What is the difference between H-Adaptive Integration and adaptive quadrature algorithms

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I am a little bit confused about the difference between the H-Adaptive Integration and adaptive quadrature algorithms, AFAIK:

  • Both break down the entire region of integration into smaller sub-regions.
  • Both apply a quadrature rule: Each sub-region is tackled using a pre-defined numerical integration rule (like Midpoint, Trapezoidal, etc.).
  • Both adaptively refine the error in a sub-region if it is too large.

After all, is there any difference in both techniques?