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Abstract: Graph-based methods pervade the inference toolkits of numerous disciplines including sociology, biology, neuroscience, physics, chemistry, and engineering. A challenging problem encountered ...

Abstract: Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration ...

Recreated the popular graphing application "Desmos" on Python using matplotlib, scipy and numpy. GPython can be used as an extensive graphing application that can plot 2D, 3D and even polar curves and ...

One header file library that implement missing transcendental math functions (cos, sin, acos, and more....) using 100% AVX/Neon instructions (no branching) ...

Exploring and travelling involves moving between vertices along the edges of a graph. Understanding the various methods and mathematical principles behind this allows for the identification of the ...

This section focuses on the key features and methods for working with linear graphs. It demonstrates how to sketch graphs from rules, derive rules from graphs, and calculate key features such as the ...