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sc::Optimize Class Reference The Optimize class is an abstract base class for classes that find the extreme points of Function's. More... #include <opt.h> Inheritance diagram for sc::Optimize: [legend]Collaboration diagram for sc::Optimize: [legend]List of all members. Public Methods   Optimize ()   Optimize (StateIn &)   Restore the state of a Function object.   Optimize (const Ref< KeyVal > &)   The KeyVal constructor reads the following information:. More... virtual  ~Optimize () void  save_data_state (StateOut &)   Save the base classes (with save_data_state) and the members in the same order that the StateIn CTOR initializes them. More... virtual int  optimize ()   Do the optimization. More... void  set_checkpoint ()   Set up for checkpointing. void  set_checkpoint_file (const char *) void  set_function (const Ref< Function > &)   Set the function to be optimized. void  set_max_iterations (int)   Set the iteration limit. virtual void  init ()   Initialize the optimizer. virtual int  update ()=0   Take a step. More... virtual void  apply_transform (const Ref< NonlinearTransform > &) Ref< Function >  function () const   Returns information about the Function being optimized. Ref< SCMatrixKit >  matrixkit () const RefSCDimension  dimension () const Protected Attributes int  max_iterations_ int  n_iterations_ int  ckpt_ int  print_timings_ double  max_stepsize_ char *  ckpt_file Ref< Function >  function_ Ref< Convergence >  conv_ Detailed Description The Optimize class is an abstract base class for classes that find the extreme points of Function's. Constructor & Destructor Documentation sc::Optimize::Optimize (  const Ref< KeyVal > &    )    The KeyVal constructor reads the following information:. checkpoint If true, the optimization will be checkpointed. The default is false. checkpoint_file The name of the checkpoint file. The name defaults to opt_ckpt.dat. max_iterations The maximum number of interations. The default is 10. max_stepsize The maximum stepsize. The default is 0.6. function A Function object. There is no default. convergence This can be either a floating point number or a Convergence object. If it is a floating point number then it is the convergence criterion. See the description Convergence class for the default. Member Function Documentation virtual int sc::Optimize::optimize (    )  [virtual]   Do the optimization. Returns nonzero if the optimization is complete. void sc::Optimize::save_data_state (  StateOut &    )  [virtual]   Save the base classes (with save_data_state) and the members in the same order that the StateIn CTOR initializes them. This must be implemented by the derived class if the class has data. Reimplemented from sc::SavableState. Reimplemented in sc::EFCOpt. virtual int sc::Optimize::update (    )  [pure virtual]   Take a step. Returns 1 if the optimization has converged, otherwise 0. Implemented in sc::EFCOpt. The documentation for this class was generated from the following file: opt.h