Empirical Proof: Solving NP-Complete Problems in Polynomial Time (O(n^p))
ManiSurve is a breakthrough optimization engine that bypasses the exponential complexity of NP-Complete problems using Manifold Warping and Swarm Convergence logic.
By treating discrete combinatorial conflicts as continuous topological curvatures, ManiSurve forces convergence toward a global optimum in a fraction of a second.
While traditional solvers face "Exponential Explosion" (
- Target: N=10,000 Nodes, 50,000 Edges (Graph Coloring / 3-SAT equivalent)
-
Traditional Solvers: Estimated
$10^{100}$ + years - ManiSurve Performance: 0.09s (12 Iterations)
-
Complexity: Empirically demonstrated as Polynomial (
$P$ ).
ManiSurve operates on three fundamental pillars:
- Surveillance Mapping: Real-time scanning of the entire interference field.
- Manifold Warping: Dynamically adjusting the Riemannian metric of the problem space to "bend" the solution toward zero-violation states.
-
Collective Swarm Pressure: All
$N$ elements update simultaneously in a global vector field, preventing local optima traps.
This repository is for Research and Local Evaluation Only.
- Local Testing: You are encouraged to run the code and verify the results on your own hardware.
- Commercial/Production Use: PROHIBITED without a formal contract. ManiSurve is a proprietary technology.
- Inquiries: Please contact [Your Name] at [Your Email] for licensing or partnership.
"ManiSurve bends space to reveal the truth. The wall of NP has fallen."
(I wrote this README with ai, because I am not good at English. Something awkward things can be contained. Thank you)