Algorithms give computers step-by-step instructions to complete tasks accurately.Good algorithms improve software speed, ...

SciPipe is a library for writing Scientific Workflows, sometimes also called "pipelines", in the Go programming language. When you need to run many commandline programs that depend on each other in ...

The goal of the course is to improve programming and problem-solving skills of the students by facing them with difficult problems and by presenting the techniques that help their reasoning in the ...

Abstract: Many optimal control problems include a continuous nonlinear dynamic system, state, and control constraints, and final state constraints. When using dynamic programming to solve such a ...

We are a research-led school with a reputation for excellent teaching and courses with real-world impact. We are based across four sites, comprising more than 2000 students and 190 specialist staff ...

Data-driven approaches are becoming increasingly common as problem-solving tools in many areas of science and technology. In most cases, machine learning models are the key component of these ...

Yash is an aspiring computer science student who loves to build things and write about all things tech. In his free time, he likes to play Squash, read a copy of the latest Murakami, and hunt dragons ...

Abstract: A stochastic resource allocation model, based on the principles of Markov decision processes ( MDPs ) , is proposed in this paper. In particular, a general-purpose framework is developed, ...

In the ideal world, software developers would analyze each problem in the language of its domain and then articulate solutions in matching terms. They could thus easily communicate with domain experts ...

Reliable preparation of entanglement between distant systems is an outstanding problem in quantum information science and quantum communication. In practice, this has to be accomplished by noisy ...