Legacy systems exude a certain fascination because they offer their own unique, exciting challenges. These can be much more interesting than assembling modern frameworks into an application from ...

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 ...

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 ...

A new approach in the finite difference framework is developed, which consists of three steps: choosing the dimension of the local approximation subspace, constructing a vector basis for this subspace ...

The bleeding edge: In-memory processing is a fascinating concept for a new computer architecture that can compute operations within the system's memory. While hardware accommodating this type of ...

The Basics of Returns-Based Style Analysis Fetching Data for Style Analysis Case Study: Looking for Investment Style Drift Unlock More Code Snippets for Rigorous Fund Evaluation Investors choose funds ...

Abstract: An FDTD technique that enables broadband simulation of periodic structures under oblique wave incidence is described. It is based on the asynchronous FDTD implementation intrinsic to the ...

When trying to run the basic examples found at https://pysindy.readthedocs.io/en/latest/examples/3_original_paper/example.html, I run into multiple errors. It seems ...

Euler Method: The simplest numerical method for solving ODEs, which uses the derivative to project forward. [ y_{n+1} = y_n + h \cdot f(x_n, y_n) ] Heun's Method (Improved Euler Method): A two-step ...