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Numerical integration is a technique used to approximate definite integrals when analytical solutions are difficult or impossible to obtain. It has applications in various fields such as engineering, physics, and data science, and involves methods like the Trapezoidal Rule and Simpson’s Rules. Errors in numerical integration arise from truncation and round-off, and minimizing these errors can be achieved by increasing the number of subintervals and choosing appropriate methods.

Author
princebro307
Language
EN