# Symbolic Math Toolbox

## Perform symbolic math computations

Symbolic Math Toolbox™ provides functions for solving, plotting, and manipulating symbolic math equations. You can create, run, and share symbolic math code using the MATLAB^{®} Live Editor. The toolbox provides functions in common mathematical areas such as calculus, linear algebra, algebraic and ordinary differential equations, equation simplification, and equation manipulation.

Symbolic Math Toolbox lets you analytically perform differentiation, integration, simplification, transforms, and equation solving. You can perform dimensional computations and conversions using SI and US unit systems. Your computations can be performed either analytically or using variable-precision arithmetic, with the results displayed in mathematical typeset.

You can share your symbolic work with other MATLAB users as live scripts or convert them to HTML or PDF for publication. You can generate MATLAB functions, Simulink^{®} function blocks, and Simscape™ equations directly from symbolic expressions.

### Get Started:

Getting Started Resources

**Mathematical Modeling with Symbolic Math Toolbox**

### Integration

Evaluate exact analytical solutions for definite or indefinite integrals. Perform high-precision numeric integrations using variable-precision arithmetic.

### Differentiation

Calculate derivatives of symbolic expressions or functions including functional derivatives.

### Series Expansion, Integral Transformation, and Vector Analysis

Approximate functions using series expansions, compute common transforms and their inverses, and perform vector calculus operations.

### Solve Algebraic and Differential Equations

Solve linear and nonlinear algebraic and differential equations analytically. Reduce differential algebraic equations.

### Simplify and Rewrite Expressions

Simplify and rewrite symbolic expressions using different assumptions or options to manipulate expressions for various computations.

### Substitute Variables

Replace portions of expressions with specific symbolic or numeric values to evaluate symbolic expressions using substitution.

### Matrix Operation and Transformation

Analyze, transform, and decompose matrices to study the properties of linear equations.

### Solve Systems of Linear Equations

Solve systems of linear equations in matrix or equation form. Compute matrix properties, such as the eigenvalues, norm, determinant and characteristic polynomial to study systems of linear equations.

### Analytical Plotting

Use built-in functions to plot symbolic expressions and functions using extended MATLAB graphics capabilities.

### Animation

Visualize the behavior of symbolic expressions using animations.

### Precision and Computation Speed

Explicitly set the number of significant digits to avoid hidden round-off errors. Increase the speed of calculations by reducing the precision with variable-precision arithmetic.

### Define, Create, and Convert Units

Create custom unit systems and convert between existing unit systems. Directly use over 2000 built-in units of measurement for physical quantities such as mass, time, velocity, and power.

### Perform Dimensional Analysis

Verify the dimensional compatibility and consistency of units in physics calculations.

### Interactive Computations

Interactively update and display symbolic math computations alongside MATLAB code, formatted text, equations, images, and hyperlinks using the MATLAB Live Editor.

### Share MATLAB Code and Live Scripts

Create reproducible documentation by embedding code within a narrative. Publish and share your work as live scripts, generated PDFs or HTML documents.

### Generate code for MATLAB, Simulink, and Simscape

Generate MATLAB functions, Simulink function blocks, or custom equation-based Simscape components directly from symbolic expressions.

### Generate code for C, Fortran, LaTeX, and MathML

Generate C or Fortran code from symbolic expressions for numeric computations. Generate LaTeX or MathML for display.

### Variable Precision Summation

Evaluate numerical sum of a symbolic series using desired precision level

See the release notes for details on any of these features and corresponding functions.

### Machine Learning Onramp

An interactive introduction to practical machine learning methods for classification problems.