Trait argmin::core::State

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pub trait State {
    type Param;
    type Float: ArgminFloat;

Show 20 methods
    fn new() -> Self;
    fn update(&mut self);
    fn get_param(&self) -> Option<&Self::Param>;
    fn get_best_param(&self) -> Option<&Self::Param>;
    fn get_max_iters(&self) -> u64;
    fn increment_iter(&mut self);
    fn get_iter(&self) -> u64;
    fn get_cost(&self) -> Self::Float;
    fn get_best_cost(&self) -> Self::Float;
    fn get_target_cost(&self) -> Self::Float;
    fn func_counts<O>(&mut self, problem: &Problem<O>);
    fn get_func_counts(&self) -> &HashMap<String, u64>;
    fn time(&mut self, time: Option<Duration>) -> &mut Self;
    fn get_time(&self) -> Option<Duration>;
    fn get_last_best_iter(&self) -> u64;
    fn is_best(&self) -> bool;
    fn terminate_with(self, termination_reason: TerminationReason) -> Self;
    fn get_termination_status(&self) -> &TerminationStatus;
    fn get_termination_reason(&self) -> Option<&TerminationReason>;

    fn terminated(&self) -> bool { ... }
}

Expand description

Minimal interface which struct used for managing state in solvers have to implement.

These methods expose basic information about the state which is needed in Executor and OptimizationResult but can also be useful in observers.

The struct implementing this trait should keep track of

the current parameter vector
the cost associated with the current parameter vector
the current best parameter vector
the cost associated with the current best parameter vector
the iteration number where the last best parameter vector was found
the target cost function value (If this value is reached, the optimization will be stopped). Set this to Self::Float::NEG_INFINITY if not relevant.
the current number of iterations
how often each function of the problem has been called
the time required since the beginning of the optimization until the current point in time
the status of optimization execution (TerminationStatus)

Since the state in general changes for each iteration, “current” refers to the current iteration.

State::Param indicates the type of the parameter vector while State::Float indicates the precision of floating point operations. Any type implementing ArgminFloat can be used for this (so far f32 and f64).

Required Associated Types§

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type Param

Type of parameter vector

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type Float: ArgminFloat

Floating point precision (f32 or f64)

Required Methods§

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fn new() -> Self

Construct a new state

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fn update(&mut self)

This method is called after each iteration and checks if the new parameter vector is better than the previous one. If so, it will update the current best parameter vector and current best cost function value.

For methods where the cost function value is unknown, it is advised to assume that every new parameter vector is better than the previous one.

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