Claude and ChatGPT’s latest models are nitpicky and burning tokens. Here’s the fix

Claude Opus 5 and GPT-5.6 keep flagging minor issues as major flaws, burning through usage limits fast. Here's a prompt that ...
Frontiers

Applying neural ordinary differential equations for analysis of hormone dynamics in Trier Social Stress Tests

Introduction: This study explores using Neural Ordinary Differential Equations (NODEs) to analyze hormone dynamics in the hypothalamicpituitary-adrenal (HPA) axis during Trier Social Stress Tests ...
Frontiers

Safe Model-Based Reinforcement Learning for Systems With Parametric Uncertainties

Reinforcement learning has been established over the past decade as an effective tool to find optimal control policies for dynamical systems, with recent focus on approaches that guarantee safety ...
PNAS

Efficient quantum algorithm for dissipative nonlinear differential equations

Nonlinear differential equations appear in many domains and are notoriously difficult to solve. Whereas previous quantum algorithms for general nonlinear differential equations have complexity ...
PNAS

Inference of dynamic systems from noisy and sparse data via manifold-constrained Gaussian processes

Ordinary differential equations are a ubiquitous tool for modeling behaviors in science, such as gene regulation, biological rhythms, epidemics, and ecology. An important problem is to infer and ...
IEEE

Optimal Control of a Bilinear System with a Quadratic Cost Functional

Abstract: Various control systems in engineering problems are modelled with linear differential equations where a linear control is used. On the other hand, linear models are not capable of ...
GitHub

wavelet-and-multiscale-library/Marburg_Software_Library

The Marburg Software Library is a collection of several wavelet based C++ algorithms to solve partial differential equations on one-dimensional intervals [a,b] as well as on two-dimensional cubes and ...