Title: Global optimization by differential evolution in C++
Author: Dirk Eddelbuettel extending DEoptim (by David Ardia, Katharine
Mullen, Brian Peterson, Joshua Ulrich) which itself is based on
Description: This package provides an efficient C++ based
implementation of the DEoptim function which performs global
optimization by differential evolution. It aims to show that
"easier, shorter, faster: pick any three" is achievable when
moving code from plain old C to modern C++.

optimization by differential evolution.  Its creation was
motivated by trying to see if the old approximation "easier,
shorter, faster: pick any two" could in fact be extended to
achieving all three goals while moving the code from plain old
C to modern C++.  The initial version did in fact do so, but a
good part of the gain was due to an implicit code review which
eliminated a few inefficiencies which have since been

Author: Dirk Eddelbuettel extending DEoptim (by David Ardia, Katharine Mullen,
Brian Peterson, Joshua Ulrich) which itself is based on DE-Engine (by Rainer Storn)
Description: This package provides an efficient C++ based implementation of the
DEoptim function which performs global optimization by differential evolution.
Its creation was motivated by trying to see if the old approximation "easier,
shorter, faster: pick any two" could in fact be extended to achieving all
three goals while moving the code from plain old C to modern C++.  The
initial version did in fact do so, but a good part of the gain was due to
an implicit code review which eliminated a few inefficiencies which have

Title: Global Optimization by Differential Evolution in C++
Description: An efficient C++ based implementation of the 'DEoptim'
function which performs global optimization by differential evolution.

Description: This package is based on the C++ code from Yusuke Sugomori,
which implements basic machine learning methods with
many layers (deep learning), including dA (Denoising Autoencoder),
SdA (Stacked Denoising Autoencoder), RBM (Restricted Boltzmann machine) and