13 stories tagged with #computation, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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A Common Proof of the Riemann Hypothesis and the Collatz Conjecture
Result. The Riemann Hypothesis and the Collatz Conjecture are proved as two specialisations of a single structural theorem: in a closed witness system with positive drift, every tr…
Why are neural networks and cryptographic ciphers so similar?
Several neural network design principles are almost identical to cipher design principles.…
Prime Gap Structure
Investigates deterministic prime-gap interiors using the Divisor Normalization Identity (DNI). Establishes the Gap Winner Rule (GWR) the raw-Z maximizer is always the leftmost min-…
Electro-chemo-mechanical modelling of structural battery composite full cells
Structural battery composites are multifunctional materials capable of storing electrochemical energy and carry mechanical load at the same time. In this study, we focus on the lam…
Constraints That Compute: A Unified Framework for Efficient Intelligence
This paper introduces a domain-agnostic framework that replaces brute-force computation with structural efficiency by translating systems into their intrinsic, dimensionless geomet…
An Explicit Solution to Black-Scholes Implied Volatility
This paper identifies what appears to be the first explicit formula for Black-Scholes implied volatility, resolving a 50-year-old problem in option pricing. The key observation is …
Masters in Data Science or Computational Finance?
On the Existence of an Inverse Solution for Preference-Based Reductions in Argumentation
Preference-based argumentation frameworks (PAFs) extend Dung's approach to abstract argumentation (AAFs) by encoding preferences over arguments. Such preferences control the transf…
Tandem: Riding Together with Large and Small Language Models for Efficient Reasoning
Recent advancements in large language models (LLMs) have catalyzed the rise of reasoning-intensive inference paradigms, where models perform explicit step-by-step reasoning before …
A2DEPT: Large Language Model-Driven Automated Algorithm Design via Evolutionary Program Trees
Designing heuristics for combinatorial optimization problems (COPs) is a fundamental yet challenging task that traditionally requires extensive domain expertise. Recently, Large La…
Adaptive ToR: Complexity-Aware Tree-Based Retrieval for Pareto-Optimal Multi-Intent NLU
Multi-intent natural language understanding requires retrieval systems that simultaneously achieve high accuracy and computational efficiency, yet existing approaches apply either …
Mapping molecular markers of physical fitness
The PhenoMol computational model analyzes biomarkers of cellular activity to help predict an individual’s physical fitness level. The model could advance future studies to improve …
Proportional voting method could enhance electoral representation and group decision-making
Researchers from Universidad Carlos III de Madrid (UC3M), in collaboration with international experts, have published a scientific study on how to ensure that the selection of comm…