fixed progress function: now using up-to-date consumed budget evaluation
numerical gradient now increases overall optimization budget
simplifed update of nevals
lowered the numerical gradient overall budget to dim + 1
fixed progress function: now using up-to-date consumed budget evaluation
made expected distance to minimum (edm) computation optional when optimization has completed as the numerical gradient consumes the objective function evaluation budget
added control of threading of objective function evaluations, closes #42
added support for multithreaded computation of natural gradient
added getter/setter to activation/deactivation of parallel evaluation of objective function + fixed default behavior
added PDF documentation to lib
changelog for 0.8
added configure control for compiling the library alone, fixes #11
Merge branch 'master' into gradient

Conflicts:
	src/esostrategy.cc
	src/parameters.h
	tests/test-functions.cc