format_equation

Creates a nicely formatted string representation of the equation.

A comprehensive toolkit for discovering differential and difference
equations from empirical time series data using symbolic regression. The package
implements a complete workflow from data preprocessing (including Total Variation
Regularized differentiation for noisy economic data), visual exploration of
dynamical structure, and symbolic equation discovery via genetic algorithms.
It leverages a high-performance 'Julia' backend ('SymbolicRegression.jl') to provide
industrial-grade robustness, physics-informed constraints, and rigorous
out-of-sample validation. Designed for economists, physicists, and researchers
studying dynamical systems from observational data.

José Mauricio Gómez Julián

EmpiricalDynamics

Empirical Discovery of Differential Equations from Time Series
Data

format_equation function

<dl><dt>equation</dt>
<dd>Fitted equation object.</dd>
<dt>format</dt>
<dd>Output format: "text", "latex", "markdown".</dd>
<dt>precision</dt>
<dd>Number of decimal places.</dd></dl>

Arguments

Format Equation for Display — format_equation

<dl>

<dt>equation</dt>
<dd>Fitted equation object.</dd>


<dt>format</dt>
<dd>Output format: "text", "latex", "markdown".</dd>


<dt>precision</dt>
<dd>Number of decimal places.</dd>

</dl>

format_equation: Format Equation for Display

Description

Usage

Value

Arguments