Module analysis 

Analysis and statistics for Linear Programming problems.

This module provides comprehensive analysis capabilities for LP problems, including summary statistics, issue detection, and structural metrics.

Example

use lp_parser::{LpProblem, analysis::ProblemAnalysis};

fn analyze_problem(input: &str) -> Result<(), Box<dyn std::error::Error>> {
    let problem = LpProblem::parse(input)?;
    let analysis = problem.analyze();

    println!("Variables: {}", analysis.summary.variable_count);
    println!("Density: {:.2}%", analysis.summary.density * 100.0);

    for issue in &analysis.issues {
        println!("[{:?}] {}", issue.severity, issue.message);
    }
    Ok(())
}

Structs

AnalysisConfig

Configuration for analysis behavior and thresholds.

AnalysisIssue

A detected issue in the LP problem.

CoefficientAnalysis

Coefficient analysis results.

CoefficientLocation

Location of a coefficient in the problem.

ConstraintAnalysis

Constraint analysis results.

ConstraintTypeDistribution

Distribution of constraint types.

FixedVariable

A variable that is fixed (lower == upper).

InvalidBound

A variable with invalid bounds (lower > upper).

ProblemAnalysis

Complete analysis results for an LP problem.

ProblemSummary

Basic problem summary statistics.

RangeStats

Statistical range information.

SOSSummary

Summary of SOS constraints.

SingletonConstraint

A singleton constraint (only one variable).

SparsityMetrics

Sparsity and structural metrics.

VariableAnalysis

Variable type distribution and analysis.

VariableTypeDistribution

Distribution of variable types.

Enums

IssueCategory

Category of detected issue.

IssueSeverity

Severity level for detected issues.