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2. List of optimization software - Wikipedia

   en.wikipedia.org/wiki/List_of_optimization_software

   The use of optimization software requires that the function f is defined in a suitable programming language and connected at compilation or run time to the optimization software. The optimization software will deliver input values in A , the software module realizing f will deliver the computed value f ( x ) and, in some cases, additional ...

3. Integer programming - Wikipedia

   en.wikipedia.org/wiki/Integer_programming

   An integer programming problem is a mathematical optimization or feasibility program in which some or all of the variables are restricted to be integers. In many settings the term refers to integer linear programming (ILP), in which the objective function and the constraints (other than the integer constraints) are linear .

4. HiGHS optimization solver - Wikipedia

   en.wikipedia.org/wiki/HiGHS_optimization_solver

   HiGHS is open-source software to solve linear programming (LP), mixed-integer programming (MIP), and convex quadratic programming (QP) models. [1] Written in C++ and published under an MIT license, HiGHS provides programming interfaces to C, Python, Julia, Rust, R, JavaScript, Fortran, and C#. It has no external dependencies.

5. Comparison of optimization software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_optimization...

   The optimization software will deliver input values in A, the software module realizing f will deliver the computed value f(x). In this manner, a clear separation of concerns is obtained: different optimization software modules can be easily tested on the same function f, or a given optimization software can be used for different functions f.

6. OR-Tools - Wikipedia

   en.wikipedia.org/wiki/OR-Tools

   Google OR-Tools is a free and open-source software suite developed by Google for solving linear programming (LP), mixed integer programming (MIP), constraint programming (CP), vehicle routing (VRP), and related optimization problems. [3] OR-Tools is a set of components written in C++ but provides wrappers for Java, .NET and Python.

7. CPLEX - Wikipedia

   en.wikipedia.org/wiki/CPLEX

   The IBM ILOG CPLEX Optimizer solves integer programming problems, very large [3] linear programming problems using either primal or dual variants of the simplex method or the barrier interior point method, convex and non-convex quadratic programming problems, and convex quadratically constrained problems (solved via second-order cone programming, or SOCP).

8. List of arbitrary-precision arithmetic software - Wikipedia

   en.wikipedia.org/wiki/List_of_arbitrary...

   Programming languages that support arbitrary precision computations, either built-in, or in the standard library of the language: Ada: the upcoming Ada 202x revision adds the Ada.Numerics.Big_Numbers.Big_Integers and Ada.Numerics.Big_Numbers.Big_Reals packages to the standard library, providing arbitrary precision integers and real numbers.

9. COIN-OR - Wikipedia

   en.wikipedia.org/wiki/COIN-OR

   The COIN-OR website was launched as an experiment in 2000, in conjunction with 17th International Symposium on Math Programming in Atlanta, Georgia. In 2007, COIN-OR had 25 application projects, [ 1 ] including tools for linear programming (e.g., COIN-OR CLP ), nonlinear programming (e.g., IPOPT ), integer programming (e.g., CBC, Bcp and COIN ...