eSLPN Optimization Algorithm Implementation Files

Harvard Dataverse hosts m-files implementing the eSLPN optimization algorithm for three simulations from a related paper. The files include the older eSLP algorithm and results from a previous repository deposit. The dataset, authored by Optimization, Local Pursuit, was last updated in January 2026.

Use Cases

• Run the eSLPN algorithm simulations 3.1 to 3.3 as described in the associated paper
• Compare performance of the eSLPN algorithm against the included older eSLP algorithm implementation
• Verify experimental results and generate associated graphs or videos using the provided README.txt instructions

Strengths

• Includes m-files for three distinct simulations (3.1, 3.2, 3.3) as referenced in the paper
• Provides a README.txt file with analytical directions for requirements, verification, and execution
• Contains the older eSLP algorithm and results from a previous repository deposit for comparison

Limitations

• Dataset contains code implementations rather than structured data rows and columns for direct analysis
• No tabular data, sample data, or file size information is provided for assessing scale
• The description does not specify the programming environment or tool dependencies beyond m-files

Provenance

Source

Harvard Dataverse

Collection Method

m-files implementing algorithms for academic paper simulations

Freshness

Last updated on 2026-01-23.