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Towards High Quality Gradient Estimation on Regular Lattices

Explore enhanced methods for accurate gradient estimation on regular lattices in Rn. Our contributions focus on small support problem, extending orthogonal projection frameworks, and comparison with existing methods.

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Towards High Quality Gradient Estimation on Regular Lattices

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  1. Towards High Quality Gradient Estimation on Regular Lattices Zahid Hossain, Usman Raza Alim and Dr. Torsten Möller

  2. Our Contributions Small Support Problem: Derivative Estimation Very accurate Taylor Series Framework Orthogonal Projection Framework Extended to all regular lattices in Rn: CC, BCC … CC BCC

  3. Comparison: In BCC Grid High Res. Low Res. Existing Method: 2nd-CD Our Method: Taylor Series Framework Our Method: Orthogonal Projection Framework

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