Understanding Multivariate Models: Forecasting Investment Outcomes

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...
University of Sheffield

Multivariate meta-analysis TSD

TSD 20: Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints (PDF, 1.2MB) – October 2019 – Updated December 2022: ...
IEEE

Multivariable Disturbance Observer-Based Finite-Time Sliding Mode Attitude Control for Fixed-Wing UAVs Under Matched and Mismatched Disturbances

Abstract: In this letter, we propose a multivariable disturbance observer-based finite-time sliding mode attitude control (MDOB-FT-SM-AC) for fixed-wing UAVs in the presence of both matched and ...
IEEE

Low-order multivariable weighting function design for H ∞ loop shaping method based on ν-gap

Abstract: The H ∞ loop shaping method is known as one of the robust controller design method achieving good control performance and robustness. In this method, the final controller consists of ...
GitHub

Some basic examples to get started with Mathematica+AceGen to build functions, material models, element formulations for Matlab/Fortran/C++

Download the entire repository and unpack it somewhere on your hard drive. Make sure you have Mathematica and AceGen installed. Check this by opening "Step001_Basics" and evaluating the notebook ...