What's new in
        lrslib               
        May 30, 2024
      
      
    
What's new in Version 7.3
    
    What's new in Version 7.2
    
    What's new in Version 7.1 
    
    What's new in Version 6.2    
      (User's
        guide for V6.2 and earlier)
    What's new in Version 6.1
     
    What's new in Version 6.0
      
What's
        new in version 7.3
      
      1. For H/V conversion lrs is now
      multi-threaded (no load balancing) using openMP
      2. A minimum representation can be computed: hidden linearities
      found and made explicit, all redundancy removed
      3. mplrs -minrep does full
      parallelization for finding a minimum representation
      4. mplrs -fel does full parallel
      redundancy removal in one step of Fourier-Motzkin elimination
      
      
      
      What's New in Version 7.2
      
      1. Fourier
        elimination is now included in lrs/mplrs
      2. lrs now runs in 4 modes depending on presence of options: 
      default: H/V to V/H conversion
      redund: 
      remove redundant lines in input
      extract:
      remove linearities for H, extract columns for V
      project/eliminate:
      fourier elimination
      3. checkpred/projred
      checks for redundancy of halfspaces in the projection of an
      H-representation using an SMT solver
      4. mplrs renumbers B# when printcobasis is set in lrs causing
      global B# numbers to be output
      5. maxdepth lrs option implemented in mplrs
      6. various shell scripts are now in the scripts directory
         plotB produces a plot from mplrs output showing B#
      and height for each new vertex/ray/facet output
      7. man pages (groff and html versions) are included for most
      lrslib operations
    
    What's New in Version 7.1
    1. All C version replaces Version 7.0 (which was a work in progress
    and has been removed from distribution)
    2. redund programs are replaced by
    an option in mplrs/lrs with parallel version now available
    3. hybrid (64bit/128bit/GMP) arithmetic implemented: speedups of
    roughly 3-5 times (64bit) and 2 times(128bit) over GMP arithmetic
    for problems using small integers. 
    4. overflow checking for 64/128 bit arithmetic
    5. __int128 (gcc v.4.6.0 or later) and FLINT arithmetic now
    supported 
    6. lrsgmp, mplrsgmp uses only GMP
    arithmetic, same as lrslib-062
    7. lrs/mplrs  start in 64 bit
    moving to 128 bit and then to gmp arithmetic as necessary
    8. single arithmetic versions  (64bit/128bit/GMP) of lrs/mplrs available for comparison purposes
    9. single arithmetic versions of lrsnash
    are available with overflow checking
    10. extract option in lrs (only)
    can be used to eliminate variables in
    H-representation and extract columns
    in a V-representation
    11. hvref program makes a cross reference list between H and V
    representations
    12. lponly option
    extended to include four different pivot rules: Dantzig, Bland,
    random edge and combined Dantzig/random edge
    13. Communication between mplrs and lrs is by data structures rather
    than temporary files
    14. plrs is no longer supported
    15. removing the -DSAFE option disables overflow checking in 64/128
    bit mode and results are unpredicable if overflow occurs
    16. mplrs now prints maximum tree
    depth at end and supports printcobasis option in input files
    
    
    
    What's New in Version 6.2
    
    mplrs:   new command-line options,
    improved performance on large-output instances, volume output added
    
    What's New in Version 6.1
    lrs: memory leaks fixed
    mplrs: checkpointing after
      restart fixed
    nash: new version of nash driver and new nash library,
      mostly by Terje Lensberg, memory leak and earlier bug in nash
      fixed
    
    
    What's New in Version 6.0
     mplrs: C wrapper prepared
      by Skip Jordan for lrs that allows for parallelization using the
      MPI library over a network of multi-core machines. It is derived
      from Gary Roumanis' earlier C++ wrapper plrs. 
      mplrs includes many
      modifications to ensure load balancing. 
    
    Installation and usage are described here.
      
    
    plrs is designed for shared
      memory machines and should improve on lrs
      even on dual core machines. mplrs
      is designed for machines and/or networks with at least 4
      processors. (plrs is discontinued from
        Version 7.1)
    
     Some additonal options were added to lrs in order to help with load
      balancing, in particular maxc