Numerical Integration
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Numerical integration serves as a fundamental numerical computation method across mathematics, science, and engineering disciplines. It enables calculations of areas under curves and surfaces, determination of function averages and variances, among other applications. MATLAB represents a widely-used programming language for numerical computations and scientific/engineering applications. The MATLAB ecosystem contains numerous algorithm collections, including specialized numerical integration algorithms that facilitate rapid and accurate calculations. When utilizing these algorithm suites, users must understand input/output parameters to ensure proper function calls and obtain correct results. Key implementation aspects include selecting appropriate integration methods (e.g., trapezoidal rule, Simpson's rule), handling integration limits, and specifying tolerance levels for precision control through functions like integral() or quad().
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