Scientific Computing with MATLAB

Solving scientific and engineering problems

Scientific computing, also known as computational science, uses computational methods to solve science and engineering problems. The modeling of natural systems using numerical simulation is an important area of focus within scientific computing. These models are often computationally intensive and require high performance computing resources.

MATLAB^®, a high-level technical computing language and interactive environment, is a standard tool used in multiple industries for scientific computing applications. MATLAB provides built-in functionality for numerical linear algebra, Fourier analysis, numerical integration, and for solving ordinary differential equations. Toolboxes offer collections of special-purpose MATLAB functions in areas such as statistics, optimization, and parallel computing.

Examples and How To

• Computational Mathematics Tutorial (Video)
• Numerical Integration of Differential Equations (Example)
• Using FFT in MATLAB (Example)
• Mathematical Modeling with MATLAB Products (Webinar)
• Numerical Computing with MATLAB (Downloadable Book by Cleve Moler)

Software Reference

• Linear Algebra (Documentation)
• Fourier Analysis and Filtering (Documentation)
• Numerical Integration and Differential Equations (Documentation)

See also: random number generation, mathematical modeling, parallel computing, numerical analysis, Statistics Toolbox, Optimization Toolbox