Master Python functions and apply them to solve physics problems efficiently. Learn step-by-step techniques for simulations, calculations, and modeling in physics using Python. Ideal for students, ...

Abstract: Code-based Distributed Matrix Multiplication (DMM) has been widely studied as an effective method for large-scale matrix computations in distributed systems. Two central challenges in ...

With technology continuing to change the way the world travels, there are certain aspects of the airline game that remain very much in the realm of the so-called "old school." Airplanes themselves, ...

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that map math variables, instead of representing information using abstraction ...

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...

ABSTRACT: Background: Matrix metalloproteinases (MMPs) gene polymorphisms contribute to the risk of developing cardiovascular diseases. This study aimed to determine the possible association of two ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Abstract: The problem of straggler mitigation in distributed matrix multiplication (DMM) is considered for a large number of worker nodes and a fixed small finite field. Polynomial codes and matdot ...