[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_234":235},"routes/_layout",{"_11":145},"routes/entity.$type.$id",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":19,"_20":21,"_22":23,"_24":-7,"_25":26},"dehydratedState",{"_58":59,"_60":61},"type","person","id","person_A5041725971","section","entity",{"_15":16,"_27":28,"_29":-5,"_30":-5,"_31":-5,"_32":-5,"_33":34,"_35":36,"_37":-5,"_38":39,"_40":41,"_42":43,"_44":45,"_46":-5,"_47":-5,"_48":-5,"_49":-5,"_50":-5,"_51":-5,"_52":-5,"_53":-5,"_54":-5,"_55":-5,"_56":28,"_57":-5},"canonical","https://www.hugmap.com/entity/person/person_A5041725971","siteBaseUrl","https://www.hugmap.com","sectionCount","jsonLd","{\"@context\":\"https://schema.org\",\"@graph\":[{\"name\":\"Thomas Petzoldt\",\"url\":\"https://www.hugmap.com/entity/person/person_A5041725971\",\"@type\":\"Person\",\"jobTitle\":null},{\"@type\":\"BreadcrumbList\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"首页\",\"item\":\"https://www.hugmap.com/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"人物\",\"item\":\"https://www.hugmap.com/search?type=person\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Thomas Petzoldt\",\"item\":\"https://www.hugmap.com/entity/person/person_A5041725971\"}]}]}","name","Thomas Petzoldt","nameZh","aliases","description","descriptionZh","status","active","externalIds","{\"openalex\":\"A5041725971\",\"orcid\":\"0000-0002-4951-6468\"}","properties","source","openalex","createdAt","2026-05-14T06:35:08.236259312","updatedAt","2026-05-23T08:26:25.268193497","orcid","0000-0002-4951-6468","title","affiliation","researchArea","paperCount","citationCount","homepage","linkedin","twitter","github","hindex","displayName","displayDescription","mutations",[],"queries",[62],{"_63":64,"_65":66,"_67":68,"_69":70},"dehydratedAt",1780499216542,"state",{"_72":73,"_74":75,"_76":64,"_77":-5,"_78":79,"_80":79,"_81":79,"_82":-5,"_83":-5,"_84":85,"_33":86,"_87":88},"queryKey",[71,18,14,16],"queryHash","[\"portal\",\"entity\",\"person\",\"person_A5041725971\"]","portal","data",{"_18":19,"_89":90,"_91":92,"_93":94,"_95":96,"_97":98,"_99":100,"_101":102},"dataUpdateCount",1,"dataUpdatedAt","error","errorUpdateCount",0,"errorUpdatedAt","fetchFailureCount","fetchFailureReason","fetchMeta","isInvalidated",false,"success","fetchStatus","idle","entityType","Person","taxonomies",[],"papers",[103,104],"companies",[],"events",[],"patents",[],"articles",[],{"_15":131,"_27":132,"_29":-5,"_30":-5,"_31":-5,"_32":-5,"_33":34,"_35":133,"_37":-5,"_38":39,"_40":134,"_42":135,"_110":136,"_111":-5,"_112":137,"_46":132,"_114":138,"_116":117,"_118":119,"_120":139,"_50":140,"_123":-5,"_124":141,"_126":-5,"_128":142,"_56":132,"_57":-5},{"_15":105,"_27":106,"_29":-5,"_30":-5,"_31":-5,"_32":-5,"_33":34,"_35":107,"_37":-5,"_38":39,"_40":108,"_42":109,"_110":-5,"_111":-5,"_112":113,"_46":106,"_114":115,"_116":117,"_118":119,"_120":121,"_50":122,"_123":-5,"_124":125,"_126":127,"_128":85,"_56":106,"_57":-5},"paper_W4387723339","","{\"openalex\":\"W4387723339\"}","2026-05-23T08:26:25.205331426","2026-05-23T08:26:25.205333049","doi","arxivId","openalexId","W4387723339","abstractText","In this paper we present the R package deSolve to solve initial value problems (IVP) written as ordinary differential equations (ODE), differential algebraic equations (DAE) of index 0 or 1 and partial differential equations (PDE), the latter solved using the method of lines approach. The differential equations can be represented in R code or as compiled code. In the latter case, R is used as a tool to trigger the integration and post-process the results, which facilitates model development and application, whilst the compiled code significantly increases simulation speed. The methods implemented are efficient, robust, and well documented public-domain Fortran routines. They include four integrators from the ODEPACK package (LSODE, LSODES, LSODA, LSODAR), DVODE and DASPK2.0. In addition, a suite of Runge-Kutta integrators and special-purpose solvers to efficiently integrate 1-, 2- and 3-dimensional partial differential equations are available. The routines solve both stiff and non-stiff systems, and include many options, e.g., to deal in an efficient way with the sparsity of the Jacobian matrix, or finding the root of equations. In this article, our objectives are threefold: (1) to demonstrate the potential of using R for dynamic modeling, (2) to highlight typical uses of the different methods implemented and (3) to compare the performance of models specified in R code and in compiled code for a number of test cases. These comparisons demonstrate that, if the use of loops is avoided, R code can efficiently integrate problems comprising several thousands of state variables. Nevertheless, the same problem may be solved from 2 to more than 50 times faster by using compiled code compared to an implementation using only R code. Still, amongst the benefits of R are a more flexible and interactive implementation, better readability of the code, and access to RâÂÂs high-level procedures. deSolve is the successor of package odesolve which will be deprecated in the future; it is free software and distributed under the GNU General Public License, as part of the R software project.","publishedDate","2010-01-01","publishedYear",2010,"venue","KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences)",220,"authors","keywords",[129,130],"pdfUrl","https://pure.knaw.nl/ws/files/462308/Soetaert_ea_4748.pdf","topVenue","Data Analysis with R","Simulation Techniques and Applications","paper_W2136829296","Solving Differential Equations inR: PackagedeSolve","{\"openalex\":\"W2136829296\",\"doi\":\"10.18637/jss.v033.i09\"}","2026-05-14T06:35:07.414140633","2026-05-21T08:59:11.187038966","10.18637/jss.v033.i09","W2136829296","In this paper we present the R package deSolve to solve initial value problems (IVP) written as ordinary differential equations (ODE), differential algebraic equations (DAE) of index 0 or 1 and partial differential equations (PDE), the latter solved using the method of lines approach. The differential equations can be represented in R code or as compiled code. In the latter case, R is used as a tool to trigger the integration and post-process the results, which facilitates model development and application, whilst the compiled code significantly increases simulation speed. The methods implemented are efficient, robust, and well documented public-domain Fortran routines. They include four integrators from the ODEPACK package (LSODE, LSODES, LSODA, LSODAR), DVODE and DASPK2.0. In addition, a suite of Runge-Kutta integrators and special-purpose solvers to efficiently integrate 1-, 2- and 3-dimensional partial differential equations are available. The routines solve both stiff and non-stiff systems, and include many options, e.g., to deal in an efficient way with the sparsity of the Jacobian matrix, or finding the root of equations. In this article, our objectives are threefold: (1) to demonstrate the potential of using R for dynamic modeling, (2) to highlight typical uses of the different methods implemented and (3) to compare the performance of models specified in R code and in compiled code for a number of test cases. These comparisons demonstrate that, if the use of loops is avoided, R code can efficiently integrate problems comprising several thousands of state variables. Nevertheless, the same problem may be solved from 2 to more than 50 times faster by using compiled code compared to an implementation using only R code. Still, amongst the benefits of R are a more flexible and interactive implementation, better readability of the code, and access to R’s high-level procedures. deSolve is the successor of package odesolve which will be deprecated in the future; it is free software and distributed under the GNU General Public License, as part of the R software project.","Journal of Statistical Software",1573,[143,144,130],true,"Numerical methods for differential equations","Modeling and Simulation Systems",{"_58":146,"_60":147},[],[148],{"_63":149,"_65":150,"_67":151,"_69":152},1780499215692,{"_72":154,"_74":75,"_76":149,"_77":-5,"_78":79,"_80":79,"_81":79,"_82":-5,"_83":-5,"_84":85,"_33":86,"_87":88},[71,153],"[\"portal\",\"industries\"]","industries",[155,156,157,158,159,160,161,162,163,164,165,166],{"_15":227,"_27":228,"_29":-5,"_30":229,"_31":230,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":170,"_40":-5,"_42":-5,"_171":172,"_173":-5,"_174":75,"_175":176,"_177":231,"_179":79,"_180":85,"_181":79,"_182":-5,"_56":228,"_57":230},{"_15":223,"_27":224,"_29":-5,"_30":-5,"_31":225,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":170,"_40":-5,"_42":-5,"_171":172,"_173":-5,"_174":75,"_175":176,"_177":226,"_179":79,"_180":85,"_181":79,"_182":-5,"_56":224,"_57":225},{"_15":217,"_27":218,"_29":-5,"_30":219,"_31":220,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":170,"_40":-5,"_42":-5,"_171":172,"_173":-5,"_174":75,"_175":176,"_177":221,"_179":79,"_180":85,"_181":79,"_182":-5,"_56":218,"_57":220},{"_15":213,"_27":214,"_29":-5,"_30":-5,"_31":215,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":170,"_40":-5,"_42":-5,"_171":172,"_173":-5,"_174":75,"_175":176,"_177":216,"_179":79,"_180":85,"_181":79,"_182":-5,"_56":214,"_57":215},{"_15":209,"_27":210,"_29":-5,"_30":-5,"_31":211,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":170,"_40":-5,"_42":-5,"_171":172,"_173":-5,"_174":75,"_175":176,"_177":212,"_179":79,"_180":85,"_181":79,"_182":-5,"_56":210,"_57":211},{"_15":203,"_27":204,"_29":-5,"_30":205,"_31":206,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":170,"_40":-5,"_42":-5,"_171":172,"_173":-5,"_174":75,"_175":176,"_177":207,"_179":79,"_180":85,"_181":79,"_182":-5,"_56":204,"_57":206},{"_15":199,"_27":200,"_29":-5,"_30":-5,"_31":201,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":170,"_40":-5,"_42":-5,"_171":172,"_173":-5,"_174":75,"_175":176,"_177":202,"_179":79,"_180":142,"_181":79,"_182":-5,"_56":200,"_57":201},{"_15":195,"_27":196,"_29":-5,"_30":-5,"_31":197,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":170,"_40":-5,"_42":-5,"_171":172,"_173":-5,"_174":75,"_175":176,"_177":198,"_179":79,"_180":85,"_181":79,"_182":-5,"_56":196,"_57":197},{"_15":191,"_27":192,"_29":-5,"_30":-5,"_31":193,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":170,"_40":-5,"_42":-5,"_171":172,"_173":-5,"_174":75,"_175":176,"_177":194,"_179":79,"_180":85,"_181":79,"_182":-5,"_56":192,"_57":193},{"_15":187,"_27":188,"_29":-5,"_30":-5,"_31":189,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":170,"_40":-5,"_42":-5,"_171":172,"_173":-5,"_174":75,"_175":176,"_177":190,"_179":79,"_180":85,"_181":79,"_182":-5,"_56":188,"_57":189},{"_15":183,"_27":184,"_29":-5,"_30":-5,"_31":185,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":170,"_40":-5,"_42":-5,"_171":172,"_173":-5,"_174":75,"_175":176,"_177":186,"_179":79,"_180":85,"_181":79,"_182":-5,"_56":184,"_57":185},{"_15":167,"_27":168,"_29":-5,"_30":-5,"_31":169,"_32":-5,"_33":34,"_35":-5,"_37":-5,"_38":170,"_40":-5,"_42":-5,"_171":172,"_173":-5,"_174":75,"_175":176,"_177":178,"_179":79,"_180":85,"_181":79,"_182":-5,"_56":168,"_57":169},"tax_ind_smartphone","智能手机","Smartphone","manual","taxonomyType","INDUSTRY","code","level","parentId","tax_ind_root","path","科技行业/智能手机","sortOrder","isLeaf","entityCount","children","tax_ind_robot","机器人","Robotics","科技行业/机器人","tax_ind_wearable","智能穿戴","Smart Wearables","科技行业/智能穿戴","tax_ind_energy","新能源与智能制造","New Energy & Smart Manufacturing","科技行业/新能源与智能制造","tax_ind_biotech","生物科技","Biotech","科技行业/生物科技","tax_ind_quantum","量子计算","Quantum Computing","科技行业/量子计算","tax_ind_blockchain","区块链",[208],"Blockchain","科技行业/区块链","Web3","tax_ind_enterprise","企业软件","Enterprise Software","科技行业/企业软件","tax_ind_security","网络安全","Cybersecurity","科技行业/网络安全","tax_ind_semi","半导体",[222],"Semiconductor","科技行业/半导体","芯片","tax_ind_cloud","云计算","Cloud Computing","科技行业/云计算","tax_ind_ai","人工智能",[232,233],"Artificial Intelligence","科技行业/人工智能","AI","AI 技术","env",{"_236":23},"SITE_BASE_URL"]

Thomas Petzoldt 人物

相关论文查看全部 (2)

相关公司

相关事件

相关专利

相关文章