Skip to main content    

An official website of the United States government

Here’s how you know

**Official websites use .gov**              A **.gov** website belongs to an official government organization in the United States.            

**Secure .gov websites use HTTPS**              A **lock** (  LockA locked padlock) or **https://** means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.            

https://www.nist.gov/itl/math/acmd-seminar-mixed-integer-nonlinear-optimization-applications-and-methods

            -  Topics  -  All Topics 
-  Advanced communications 
-  Artificial intelligence 
-  Bioscience 
-  Buildings and construction 
-  Chemistry 
-  Climate 
-  Cybersecurity 
-  Electronics 
-  Energy 
-  Environment 
-  Fire 
-  Forensic science 
-  Health 
-  Information technology 
-  Infrastructure 
-  Manufacturing 
-  Materials 
-  Mathematics and statistics 
-  Metrology 
-  Nanotechnology 
-  Neutron research 
-  Performance excellence 
-  Physics 
-  Public safety 
-  Resilience 
-  Standards 
-  Transportation 
 
            -  Publications 
            -  Labs & Major Programs  -  Laboratories    -  Communications Technology Laboratory 
  -  Engineering Laboratory 
  -  Information Technology Laboratory 
  -  Material Measurement Laboratory 
  -  Physical Measurement Laboratory 
-  User Facilities    -  NIST Center for Neutron Research 
  -  CNST NanoFab 
-  Research Test Beds 
-  Research Projects 
-  Tools & Instruments 
-  Major Programs    -  Baldrige Performance Excellence Program 
  -  CHIPS for America Initiative 
  -  Manufacturing Extension Partnership (MEP) 
  -  Office of Advanced Manufacturing 
  -  Special Programs Office 
  -  Technology Partnerships Office 
 
            -  Services & Resources  -  Standards and Measurements    -  Calibration Services 
  -  Laboratory Accreditation (NVLAP) 
  -  Quality System 
  -  Standard Reference Materials (SRMs) 
  -  Standards.gov 
  -  Time Services 
  -  Office of Weights and Measures 
-  Software 
-  Data    -  Chemistry WebBook 
  -  National Vulnerability Database 
  -  Physical Reference Data 
  -  Standard Reference Data (SRD) 
-  Storefront 
-  License & Patents 
-  Computer Security Resource Center (CSRC) 
-  NIST Research Library 
 
            -  News & Events  -  News 
-  Events 
-  Blogs 
-  Feature Stories 
-  Awards 
-  Video Gallery 
-  Image Gallery 
-  Media Contacts 
 
            -  About NIST  -  About Us    -  Leadership 
  -  Organization Structure 
  -  Budget & Planning 
-  Contact Us 
-  Visit 
-  Careers    -  Student programs 
-  Work with NIST 
-  History    -  NIST Digital Archives 
  -  NIST Museum 
  -  NIST and the Nobel 
-  Educational Resources 
 

Information Technology Laboratory

## Applied and Computational Mathematics Division

-  Projects/Programs 
-  How to Work With Us 
-  NIST Publications Searchable Database 
-  Staff Directory 
-  News & Updates 
-  Resources/Services 

# ACMD Seminar: Mixed-Integer Nonlinear Optimization: Applications and Methods

## Share

Facebook

Linkedin

Twitter

Email

Sven Leyffer*Mathematics and Computer Science Division, Argonne National Lab*

Tuesday, April 18, 2017, 15:30 - 16:30Building 222, Room B263Gaithersburg

Tuesday, April 18, 2017, 13:30 - 14:30Room 1-4058Boulder

**Abstract:** Scientists are increasingly moving from the simulation of complex processes to the optimization, control, and design of complex systems. Many important design problems involve not only continuous variables with nonlinear constraints but also discrete decisions, giving rise to mixed-integer nonlinear programming problems (MINLPs). MINLPs combine the combinatorial complexity of the discrete decisions with the numerical challenges of the nonlinear functions. The last decade has seen a rise in new ideas, algorithmic approaches, and software packages for solving MINLPs. We will discuss some motivating applications of interest to the Department of Energy, and review algorithms for solving MINLPse. We will describe extensions to other classes of MINLP such as conic-constrained MINLPs and special classes of nonlinear functions, emphasizing how to exploit their structure within a solution process. Finally, we will present a new package for solving mixed-integer nonlinear optimization problems, MINOTAUR. The MINOTAUR toolkit is designed to provide a flexible and efficient framework for solving MINLPs. The code is developed in a modular way to enable developers and users to efficiently combine the knowledge of problem structure with algorithmic insights. 

**Speaker Bio:** Born in Hamburg, Germany, Sven obtained his Ph.D. in 1994 from the University of Dundee, working on mixed-integer nonlinear programming problems with Roger Fletcher. He has held postdoc positions at Dundee, Northwestern, and Argonne, where he now works as a Senior Computational Mathematician in the Mathematics and Computer Science Division. Sven is a Senior Fellow of the Computation Institute at the University of Chicago. Sven is a co-editor of Mathematical Programming and served as an editor-in-chief of Mathematical Methods of Operations Research. He serves on the editorial board of Computational Optimization and Applications and Mathematics of Computation. In addition, Sven has served as the INFORMS Optimization Vice-Chair for nonlinear programming and as the Program Director of the SIAM activity group on optimization. Sven was SIAM Vice President for Programs from 2010-2013. Currently, Sven serves as the Secretary of ICIAM. Together with Roger Fletcher and Philippe L. Toint, Sven was awarded the Lagrange prize in optimization in 2006. In 2009, Sven became a SIAM Fellow. In 2013, Sven won the 2012 COAP Best Paper Prize with Chungen Chen and Roger Fletcher for their paper on nonmonotone filter methods. In 2016, Sven was awarded the Farkas Prize for Mid-career Researchers by INFORMS.

**Note:** Visitors from outside NIST must contact Cathy Graham; (301) 975-3800; at least 24 hours in advance.

Part of the ACMD Seminar Series.

Information technologyMathematics and statistics

## Contacts

### HEADQUARTERS

301-975-2000

Webmaster | Contact Us | Our Other Offices

TwitterFacebookLinkedInInstagramYouTubeGiphyRSS FeedMailing List

Feedback

            -  Site Privacy 
            -  Accessibility 
            -  Privacy Program 
            -  Copyrights 
            -  Vulnerability Disclosure 
            -  No Fear Act Policy 
            -  FOIA 
            -  Environmental Policy 
            -  Scientific Integrity 
            -  Information Quality Standards 
            -  Commerce.gov 
            -  Science.gov 
            -  USA.gov 
            -  Vote.gov