The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to ...

You won’t acquire problem solving skills over night. But if you apply these steps, ask the right questions, and do this often, you’re on the right path to taking your career from good to great.

More information: Xiaomeng Sui et al, Non-convex optimization for inverse problem solving in computer-generated holography, Light: Science & Applications (2024). DOI: 10.1038/s41377-024-01446-w ...

Abstractions blog algorithms computer science explainers graph theory mathematics prime numbers randomness All topics. Since the very first days of computer science — a field known for its methodical ...

Under the hood, mathematical problems called partial differential equations (PDEs) model these natural processes. Among the many PDEs used in physics and computer graphics, a class called second ...

“Once we found really good ways of solving the flight gate assignment problem, we transferred the algorithms and improvements to these problems we are looking at for particle tracking, both at ...

Part of the problem is that quantum algorithms generally require hundreds or thousands of qubits, even for simple problems. So mathematicians and computer scientists are desperately searching for more ...

Expand your knowledge of the full lifecycle of software development – from design and testing to deployment and maintenance – with a hands-on, 30-credit online Master of Science (MS) in Computer ...

An algorithm is a set of instructions for solving a problem or accomplishing a task. Every computerized device uses algorithms, which cut the time required to do things manually.