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Справка Scilab >> Xcos > Solvers

Solvers

  • LSodarLSodar (short for Livermore Solver for Ordinary Differential equations, with Automatic method switching for stiff and nonstiff problems, and with Root-finding) is a numerical solver providing an efficient and stable method to solve Ordinary Differential Equations (ODEs) Initial Value Problems.
  • CVodeCVode (short for C-language Variable-coefficients ODE solver) is a numerical solver providing an efficient and stable method to solve Ordinary Differential Equations (ODEs) Initial Value Problems. It uses either BDF or Adams as implicit integration method, and Newton or Functional iterations.
  • Runge-Kutta 4(5)Runge-Kutta is a numerical solver providing an efficient explicit method to solve Ordinary Differential Equations (ODEs) Initial Value Problems.
  • Dormand-Prince 4(5)Dormand-Prince is a numerical solver providing an efficient explicit method to solve Ordinary Differential Equations (ODEs) Initial Value Problems.
  • Implicit Runge-Kutta 4(5)Implicit Runge-Kutta is a numerical solver providing an efficient and stable implicit method to solve Ordinary Differential Equations (ODEs) Initial Value Problems. Called by xcos.
  • Crank-Nicolson 2(3)Crank-Nicolson is a numerical solver based on the Runge-Kutta scheme providing an efficient and stable implicit method to solve Ordinary Differential Equations (ODEs) Initial Value Problems. Called by xcos.
  • IDAIDA (short for Implicit Differential Algebraic equations system solver) is a numerical solver providing an efficient and stable method to solve Differential Algebraic Equations system (DAEs) Initial Value Problems.
  • DDaskrDDaskr (short for Double-precision Differential Algebraic equations system Solver with Krylov method and Rootfinding) is a numerical solver providing an efficient and stable method to solve Differential Algebraic Equations systems (DAEs) Initial Value Problems.
  • RootfindingThis feature finds roots of continuous functions for Zero-crossing Blocks.
  • ComparisonsThis page compares solvers to determine which one is best fitted for the studied problem.
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Last updated:
Tue Feb 14 15:13:37 CET 2017