Reproducibility package for Certified hp-Adaptive Collocation with Dual-History Compression for Nonlinear Variable-Order Caputo--Volterra Equations
This archive contains the manuscript source/PDF, numerical implementation, frozen machine-readable results, figures, regression scripts, and directed certificate postprocessor accompanying the paper “Certified hp-Adaptive Collocation with Dual-History Compression for Nonlinear Variable-Order Caputo--Volterra Equations.” The method accelerates both causal histories while retaining separate error control for Caputo and Volterra compression. The archive includes controlled-mesh and four-mode ablation tests, adaptive-path preservation checks, rank/SOE sensitivity, nonlinear-source stress tests, history-scaling data, a targetwise Volterra compression certificate, and the frozen checkpoint plus outward-rounded postprocessor used for the finalmaximum-norm certificate. The scientific and numerical content is frozen at version 1.4; journal-specific manuscript formatting is intentionally deferred until a target journal is selected.
Authors
- Mohammad Reza Ansari (ORCID: https://orcid.org/0000-0002-3119-9636)
Institutions
- Imam Khomeini International University (IR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-05
- DOI
- https://doi.org/10.5281/zenodo.22405278
- Primary Topic
- Model Reduction and Neural Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00