elasticity_rhs.py File Reference

Go to the source code of this file.

Namespaces
namespace	elasticity_rhs

Functions
	elasticity_rhs.Det (mat)
	elasticity_rhs.sigma_fun (j, ee, C, dim)
	elasticity_rhs.linear_elasticity (disp_grad, def_grad)
	elasticity_rhs.hooke (disp_grad, def_grad)
	elasticity_rhs.saint_venant (disp_grad, def_grad)
	elasticity_rhs.neo_hookean (disp_grad, def_grad)
	elasticity_rhs.divergence (sigma)
	elasticity_rhs.parse_args ()

Variables
	elasticity_rhs.args = parse_args()
list	elasticity_rhs.dims = [2, 3]
list	elasticity_rhs.names = ["linear_elasticity", "hooke", "saint_venant", "neo_hookean"]
str	elasticity_rhs.cpp = "#include <polyfem/autogen/auto_elasticity_rhs.hpp>\n\n\n"
str	elasticity_rhs.hpp = "#pragma once\n\n#include <polyfem/utils/ElasticityUtils.hpp>\n#include <polyfem/utils/AutodiffTypes.hpp>\n#include <Eigen/Dense>\n\n"
	elasticity_rhs.x = Symbol('x')
	elasticity_rhs.y = Symbol('y')
	elasticity_rhs.z = Symbol('z')
	elasticity_rhs.X = Matrix([x, y])
	elasticity_rhs.f = Matrix([Function('f0')(x, y), Function('f1')(x, y)])
	elasticity_rhs.disp_grad = f.jacobian(X)
tuple	elasticity_rhs.def_grad = (eye(dim) + disp_grad)
	elasticity_rhs.sigma = hooke(disp_grad, def_grad)
	elasticity_rhs.div = divergence(sigma)
	elasticity_rhs.c99 = pretty_print.C99_print(div)
str	elasticity_rhs.signature = "void " + name + "_" + str(dim) + "d_function(const AutodiffHessianPt &pt"
	elasticity_rhs.path = os.path.abspath(args.output)