Lorenz Solver R6 Class

R6 wrapper for Lorenz ODE solver with optional AD support

Public fields

ptr

External pointer to the underlying C++ solver object.

active

Logical flag indicating whether AD mode is enabled.

Methods

Public methods

• Lorenz_Solver$new()

• Lorenz_Solver$time()

• Lorenz_Solver$state()

• Lorenz_Solver$set_state()

• Lorenz_Solver$times()

• Lorenz_Solver$advance_adaptive()

• Lorenz_Solver$advance_fixed()

• Lorenz_Solver$step()

• Lorenz_Solver$reset()

• Lorenz_Solver$collect()

• Lorenz_Solver$history_size()

• Lorenz_Solver$history_step()

• Lorenz_Solver$history()

• Lorenz_Solver$set_target()

• Lorenz_Solver$fit()

• Lorenz_Solver$clone()

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Method new()

Initialize a solver for a Lorenz system.

Usage

Lorenz_Solver$new(System_xp, control_xp, active = FALSE)

Arguments

System_xp

External pointer to the Lorenz system object.

control_xp

External pointer to the ODE control object.

active

Logical flag for AD-enabled solver mode.

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Method time()

Get current solver time.

Usage

Lorenz_Solver$time()

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Method state()

Get current solver state.

Usage

Lorenz_Solver$state()

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Method set_state()

Set current solver state and time.

Usage

Lorenz_Solver$set_state(y, time)

Arguments

y

Numeric state vector.

time

Scalar time value.

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Method times()

Get stored solver times.

Usage

Lorenz_Solver$times()

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Method advance_adaptive()

Advance solver using adaptive stepping.

Usage

Lorenz_Solver$advance_adaptive(times)

Arguments

times

Numeric vector of requested output times.

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Method advance_fixed()

Advance solver using fixed stepping.

Usage

Lorenz_Solver$advance_fixed(times)

Arguments

times

Numeric vector of requested output times.

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Method step()

Advance solver by one step.

Usage

Lorenz_Solver$step()

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Method reset()

Reset solver to its initial state.

Usage

Lorenz_Solver$reset()

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Method collect()

Get or set history collection behavior.

Usage

Lorenz_Solver$collect(value)

Arguments

value

Logical flag for collect-history behavior.

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Method history_size()

Return number of stored history entries.

Usage

Lorenz_Solver$history_size()

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Method history_step()

Return one history entry by index.

Usage

Lorenz_Solver$history_step(i)

Arguments

i

Integer index into solver history.

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Method history()

Return history as a tibble.

Usage

Lorenz_Solver$history()

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Method set_target()

Set calibration targets for fitting.

Usage

Lorenz_Solver$set_target(times, target, obs_indices)

Arguments

times

Numeric vector of requested output times.

target

Numeric matrix of target observations.

obs_indices

Integer vector of observed-state indices.

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Method fit()

Fit initial conditions and/or parameters.

Usage

Lorenz_Solver$fit(ic = NULL, params = NULL)

Arguments

ic

Optional initial condition value(s) for fitting.

params

Optional parameter vector for fitting.

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Method clone()

The objects of this class are cloneable with this method.

Usage

Lorenz_Solver$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.