Mathematicians from the California Institute of Technology have solved an old problem related to a mathematical process called a random walk.

Overview: Functional programming prevents unintended data changes, reducing errors in large systems.Pure functions improve testing accuracy because outputs depe ...

Applications are now open for the 2026 American Fidelity STEM Teacher Fellowship! It’s hard for me to think of why ...

There are some languages that don't need mass appeal to be loved. Elixir, Lua, Zig, Clojure, Julia, and Rust prove that point ...

DeepMind's Aletheia is a huge advance in AI-driven mathematical reasoning. It is a research agent built on top of Gemini Deep ...

The GNU C compiler is excellent with reasoning about Boolean values. It may be too clever. Like Microsoft Clippy-level clever ...

Abstract: This paper investigates the capabilities of large language models (LLMs) in formulating and solving decision-making problems using mathematical programming. We first conduct a systematic ...

Self-efficacy is an integral part of personal factors that contributes substantially to students' success in mathematics. This review draws on previous intervention studies to identify, describe, and ...

MPAX is a hardware-accelerated, differentiable, batchable, and distributable solver for mathematical programming in JAX, designed to integrate with modern computational and deep learning workflows: ...

Copyright (C) 2017-2024 Vincent A. Cicirello. ρμ is a Java library of Randomization enHancements and Other Math Utilities (rho mu). It includes implementations of ...