cva 0.9.5

cva -- Calculus of Variations
=============================

The cva library (pronounced see-va) implements a solver for problems
in the domain of the calculus of variations. This includes such
problems as finding geodesics on arbitrary surfaces, finding minimal
paths in curved spacetime, or basically any path minimization problem
that can be defined in terms of a surface or hypersurface model with an
attached metric.

Quickstart
----
import cva
cva.examples.case01_torus()
----

Provides:
1. Models
2. Metrics
3. Views
4. Solver

Documentation:
1. The mathematical foundations on which the cva library is based:

Whitinger, Robert, "An Algorithm for the Machine Calculation of Minimal Paths" (2016).
Electronic Theses and Dissertations. Paper 3119. http://dc.etsu.edu/etd/3119

Download pdf: http://dc.etsu.edu/cgi/viewcontent.cgi?article=4521&context=etd

2. Docstrings are provided with the library functions
3. Runable examples are provided as starting points


Utilities:
do_test
run the cva test suite