The Experts below are selected from a list of 423 Experts worldwide ranked by ideXlab platform

Woodrow R. Setzer - One of the best experts on this subject based on the ideXlab platform.

  • Computational Toxicology Germany US Environmental Protection Agency
    2010
    Co-Authors: Karline Soetaert, Centre For, Thomas Petzoldt, Woodrow R. Setzer
    Abstract:

    R package deSolve (Soetaert, Petzoldt, and Setzer 2010a,b) the successor of R package odesolve is a package to solve initial value problems (IVP) of: ˆ ordinary differential equations (ODE), ˆ differential algebraic equations (DAE) and ˆ partial differential equations (PDE). ˆ delay differential equations (DeDE). The implementation includes stiff integration routines based on the ODEPACK FOR-TRAN codes (Hindmarsh 1983). It also includes fixed and adative time-step Runge-Kutta solvers and the Euler method (Press, Teukolsky, Vetterling, and Flannery 1992). In this vignette we outline how to implement differential equations as R-functions. Another vignette (“compiledCode”) (Petzoldt and Setzer 2008), deals with differential equations implemented in lower-level languages such as FORTRAN, C, or C++, which are compiled into a dynamically linked library (DLL) and loaded into R. R (R Developmen

  • Computational Toxicology Germany US Environmental Protection Agency
    2010
    Co-Authors: Karline Soetaert, Centre For, Thomas Petzoldt, Woodrow R. Setzer
    Abstract:

    R package deSolve (Soetaert, Petzoldt, and Setzer 2009), the successor of R package odesolve is a package to solve initial value problems (IVP) of: • ordinary differential equations (ODE), • differential algebraic equations (DAE) and • partial differential equations (PDE). The implementation includes stiff integration routines based on the ODEPACK FOR-TRAN codes (Hindmarsh 1983). It also includes fixed and adative time-step Runge-Kutta solvers and the Euler method (Press, Teukolsky, Vetterling, and Flannery 1992). In this vignette we outline how to implement differential equations as R-functions. Another vignette (“compiledCode”) (Soetaert and Setzer 2008), deals with differential equations implemented in lower-level languages such as FORTRAN, C, or C++, which are compiled into a dynamically linked library (DLL) and loaded into R. R (R Development Core Team 2008). Keywords:˜differential equations, ordinary differential equations, differential algebraic equations

Karline Soetaert - One of the best experts on this subject based on the ideXlab platform.

  • Computational Toxicology Germany US Environmental Protection Agency
    2010
    Co-Authors: Karline Soetaert, Centre For, Thomas Petzoldt, Woodrow R. Setzer
    Abstract:

    R package deSolve (Soetaert, Petzoldt, and Setzer 2010a,b) the successor of R package odesolve is a package to solve initial value problems (IVP) of: ˆ ordinary differential equations (ODE), ˆ differential algebraic equations (DAE) and ˆ partial differential equations (PDE). ˆ delay differential equations (DeDE). The implementation includes stiff integration routines based on the ODEPACK FOR-TRAN codes (Hindmarsh 1983). It also includes fixed and adative time-step Runge-Kutta solvers and the Euler method (Press, Teukolsky, Vetterling, and Flannery 1992). In this vignette we outline how to implement differential equations as R-functions. Another vignette (“compiledCode”) (Petzoldt and Setzer 2008), deals with differential equations implemented in lower-level languages such as FORTRAN, C, or C++, which are compiled into a dynamically linked library (DLL) and loaded into R. R (R Developmen

  • Computational Toxicology Germany US Environmental Protection Agency
    2010
    Co-Authors: Karline Soetaert, Centre For, Thomas Petzoldt, Woodrow R. Setzer
    Abstract:

    R package deSolve (Soetaert, Petzoldt, and Setzer 2009), the successor of R package odesolve is a package to solve initial value problems (IVP) of: • ordinary differential equations (ODE), • differential algebraic equations (DAE) and • partial differential equations (PDE). The implementation includes stiff integration routines based on the ODEPACK FOR-TRAN codes (Hindmarsh 1983). It also includes fixed and adative time-step Runge-Kutta solvers and the Euler method (Press, Teukolsky, Vetterling, and Flannery 1992). In this vignette we outline how to implement differential equations as R-functions. Another vignette (“compiledCode”) (Soetaert and Setzer 2008), deals with differential equations implemented in lower-level languages such as FORTRAN, C, or C++, which are compiled into a dynamically linked library (DLL) and loaded into R. R (R Development Core Team 2008). Keywords:˜differential equations, ordinary differential equations, differential algebraic equations

Centre For - One of the best experts on this subject based on the ideXlab platform.

  • Computational Toxicology Germany US Environmental Protection Agency
    2010
    Co-Authors: Karline Soetaert, Centre For, Thomas Petzoldt, Woodrow R. Setzer
    Abstract:

    R package deSolve (Soetaert, Petzoldt, and Setzer 2010a,b) the successor of R package odesolve is a package to solve initial value problems (IVP) of: ˆ ordinary differential equations (ODE), ˆ differential algebraic equations (DAE) and ˆ partial differential equations (PDE). ˆ delay differential equations (DeDE). The implementation includes stiff integration routines based on the ODEPACK FOR-TRAN codes (Hindmarsh 1983). It also includes fixed and adative time-step Runge-Kutta solvers and the Euler method (Press, Teukolsky, Vetterling, and Flannery 1992). In this vignette we outline how to implement differential equations as R-functions. Another vignette (“compiledCode”) (Petzoldt and Setzer 2008), deals with differential equations implemented in lower-level languages such as FORTRAN, C, or C++, which are compiled into a dynamically linked library (DLL) and loaded into R. R (R Developmen

  • Computational Toxicology Germany US Environmental Protection Agency
    2010
    Co-Authors: Karline Soetaert, Centre For, Thomas Petzoldt, Woodrow R. Setzer
    Abstract:

    R package deSolve (Soetaert, Petzoldt, and Setzer 2009), the successor of R package odesolve is a package to solve initial value problems (IVP) of: • ordinary differential equations (ODE), • differential algebraic equations (DAE) and • partial differential equations (PDE). The implementation includes stiff integration routines based on the ODEPACK FOR-TRAN codes (Hindmarsh 1983). It also includes fixed and adative time-step Runge-Kutta solvers and the Euler method (Press, Teukolsky, Vetterling, and Flannery 1992). In this vignette we outline how to implement differential equations as R-functions. Another vignette (“compiledCode”) (Soetaert and Setzer 2008), deals with differential equations implemented in lower-level languages such as FORTRAN, C, or C++, which are compiled into a dynamically linked library (DLL) and loaded into R. R (R Development Core Team 2008). Keywords:˜differential equations, ordinary differential equations, differential algebraic equations

Thomas Petzoldt - One of the best experts on this subject based on the ideXlab platform.

  • Computational Toxicology Germany US Environmental Protection Agency
    2010
    Co-Authors: Karline Soetaert, Centre For, Thomas Petzoldt, Woodrow R. Setzer
    Abstract:

    R package deSolve (Soetaert, Petzoldt, and Setzer 2010a,b) the successor of R package odesolve is a package to solve initial value problems (IVP) of: ˆ ordinary differential equations (ODE), ˆ differential algebraic equations (DAE) and ˆ partial differential equations (PDE). ˆ delay differential equations (DeDE). The implementation includes stiff integration routines based on the ODEPACK FOR-TRAN codes (Hindmarsh 1983). It also includes fixed and adative time-step Runge-Kutta solvers and the Euler method (Press, Teukolsky, Vetterling, and Flannery 1992). In this vignette we outline how to implement differential equations as R-functions. Another vignette (“compiledCode”) (Petzoldt and Setzer 2008), deals with differential equations implemented in lower-level languages such as FORTRAN, C, or C++, which are compiled into a dynamically linked library (DLL) and loaded into R. R (R Developmen

  • Computational Toxicology Germany US Environmental Protection Agency
    2010
    Co-Authors: Karline Soetaert, Centre For, Thomas Petzoldt, Woodrow R. Setzer
    Abstract:

    R package deSolve (Soetaert, Petzoldt, and Setzer 2009), the successor of R package odesolve is a package to solve initial value problems (IVP) of: • ordinary differential equations (ODE), • differential algebraic equations (DAE) and • partial differential equations (PDE). The implementation includes stiff integration routines based on the ODEPACK FOR-TRAN codes (Hindmarsh 1983). It also includes fixed and adative time-step Runge-Kutta solvers and the Euler method (Press, Teukolsky, Vetterling, and Flannery 1992). In this vignette we outline how to implement differential equations as R-functions. Another vignette (“compiledCode”) (Soetaert and Setzer 2008), deals with differential equations implemented in lower-level languages such as FORTRAN, C, or C++, which are compiled into a dynamically linked library (DLL) and loaded into R. R (R Development Core Team 2008). Keywords:˜differential equations, ordinary differential equations, differential algebraic equations

Haiwen Xiao - One of the best experts on this subject based on the ideXlab platform.

  • development and application of a water pollution emergency response system for the three gorges reservoir in the yangtze river china
    Journal of Environmental Sciences-china, 2011
    Co-Authors: Shujuan Peng, Jun Zhai, Haiwen Xiao
    Abstract:

    There are many watercraft and production accidents in the Three Gorges Reservoir Area (TGRA) of the Yangtze River in China every year. Accidents threaten the water quality of the 1085 km2 surface area of the TGRA and millions of local people if oil and chemical leakage were to occur. A water pollution management system for emergency response (WPMS_ER) was therefore designed for the management of pollution in this area. An integrated geographic information system (GIS)-based water pollution management information system for the TGRA, called WPMS_ER_TGRA, was developed in this study. ArcGIS engine was used as the system development platform, and Visual Basic as the programming language. The models for hydraulic and water quality simulation and the generation of body-fitted coordinates were developed and programmed as a dynamically linked library file using Visual Basic, and they can be launched by other computer programs. Subsequently, the GIS-based information system was applied to the emergency water pollution management of a shipwreck releasing 10 tons of phenol into the Yangtze River during two hours. The results showed that WPMS_ER_TGRA can assist with emergency water pollution management and simulate the transfer and diffusion of accidental pollutants in the river. Furthermore, it can quickly identify the affected area and how it will change over time within a few minutes of an accident occurring.