NEOS Optimizes Itself: New Solvers and Authentication Services Added
Within the past year NEOS has made its services more resilient, sophisticated and diverse.
Tag: optimization
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.
Optimization of Energy Systems
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.
The Strategic Value of Carbon Tariffs
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.
Q&A: What’s so punk rock about operations research? Plenty, says UW’s Laura Albert McLay
Discovery Fellow Laura Albert McLay talks to the Cap Times about military maneuvers, the lottery, March Madness and the satisfaction she derives from teaching.
Tools for Discovery: Laura Albert
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 Science of Funny: Active Machine Learning & Cartoons
The New Yorker is using a machine learning system developed by WID Optimization researchers to sort through captions for their weekly cartoon caption contest.
The Algebraic Revolution: Solving for Chocolate
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: Laurent Lessard
Tools for Discovery is a monthly profile series that inspects the computer programs, gadgets and methods behind WID’s ideas and discoveries.
Sound Engineering: UW-Madison’s burgeoning optimization community
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.
The Natural Order and Divine Law of Optimization
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”.
Going With the Flow: Optimizing Ecology
WID Optimization teams with local wildlife agencies to improve Great Lakes basin habitat.
Researchers Search for New Ways to Balance Big Data and Privacy
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.
Optimizing the World, One Problem at a Time
What if a computer program could take a problem you’re trying to solve and send back the most efficient solution?
Harvesting the Power of Big Data in Agriculture
Harvesting data and harvesting crops? There’s an app for that.
A World of Math: WID Researcher Jordan Ellenberg on “How Not To Be Wrong”
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.
Tools for Discovery: Ben Shapiro
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.
Tools for Discovery: Rock Mackie
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.
Closing the Loop on Big Data… One Beer at a Time
WID researchers develop algorithms for many applications and industries, but one side project boasts a more playful goal: Mapping brew preferences.
MIP Workshop Promotes Synergies among Optimization Experts
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.
Graduate Student Refines Formulas to Optimize How Computers “Think”
Kevin Jamieson hits the whiteboard in efforts to make computer algorithms more quick and efficient.
Tools for Discovery: Jordan Ellenberg
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 among 2013 SIAM Fellowship Class for Complementarity Research
Optimization researcher Michael Ferris has been honored as a SIAM Fellow for pushing math research into industry.
Tackling ‘Netflix Problem,’ WID Researcher Snags Lagrange Prize
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.
Multidisciplinary Team Maps Costs of Participating in Health Information Exchanges
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.