SRMs & Few-Step Discrete Flows: Connections between Algebraic Determinism and Probabilistic Generation
Description
This paper proposes a unifying interpretation between two fields that, although born in different times and contexts, move toward the same fundamental principle: few-step computational optimization. In 2017, the Heru Search Method (HSM), based on Infinite Series with Multiple Ratios (SRMs), was published in the American Journal of Computational Mathematics, presenting a deterministic method capable of replacing binary trees and breaking the century-old O (log n) paradigm. In 2025, Few-Step Discrete Flow-Matching (FS-DFM) emerged, developed by researchers at Apple Inc. and Ohio State University, introducing, in the domain of probabilistic generation, the same logic of discrete jumps with minimum procedural entropy. The objective of this article is to demonstrate that such systems — the deterministic (SRMs-HSM) and the probabilistic (FS-DFM) — are complementary expressions of the same universal law of efficiency: the Principle of Discrete Transition in Few Steps. The convergence proposed here does not aim to superimpose models, but to reveal the dual nature of the same mathematical-computational phenomenon: the transformation of the traversal into a jump.
Technical info (En)
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