Backend service for generating and analyzing random matrices.

The application consumes a backend API hosted at:

• https://random-matrix-api.onrender.com/mp

Endpoints:

• /theo – provides data for the theoretical distribution, based on the article link.
• /hist – provides data for the empirical distribution, generated using Monte Carlo simulations.

Overview

Random Matrix API provides a REST API for generating random matrices and performing basic numerical operations.
It is designed to support a web application that visualizes matrix properties and results from Random Matrix Theory.

Backend Implementation

The backend is implemented in Python using the FastAPI framework. Key components:

• Pydantic – defines data schemas for input validation and JSON parsing.
• Uvicorn ASGI server – handles HTTP requests and communication between client and backend.
• Middleware allows cross-origin requests from any domain with any HTTP methods and headers.

Features

• Generate random matrices
• Perform basic matrix operations
• Numerical analysis of matrix properties
• JSON-based REST API for frontend integration

Installation and Running

Clone the repository and install dependencies (including the computation package from GitHub):

git clone https://github.com/Krzemon/random-matrix-api.git
cd random-matrix-api
pip install -r requirements.txt

Package repository: https://github.com/Krzemon/mp-package

Start the server (default host & port):

uvicorn app.main:app --reload --host 0.0.0.0 --port 8000