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/cuopt-numerical-optimization-api

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LP, MILP, and QP (beta) with cuOpt — Python, C, and CLI. Use when the user is solving LP, MILP, or QP with any cuOpt interface.

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Use this Skill: https://skilld.dev/gh/nvidia/skills/cuopt-numerical-optimization-api

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assetscmps_solverREADME.md

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Read and solve LP/MILP from a standard MPS file using cuOptReadProblem.

Build: With cuOpt on INCLUDE_PATH and LIB_PATH:

gcc -I${INCLUDE_PATH} -L${LIB_PATH} -o mps_solver mps_solver.c -lcuopt
LD_LIBRARY_PATH=${LIB_PATH}:$LD_LIBRARY_PATH ./mps_solver data/sample.mps

Data: data/sample.mps is a small LP (two variables, two constraints). Use any MPS file path as the first argument.

See also: references/examples.md; repo example docs/cuopt/source/cuopt-c/lp-qp-milp/examples/mps_file_example.c.

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The skill provides a comprehensive environment for modeling and solving optimization problems using the NVIDIA cuOpt library. It includes well-documented examples and reference implementations for Python, C, and CLI interfaces. Security analysis identified a remote data download from a reputable academic source and standard data ingestion patterns for optimization files, neither of which present malicious risk.
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Signed by skilld at e0cd22d. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

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Activeupdated 2 months ago

Other metadata

metadata: { "author": "NVIDIA cuOpt Team", "tags": [ "cuopt", "linear-programming", "milp", "qp", "python", "c-api", "cli" ] }