Evaluate (generalized) nodal polynomial basis functions in multiple variables and derivatives from nodal coordinates (XK) and evaluation

Evaluate Hermite polynomial basis functions and derivatives from nodal coordinates (XK) and evaluation points (X) Input arguments

Evaluate Chebyshev polynomials using recurrence relation Input arguments --------------- porder : int Polynomial order x :

Evaluate Jacobi polynomials using recurrence relation Input arguments --------------- alpha, beta : number Jacobi polynomial p

Evaluate Legendre polynomials using recurrence relation Input arguments --------------- porder : int Polynomial order x :

Evaluate elementwise residual and jacobian of conservation law in CG

First-order finite difference coefficients alpha, beta, gamma such that: f'(x) = (alpha/eps)*(sum_k beta[k]*f(x+gamma[k]*eps)) + O(eps^p

Jacobian of f about x Df(x)[..., j] = (alpha/eps)*(sum_k beta[k]*f(x+gamma[k]*eps*ej)) + O(eps^p) Input arguments ---------------

Find target in database whose parameter is closest to mu Input arguments --------------- mu : iterable of number

Get all entries in database with specific target Input arguments --------------- wtarg : str Target to ex

Get all entries in database with specific target except those for parameter mu Input arguments ---------------

Intergrate elementwise the boundary face of element residual and jacobian of conservation law

Intergrate elementwise internal volume of element residual and jacobian of conservation law

Make MP4 from list of images using FFMPEG Input arguments --------------- imglst : iterable of str Filename of images (ordered

Compute one-dimensional Chebyshev nodal distribution over interval [-1, 1] Input arguments --------------- nv : int Number

Compute one-dimensional Gauss-Legendre nodal distribution over interval [-1, 1] Input arguments --------------- nv : int

Compute one-dimensional Gauss-Legendre-Lobotto nodal distribution over interval [-1, 1] Input arguments --------------- nv :

Compute one-dimensional uniform nodal distribution over interval [-1, 1] Input arguments --------------- nv : int Number o

Quadrature rule for hypercube as tensor product of one-dimensional quadrature rule Input arguments --------------- ndim : in

Quadrature rule for simplex [0, 1]**ndim from a quadrature rule for the hypercube [-1, 1]**ndim Input arguments ---------------

Compute Gaussian quadrature rules from orthogonal polynomial recursion: p_j(x) = (a_j*x+b_j)*p_{j-1}(x) - c_j*p_{j-2}(x) (j = 1, ..

DataLoader: training data fcn: loss function model: GCNN model to be trained tol: the trauncation of loss function maxit: the maximum number of

eval_linelptc_base_handcode_srcflux

eval_linelptc_base_handcode_srcflux

Constructor Input arguments --------------- dist, offset : See above targets : iterable of str Na

xe - nodal positions xq, detG, Gi in volume xqf, sigf, Gi, n on faces xqd on edges