Math anxiety, not ghosts, is scaring families this October as new test scores show American students falling further behind in math. The latest NAEP “report card” reveals that only 33% of U.S. high ...

Abstract: Designing algorithms to solve math word problems (MWPs) is an important research topic in natural language processing and smart education domains. The task of solving MWPs involves ...

Abstract: Subcircuit recognition (SR) is a problem of identifying instances of a small subcircuit in a larger circuit. Despite recent progress toward linear optimization-based SR algorithms, finding a ...

KokkosKernels implements local computational kernels for linear algebra and graph operations, using the Kokkos shared-memory parallel programming model. "Local" means not using MPI, or running within ...

A secondary purpose of this repository is to provide a generalized graph API that enables implementation of a very wide range of in-memory graph algorithms including basic methods for reading, writing ...

The unparalleled problem-solving power and predictive capability of mathematics and statistics enable profound and sustainable solutions to even the most complex problems. The programme educates top ...

GCSE AQA Solving linear equations - AQA Test questions Forming, using and solving equations are skills needed in many different situations. From balancing accounts to making sense of a mobile phone ...

The objective of the study is to explore an effective way for providing students with the appropriate learning resources in the remote education scenario. Artificial intelligence (AI) technology and ...

This programme, supported by the Hg Foundation, aims to assist A-level Further Mathematics students who are considering studying a maths-related degree at university. Through this programme you will: ...

This course teaches imperative programming in a C-like language and methods for ensuring the correctness of imperative programs. It is intended for students who are familiar with elementary ...

Spirtes, Glymour and Scheines showed that causal discovery converges to the truth under plausible conditions (i.e., is point-wise consistent). That does not entailthat one can say a priori how ...