Numerical Integration Methods
Numerical Integration Methods refer to a set of algorithms used to approximate the definite integral of a function. These methods are used when the integral cannot be evaluated analytically or when the function is given as a set of data points. Numerical Integration Methods involve dividing the area under the curve into smaller sub-intervals and approximating the area of each sub-interval using a suitable formula. The approximated areas are then summed up to obtain an estimate of the total area under the curve. Some commonly used numerical integration methods include the Trapezoidal Rule, Simpson's Rule, and Gaussian Quadrature. These methods differ in their accuracy, computational complexity, and suitability for different types of functions.
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