In computing, an algorithm is a precise list of operations that could be done by a Turing machine.
For the purpose of computing, algorithms are written in pseudocode, flow charts, or programming languages. There is usually more than one way to solve a problem.
I occasionally overlook how important it is to define and bound a problem and think about it in abstract terms before attempting to construct a solution.
In fact, I try to instil this problem-solving ability in my students when I teach introductory programming, as they all rush head-first into writing code before actually thinking about the problem they are trying to solve.
It takes inputs (ingredients) and produces an output (the completed dish).
The words 'algorithm' and 'algorism' come from the name of a Persian mathematician called Al-Khwārizmī (Persian: خوارزمی, 780–850).
“He (Richard Feynman) was always searching for patterns, for connections, for a new way of looking at something, but I suspect his motivation was not so much to understand the world as it was to find new ideas to explain.
Algorithms and algorithmic problem solving occupy a central place in computer science and engineering.
Algorithmic problem solving can be approached starting with an informal notion of an algorithm.
Students do not need any experience with computer programming to develop their algorithmic thinking skills.