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.

sdpb 1.0                                          February 2021                                          SDPB(1)