The DirectSearch package is a collection of commands to numerically compute local and global minimums (maximums) of nonlinear multivariate function with (without) constraints. The package optimization methods are universal derivative-free direct searching methods, i.e. they do not require the objective function and constraints to be differentiable and continuous.
     The package optimization methods have quadratic convergence for quadratic functions.

     The package also contains commands for multiobjective optimization, solving system of equations, fitting nonlinear function to data.

The following is a summary of the major improvements in DirectSearch v.2.

-- Three new derivative-free optimization methods are added.
-- The new global optimization command GlobalOptima is added.
-- The commands for multiobjective optimization, solving system of equations, fitting nonlinear function to data are added.
-- Mixed integer-discrete-continuous optimization is now supported.
-- You can now specify inequality constraints as any Boolean expressions.
-- You can now set bound inequality constraints x>=a, x<=b as: x=a..b.
-- Assume and assumption commands are supported for inequality constraints.
-- You can now specify problem variables as Vector.
-- High dimensional optimization problem are now solved a much faster.
-- Search in space curve direction is added to all algorithms.
-- Penalty function method is added for optimization with inequality constraints
-- Improved optimization algorithm for equality constraints is faster and more reliable.
-- The feasible initial point searching is improved.
-- Now the package is compatible with Maple 12 and above.
-- Detailed description of CDOS method in .pdf format is added.
-- Russian version of the package is now available.