Struct ProfitOracleQ

pub struct ProfitOracleQ { /* private fields */ }

The ProfitOracleQ struct is an oracle for the profit maximization problem in a discrete version.

Properties:

• omega: The omega property is an instance of the ProfitOracle struct. It is used to calculate the profit for a given input.
• yd: The variable yd is an array that represents the discrete version of y values

Implementations

impl ProfitOracleQ

pub fn new( params: (f64, f64, f64), elasticities: Array1<f64>, price_out: Array1<f64>, ) -> Self

The function new constructs a new ProfitOracleQ object with given parameters.

Arguments:

• p: The parameter p represents the market price per unit. It is a floating-point number (f64) that indicates the price at which a unit of the product is sold in the market.
• scale: The “scale” parameter represents the scale of production, which refers to the level of output or production of a particular good or service. It indicates the quantity of goods or services produced within a given time period.
• k: A given constant that restricts the quantity of x1. It is used to limit the quantity of a particular input (x1) in the production process.
• elasticities: The parameter elasticities represents the output elasticities. Output elasticity measures the responsiveness of the quantity of output to a change in the input quantity. It indicates how much the quantity of output changes in response to a change in the quantity of input.
• price_out: The parameter price_out represents the output price. It is an array that contains the prices of the outputs.

Returns:

The new function is returning an instance of the ProfitOracleQ struct.

Trait Implementations

impl OracleOptimQ<ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>> for ProfitOracleQ

fn assess_optim_q( &mut self, y: &Array1<f64>, gamma: &mut f64, retry: bool, ) -> ((Array1<f64>, f64), bool, Array1<f64>, bool)

The assess_optim_q function takes in an input quantity y in log scale, updates the best-so-far optimal value gamma, and returns a cut and the updated best-so-far value.

Arguments:

• y: The parameter y is an input quantity in log scale. It is of type Arr, which is likely an array or vector type.
• gamma: The parameter gamma represents the best-so-far optimal value. It is a mutable reference to a f64 value, which means it can be modified within the function.
• retry: A boolean value indicating whether it is a retry or not.

type CutChoice = f64