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The rectangle rule is one of the simplest numerical methods for approximating the definite integral of a function. It works by dividing the interval into equal subintervals and approximating the area under the curve using rectangles whose heights are determined by the function value at a chosen point in each subinterval (left endpoint, right endpoint, or midpoint). While easy to implement and computationally fast, the rectangle rule can introduce significant error, especially when the function i
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The rectangle rule is one of the simplest numerical methods for approximating the definite integral of a function. It works by dividing the interval into equal subintervals and approximating the area under the curve using rectangles whose heights are determined by the function value at a chosen point in each subinterval (left endpoint, right endpoint, or midpoint). While easy to implement and computationally fast, the rectangle rule can introduce significant error, especially when the function i
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The rectangle rule is one of the simplest numerical methods for approximating the definite integral of a function. It works by dividing the interval into equal subintervals and approximating the area under the curve using rectangles whose heights are determined by the function value at a chosen point in each subinterval (left endpoint, right endpoint, or midpoint). While easy to implement and computationally fast, the rectangle rule can introduce significant error, especially when the function i
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The rectangle rule is one of the simplest numerical methods for approximating the definite integral of a function. It works by dividing the interval into equal subintervals and approximating the area under the curve using rectangles whose heights are determined by the function value at a chosen point in each subinterval (left endpoint, right endpoint, or midpoint). While easy to implement and computationally fast, the rectangle rule can introduce significant error, especially when the function i
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