AMPL & Mosek: Precision Unleashed
MOSEK ApS provides optimization software that helps their clients make better decisions. Due to its powerful state-of-the-art simplex solver for linear problems and interior-point conic solver for quadratic and conic problems, MOSEK is widely employed in the technology, financial, energy and forestry industries.
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MOSEK, a high-performance solver developed by MOSEK ApS, a company based in Denmark, is renowned for its efficiency in solving large-scale mathematical optimization problems. It specializes in linear, quadratic, conic, mixed-integer, and convex optimization, catering to a wide array of sectors including finance, energy, telecommunications, and aerospace. Its ability to handle sparse matrix problems and large-scale optimization tasks makes it a preferred choice for both academic research and industrial applications. MOSEK’s robust performance, combined with its seamless integration with modeling languages and systems like AMPL, enables users to solve complex optimization problems with remarkable precision and speed. By offering advanced optimization capabilities, MOSEK empowers professionals and researchers to unlock innovative solutions and make informed, data-driven decisions, making it a pivotal tool in the field of optimization.
Linear, quadratic and conic problems in continuous and integer variables.
Convex quadratic expressions in objectives and constraints; conic quadratic constraints; disjunctive constraints
For continuous problems, primal and dual simplex, interior-point (barrier); for integer problems, advanced branch-and-bound with presolve, feasibility heuristics and cut generators.
Shared-memory parallel processing for barrier, branch-and-bound. Tools to access remote optimization servers. Special facilities for infeasibility diagnosis.