Computer Programs
USCD1224 LSODI.
LSODI, Implicit Ordinary Differential Equations System Either Dense or Banded Matrices
NAME OR DESIGNATION OF PROGRAM, COMPUTER, DESCRIPTION OF PROGRAM OR FUNCTION, METHODS, RESTRICTIONS, CPU, FEATURES, RELATED OR AUXILIARY PROGRAMS, STATUS, REFERENCES, REQUIREMENTS, LANGUAGE, OPERATING SYSTEM, OTHER RESTRICTIONS, NAME AND ESTABLISHMENT OF AUTHORS, MATERIAL, CATEGORIES
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| Program name | Package id | Status | Status date |
|---|---|---|---|
| LSODI | USCD1224/01 | Tested | 23-SEP-2005 |
Machines used:
| Package ID | Orig. computer | Test computer |
|---|---|---|
| USCD1224/01 | IBM PC | PC Windows |
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3. DESCRIPTION OF PROGRAM OR FUNCTION
LSODI is a set of general-purpose FORTRAN routines solver for the initial value problem for ordinary differential equation systems. It is suitable for both stiff and nonstiff systems. LSODI treat systems in the linearly implicit form A(t,y) dy/dt = g(t,y), A = a square matrix, i.e. with the derivative dy/dt implicit, but linearly so. It allows A to be singular, in which case the system is a differential-algebraic equation (DAE) system. In that case, the user must be very careful to supply a well-posed problem with consistent initial conditions. LSODI, written jointly with J. F. Painter, solves linearly implicit systems in which the matrices involved (A, dg/dy, and d(A dy/dt)/dy) are all assumed to be either dense or banded. The LSODI source is commented extensively to facilitate modification. Both a single-precision version and a double-precision version are available.
LSODI is a set of general-purpose FORTRAN routines solver for the initial value problem for ordinary differential equation systems. It is suitable for both stiff and nonstiff systems. LSODI treat systems in the linearly implicit form A(t,y) dy/dt = g(t,y), A = a square matrix, i.e. with the derivative dy/dt implicit, but linearly so. It allows A to be singular, in which case the system is a differential-algebraic equation (DAE) system. In that case, the user must be very careful to supply a well-posed problem with consistent initial conditions. LSODI, written jointly with J. F. Painter, solves linearly implicit systems in which the matrices involved (A, dg/dy, and d(A dy/dt)/dy) are all assumed to be either dense or banded. The LSODI source is commented extensively to facilitate modification. Both a single-precision version and a double-precision version are available.
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4. METHODS
This program solves a semi-discretized form of the Burgers equation,
u = -(u*u/2) + eta * u
t x xx
for a = -1 .le. x .le. 1 = b, t .ge. 0.
Here eta = 0.05.
Boundary conditions: u(-1,t) = u(1,t) = 0.
Initial profile: square wave
u(0,x) = 0 for 1/2 .lt. abs(x) .le. 1
u(0,x) = 1/2 for abs(x) = 1/2
u(0,x) = 1 for 0 .le. abs(x) .lt. 1/2
An ODE system is generated by a simplified Galerkin treatment of the spatial variable x.
This program solves a semi-discretized form of the Burgers equation,
u = -(u*u/2) + eta * u
t x xx
for a = -1 .le. x .le. 1 = b, t .ge. 0.
Here eta = 0.05.
Boundary conditions: u(-1,t) = u(1,t) = 0.
Initial profile: square wave
u(0,x) = 0 for 1/2 .lt. abs(x) .le. 1
u(0,x) = 1/2 for abs(x) = 1/2
u(0,x) = 1 for 0 .le. abs(x) .lt. 1/2
An ODE system is generated by a simplified Galerkin treatment of the spatial variable x.
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USCD1224/01
At the NEA-DB the demonstration program included in this package ran on a PC Windows Xeon in a few seconds.[ top ]
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8. RELATED OR AUXILIARY PROGRAMS
This program is part of the ODEPACK (USCD1232) collection of Fortran solvers for the initial value problem for ordinary differential equation systems. It consists of nine solvers, namely a basic solver called LSODE (USCD1223) and eight variants of it: LSODES (USCD1229), LSODA (USCD1227), LSODAR (USCD1228), LSODPK (USCD1231), LSODKR (USCD1230), LSODI (USCD1224), LSOIBT (USCD1226), and LSODIS (USCD1225) which are distributed by the Computer Program Service of the NEA Data Bank.
This program is part of the ODEPACK (USCD1232) collection of Fortran solvers for the initial value problem for ordinary differential equation systems. It consists of nine solvers, namely a basic solver called LSODE (USCD1223) and eight variants of it: LSODES (USCD1229), LSODA (USCD1227), LSODAR (USCD1228), LSODPK (USCD1231), LSODKR (USCD1230), LSODI (USCD1224), LSOIBT (USCD1226), and LSODIS (USCD1225) which are distributed by the Computer Program Service of the NEA Data Bank.
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10. REFERENCES
[1] A. C. Hindmarsh, "ODEPACK, A Systematized Collection of ODE Solvers," in Scientific Computing, R. S. Stepleman et al. (eds.), North-Holland, Amsterdam, 1983 (vol. 1 of IMACS Transactions on Scientific Computation), pp. 55-64.
[2] P. N. Brown and A. C. Hindmarsh, "Reduced Storage Matrix Methods in Stiff ODE Systems," J. Appl. Math. & Comp., 31 (1989), pp.40-91. 11.
[3] R. C. Y. Chin, G. W. Hedstrom, and K. E. Karlsson, "A Simplified Galerkin Method for Hyperbolic Equations," in Math. Comp., vol. 33, no. 146 (April 1979), pp. 647-658
[1] A. C. Hindmarsh, "ODEPACK, A Systematized Collection of ODE Solvers," in Scientific Computing, R. S. Stepleman et al. (eds.), North-Holland, Amsterdam, 1983 (vol. 1 of IMACS Transactions on Scientific Computation), pp. 55-64.
[2] P. N. Brown and A. C. Hindmarsh, "Reduced Storage Matrix Methods in Stiff ODE Systems," J. Appl. Math. & Comp., 31 (1989), pp.40-91. 11.
[3] R. C. Y. Chin, G. W. Hedstrom, and K. E. Karlsson, "A Simplified Galerkin Method for Hyperbolic Equations," in Math. Comp., vol. 33, no. 146 (April 1979), pp. 647-658
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USCD1224/01
Compiling, loading, and executing the demonstration program required a minimum main storage of 6 Mbytes.[ top ]
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USCD1224/01
Information fileDouble precision files:
DLSODI_MAIN.exe Executable file
DLSODI_MAIN.f Test Source file
DLSODI_OUT.aut Authors output file
DLSOIBT_OUT.nea NEA output file
opkda1.f Fortran source file
opkda2.f Fortran source file
opkdmain.f Fortran source file
Single precision files:
opksa1.f Fortran source file
opksa2.f Fortran source file
opksmain.f Fortran source file
SLSODI_MAIN.exe Executable file
SLSODI_MAIN.f Test source file
SLSODI_OUT.nea NEA output file
Keywords: algorithms, initial-value problems, numerical solution, ordinary differential equations.