basis2D module#
Created on Sun Sep 3 12:40:44 2023
@author: Pavan Pranjivan Mehta
- class basis2D.polynomials#
- Bases: - object- Returns 2D orthogonal polynomials of a degree “k x k”. - legendre(y, degree_i, degree_j)#
- Legendre Polynomials in 2D - phi_{ij} = phi_i o phi_j , where “o” is a composition operator - Parameters#- xfloat
- Spatial points in [-1,1] in “x” direction 
- yfloat
- Spatial points in [-1,1] in “y” direction 
- degree_iint
- degree_i of the polynomial for x direction 
- degree_jint
- degree_j of the polynomial for y direction 
 - Returns#- 2D Legendre polynomials within the interval [-1,1] x [-1,1] 
 - shift_legendre(y, degree_i, degree_j)#
- Shifted Legendre Polynomials in 2D - phi_{ij} = phi_i o phi_j , where “o” is a composition operator - Parameters#- xfloat
- Spatial points in [0,1] in “x” direction 
- yfloat
- Spatial points in [0,1] in “y” direction 
- degree_iint
- degree_i of the polynomial for x direction 
- degree_jint
- degree_j of the polynomial for y direction 
 - Returns#- 2D Shifted Legendre polynomials within the interval [0,1] x [0,1] - phi_{ij} = phi_i o phi_j , where “o” is a composition operator 
 
- class basis2D.homogeneous_basis#
- Bases: - object- Construct basis functions (phi_{ij}), such that phi_{ij} = 0 at the boundaries - legendre(y, degree_i, degree_j)#
- Construct 2D homogenous basis functions using Legendre Polynomials - phi_k = l_{k+2} - l_{k}, where l is legendre polynomial in [-1,1] of degree k - phi_{ij} = phi_i o phi_j , where “o” is a composition operator - Parameters#- xfloat
- Spatial points in [-1,1] in “x” direction 
- yfloat
- Spatial points in [-1,1] in “y” direction 
- degree_iint
- degree_i of the polynomial for x direction 
- degree_jint
- degree_j of the polynomial for y direction 
 - Returns#- 2D Homogenous Basis function using legendre polynomials within the interval [-1,1] x [-1,1] - phi_{ij} = phi_i o phi_j , where “o” is a composition operator 
 - shift_legendre(y, degree_i, degree_j)#
- Construct 2D homogenous basis functions using Shifted Legendre Polynomials - phi_k = l_{k+2} - l_{k}, where l is shifted legendre polynomial in [0,1] of degree k - phi_{ij} = phi_i o phi_j , where “o” is a composition operator - Parameters#- xfloat
- Spatial points in [0,1] in “x” direction 
- yfloat
- Spatial points in [0,1] in “y” direction 
- degree_iint
- degree_i of the polynomial for x direction 
- degree_jint
- degree_j of the polynomial for y direction 
 - Returns#- 2D Homogenous Basis function using shifted legendre polynomials within the interval [0,1] x [0,1] - phi_{ij} = phi_i o phi_j , where “o” is a composition operator 
 
- class basis2D.first_derivatives#
- Bases: - object- compututes 1st deriavties of Polynomials and Basis functions in 2D - legendre(y, degree_i, degree_j, h=0.0001)#
- First derivative of 2D Legendre Polynomials computed using finite diff (order 1) - Parameters#- xfloat
- Spatial points in [-1,1] in “x” direction 
- yfloat
- Spatial points in [-1,1] in “y” direction 
- degree_iint
- degree_i of the polynomial for x direction 
- degree_jint
- degree_j of the polynomial for y direction 
- hfloat
- finite difference step size, default h = 1e-4 
 - Returns#- First derivative of 2D Legendre polynomials within the interval [-1,1] x [-1,1] - PnXfloat
- first derivative along x direction for degree_i legendre polynomial 
- PnYfloat
- first derivative along y direction for degree_j legendre polynomial 
- PnXY2D numpy array
- PnXY = PnX o PnY , where “o” is composition operator 
 
 - shift_legendre(y, degree_i, degree_j, h=0.0001)#
- First derivative of 2D Shifted Legendre Polynomials computed using finite diff (order 1) - Parameters#- xfloat
- Spatial points in [0,1] in “x” direction 
- yfloat
- Spatial points in [0,1] in “y” direction 
- degree_iint
- degree_i of the polynomial for x direction 
- degree_jint
- degree_j of the polynomial for y direction 
- hfloat
- finite difference step size, default h = 1e-4 
 - Returns#- First derivative of Shifted Legendre polynomials within the interval [0,1] x [0,1] - PnXfloat
- first derivative along x direction for degree_i shifted legendre polynomial 
- PnYfloat
- first derivative along y direction for degree_j shifted legendre polynomial 
- PnXY2D numpy array
- PnXY = PnX o PnY , where “o” is composition operator 
 
 - homogenous_legendre_basis(y, degree_i, degree_j, h=0.0001)#
- First derivative of 2D Homognoous basis using Legendre Polynomials computed using finite diff (order 1) - Homogenous basis functions using Legendre Polynomials comstrcted as, - phi_k = l_{k+2} - l_{k}, where l is legendre polynomial in [-1,1] of degree k - Parameters#- xfloat
- Spatial points in [-1,1] in “x” direction 
- yfloat
- Spatial points in [-1,1] in “y” direction 
- degree_iint
- degree_i of the polynomial for x direction 
- degree_jint
- degree_j of the polynomial for y direction 
- hfloat
- finite difference step size, default h = 1e-4 
 - Returns#- First derivative of 2D Homognoous basis using Legendre polynomials within the interval [-1,1] x [-1, 1] - PnXfloat
- first derivative along x direction for degree_i homogenous basis using legendre polynomial 
- PnYfloat
- first derivative along y direction for degree_j homogenous basis using legendre polynomial 
- PnXY2D numpy array
- PnXY = PnX o PnY , where “o” is composition operator 
 
 - homogenous_shift_legendre_basis(y, degree_i, degree_j, h=0.0001)#
- First derivative of 2D Homognoous basis using Shifted Legendre Polynomials computed using finite diff (order 1) - Homogenous basis functions using Shifted Legendre Polynomials comstrcted as, - phi_k = l_{k+2} - l_{k}, where l is shifted legendre polynomial in [0,1] of degree k - Parameters#- xfloat
- Spatial points in [0,1] in “x” direction 
- yfloat
- Spatial points in [0,1] in “y” direction 
- degree_iint
- degree_i of the polynomial for x direction 
- degree_jint
- degree_j of the polynomial for y direction 
- hfloat
- finite difference step size, default h = 1e-4 
 - Returns#- First derivative of 2D Homognoous basis using Shifted Legendre polynomials within the interval [0,1] x [0,1] - PnXfloat
- first derivative along x direction for degree_i homogenous basis using Shifted legendre polynomial 
- PnYfloat
- first derivative along y direction for degree_j homogenous basis using Shifted legendre polynomial 
- PnXY2D numpy array
- PnXY = PnX o PnY , where “o” is composition operator