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 ...

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 ...

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 course provides an introduction to linear algebra topics. Emphasis is placed on the development of abstract concepts and applications for vectors, systems of equations, matrices, determinants, ...

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 ...

Top students can benefit greatly by being offered the subject early. But many districts offer few Black and Latino eighth graders a chance to study it. By Troy Closson From suburbs in the Northeast to ...