pub struct SparseMatrixCompression { /* private fields */ }Expand description
Sparse Matrix Compression.
A configuration assigns one zero-based shift value to each row. The
implementation reconstructs the implied storage vector internally instead of
enumerating storage-vector entries directly, so brute-force search runs over
bound_k ^ num_rows shift assignments.
Implementations§
Source§impl SparseMatrixCompression
impl SparseMatrixCompression
Sourcepub fn new(matrix: Vec<Vec<bool>>, bound_k: usize) -> Self
pub fn new(matrix: Vec<Vec<bool>>, bound_k: usize) -> Self
Create a new SparseMatrixCompression instance.
§Panics
Panics if bound_k == 0 or if the matrix rows are ragged.
Sourcepub fn storage_len(&self) -> usize
pub fn storage_len(&self) -> usize
Return the storage-vector length n + K.
Trait Implementations§
Source§impl BruteForceProblem for SparseMatrixCompression
impl BruteForceProblem for SparseMatrixCompression
Source§fn dimensions(&self) -> Vec<usize>
fn dimensions(&self) -> Vec<usize>
Cardinality of each coordinate in the brute-force search space.
Source§fn num_variables(&self) -> usize
fn num_variables(&self) -> usize
Number of coordinates in the brute-force search space.
Source§impl Clone for SparseMatrixCompression
impl Clone for SparseMatrixCompression
Source§fn clone(&self) -> SparseMatrixCompression
fn clone(&self) -> SparseMatrixCompression
Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source. Read moreSource§impl Debug for SparseMatrixCompression
impl Debug for SparseMatrixCompression
impl DeclaredVariant for SparseMatrixCompression
Source§impl<'de> Deserialize<'de> for SparseMatrixCompression
impl<'de> Deserialize<'de> for SparseMatrixCompression
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 Problem for SparseMatrixCompression
impl Problem for SparseMatrixCompression
Source§const NAME: &'static str = "SparseMatrixCompression"
const NAME: &'static str = "SparseMatrixCompression"
Base name of this problem type (e.g., “MaximumIndependentSet”).
Source§fn parameter_names() -> &'static [&'static str]
fn parameter_names() -> &'static [&'static str]
Canonical parameter names for this problem model.
Source§fn parameters(&self) -> ProblemParameters
fn parameters(&self) -> ProblemParameters
Measure the complete canonical parameters of this concrete instance.
Source§fn evaluate(&self, config: &Self::Solution) -> Result<Or, EvaluationError>
fn evaluate(&self, config: &Self::Solution) -> Result<Or, EvaluationError>
Evaluate the problem on a solution.
Source§fn variant() -> Vec<(&'static str, &'static str)>
fn variant() -> Vec<(&'static str, &'static str)>
Returns variant attributes derived from type parameters. Read more
Source§fn problem_type() -> ProblemType
fn problem_type() -> ProblemType
Look up this problem’s catalog entry. Read more
Source§impl ReduceTo<ILP> for SparseMatrixCompression
impl ReduceTo<ILP> for SparseMatrixCompression
Source§fn reduce_to(&self) -> Result<Self::Result, ReductionError>
fn reduce_to(&self) -> Result<Self::Result, ReductionError>
Reduce this problem to the target problem type.
Source§fn target_construction(error: ConstructionError) -> ReductionErrorwhere
Self: Sized,
fn target_construction(error: ConstructionError) -> ReductionErrorwhere
Self: Sized,
Attach this reduction edge to a target-construction failure.
Auto Trait Implementations§
impl Freeze for SparseMatrixCompression
impl RefUnwindSafe for SparseMatrixCompression
impl Send for SparseMatrixCompression
impl Sync for SparseMatrixCompression
impl Unpin for SparseMatrixCompression
impl UnsafeUnpin for SparseMatrixCompression
impl UnwindSafe for SparseMatrixCompression
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fn evaluate_dyn(&self, solution: &Value) -> Result<String, EvaluationError>
Evaluate a configuration and return the CLI-facing metric string.
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Evaluate a configuration and return the result as a serializable JSON value.
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Serialize the problem to a JSON value.
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Return the problem name (
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