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Software packages for linear programming are widely available and are in frequent use for problems in manufacturing, investment, farming, transportation, and government. Typical large-scale problems involve thousands of decision variables and thousands of constraints. There are many well-documented cases ...
It’s a computationally intensive tool, but the advances in computer hardware and software make it more applicable every day. Often, when people try to formulate and solve an optimization problem, the first question is whether they can apply linear programming or mixed-integer linear programming. ...
Today we will try to answer the question ‘What is the bestsoftwarefor linear programming?‘ Well, Linear Programming (LP) is, in general, demanding and time-consuming. This is perhaps the reason why it has taken developers an eternity to create linear programming software. But things seem to...
Linear programming solver Gipals32 opens new horizons for software developmentDenis Smirnov
SDPT3 version 4.0: MATLAB/Octave software for semidefinite-quadratic-linear programming Click hereto download the latest SDPT3 bundle. These bundles now include pre-compiled MATLAB and Octave MEX files files for Windows, Linux, and macOS (Intel and Apple Silicon). ...
These issues can be a problem with Linear Programming packages that typically use inexact floating-point arithmetic. As with the steady-state model, we claim that our more sophisticated machinery-duplicating model over-approximates observable behavior and justify the claim with a molecule-counting ...
PaPILO, a C++14-based software package, provides parallel presolve routines for (mixed integer) linear programming problems. The routines are implemented using templates which allows switching to higher precision or rational arithmetic using the boost multiprecision package. ...
4. Software framework PyLops’ goal is to provide an easy-to-use Application Programming Interface (API) to create and solve inverse problems by means of linear operators and express them in a way that mimics as closely as possible the mathematical linear algebra formalism used to describe the ...
The meta problem is parametrised by the type of invariants and targets that are considered; that is, what are the classes of allowable invariant setsIand target setsY, or equivalently how are such sets allowed to be expressed? Fixing particular invariant and target domains, a reachability query...