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Summary of important user-visible changes for optim 1.2.0:
-------------------------------------------------------------------
** Together with the new backend "lm_feasible" there is now a
complete suite of backends for optimization with linear and
general equality and inequality constraints, for scalar valued
objective functions and for array valued model function, which
features, a.o., honouring of constraints throughout optimization
and handling of structure-based parameters. The respective user
functions (frontends) are
nonlin_min nonlin_residmin nonlin_curvefit
together with a user function for statistics
residmin_stat
** The requirement of nonlin_min, nonlin_residmin, and
nonlin_curvefit for the general constraint functions being able to
honour an index of constraints has been removed, the respective
feature is still available by setting some options.
** Makefile fixed to work with non-standard linker options e.g on
Apple.
Summary of important user-visible changes for optim 1.1.0:
-------------------------------------------------------------------
** The following functions are new optim 1.1.0:
powell cauchy nonlin_min
** The following functions have been deprecated since they have been
implemented in Octave core:
fminunc_compat optimset_compat
** The function `fmin' has been deprecated in favour of using `fminbnd'
directly. If one really wishes to use the short version, one can
easily create an alias on an octaverc file (see `doc startup') with
the following code
function out=fmin(varargin) out=fminbnd(varargin{:}); endfunction
** The package Makefile has been adapted for compatibility with Octave 3.6.0.
** Bugfixes on the functions:
deriv linprog
** The function `line_min' has a configurable setpesize and max evals.
** Added possibility to restrict a parameter to samin.
** Package is no longer automatically loaded.
Some important changes of the last versions of optim before 1.1.0:
------------------------------------------------------------------
** New functions:
jacobs: complex step derivative approximation
nonlin_residmin, nonlin_curvefit: Frontends with a general
interface for constrained residual-based optimization. They
allow a.o. optimization of structure-based named parameters or
parameter-arrays. A backend is included, which is derived from
the algorithm of leasqr, but enables feasible-path optimization
with linear and general constraints.
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