Trapezoid Rule Example (Unequal Step Size) | Numerical Methods
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In this video, we're diving into the world of numerical methods by using Trapezoid Rule to solve the definite integral of the function xe^sinx from 1 to 6 with unequal step sizes.
Understanding how to apply numerical methods like Trapezoid Rule is crucial in solving integrals, especially when dealing with complex functions. We'll break down the step-by-step process to compute the definite integral of this function within the given limits.
Trapezoid Rule is a numerical technique that approximates definite integrals by dividing the range into equally spaced intervals and using linear functions to approximate areas within those segments. It's a powerful method for approximating integrals when analytical solutions aren't readily available.
Great Derivative Calculator: https://www.emathhelp.net/en/calculators/calculus-1/derivative-calculator/
This timeline is meant to help you better understand how to solve a Trapezoid rule problem with unequal step sizes: 0:00 Introduction 0:23 Recall Trapezoid Rule Theory 1:10 Approximating a definite integral with Trapezoid Rule with unequal step sizes 2:58 Finding maximum error when using the Trapezoid rule with unequal step sizes 4:10 Outro
Relevant Numerical Methods Playlists: Numerical Methods Playlist: https://www.youtube.com/watch?v=F2NWYEOHIkc&list=PLDea8VeK4MUTOBXLpvx_WKtVrMkojEh52 Numerical Methods Examples Playlist: https://www.youtube.com/watch?v=UA7bzwCwHMI&list=PLDea8VeK4MUTxZGOTG-VNnW4T3TYwlEc9
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This video is part of our Numerical Methods course. Numerical methods is about solving math problems through approximating the solution of problems that would be difficult or impossible to solve analytically. In this playlist we will cover topics such as solving systems of linear equations, solving systems of non-linear equations, numerical integration, numerical derivatives, etc..In this video, we're diving into the world of numerical methods by using Trapezoid Rule to solve the definite integral of the function xe^sinx from 1 to 6 with unequal step sizes.
Understanding how to apply numerical methods like Trapezoid Rule is crucial in solving integrals, especially when dealing with complex functions. We'll break down the step-by-step process to compute the definite integral of this function within the given limits.
Trapezoid Rule is a numerical technique that approximates definite integrals by dividing the range into equally spaced intervals and using linear functions to approximate areas within those segments. It's a powerful method for approximating integrals when analytical solutions aren't readily available.
Great Derivative Calculator: https://www.emathhelp.net/en/calculators/calculus-1/derivative-calculator/
This timeline is meant to help you better understand how to solve a Trapezoid rule problem with unequal step sizes: 0:00 Introduction 0:13 Recall Trapezoid Rule Theory 1:10 Approximating a definite integral with Trapezoid Rule with unequal step sizes 2:58 Finding maximum error when using the Trapezoid rule with unequal step sizes 4:39 Outro
Relevant Numerical Methods Playlists: Numerical Methods Playlist: https://www.youtube.com/watch?v=F2NWYEOHIkc&list=PLDea8VeK4MUTOBXLpvx_WKtVrMkojEh52 Numerical Methods Examples Playlist: https://www.youtube.com/watch?v=UA7bzwCwHMI&list=PLDea8VeK4MUTxZGOTG-VNnW4T3TYwlEc9
Follow & Support StudySession: Channel Memberships: https://www.youtube.com/channel/UCaFHlSOg83nCUIHlFMlUhPw/join Email Us: StudySessionBusiness@gmail.com Twitter: https://twitter.com/StudySessionYT Instagram: https://instagram.com/StudySessionyt/
This video is part of our Numerical Methods course. Numerical methods is about solving math problems through approximating the solution of problems that would be difficult or impossible to solve analytically. In this playlist we will cover topics such as solving systems of linear equations, solving systems of non-linear equations, numerical integration, numerical derivatives, etc.. #studysession #numericalmethods #numericalanalysis ... https://www.youtube.com/watch?v=BOk4J7ITTis
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