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Dr Panos Parpas, a lecturer in the quantitative analysis and decision science ("quads") section of the department of computing at Imperial College London, says that wherever we use computers, we rely on algorithms: "There are lots of types, but algorithms, explained simply, follow a series of instructions to solve a problem.
An algorithm is a plan, a set of step-by-step instructions to solve a problem.
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Within a few hours, they responded with instructions to solve my problem along with an offer to replace the band if the instructions proved unsuccessful.
What if you could just open an app on your phone, point your camera at your textbook, snap a picture and get the detailed instructions to solve your equation.
Formulae and instructions to solve complicated problems can be developed and are critical to success.
Identify specific problems the user will face, state them in the user guide, and then follow with instructions to solve them.
I simply supply the instructions on how to solve an issue.
"To me, the basic idea of computing is you have to get a computer to solve a problem: you have to come up with an algorithm, a set of instructions.
To solve a problem, an algorithm is constructed and implemented as a serial stream of instructions.
To solve a problem.
Before trying to solve a problem, brainstorm.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com