solve_weight_iterative

General safe method for solving final weight when analytical solutions fail
Used as fallback for complex cases

internal

An implementation of the 'Fish Bioenergetics 4.0' framework
described in Deslauriers et al. (2017)
<doi:10.1080/03632415.2017.1377558>. Provides automated parameter
optimization, multi-prey diet modeling, and comprehensive energy budget
simulations for fisheries research and aquaculture applications. An
optional 'TMB' (Template Model Builder) backend delivers 10-50x speedup
in maximum likelihood estimation while maintaining full backward
compatibility. Includes species-specific parameter databases and tools
for modeling fish growth, consumption, and metabolism under varying
environmental conditions.

Hans Ttito

fb4package

'Fish Bioenergetics 4.0' Model Implementation with
High-Performance 'TMB' Backend

solve_weight_iterative function

<dl><dt>target_energy</dt>
<dd>Target body energy</dd>
<dt>processed_predator_params</dt>
<dd>Processed predator parameters</dd>
<dt>day</dt>
<dd>Current day</dd>
<dt>initial_guess</dt>
<dd>Initial weight estimate</dd></dl>

Arguments

Solve weight using iterative method (Mid-level) — solve_weight_iterative

<dl>

<dt>target_energy</dt>
<dd>Target body energy</dd>


<dt>processed_predator_params</dt>
<dd>Processed predator parameters</dd>


<dt>day</dt>
<dd>Current day</dd>


<dt>initial_guess</dt>
<dd>Initial weight estimate</dd>

</dl>

solve_weight_iterative: Solve weight using iterative method (Mid-level)

Description

Usage

Value

Arguments