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Find steady state of SimBiology model

`[`

attempts to find a steady state of a SimBiology`success`

, `variant_out`

]
= sbiosteadystate(`model`

)^{®} model, `model`

. The function returns
`success`

, which is `true`

if a steady state
was found, and a SimBiology
`Variant object`

,
`variant_out`

, with all non-constant species, compartments,
and parameters of the model having the steady-state values. If a steady state was
not found, then the `success`

is `false`

and
`variant_out`

contains the last values found by the
algorithm.

`[`

applies
the alternate quantity values stored in a SimBiology variant
object, `success`

, `variant_out`

]
= sbiosteadystate(`model`

, `variant_in`

)`variant_in`

, to the model before trying
to find the steady-state values.

`[`

applies
a SimBiology schedule dose object, `success`

, `variant_out`

]
= sbiosteadystate(`model`

, `variant_in`

, `scheduleDose`

)`scheduleDose`

,
or a vector of schedule doses to the corresponding model quantities
before trying to find the steady state values. Only doses at time
= 0 are allowed, that is, the dose time of each dose object must be
0. To specify a dose without specifying a variant, set `variant_in`

to
an empty array, `[]`

.

` [`

also returns a SimBiology model, `success`

, `variant_out`

, `model_out`

]
= sbiosteadystate(`model`

,___)`model_out`

that is a copy of the input
`model`

with the states set to the steady-state solution that
was found. Also, `model_out`

has all initial assignment rules
disabled.

` [`

also returns the exit information about the steady state computation.`success`

, `variant_out`

, `model_out`

, `exitInfo`

]
= sbiosteadystate(`model`

,___)

` [___] = sbiosteadystate(___, `

uses
additional options specified by one or more `Name,Value`

)`Name,Value`

pair
arguments.

`sbiosimulate`

| `sbiovariant`

| `sbiomodel`

| `sbioaccelerate`

| `Model object`

| ```
ScheduleDose
object
```

| `Variant object`

| `commit`