NEOS Optimizes Itself: New Solvers and Authentication Services Added
Within the past year NEOS has made its services more resilient, sophisticated and diverse.
Optimization is an act, process, or methodology of making something as fully perfect or effective as possible. Almost everything can be improved, so optimization’s relevance spans to almost every business or process to make it operate more efficiently and effectively.
Optimization employs mathematical models to discover more efficient ways to control and manage systems, ranging from radiation treatments to data centers and power networks. Optimization researchers at WID solve systems-level problems in emerging science and engineering applications by using optimization technologies in an integrated, interdisciplinary, and collaborative fashion. This includes finding solutions to problems that are the most cost-effective or achieve the highest performance under given constraints by maximizing desired elements and minimizing the undesired elements.
Optimization models promise better process planning that can be tied to and offered by social, economic, and financial systems. Certain social and political constraints have caused optimization to go largely unexplored, as have methods for translating plans into policy. We hope to draw on collaborations with communications experts, political scientists, sociologists, economists, behavioral scientists, and business professionals to further leverage optimization’s potential for boosting efficiencies and improving systems that reach into all corners of our lives.
Learn more about Optimization at WID. It is a key component of WID’s Data Science Hub.
Within the past year NEOS has made its services more resilient, sophisticated and diverse.
Victor Zavala, WID Optimization Affiliate and Professor of Chemical and Biological Engineering, spoke at the Discovery Seminar Series in February, 2016, about optimization of energy systems.
Professor Thomas Rutherford, WID Optimization, and colleagues used numerical models to examine whether the threat of carbon tariffs might lower the cost of reductions in world carbon emissions in a paper published in the February issue of the American Economic Journal: Economic Policy.
Discovery Fellow Laura Albert McLay talks to the Cap Times about military maneuvers, the lottery, March Madness and the satisfaction she derives from teaching.
With the holiday bowl games and College Football Playoff upon us, we profile Laura Albert, who successfully did the math on predicting the finalists.
The New Yorker is using a machine learning system developed by WID Optimization researchers to sort through captions for their weekly cartoon caption contest.
UW-Madison and WID are on the front lines of the applied algebra movement, changing the way scientists in a wide range of disciplines solve problems.
Tools for Discovery is a monthly profile series that inspects the computer programs, gadgets and methods behind WID’s ideas and discoveries.
Discovery Fellow, Jim Luedtke, discusses the growing field of Optimization and addresses some criticism of the discipline in this June 8, 2015 edition of UW College of Engineering podcast.
Michael Ferris and Stephen Wright, principal investigators in the WID Optimization Theme comment on New York Times Magazine article “A Sucker is Optimized Every Minute”.
WID Optimization teams with local wildlife agencies to improve Great Lakes basin habitat.
How can researchers extract useful information from patient data to develop life-saving treatments while making sure records stay private and protected? A WID collaboration looks for an answer.
What if a computer program could take a problem you’re trying to solve and send back the most efficient solution?
Harvesting data and harvesting crops? There’s an app for that.
Math’s everywhere — at least that’s the message from Discovery Fellow Jordan Ellenberg in his new book “How Not To Be Wrong.” Read a conversation with him on math’s impact on our lives, from science to religion.
WID collaborator and Tufts University researcher Ben Shapiro taps into technology to make learning fun. Read more about why compassion is his ultimate tool for discovery.
Thomas “Rock” Mackie, WID partner at the Morgridge Institute for Research, shares his essentials for success in engineering. Topping his list? Excellent collaborators and team members.
WID researchers develop algorithms for many applications and industries, but one side project boasts a more playful goal: Mapping brew preferences.
National and international experts convene at the annual Mixed Integer Programming Workshop, co-hosted by WID this year. Learn how this research affects energy and water networks, traffic flow, and even health care systems.
Kevin Jamieson hits the whiteboard in efforts to make computer algorithms more quick and efficient.
UW–Madison Mathematics Professor and Discovery Fellow Jordan Ellenberg provides perspective on programming in math, Google Hangout and why our brains are the ultimate tool for discovery.
Optimization researcher Michael Ferris has been honored as a SIAM Fellow for pushing math research into industry.
What do math and movies have in common? WID researcher Ben Recht explains how incomplete data sets and the “Netflix problem” aren’t that different after all.
A group of WID experts crunched the numbers for Health Information Exchange participation in one Wisconsin area and found a price that could save hospitals money in the long-run.