Port of the 'Scilab' 'n1qn1' and 'qnbd' Modules for
(Un)constrained BFGS Optimization
Provides 'Scilab' 'n1qn1', or Quasi-Newton BFGS
"qn" without constraints and 'qnbd' or Quasi-Newton BFGS with constraints.
This takes more memory than traditional L-BFGS.  The n1qn1 routine is useful since it allows prespecification of a Hessian.
If the Hessian is near enough the truth in optimization it can speed up the optimization problem. Both algorithms are described in the
'Scilab' optimization documentation located at
<http://www.scilab.org/content/download/250/1714/file/optimization_in_scilab.pdf>.

Provides 'Scilab' 'n1qn1', or Quasi-Newton BFGS
"qn" without constraints and 'qnbd' or Quasi-Newton BFGS with constraints.
This takes more memory than traditional L-BFGS.  The n1qn1 routine is useful since it allows prespecification of a Hessian.
If the Hessian is near enough the truth in optimization it can speed up the optimization problem. Both algorithms are described in the
'Scilab' optimization documentation located at
<https://www.scilab.org/sites/default/files/optimization_in_scilab.pdf>.

Port of the 'Scilab' 'n1qn1' Modules for Un-constrained BFGS
Optimization

Siomara Cristina Broch, Daniel Furtado Ferreira
Computes the noncentral Dunnett's test distribution (pdf,
cdf and quantile) and generates random numbers

Computes the noncentral Dunnett's test distribution (pdf, cdf and quantile) and generates random numbers.

Youyi Fong <yfong@fhcrc.org>, Krisztian Sebestyen
<ksebestyen@gmail.com>
nCal is a package that performs nonlinear calibration for
data from Luminex, RT-PCR, ELISA, etc.

nCal is a package that performs nonlinear calibration and
curve fitting for data from Luminex, RT-PCR, ELISA, RPPA etc.
Additional documentation can be found on
http://research.fhcrc.org/youyifong/en/resources/ncal.html.

nCal is a package that performs nonlinear calibration and curve fitting for data from Luminex, RT-PCR, ELISA, RPPA etc. Additional documentation can be found at http://research.fhcrc.org/youyifong/en/resources/ncal.html.