file	opt/praxis
#	version from Stanford Linear Accelerator Center, dated 3/1/73
for	minimum of the function f(x,n) of n variables, no gradient
alg	principal axis method
ref	Algorithms for finding zeros and extrema of functions without calculating derivatives
by	Richard Brent.

file	opt/praxisp
#	version calling the Port library workspace package
for	minimum of the function f(x,n) of n variables, no gradient
alg	principal axis method
ref	Algorithms for finding zeros and extrema of functions without calculating derivatives
by	Richard Brent.

file	opt/tn
by	Stephen G. Nash
for	unconstrained and simply bounded optimization
alg	truncated Newton algorithm
ref	SIAM J. Num. Anal. 21 (1984) 770-788

file	opt/ve08
by	Phillipe Toint
name	VE08AD
for	minimizing a partially separable objective function
#	1. Griewank, A. and Ph.L. Toint, "Partitioned Variable Metric
#		Updates for Large Structured Optimization Problems",
#		Numerische Mathematik (39):119-137, 1982.
#	2. Griewank, A. and Ph.L. Toint, "Local Convergence Analysis for
#		Partitioned Quasi-Newton Updates", Numerische Mathematik
#		(39):429-448, 1982.
#	3. Griewank, A. and Ph.L. Toint, "On the Unconstrained
#		Optimization of Partially Separable Functions".
#		In Nonlinear Optimization 1981, edited by M.J.D. Powell,
#		Academic Press, New-York, 1982.

lib	opt/nlr
for	Maximum Likelihood and Quasi-Likelihood Estimation in Nonlinear Regression
by	David S. Bunch, David M. Gay, and Roy E. Welsch

