A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.
Abstract: This study conducts a comparative analysis of a standard 9-bus power system using three of the most widely used load flow analysis algorithms: Gauss-Seidel, NewtonRaphson, and Decoupled Load ...
UC Berkeley scientists have developed a magnetic resonance imaging technique that tracks blood through the brain’s veins back to its source, potentially expanding insight into brain health. The ...
Institute for Chemistry and Biology of the Marine Environment (ICBM), Carl von Ossietzky Universität Oldenburg, Ammerländer Heerstraße 114-118, 26129 Oldenburg, Germany. Institute for Chemistry and ...
ABSTRACT: This paper presents an analysis of the power flow within the Northern Interconnected Grid of Cameroon. The Newton-Raphson method has been performed, known for its accuracy, under MATLAB ...
This repository contains a Python implementation of the Gauss-Seidel Elimination method for solving systems of linear equations. The code reads coefficients from an Excel file (`data.xls`), performs ...
In a recent study published in the PNAS Nexus, researchers introduced and validated resonance sonomanometry (RSM) for noninvasive, calibration-free continuous blood pressure (BP) measurement using ...
1704661527 source:d:\cms_masters_2023\semester_1\introduction to scientific programming\day_8 (05dec2023)\gauss seidel_jacobi method\main - copy.cpp 1704662507 ...
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