Symbolic function, gradient and divergence

Easy definition of arbitrarily sized functions and effective computation of gradient and divergence operators.

The function "mysym.m" allows an easy definition of a n x m symbolic vectorial function of k variables.

Example: u=mysym('u',[2,1],[x,y])

The function "mygradient.m" allows an easy computation of the gradient.

Example: grad_u=mygradient(u,[x,y])

The function "mydivergence.m" allows an easy computation of the divergence.

Example: div_u=mydivergence(u,[x,y])

(x and y must be defined as symbolic variables)

The Live Script "examples.mlx" presents a series of useful examples.

If you like the functions, please give feedback.