State-space models (SSM) are central to describe time-varying complex systems in countless signal processing applications such as remote sensing, networks, biomedicine, and finance to name a few.

In this video, we will learn what is linear regression in machine learning along with examples to make the concept crystal clear.

There is a need for design strategies that can support rapid and widespread deployment of new energy systems and process technologies. In a previous work, we introduced process family design as an ...

We developed spreadsheet linear-programming models for planning shipments of finished goods between vendors, manufacturing plants, warehouses, and customers to minimize overall cost subject to maximum ...

Instructor Fall 2016: Sriram SankaranarayananPrerequisitesCalculus I,II + Algorithms + Linear Algebra.Topics CoveredRoughly, we will cover the following topics (some of them may be skipped depending ...

Understanding the General Linear Model is essential for conducting rigorous statistical analyses, making informed inferences about relationships between variables, and developing predictive models.