pub struct QUBO<W = f64> { /* private fields */ }Expand description
The QUBO (Quadratic Unconstrained Binary Optimization) problem.
Given n binary variables x_i ∈ {0, 1} and a matrix Q, minimize the quadratic form:
f(x) = Σ_i Σ_j Q_ij * x_i * x_j = x^T Q x
The matrix Q is typically upper triangular, with diagonal elements representing linear terms and off-diagonal elements representing quadratic interactions.
§Example
use problemreductions::models::optimization::QUBO;
use problemreductions::{Problem, Solver, BruteForce};
// Q matrix: minimize x0 - 2*x1 + x0*x1
// Q = [[1, 1], [0, -2]]
let problem = QUBO::from_matrix(vec![
vec![1.0, 1.0],
vec![0.0, -2.0],
]);
let solver = BruteForce::new();
let solutions = solver.find_best(&problem);
// Optimal is x = [0, 1] with value -2
assert!(solutions.contains(&vec![0, 1]));Implementations§
Source§impl<W: Clone + Default> QUBO<W>
impl<W: Clone + Default> QUBO<W>
Sourcepub fn from_matrix(matrix: Vec<Vec<W>>) -> Self
pub fn from_matrix(matrix: Vec<Vec<W>>) -> Self
Create a QUBO problem from a full matrix.
The matrix should be square. Only the upper triangular part (including diagonal) is used.
Trait Implementations§
Source§impl<'de, W> Deserialize<'de> for QUBO<W>where
W: Deserialize<'de>,
impl<'de, W> Deserialize<'de> for QUBO<W>where
W: Deserialize<'de>,
Source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
Source§impl<W> Problem for QUBO<W>
impl<W> Problem for QUBO<W>
Source§type GraphType = SimpleGraph
type GraphType = SimpleGraph
The graph type this problem operates on.
Source§fn num_variables(&self) -> usize
fn num_variables(&self) -> usize
Returns the number of variables in the problem.
Source§fn num_flavors(&self) -> usize
fn num_flavors(&self) -> usize
Returns the number of possible values (flavors) for each variable.
For binary problems, this is 2.
Source§fn problem_size(&self) -> ProblemSize
fn problem_size(&self) -> ProblemSize
Returns metadata about the problem size.
Source§fn energy_mode(&self) -> EnergyMode
fn energy_mode(&self) -> EnergyMode
Returns whether larger or smaller objective values are better.
Source§fn solution_size(&self, config: &[usize]) -> SolutionSize<Self::Size>
fn solution_size(&self, config: &[usize]) -> SolutionSize<Self::Size>
Evaluate the solution size for a given configuration. Read more
Source§fn is_valid_config(&self, config: &[usize]) -> bool
fn is_valid_config(&self, config: &[usize]) -> bool
Check if a configuration is valid for this problem.
Source§fn solution_size_multiple(
&self,
configs: &[Vec<usize>],
) -> Vec<SolutionSize<Self::Size>>
fn solution_size_multiple( &self, configs: &[Vec<usize>], ) -> Vec<SolutionSize<Self::Size>>
Evaluate multiple configurations at once (batch evaluation).
Auto Trait Implementations§
impl<W> Freeze for QUBO<W>
impl<W> RefUnwindSafe for QUBO<W>where
W: RefUnwindSafe,
impl<W> Send for QUBO<W>where
W: Send,
impl<W> Sync for QUBO<W>where
W: Sync,
impl<W> Unpin for QUBO<W>where
W: Unpin,
impl<W> UnwindSafe for QUBO<W>where
W: UnwindSafe,
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T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
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fn borrow_mut(&mut self) -> &mut T
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impl<T> CloneToUninit for Twhere
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impl<T> Conv for T
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impl<T> FmtForward for T
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Self: Binary,
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Self: Binary,
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