The Spectrum of NP and P: A Probabilistic Approach

This document presents a new perspective on the P vs NP question, proposing that problem complexity exists on a spectrum rather than a strict divide. Using the black box analogy, it illustrates how the difficulty of NP problems is directly linked to the amount of available information—with no clues, the search is hard (NP), but with enough data, it becomes easy (P). This suggests that NP problems can transition to P based on information availability, challenging the traditional view that they are fundamentally separate classes.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-03
DOI
https://doi.org/10.5281/zenodo.14796671
Primary Topic
Constraint Satisfaction and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

The Spectrum of NP and P: A Probabilistic Approach

Zenodo (CERN European Organization for Nuclear Research)
Constraint Satisfaction and Optimization
article

The Spectrum of NP and P: A Probabilistic Approach

article en

Abstract

This document presents a new perspective on the P vs NP question, proposing that problem complexity exists on a spectrum rather than a strict divide. Using the black box analogy, it illustrates how the difficulty of NP problems is directly linked to the amount of available information—with no clues, the search is hard (NP), but with enough data, it becomes easy (P). This suggests that NP problems can transition to P based on information availability, challenging the traditional view that they are fundamentally separate classes.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 48%
Constraint Satisfaction and Optimization
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The Spectrum of NP and P: A Probabilistic Approach · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS