Automatic optimal discretization pipeline
A Simple Square Matrices Systems Calculator in Python for Linear Algebra
A simple library to calculate correlation between variables. Currently provides correlation between nominal variables.
A Low-Communication Distributed State-Estimation Framework for Satellite Formations based on the V-R3X CubeSat mission setting
Program that solves S.L.E by Gauss, Gauss-Jordan and Cramer methods, as well as other operations with matrices. In progress...
The Cramer, Determinant, Coefficient, Multiplication for the matrix.
Utilize essa calculadora de sistemas lineares para resolver e classificar sistemas de equações lineares.
Calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the variance of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
Python implementation of Cramer's V, often used to find the correlation between two categorical variables.
Calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.
Streamlining the process to generate synthetic data. Just focus on the data, not the code!
Calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.
Desktop‑приложение для решения СЛАУ с графическим интерфейсом на PyQt6. Поддерживает методы Крамера, Гаусса и Гаусса‑Жордана.
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