ODESolver::StorageParams Klassenreferenz

Defines how often time instances are skipped for addition to the set \( {\cal S}_o \) (Default: -2.0)

• If positive, \({\cal S}_{o,2}\) is chosen such that the difference between two subsequent time instances \( t^{k-1} \) and \( t^{k} \) is at least of size outputInterval and minimal under this constraint.
• If -1, \({\cal S}_{o,2} = \{ 0, K \}\).
• If -2, \({\cal S}_{o,2} = \{ K \} \).
• If -3, \({\cal S}_{o,2} = \{ \} \).

The final set is given by \({\cal S}_o = {\cal S}_{o,1} \cup {\cal S}_{o,2}\) with \({\cal S}_{o,1}\) defined by outputSteps.

Defines how frequently time steps are skipped for addition the set \( {\cal S}_o \) (Default: -2)

• If positive, \({\cal S}_{o,1} = \{ 0, \mbox{outputSteps}, 2\cdot\mbox{outputSteps}, \ldots, K \}\).
• If -1, \({\cal S}_{o,1} = \{ 0, K \}\).
• If -2, \({\cal S}_{o,1} = \{ K \} \).
• If -3, \({\cal S}_{o,1} = \{ \} \).

The final set is given by \({\cal S}_o = {\cal S}_{o,1} \cup {\cal S}_{o,2}\) with \({\cal S}_{o,2}\) defined by outputInterval.

Defines how often time instances are skipped for addition to the set \( {\cal S}_s \) (Default: -3.0)

• If positive, \({\cal S}_{s,2}\) is chosen such that the difference between two subsequent time instances \( t^{k-1} \) and \( t^{k} \) is at least of size storeInterval and minimal under this constraint.
• If -1, \({\cal S}_{s,2} = \{ 0, K \}\).
• If -2, \({\cal S}_{s,2} = \{ K \} \).
• If -3, \({\cal S}_{s,2} = \{ \} \).

The final set is given by \({\cal S}_s = {\cal S}_{s,1} \cup {\cal S}_{s,2}\) with \({\cal S}_{s,1}\) defined by storeSteps.

Defines how frequently time steps are skipped for addition the set \( {\cal S}_s \) (Default: -3)

• If positive, \({\cal S}_{s,1} = \{ 0, \mbox{storeSteps}, 2\cdot\mbox{storeSteps}, \ldots, K \}\).
• If -1, \({\cal S}_{s,1} = \{ 0, K \}\).
• If -2, \({\cal S}_{s,1} = \{ K \} \).
• If -3, \({\cal S}_{s,1} = \{ \} \).

The final set is given by \({\cal S}_s = {\cal S}_{s,1} \cup {\cal S}_{s,2}\) with \({\cal S}_{s,2}\) defined by storeInterval.