Name: Noah Theodore Prisament
Profile: Software Engineer at MathWorks on the IR Analysis and Optimization Team
I am a passionate and persistent computer scientist. I have strong experience in software development, theoretical computer science, algorithms and compiler optimizations.
IR Analysis and Optimization Team
Embedded Coder Efficiency Group
Leveraging MLIR and Data Driven Optimizations to improve the target aware performance of linear algebra pipelines.
Engineering Development Group
Performed Technical Support for core MATLAB and Math Products; Software engineering projects with Quantum Computing and Parallel Code Generation teams.
EDG Software Engineering Intern - 2022
I worked on the MATLAB Core Graphics team where I planned, designed and developed an improvement to the public MATLAB graphics API.
EDG Software Engineering Intern - 2021
I worked on the Simulink Block Algorithms team where I planned, designed and developed a new core block for Simulink.
Master of Science in Computer Science
Researched in Algorithmic Game Theory under Professor Elliot Anshelevich.
Phalanx Honor Society
View Published Research
Bachelor of Science in Computer Science and Mathematics, Physics Minor
Undergraduate Council Representative, Founders Award of Excellence, Dean's Honor List
Software Engineering Intern
I worked on the Sportsbook Integration Team helping the company launch its sportsbook in new states while developing both internal tools the production applications.
Web Developer Intern
I worked as a full-time employee doing bug fixes, security updates, replacing outdated parts of the codebase and implementing new features
Approximation Algorithms, Parallel Computing, Distributed Systems and Algorithms, Design and Analysis of Algorithms, Quantum Computing, Machine Learning from Data, Graph Mining, Operating Systems, Programming Languages, Data Structures
Graph Theory, Advanced Calculus, Foundations of Analysis, Methods of Partial Differential Equations of Mathematical Physics, Mathematical Models of Operations Research, Linear Algebra, Numerical Computing
Quantum Physics 1, Quantum Physics 2, Computational Physics, Introductory Quantum Mechanics, Quantum Computer Programming
Summer Camp Counselor
I ensured the overall safety, health and well being of assigned bunk’s campers while I developed and maintained the daily living routines of the bunk and facilitated it during mealtimes.
Assistant Hebrew School Teacher
I taught children how to read and write Hebrew, the stories of the Torah, the prayers needed for a B'nai Mitzvah and an abridged history of the Jewish peoples.
Built and deployed an Android game to the google play marketplace.
Worked on the Open Circuits project through the Rensselaer Center for Open Source
Co-founded and developed the Tournamaker web application through the Rensselaer Center for Open Source
Tutored Foundations of Computer Science through RPI's Advising & Learning Assistance Center
Authors: Noah Prisament, Elliot Anshelevich & Jianan Lin
Published: SAGT 2025 - The 18th International Symposium on Algorithmic Game Theory
DOI: 10.1007/978-3-032-03639-1_9
Abstract:
We consider a variation of the classic Hotelling-Downs model with the addition
of facility synergies. Unlike in the classic model, where clients always use the
facility closest to them, we study clients who prefer locations with many facilities
to those with few facilities while simultaneously attempting to minimize their distance
as well. We show that, in contrast with the classic model, Nash equilibria for our
setting always exist, and, in fact, there always exists a Nash equilibrium such that
the sum of client costs equals the cost of the optimum solution. Our main result
is a bound of 225/64 ≈ 3.516 on the Price of Anarchy for our model,
showing that, although the client behavior is more complex in our model
(and often more realistic depending on the application), the cost of Nash
equilibrium solutions still cannot be much worse than the cost of the
optimum facility placement.
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View on Springer
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