

    That is, assuming a solution for H takes 1 unit time, H ' s solution can be used to solve L in polynomial time. [ 1 ] [ 2 ] As a consequence, finding a polynomial time algorithm to solve a single NP-hard problem would give polynomial time algorithms for all the problems in the complexity class NP .

  6. Polynomial interpolation - Wikipedia

    en.wikipedia.org/wiki/Polynomial_interpolation

    Hermite interpolation problems are those where not only the values of the polynomial p at the nodes are given, but also all derivatives up to a given order. This turns out to be equivalent to a system of simultaneous polynomial congruences, and may be solved by means of the Chinese remainder theorem for polynomials.

  7. NP-completeness - Wikipedia

    en.wikipedia.org/wiki/NP-completeness

    The NP-complete problems represent the hardest problems in NP. If some NP-complete problem has a polynomial time algorithm, all problems in NP do. The set of NP-complete problems is often denoted by NP-C or NPC. Although a solution to an NP-complete problem can be verified "quickly", there is no known way to find a solution quickly.