Exercise · ZW-GAUSSIAN-QUADRATURE-003 · ★☆☆ Basic
In the formula \(\sum w_i f(x_i)\), what do the \(w_i\) represent?
Choose one option.
Show answer
- C. Weights associated with each node
Explanation
Each \(w_i\) is the weight multiplying the value of \(f\) at its node. Lengths and errors do not appear in the sum.
Review the concept: Gaussian quadrature
Numerical integration method that chooses optimal nodes \(x_i\) and weights \(w_i\) to approximate an integral with the highest possible accuracy for a fixed number of function evaluations.
\[\int_{a}^{b} f(x)\,dx \approx \sum_{i=1}^{n} w_i\, f(x_i)\]
More practice problems: gaussian quadrature
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- ZW-GAUSSIAN-QUADRATURE-006 Apply the 2-point rule (nodes pm 1/√3, weights 1) to ∫_-1^1 x^2 dx. What do you get?
- ZW-GAUSSIAN-QUADRATURE-007 To map [a,b] onto [-1,1], which change of variable is used?
- ZW-GAUSSIAN-QUADRATURE-008 If the n-point rule is exact up to degree 2n-1, up to what degree is it exact with n=3?
- ZW-GAUSSIAN-QUADRATURE-009 Which statement about the 2-node Gaussian quadrature on [-1,1] is false?