{"name":"python312Packages.casadi","version":"3.6.6","summary":"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","systems":{"aarch64-darwin":{"flake_installable":{"ref":{"type":"github","owner":"NixOS","repo":"nixpkgs","rev":"ca30f584e18024baf39c395001262ed936f27ebd"},"attr_path":"python312Packages.casadi"},"last_updated":"2024-10-20T12:41:22Z","outputs":[{"name":"out","path":"/nix/store/q0zi02v131ah8xxai7s504bkjnb3qddd-casadi-3.6.6","default":true}]},"aarch64-linux":{"flake_installable":{"ref":{"type":"github","owner":"NixOS","repo":"nixpkgs","rev":"ca30f584e18024baf39c395001262ed936f27ebd"},"attr_path":"python312Packages.casadi"},"last_updated":"2024-10-20T12:41:22Z","outputs":[{"name":"out","path":"/nix/store/xnlm0vx5kw9hd9vg85qp4n5c1cs67dnk-casadi-3.6.6","default":true}]},"x86_64-darwin":{"flake_installable":{"ref":{"type":"github","owner":"NixOS","repo":"nixpkgs","rev":"ca30f584e18024baf39c395001262ed936f27ebd"},"attr_path":"python312Packages.casadi"},"last_updated":"2024-10-20T12:41:22Z","outputs":[{"name":"out","path":"/nix/store/4p9k05v4zdl0s4a1in2ynyd2gxlfpf9l-casadi-3.6.6","default":true}]},"x86_64-linux":{"flake_installable":{"ref":{"type":"github","owner":"NixOS","repo":"nixpkgs","rev":"ca30f584e18024baf39c395001262ed936f27ebd"},"attr_path":"python312Packages.casadi"},"last_updated":"2024-10-20T12:41:22Z","outputs":[{"name":"out","path":"/nix/store/s8464j9gqx9mdi236h9csrv0mzfzdqj4-casadi-3.6.6","default":true}]}}}