Eric Moore

One of the fundamental challenges of Computational Complexity Theory, the 3-SAT problem, is not merely a mathematical puzzle; it holds the potential to redefine how humanity approaches and utilizes knowledge. I have dedicated my life to understanding this problem and exploring innovative solutions.

In this pursuit, I developed the UC-SAT method, which introduces a new perspective on the P=NP question. While the full implications of this method are still under evaluation, my research continues to focus on uncovering its potential contributions to the field of complexity theory.

In the realm of financial software, my work is centered on addressing optimization problems. I aim to bridge theoretical insights with practical applications, creating innovative solutions that address complex challenges in the financial industry. This journey is driven by a commitment to connect abstract mathematics with tangible outcomes.

For more details, you can explore my academic paper: Moore, E. (2024). Proving P=NP with UC-SAT or Refuting the Cook-Levin Theorem One of These Outcomes is Inevitable (1.2). Zenodo. https://doi.org/10.5281/zenodo.13834511

Grafici & Idee