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Optimization problem in calculus explained simply

We walk through an optimization problem step by step, clearly explaining how to identify variables, set up the correct function, apply derivatives, and find maximum or minimum values. Each step is ...
IEEE

Test Optimization Selection for Fault Detection and Isolation Under Multivariable and Multifault Scenarios

Abstract: Test optimization selection (TOS) is a crucial technology in testability design, playing a key role in intelligent manufacturing by enhancing product maintainability and reliability while ...
IEEE

Multivariable Prediction of Blast Furnace Status Driven by Data

Abstract: The generalized regression neural network (GRNN) combined with particle swarm optimization (PSO) model for multivariable prediction of the blast furnace (BF) is proposed in this article. The ...
Investopedia

Understanding Multivariate Models: Forecasting Investment Outcomes

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
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: ...
GitHub

Hierarchical Patch Based Transformer with Learnable Weighted Loss Optimization for Multivariate Time Series Forecasting (HPBTF)

Forecasting, a fundamental task in machine learning, involves predicting future values of a time series based on its historical behavior. This paper introduces a novel Hierarchical Patch Based ...