{"id":19863616,"url":"https://github.com/sandialabs/hamiltonianopinf","last_synced_at":"2026-03-05T23:33:34.294Z","repository":{"id":160165892,"uuid":"618924638","full_name":"sandialabs/HamiltonianOpInf","owner":"sandialabs","description":"This repo contains files for reproducing results in the following paper:Canonical and Noncanonical Hamiltonian Operator Inference","archived":false,"fork":false,"pushed_at":"2025-05-19T20:24:42.000Z","size":12647,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-05-19T21:31:54.690Z","etag":null,"topics":["scr-2917","snl-data-analysis"],"latest_commit_sha":null,"homepage":"","language":"Objective-C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sandialabs.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2023-03-25T18:39:01.000Z","updated_at":"2025-05-01T19:50:45.000Z","dependencies_parsed_at":"2025-05-01T20:38:16.206Z","dependency_job_id":null,"html_url":"https://github.com/sandialabs/HamiltonianOpInf","commit_stats":null,"previous_names":["sandialabs/hamiltonianopinf"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/sandialabs/HamiltonianOpInf","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sandialabs%2FHamiltonianOpInf","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sandialabs%2FHamiltonianOpInf/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sandialabs%2FHamiltonianOpInf/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sandialabs%2FHamiltonianOpInf/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sandialabs","download_url":"https://codeload.github.com/sandialabs/HamiltonianOpInf/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sandialabs%2FHamiltonianOpInf/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30155314,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-05T22:39:40.138Z","status":"ssl_error","status_checked_at":"2026-03-05T22:39:24.771Z","response_time":93,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["scr-2917","snl-data-analysis"],"created_at":"2024-11-12T15:15:32.039Z","updated_at":"2026-03-05T23:33:34.273Z","avatar_url":"https://github.com/sandialabs.png","language":"Objective-C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"This repo contains branches with files needed to reproduce results in the following papers: \n\nA. Gruber, I. Tezaur.  \"Canonical and Noncanonical Hamiltonian Operator Inference\", CMAME 2023.\n\nA. Gruber, I. Tezaur.  \"Variationally Consistent Hamiltonian Model Reduction\", SIADS 2024.\n\nBranch \"master\" corresponds to the CMAME paper and branch \"var-consistent\" corresponds to the SIADS paper.  Codes in these branches are not cross-compatible (sorry).\n\nThe various .ipynb/.py files can be run straight down to reproduce the results in the papers.  The *_utils.py files contain the source code for the method.\n\nThis data has been approved for external release with SAND number: SAND2023-01206O.\nThis code was released with DOE's permission under SCR#:2917.0.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsandialabs%2Fhamiltonianopinf","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsandialabs%2Fhamiltonianopinf","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsandialabs%2Fhamiltonianopinf/lists"}