Item talk:Q59170

{

 "USGS Publications Warehouse": {
   "schema": {
     "@context": "https://schema.org",
     "@type": "CreativeWork",
     "additionalType": "USGS Numbered Series",
     "name": "Approaches in highly parameterized inversion\u2014PEST++ Version 3, a Parameter ESTimation and uncertainty analysis software suite optimized for large environmental models",
     "identifier": [
       {
         "@type": "PropertyValue",
         "propertyID": "USGS Publications Warehouse IndexID",
         "value": "tm7C12",
         "url": "https://pubs.usgs.gov/publication/tm7C12"
       },
       {
         "@type": "PropertyValue",
         "propertyID": "USGS Publications Warehouse Internal ID",
         "value": 70155178
       },
       {
         "@type": "PropertyValue",
         "propertyID": "DOI",
         "value": "10.3133/tm7C12",
         "url": "https://doi.org/10.3133/tm7C12"
       }
     ],
     "inLanguage": "en",
     "isPartOf": [
       {
         "@type": "CreativeWorkSeries",
         "name": "Techniques and Methods"
       }
     ],
     "datePublished": "2015",
     "dateModified": "2017-06-06",
     "abstract": "The PEST++ Version 1 object-oriented parameter estimation code is here extended to Version 3 to incorporate additional algorithms and tools to further improve support for large and complex environmental modeling problems. PEST++ Version 3 includes the Gauss-Marquardt-Levenberg (GML) algorithm for nonlinear parameter estimation, Tikhonov regularization, integrated linear-based uncertainty quantification, options of integrated TCP/IP based parallel run management or external independent run management by use of a Version 2 update of the GENIE Version 1 software code, and utilities for global sensitivity analyses. The Version 3 code design is consistent with PEST++ Version 1 and continues to be designed to lower the barriers of entry for users as well as developers while providing efficient and optimized algorithms capable of accommodating large, highly parameterized inverse problems. As such, this effort continues the original focus of (1) implementing the most popular and powerful features of the PEST software suite in a fashion that is easy for novice or experienced modelers to use and (2) developing a software framework that is easy to extend.\nThe PEST++ Version 3 software suite can be compiled for Microsoft Windows\u00ae4 and Linux\u00ae5 operating systems; the source code is available in a Microsoft Visual Studio\u00ae6 2013 solution; Linux Makefiles are also provided. PEST++ Version 3 continues to build a foundation for an open-source framework capable of producing robust and efficient parameter estimation tools for large environmental models.",
     "description": "v, 54 p.",
     "publisher": {
       "@type": "Organization",
       "name": "U.S. Geological Survey"
     },
     "author": [
       {
         "@type": "Person",
         "name": "Hunt, Randall J. rjhunt@usgs.gov",
         "givenName": "Randall J.",
         "familyName": "Hunt",
         "email": "rjhunt@usgs.gov",
         "identifier": {
           "@type": "PropertyValue",
           "propertyID": "ORCID",
           "value": "0000-0001-6465-9304",
           "url": "https://orcid.org/0000-0001-6465-9304"
         },
         "affiliation": [
           {
             "@type": "Organization",
             "name": "Wisconsin Water Science Center",
             "url": "https://www.usgs.gov/centers/upper-midwest-water-science-center"
           }
         ]
       },
       {
         "@type": "Person",
         "name": "Welter, David E.",
         "givenName": "David E.",
         "familyName": "Welter",
         "affiliation": [
           {
             "@type": "Organization",
             "name": "Computational Water Resource Engineering"
           }
         ]
       },
       {
         "@type": "Person",
         "name": "White, Jeremy T. jwhite@usgs.gov",
         "givenName": "Jeremy T.",
         "familyName": "White",
         "email": "jwhite@usgs.gov",
         "affiliation": [
           {
             "@type": "Organization",
             "name": "FLWSC-Tampa",
             "url": "https://www.usgs.gov/centers/car-fl-water"
           }
         ]
       },
       {
         "@type": "Person",
         "name": "Doherty, John E.",
         "givenName": "John E.",
         "familyName": "Doherty",
         "affiliation": [
           {
             "@type": "Organization",
             "name": "Watermark Numerical Computing"
           }
         ]
       }
     ],
     "funder": [
       {
         "@type": "Organization",
         "name": "Wisconsin Water Science Center",
         "url": "https://www.usgs.gov/centers/upper-midwest-water-science-center"
       }
     ]
   }
 }

}