Struct Solution

pub struct Solution<'a> {
    solution: Solution,
    variables: VariableMap,
    active_asset_var_idx: Range<usize>,
    candidate_asset_var_idx: Range<usize>,
    time_slice_info: &'a TimeSliceInfo,
    constraint_keys: ConstraintKeys,
}

The solution to the dispatch optimisation problem

Fields

solution: Solution

variables: VariableMap

active_asset_var_idx: Range<usize>

candidate_asset_var_idx: Range<usize>

time_slice_info: &'a TimeSliceInfo

constraint_keys: ConstraintKeys

Implementations

impl Solution<'_>

pub fn create_flow_map(&self) -> FlowMap

Create a map of commodity flows for each asset’s coeffs at every time slice.

Note that this only includes commodity flows which relate to assets, so not every commodity in the simulation will necessarily be represented.

fn iter_activity_for_active( &self, ) -> impl Iterator<Item = (&AssetRef, &TimeSliceID, Activity)>

Activity for each active asset

pub fn iter_reduced_costs_for_candidates( &self, ) -> impl Iterator<Item = (&AssetRef, &TimeSliceID, MoneyPerActivity)>

Reduced costs for candidate assets

pub fn iter_commodity_balance_duals( &self, ) -> impl Iterator<Item = (&CommodityID, &RegionID, &TimeSliceID, MoneyPerFlow)>

Keys and dual values for commodity balance constraints.

pub fn iter_activity_duals( &self, ) -> impl Iterator<Item = (&AssetRef, &TimeSliceID, MoneyPerActivity)>

Keys and dual values for activity constraints.

fn zip_var_keys_with_output<'a, T: UnitType>( &'a self, variable_idx: &Range<usize>, output: &'a [f64], ) -> impl Iterator<Item = (&'a AssetRef, &'a TimeSliceID, T)>

Zip a subset of keys in the variable map with a subset of the given output variable.

Arguments

• variable_idx - The subset of variables to look at
• output - The output variable of interest