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CasADi is a symbolic framework for numeric optimization

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

Version: 3.3.0 License: LGPL-3 GitHub
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14 build(s) found
Builder Build Number Start Time Elapsed Time Watcher Build Status
15 14310 2024-10-15 8:59:49 0:01:28 1630 build successful
14.arm64 15574 2024-01-29 2:16:29 0:01:01 4884 build successful
14 20654 2023-12-24 7:20:05 0:04:17 3447 build successful
13.arm64 12229 2023-03-09 14:46:38 0:01:06 4269 build successful
13 14716 2023-01-13 9:39:02 0:03:04 2045 build successful
12 13452 2022-01-13 4:51:10 0:03:21 3384 build successful
12.arm64 15766 2021-11-15 8:13:18 0:01:15 1071 build successful
11 11564 2021-01-02 14:25:08 0:05:17 1556 build successful
11.arm64 6977 2021-01-02 12:44:36 0:01:56 1653 build successful
10.6.x86_64 16871 2020-01-27 5:50:39 0:10:49 3743 build successful
10.6 8655 2020-01-27 4:44:36 0:11:12 3758 build successful
10.8 14160 2020-01-27 3:33:00 0:04:01 3731 build successful
10.7 15653 2020-01-27 3:22:17 0:03:32 3734 build successful
10.15 19118 2020-01-04 19:45:48 0:04:28 1831 build successful