Abstract: An exploit of the sequential importance sampling (SIS) algorithm using differential algebra techniques is derived to develop an efficient particle filter. The filter creates an original kind ...

Abstract: Constructing algebraic polynomials using computer algebra techniques is believed to be state-of-the-art in analyzing gate-level arithmetic circuits. However, the existing approach applies ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data transformations. Different books cater to various needs. Some focus on ...

Courtney Gibbons is affiliated with the Association for Women in Mathematics and the American Mathematical Society. You might remember learning about the quadratic formula to figure out the solutions ...

Opt to spend a full year on a work placement. Our students have secured placements with a range of organisations, including Intel, the Met Office, HSBC, Deloitte, Morgan Stanley, and the Civil Service ...

We determine all reduced saturated fusion systems supported on a finite p-group of nilpotency class 2. As a consequence, we obtain a new proof of Gilman and Gorenstein's classification of finite ...

Discover a treasure trove of free KS3 algebra worksheets, lesson plans, and activities designed to make learning algebra engaging and accessible for students and teachers alike. (If you’re looking for ...

Lie algebraic techniques are powerful and widely used tools for studying dynamics and metrology in quantum optics. When the Hamiltonian generates a Lie algebra with finite dimension, the unitary ...

This Autumn 2025 Semester Programme will bring together researchers and practitioners that work in or at the intersection of numerical analysis, numerical linear algebra, applications, and machine ...

In the fall of 2014, Andrew Wilson took a front-row seat in Ken Ono’s number-theory class at Emory University, in Atlanta. Wilson was not only double-majoring in applied math and physics; he was also ...