Maxima 5.43.0 Manual: odepack-pkg

Next: operatingsystem-pkg, Previous: numericalio-pkg, Up: Top [Contents][Index]

## 75 odepack

Previous: Functions and Variables for binary input and output, Up: odepack-pkg [Contents][Index]

### 75.1 Introduction to ODEPACK

> ODEPACK is a 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 and eight variants of it – LSODES, LSODA, LSODAR, LSODPK, LSODKR, LSODI, LSOIBT, and LSODIS. The collection is suitable for both stiff and nonstiff systems. It includes solvers for systems given in explicit form, dy/dt = f(t,y), and also solvers for systems given in linearly implicit form, A(t,y) dy/dt = g(t,y). Two of the solvers use general sparse matrix solvers for the linear systems that arise. Two others use iterative (preconditioned Krylov) methods instead of direct methods for these linear systems. The most recent addition is LSODIS, which solves implicit problems with general sparse treatment of all matrices involved.

9

References: [1] Fortran Code is from http://netlib.org/odepack/

·

Categories: Numerical methods ·Share packages ·Package odepack

Previous: Introduction to ODEPACK, Up: Introduction to ODEPACK [Contents][Index]

#### 75.1.1 Getting Started

Of the eight variants of the solver, maxima currently only has an inteface the `dlsode`.

Let’s say we have this sytem of equations to solve:

      f1 = -.04d0*y1 + 1d4*y2*y3
      f3 = 3d7*y2*y2
      dy1/dt = f1
      dy2/dt = -f1 - f3
      dy3/dt = f3

The independent variable is t; the dependent variables are y1, y2, and y3,

To start the solution, set up the differential equations to solved:

    load("dlsode");
    f1: -.04d0*y1 + 1d4*y2*y3$
    f3: 3d7*y2*y2$
    f2: -f1 - f3$
    fex: [f1, f2, f3];

Initialize the solver, where we have selected method 21

    (%i6) state : dlsode_init(fex, ['t,y1,y2,y3], 21);
    (%o6) [[f, #<Function "LAMBDA ($T $Y1 $Y2 $Y3)" {49DAC061}>],
    [vars, [t, y1, y2, y3]], [mf, 21], [neq, 3], [lrw, 58], [liw, 23], [rwork, {Li\
    sp Array: #(0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
                   0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
                   0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
                   0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0)}],
    [iwork, {Lisp Array: #(0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0)}],
    [fjac, #<Function "LAMBDA ($T $Y1 $Y2 $Y3)" {49D52AC9}>]]

The arrays rwork and iwork carry state between calls to `dlsode_step`, so they should not be modified by the user. In fact, this state should not be modified by the user at all.

Now that the algorithm has been initialized we can compute solutions to the differential equation, using the state returned above.

For this example, we want to compute the solution at times `0.4*10^k` for k from 0 to 11, with the initial values of 1, 0, 0 for the dependent variables and with a relative tolerance of 1d-4 and absolute tolerances of 1e-6, 1e-10, and 1d-6 for the dependent variables.

Then

    y: [1d0, 0d0, 0d0];
    t: 0d0;
    rtol : 1d-4;
    atol: [1d-6, 1d-10, 1d-6];
    istate: 1;
    t:0d0;
    tout:.4d0;

    for k : 1 thru 12 do
      block([],
        result: dlsode_step(y, t, tout, rtol, atol, istate, state),
        printf(true, "At t = ~12,4,2e   y = ~{~14,6,2e~}~%", result[1], result[2]),
        istate : result[3],
        tout : tout * 10);

This produces the output:

    At t =   4.0000e-01   y =   9.851726e-01  3.386406e-05  1.479357e-02
    At t =   4.0000e+00   y =   9.055142e-01  2.240418e-05  9.446344e-02
    At t =   4.0000e+01   y =   7.158050e-01  9.184616e-06  2.841858e-01
    At t =   4.0000e+02   y =   4.504846e-01  3.222434e-06  5.495122e-01
    At t =   4.0000e+03   y =   1.831701e-01  8.940379e-07  8.168290e-01
    At t =   4.0000e+04   y =   3.897016e-02  1.621193e-07  9.610297e-01
    At t =   4.0000e+05   y =   4.935213e-03  1.983756e-08  9.950648e-01
    At t =   4.0000e+06   y =   5.159269e-04  2.064759e-09  9.994841e-01
    At t =   4.0000e+07   y =   5.306413e-05  2.122677e-10  9.999469e-01
    At t =   4.0000e+08   y =   5.494530e-06  2.197824e-11  9.999945e-01
    At t =   4.0000e+09   y =   5.129458e-07  2.051784e-12  9.999995e-01
    At t =   4.0000e+10   y =  -7.170563e-08 -2.868225e-13  1.000000e+00

Previous: Introduction to ODEPACK [Contents][Index]

### 75.2 Functions and Variables for odepack

Function: dlsode_init (fex, vars, method)

  This must be called before running the solver. This function returns a state object for use in the solver. The user must not modify the state.

  The ODE to be solved is given in fex, which is a list of the equations. vars is a list of independent variable and the dependent variables. The list of dependent variables must be in the same order as the equations if fex. Finally, method indicates the method to be used by the solver:

  `10`

    Nonstiff (Adams) method, no Jacobian used.

  `21`

    Stiff (BDF) method, user-supplied full Jacobian.

  `22`

    Stiff method, internally generated full Jacobian.

  The returned state object is a list of lists. The sublist is a list of two elements:

  `f`

    The compiled function for the ODE.

  `vars`

    The list independent and dependent variables (vars).

  `mf`

    The method to be used (method).

  `neq`

    The number of equations.

  `lrw`

    Length of the work vector for real values.

  `liw`

    Length of the work vector for integer values.

  `rwork`

    Lisp array holding the real-valued work vector.

  `iwork`

    Lisp array holding the integer-valued work vector.

  `fjac`

    Compiled analytical Jacobian of the eqations

Function: dlsode_step (inity, t, tout, rtol, atol, istate, state)

  Performs one step of the solver, returning the values of the independent and dependent variables, a succes or error code.

  `inity`

    For the first call (when istate = 1), the initial values

  `t`

    Current value of the independent value

  `tout`

    Next point where output is desired which must not be equal to t.

  `rtol`

    relative tolerance parameter

  `atol`

    Absolute tolerance parameter, scalar of vector. If scalar, it applies to all dependent variables. Otherwise it must be the tolerance for each dependent variable.

    Use rtol = 0 for pure absolute error and use atol = 0 for pure relative error.

  `istate`

    1 for the first call to dlsode, 2 for subsequent calls.

  `state`

    state returned by dlsode_init.

  The output is a list of the following items:

  `t`

    independent variable value

  `y`

    list of values of the dependent variables at time t.

  `istate`

    Integration status:

    `1`

      no work because tout = tt

    `2`

      successful result

    `-1`

      Excess work done on this call

    `-2`

      Excess accuracy requested

    `-3`

      Illegal input detected

    `-4`

      Repeated error test failures

    `-5`

      Repeated convergence failures (perhaps bad Jacobian or wrong choice of mf or tolerances)

    `-6`

      Error weight becase zero during problem (solution component i vanishded and atol(i) = 0.

  `info`

    association list of various bits of information:

    `n_steps`

      total steps taken thus far

    `n_f_eval`

      total number of function evals

    `n_j_eval`

      total number of Jacobian evals

    `method_order`

      method order

    `len_rwork`

      Actual length used for real work array

    `len_iwork`

      Actual length used for integer work array

#### Footnotes

### (9)

From http://netlib.org/odepack/opkd-sum

Previous: Introduction to ODEPACK [Contents][Index]