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2. Problem solving - Wikipedia

   en.wikipedia.org/wiki/Problem_solving

   Problem solving is the process of achieving a goal by overcoming obstacles, a frequent part of most activities. Problems in need of solutions range from simple personal tasks (e.g. how to turn on an appliance) to complex issues in business and technical fields. The former is an example of simple problem solving (SPS) addressing one issue ...

3. Computational thinking - Wikipedia

   en.wikipedia.org/wiki/Computational_thinking

   Computational thinking. Computational thinking ( CT) refers to the thought processes involved in formulating problems so their solutions can be represented as computational steps and algorithms. [1] In education, CT is a set of problem-solving methods that involve expressing problems and their solutions in ways that a computer could also ...

4. Heuristic (computer science) - Wikipedia

   en.wikipedia.org/wiki/Heuristic_(computer_science)

   Heuristic (computer science) In mathematical optimization and computer science, heuristic (from Greek εὑρίσκω "I find, discover") is a technique designed for problem solving more quickly when classic methods are too slow for finding an exact or approximate solution, or when classic methods fail to find any exact solution in a search space.

5. Recursion (computer science) - Wikipedia

   en.wikipedia.org/wiki/Recursion_(computer_science)

   In computer science, recursion is a method of solving a computational problem where the solution depends on solutions to smaller instances of the same problem. [1] [2] Recursion solves such recursive problems by using functions that call themselves from within their own code. The approach can be applied to many types of problems, and recursion ...

6. Divide-and-conquer algorithm - Wikipedia

   en.wikipedia.org/wiki/Divide-and-conquer_algorithm

   In computer science, divide and conquer is an algorithm design paradigm. A divide-and-conquer algorithm recursively breaks down a problem into two or more sub-problems of the same or related type, until these become simple enough to be solved directly. The solutions to the sub-problems are then combined to give a solution to the original ...

7. Numerical analysis - Wikipedia

   en.wikipedia.org/wiki/Numerical_analysis

   Numerical analysis is the study of algorithms that use numerical approximation (as opposed to symbolic manipulations) for the problems of mathematical analysis (as distinguished from discrete mathematics ). It is the study of numerical methods that attempt to find approximate solutions of problems rather than the exact ones.