Published November 15, 2025
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Position-Candidate-Hypothesis (PCH) Paradigm: A Structural-Statistical Approach to NP-Complete Problems
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Description
This research paper introduces the Position-Candidate-Hypothesis (PCH) paradigm as a novel theoretical approach to NP-complete problems. This work proposes a fundamental shift from traditional combinatorial search to structuralstatistical analysis. The research explores the decomposition of problems into three interconnected components: positions, candidates, and hypotheses, followed by statistical integration. This work presents a new perspective on computational problem-solving that emphasizes structural analysis and pattern recognition over exhaustive search methods.
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Related works
- Cites
- Preprint: 10.5281/zenodo.17204738 (DOI)
- Preprint: 10.5281/zenodo.17264327 (DOI)
References
- Suvorov, A. (2025). The Pointer-Based Security Paradigm: Architectural Shift from Data Protection to Data Non-Existence. Zenodo. https://doi.org/10.5281/zenodo.17204738
- Suvorov, A. (2025). The Local Data Regeneration Paradigm: Ontological Shift from Data Transmission to Synchronous State Discovery. Zenodo. https://doi.org/10.5281/zenodo.17264327
- Suvorov, A. (2025). Deterministic Game Engine: Practical Implementation of Pointer-Based Security and Local Data Regeneration Paradigms. Zenodo. https://doi.org/10.5281/zenodo.17383447