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  2. How to Solve It - Wikipedia

    en.wikipedia.org/wiki/How_to_Solve_It

    How to Solve It suggests the following steps when solving a mathematical problem: . First, you have to understand the problem. [2]After understanding, make a plan. [3]Carry out the plan.

  3. Trial and error - Wikipedia

    en.wikipedia.org/wiki/Trial_and_error

    In the field of computer science, the method is called generate and test (brute force). In elementary algebra, when solving equations, it is called guess and check. [citation needed] This approach can be seen as one of the two basic approaches to problem-solving, contrasted with an approach using insight and theory.

  4. Candle problem - Wikipedia

    en.wikipedia.org/wiki/Candle_problem

    The candle problem or candle task, also known as Duncker's candle problem, is a cognitive performance test, measuring the influence of functional fixedness on a participant's problem solving capabilities. The test was created by Gestalt psychologist Karl Duncker [1] and published by him in 1935. [2]

  5. Endless Quest - Wikipedia

    en.wikipedia.org/wiki/Endless_Quest

    Originally, these books were the result of an Educational department established by TSR with the intention of developing curriculum programs for subjects such as reading, math, history, and problem solving. [1] The first series of 36 books was released from 1982 to 1987, the second series of 13 from 1994 to 1996. These were respectively the ...

  6. Millennium Prize Problems - Wikipedia

    en.wikipedia.org/wiki/Millennium_Prize_Problems

    The question is whether or not, for all problems for which an algorithm can verify a given solution quickly (that is, in polynomial time), an algorithm can also find that solution quickly. Since the former describes the class of problems termed NP, while the latter describes P, the question is equivalent to asking whether all problems in NP are ...

  7. Answer set programming - Wikipedia

    en.wikipedia.org/wiki/Answer_set_programming

    An early example of answer set programming was the planning method proposed in 1997 by Dimopoulos, Nebel and Köhler. [3] [4] Their approach is based on the relationship between plans and stable models. [5] In 1998 Soininen and Niemelä [6] applied what is now known as answer set programming to the problem of product configuration. [4]

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    mail.aol.com/?rp=webmail-std/en-us/basic

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  9. Functional fixedness - Wikipedia

    en.wikipedia.org/wiki/Functional_fixedness

    The problem format and the structural type of analog presentation showed the highest positive transference to problem solving. The researcher suggested that a well-thought and planned analogy relevant in format and type to the problem-solving task to be completed can be helpful for students to overcome functional fixedness.