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Captureperfect 3.1 set max width





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5.3.3 Running PESTPP-XXX as Manager and Agent.4.18.1 Keyword and Consolidated Algorithmic Variables.4.18 Keyword and External File Control File Format.

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  • 4.17 Control Variables for PEST++ Programs.
  • 4.7 Singular Value Decomposition Section.
  • 3.3.6 Looking at Model Outputs under the Magnifying Glass.
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  • 3.3.5 How to Obtain Derivatives You Can Trust.
  • 3.3.4 Settings for Three-Point Derivatives.
  • 3.3.3 Parameter Increments for Two and Three-Point Derivatives.
  • 2.3.7 Multiple Occurrences of the Same Parameter.
  • 2.3.6 How a Parameter Space is Filled with a Number.
  • 2.3.5 Setting the Parameter Space Width.
  • 1.4.3 Differentiability of Model Outputs.
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    IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

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    Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: Programs of the PEST++ suite are distributed under the following license.

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    Anyone interested in encouraged to join us – the water is fine, jump in! License The PEST++ suite is still under active development. One member of the suite optimizes environmental system management in a modelling context that respects the (sometimes high) levels of uncertainty that accompany all model predictions. Their algorithms are capable of handling large numbers of parameters, of deploying advanced regularisation devices, and of exploring parameter and predictive uncertainty. Programs which comprise the PEST++ suite apply state-of-the-art methods to model calibration and exploration of post-calibration parameter and predictive uncertainty, and advanced management optimization under uncertainty techniques. They all employ a modular, fault-tolerant parallel run manager named.Ī theme that runs through all members of the PEST++ suite is that of adding value to environmental modelling as it is conducted in the decision-making context. Members of the PEST++ suite employ the same protocol for communicating with a model as PEST does. Chief among these is their ability to conduct many model runs in parallel on a single computer, over an office network, on a high performance cluster and on the computing cloud. The term “PEST++” describes a suite of programs which have certain things in common.

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    The present document serves as manual the current version of PEST++. At the same time, the ever-expanding functionality of the PyEMU suite (White et al, 2016) can facilitate use of PEST as it does the same for PEST++. In particular, many of the utility programs that comprise the PEST suite (including its ground and surface water utilities) can perform the same support roles for programs of the PEST++ suite that they do for PEST itself.

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    This, it is hoped, will promulgate conjunctive use of these two suites. Interoperability between programs of the PEST++ suite and those of the PEST suite has been greatly improved with the release of version 15 of PEST. On a personal note, thanks are also due to the following people who have contributed in the distant or more recent past to the development of the PEST++ suite, and to modelling education based on the PEST++ suite:Ĭhas Egan (Queensland Department of Environment and Science)Ĭhris Muffels (SS Papadopoulos and Associates) The original basis for the parallel run manager is PEST++ is based on the PANTHER run manager developed by Dave Welter and Chas Egan.

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    A little funding was also provided by the GMDSI project overseen by National Centre for Groundwater Research and Training and sponsored by BHP-Billiton and Rio Tinto. The writing of this manual, and improvements to the PEST++ parallel run manager, were funded by the Queensland Water Modelling Network. Further support for development of programs comprising the PEST++ suite was provided by the USGS, GNS Science (New Zealand), and Intera, Inc. Initial funding for the development of PEST++ was provided by the United States Geological Survey (USGS).







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