{"id":22559677,"url":"https://github.com/bharathvariar/applied-stochastic-processes","last_synced_at":"2025-03-28T12:12:10.993Z","repository":{"id":101183202,"uuid":"544754515","full_name":"bharathvariar/Applied-Stochastic-Processes","owner":"bharathvariar","description":"Projects done towards submission for course MATH F424: Applied Stochastic Processes","archived":false,"fork":false,"pushed_at":"2022-12-09T05:40:37.000Z","size":2753,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-02T12:35:49.175Z","etag":null,"topics":["derangements","markov-chain","probability","stochastic-processes"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/bharathvariar.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}},"created_at":"2022-10-03T06:57:43.000Z","updated_at":"2024-03-14T23:23:36.000Z","dependencies_parsed_at":null,"dependency_job_id":"c0d9e594-79ac-4d27-b3ff-2e715ee1e9af","html_url":"https://github.com/bharathvariar/Applied-Stochastic-Processes","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bharathvariar%2FApplied-Stochastic-Processes","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bharathvariar%2FApplied-Stochastic-Processes/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bharathvariar%2FApplied-Stochastic-Processes/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bharathvariar%2FApplied-Stochastic-Processes/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/bharathvariar","download_url":"https://codeload.github.com/bharathvariar/Applied-Stochastic-Processes/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246026110,"owners_count":20711581,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["derangements","markov-chain","probability","stochastic-processes"],"created_at":"2024-12-07T21:07:56.581Z","updated_at":"2025-03-28T12:12:10.985Z","avatar_url":"https://github.com/bharathvariar.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Derangements\n\n## Part I: Derangements\nIn this part, I try to develop an algorithm that computes the probability of a derangement in a collection of N-items and then implement the algorithm in python3. \nI also derive the recurrance relation for the number of derangements and use the same to generate a sequence of derangements. I also briefly look into the convergence of the probability of derangment for a large collection of objects.\n\n## Part II: Matrices and Markov Chains\nI have used python3 to generate stochastic matrixes and check for their regularity upto any given upper bound. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbharathvariar%2Fapplied-stochastic-processes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbharathvariar%2Fapplied-stochastic-processes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbharathvariar%2Fapplied-stochastic-processes/lists"}