Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Functional differential equations have received attention since the 1920's. Within that development, boundary value problems have played a prominent role in both the theory and applications dating ...

The National Research Council of Canada (NRC)'s Applied Quantum Computing Challenge program is launching a call for proposals to support research in quantum ...

Illustration of a set of real zeros of a graph polynomial (middle) and two Feynman diagrams. Credit: Max Planck Institute for Mathematics in the Sciences How can the behavior of elementary particles ...

Check the ISC Class 12th Maths Syllabus 2025-26 in the table below and get to know about the list of chapters to be studied for the upcoming ISC Board Exams 2025. Matrices: Concept, notation, order, ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

1. Relations and Functions Types of relations: reflexive, symmetric, transitive and equivalence relations. One to one and onto functions. 2. Inverse Trigonometric Functions Definition, range, domain, ...

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 ...

The book is an introduction to Linear Algebra with an account of its principal applications. It is addressed to students of mathematics, the physical, engineering and social sciences, and commerce.

1 Department of Thoracic Surgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China 2 Medical School of Chinese PLA, Beijing, China We address mathematical modelling of ...

Abstract: The stability of stochastic differential equations with random coefficients is considered. The coefficients are not required to be wide-band noise, but either strongly ergodic or Markovian.