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  2. Trial and error - Wikipedia

    en.wikipedia.org/wiki/Trial_and_error

    This approach can be seen as one of the two basic approaches to problem-solving, contrasted with an approach using insight and theory. However, there are intermediate methods that, for example, use theory to guide the method, an approach known as guided empiricism. [citation needed]

  3. Root cause analysis - Wikipedia

    en.wikipedia.org/wiki/Root_cause_analysis

    In science and engineering, root cause analysis (RCA) is a method of problem solving used for identifying the root causes of faults or problems. [1] It is widely used in IT operations, manufacturing, telecommunications, industrial process control, accident analysis (e.g., in aviation, [2] rail transport, or nuclear plants), medical diagnosis, the healthcare industry (e.g., for epidemiology ...

  4. Eight disciplines problem solving - Wikipedia

    en.wikipedia.org/wiki/Eight_Disciplines_Problem...

    D0: Preparation and Emergency Response Actions: Plan for solving the problem and determine the prerequisites. Provide emergency response actions. D1: Use a Team: Establish a team of people with product/process knowledge. Teammates provide new perspectives and different ideas when it comes to problem solving.

  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. List of NP-complete problems - Wikipedia

    en.wikipedia.org/wiki/List_of_NP-complete_problems

    The problem for graphs is NP-complete if the edge lengths are assumed integers. The problem for points on the plane is NP-complete with the discretized Euclidean metric and rectilinear metric. The problem is known to be NP-hard with the (non-discretized) Euclidean metric. [3]: ND22, ND23

  7. Problem solving - Wikipedia

    en.wikipedia.org/wiki/Problem_solving

    The former is an example of simple problem solving (SPS) addressing one issue, whereas the latter is complex problem solving (CPS) with multiple interrelated obstacles. [1] Another classification of problem-solving tasks is into well-defined problems with specific obstacles and goals, and ill-defined problems in which the current situation is ...

  8. Subgoal labeling - Wikipedia

    en.wikipedia.org/wiki/Subgoal_labeling

    Generally problem solving adopts a very procedural approach. Problem solving in the areas of science, technology, engineering and mathematics has been highly procedural. The best approach so far is to teach these procedures through instructional text accompanied by specific worked examples.

  9. Analytical skill - Wikipedia

    en.wikipedia.org/wiki/Analytical_skill

    Creativity is important when it comes to solving different problems when presented. [45] Creative thinking works best for problems that can have multiple solutions to solve the problem. It is also used when there seems to be no correct answer that applies to every situation, and is instead based from situation to situation.

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