Piecewise Linear Functions (PWLs) can be used to approximate any 1D function. PWLs are built with a configurable number of line segments - the more segments the more accurate the approximation. This ...

Abstract: Analysis of continuous-time piecewise linear systems based on piecewise quadratic (PWQ) Lyapunov functions typically requires continuity of these functions. Several conditions for ...

Abstract: We introduce an algorithm for synthesizing and verifying piecewise linear Lyapunov functions to prove global exponential stability of piecewise linear dynamical systems. The Lyapunov ...

The Terraform module handles the deployment of Cloud Functions (Gen 2) on GCP.

The course gives insight into theory and algorithms for fundamental mathematical problems associated with systems of equations, optimization, and approximation of functions. There are many ...

Analysis and interpretation of the behavior and nature of functions including linear, quadratic, higher-order polynomials, rational, exponential, logarithmic, power, absolute value, and ...

Face-to-Face class that meets on designated campus. Students are expected to attend all class meetings on the days and times shown in schedule. Students who do not attend a class meeting by the end of ...

Working knowledge of college-level mathematics and its applications to real-life problems. Emphasis on understanding mathematical concepts and their applications. Topics include proportional reasoning ...

The policy manual for the Graduate Program in the Department of Mathematical Sciences at the University of Delaware is known as the "Blue Book". Through both maintenance and curriculum development, ...

Choose a character, then add, subtract, divide and multiply numbers to battle your way to victory in this fun maths game. Challenge yourself across 11 KS2 maths topics from the Mysterious Mountains of ...

Algebra and Number Theory seminar In the Semester B of 2025-26, we meet at 3:00 pm on Fridays (in-person) at MB 503. The seminar organisers are Robin Bartlett, Miriam Norris and Shu Sasaki.