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PHS+poly approximation procedures

Project description

phs_poly

Procedures for generating RBF-FD weights for derivative calculations.
Currently only PHS + poly approximations in 2-d are supported.


Installation

To install use,

pip install phs_poly

Requirements_

  • A Fortran compiler (e.g. gfortran or flang)
  • A LAPACK library (e.g. OpenBLAS, Accelerate, ArmPL)
  • NumPy

Quickstart

import phs_poly

# ... set x- and y-coordinates, initialize work and coeff arrays ...

ierr = phs_poly.phs3_poly2(n,x,y,coeffs,ldc,wrk,iwrk)

# First derivatives weights
wx = coeffs[0:n,0] 
wy = coeffs[0:n,1]

# Second derivative weights
wxx = coeffs[0:n,2] 
wxy = coeffs[0:n,3]
wyy = coeffs[0:n,4]

Features

  • RBF-FD weights for derivative operators
  • PHS + poly based approximation
  • Designed for 2-d problems

Approximation of scattered function

License

This project is licensed under the MIT License. See LICENSE for details.

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