Provided by: sdpb_1.0-4ubuntu1_amd64 bug

NAME

       sdpb - Semidefinite program solver

SYNOPSIS

       sdpb [OPTIONS] [SOLVER PARAMETERS]

DESCRIPTION

       ERROR: the option '--sdpFile' is required but missing

   Basic options:
       -h [ --help ]
              Show this helpful message.

       -s [ --sdpFile ] arg
              SDP data file in XML format.

       -p [ --paramFile ] arg
              Any parameter can optionally be set via this file in key=value format. Command line
              arguments override values in the parameter file.

       -o [ --outFile ] arg
              The optimal solution is saved to this  file  in  Mathematica  format.  Defaults  to
              sdpFile with '.out' extension.

       -c [ --checkpointFile ] arg
              Checkpoints  are  saved  to this file every checkpointInterval. Defaults to sdpFile
              with '.ck' extension.

   Solver parameters:
       --precision arg (=400)
              Precision in binary digits.  GMP will round up to the nearest multiple of 64 (or 32
              on older systems).

       --maxThreads arg (=4)
              Maximum number of threads to use for parallel calculation.

       --checkpointInterval arg (=3600)
              Save checkpoints to checkpointFile every checkpointInterval seconds.

       --noFinalCheckpoint
              Don't save a final checkpoint after terminating (useful when debugging).

       --findPrimalFeasible
              Terminate once a primal feasible solution is found.

       --findDualFeasible
              Terminate once a dual feasible solution is found.

       --detectPrimalFeasibleJump
              Terminate  if  a  primal-step  of  1  is  taken. This often indicates that a primal
              feasible solution would be found if the precision were high enough. Try  increasing
              either primalErrorThreshold or precision and run from the latest checkpoint.

       --detectDualFeasibleJump
              Terminate  if a dual-step of 1 is taken.  This often indicates that a dual feasible
              solution would be found if the precision were high enough.  Try  increasing  either
              dualErrorThreshold or precision and run from the latest checkpoint.

       --maxIterations arg (=500)
              Maximum number of iterations to run the solver.

       --maxRuntime arg (=86400)
              Maximum amount of time to run the solver in seconds.

       --dualityGapThreshold arg (=1e-30)
              Threshold  for duality gap (roughly the difference in primal and dual objective) at
              which the solution is considered optimal. Corresponds to SDPA's epsilonStar.

       --primalErrorThreshold arg (=1e-30)
              Threshold for feasibility of the primal problem. Corresponds to SDPA's epsilonBar.

       --dualErrorThreshold arg (=1e-30)
              Threshold for feasibility of the dual problem. Corresponds to SDPA's epsilonBar.

       --initialMatrixScalePrimal arg (=1e+20)
              The primal matrix X begins at initialMatrixScalePrimal times the  identity  matrix.
              Corresponds to SDPA's lambdaStar.

       --initialMatrixScaleDual arg (=1e+20) The dual matrix Y begins at
              initialMatrixScaleDual times the identity matrix. Corresponds to SDPA's lambdaStar.

       --feasibleCenteringParameter arg (=0.1)
              Shrink the complementarity X Y by this factor when the primal and dual problems are
              feasible. Corresponds to SDPA's betaStar.

       --infeasibleCenteringParameter arg (=0.3)
              Shrink the complementarity X Y by this  factor  when  either  the  primal  or  dual
              problems are infeasible. Corresponds to SDPA's betaBar.

       --stepLengthReduction arg (=0.7)
              Shrink  each  newton  step  by  this  factor  (smaller  means  slower,  more stable
              convergence). Corresponds to SDPA's gammaStar.

       --choleskyStabilizeThreshold arg (=1e-40)
              Adds stabilizing terms to the cholesky decomposition of the schur complement matrix
              for diagonal entries which are smaller than this threshold times the geometric mean
              of other diagonal entries. Somewhat higher choleskyStabilizeThreshold  can  improve
              numerical  stability but if the threshold is large enough that a high proportion of
              eigenvalues are being stabilized, the computation will slow substantially.

       --maxComplementarity arg (=1e+100)
              Terminate if the complementarity mu = Tr(X Y)/dim(X) exceeds this value.

EXAMPLES

       The  example  files  are  contained  in  the  package  sdpb-doc  and  can  be   found   at
       /usr/share/doc/sdpb-doc/examples/.

       The  input  format for SDPB is XML-based and described in the manual. The Mathematica file
       mathematica/SDPB.m includes code to export semidefinite programs  in  this  format,  along
       with some examples. An example input file test.xml is included as well.

       Two python wrappers for SDPB are also available:

           PyCFTBoot by Connor Behan (arXiv:1602.02810)
           cboot by Tomoki Ohtsuki (arXiv:1602.07295).

SEE ALSO

       The SDPB manual and the README file are contained in the package sdpb-doc and can be found
       at /usr/share/doc/sdpb-doc/.

       The full documentation for sdpb is maintained as a Texinfo manual.  If the info  and  sdpb
       programs are properly installed at your site, the command

              info sdpb

       should give you access to the complete manual.

AUTHOR

        This manpage was written by Nilesh Patra for the Debian distribution and
        can be used for any other usage of the program.