semvec/pypi-packages huggingface dataset:
BM16036UNO 0.1.2
Librería para resolver sistemas de ecuaciones lineales y no lineales mediante varios métodos.
Requires Python: >=3.6

# BM16036UNO

**BM16036UNO** Es una librería en Python diseñada para resolver sistemas de ecuaciones lineales y no lineales utilizando diversos métodos numéricos. Esta librería fue desarrollada como parte del Corto 1 de la materia Cálculo Numérico para Desarrollo de Aplicaciones para la Universidad Nacional de El Salvador, agrupa implementaciones de métodos clásicos, tales como:

- **Eliminación de Gauss**
- **Gauss-Jordan**
- **Cramer**
- **Descomposición LU**
- **Jacobi**
- **Gauss-Seidel**
- **Bisección**

## Características

- **Resolución de sistemas lineales:**  
  Implementa métodos directos (Eliminación de Gauss, Gauss-Jordan, Cramer, Descomposición LU) e iterativos (Jacobi y Gauss-Seidel) para resolver sistemas de ecuaciones.

- **Resolución de ecuaciones no lineales:**  
  Incluye el método de bisección para encontrar raíces de funciones no lineales.
SL21010UNO 1.0.0
Librería de métodos numéricos
Requires Python: >=3.6

# SL21010UNO - Librería de Métodos Numéricos

Librería implementada por Enzo Yubini Sánchez Linares (Carnet: SL21010) para resolver sistemas de ecuaciones lineales y no lineales.

## Instalación

```bash
pip install SL21010UNO
HG22017UNO 0.2.3
A library for solving linear and nonlinear systems of equations using various methods.
Requires Python: >=3.6

# Linear and Nonlinear Solver

This project provides a Python library for solving both linear and nonlinear systems of equations using various numerical methods. The library includes implementations of the following methods:

## Linear Methods
1. **Gauss Elimination**: A method for solving linear systems by transforming the system into an upper triangular matrix.
2. **Gauss-Jordan Elimination**: An extension of Gauss elimination that reduces the matrix to reduced row echelon form.
3. **Cramer's Rule**: A method for solving linear systems using determinants, applicable when the system has a unique solution.
4. **LU Decomposition**: A method that factors a matrix into a lower triangular matrix and an upper triangular matrix to simplify solving linear systems.

## Nonlinear Methods
1. **Jacobi Method**: An iterative method for solving a system of nonlinear equations.
2. **Gauss-Seidel Method**: An improvement over the Jacobi method that uses the latest available values for faster convergence.
3. **Bisection Method**: A root-finding method that repeatedly bisects an interval and selects a subinterval in which a root exists.

## Installation

To install the library, clone the repository and run the following command:

```
pip install .
```

## Usage

### Linear Methods

```python
from solver.linear.gauss_elimination import gauss_elimination
from solver.linear.gauss_jordan import gauss_jordan
from solver.linear.cramer_rule import cramer_rule
from solver.linear.lu_decomposition import lu_decomposition

# Example usage
matrix = [[2, 1, -1], [3, 3, 9], [3, 3, 5]]
b = [8, 0, 4]

solution = gauss_elimination(matrix, b)
```

### Nonlinear Methods

```python
from solver.nonlinear.jacobi import jacobi_method
from solver.nonlinear.gauss_seidel import gauss_seidel_method
from solver.nonlinear.bisection import bisection_method

# Example usage
def func(x):
    return x**3 - x - 2

root = bisection_method(func, 1, 2)
```

## Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

## License

This project is licensed under the MIT License. See the LICENSE file for details.
LT22004UNO 0.1.2
Librería para resolver sistemas de ecuaciones lineales y no lineales
Requires Python: >=3.6

Â¡Hola! esta libreria esta disenada para resolver sistemas de ecuaciones lineales y no lineales.

## Metodos implementados

### Sistemas lineales
- Eliminacion Gaussiana
- Gauss-Jordan
- Regla de Cramer
- DescomposiciÃ³n LU
- Jacobi
- Gauss-Seidel

### Sistemas no lineales
- Metodo de BisecciÃ³n

## Instalacion

```bash
pip install 0265831UNO
CDA-corto1 0.1.1
Librería para resolver sistemas de ecuaciones lineales y no lineales
Requires Python: >=3.6

Â¡Hola! esta libreria esta disenada para resolver sistemas de ecuaciones lineales y no lineales.

## Metodos implementados

### Sistemas lineales
- Eliminacion Gaussiana
- Gauss-Jordan
- Regla de Cramer
- DescomposiciÃ³n LU
- Jacobi
- Gauss-Seidel

### Sistemas no lineales
- Metodo de BisecciÃ³n

## Instalacion

```bash
pip install pyequation_solver
dsproject 0.1.0
A Data Science project for model training and data exploration

# dsproject

A reusable Data Science project template with best practices in structure, logging, modular code, and Jupyter integration.

## Features
- Modular codebase
- Auto EDA
- Model training
- Plug-n-play CSV/Excel/SQL data
- Ready for deployment or experimentation

## Installation
```bash
pip install -e .