SIAM Unwrapped - August 2017

SIAM members,

We are proud to say last month’s joint SIAM Annual Meeting (AN17), SIAM Conference on Industrial and Applied Geometry (GD17), and SIAM Conference on Control and Its Applications was a great success – thanks to you! We saw more than 1,100 attendees, 1,000+ presentations, 86 poster presentations, 40 invited talks and prize lectures, and so much more. Weren’t able to make it to Pittsburgh, or just interested in checking out a presentation you may have missed? Check out the new collection of select talks, now available through SIAM Presents.

Thanks again for a great week – looking forward to AN18 next summer in Portland, Oregon already!  

Becky Kerner
Editor

Foundations of Applied Mathematics, Volume I: Mathematical Analysis
Jeffrey Humpherys, Tyler J. Jarvis, and Emily J. Evans

This book provides the essential foundations of both linear and nonlinear analysis necessary for understanding and working in twenty-first century applied and computational mathematics. In addition to the standard topics, this text includes several key concepts of modern applied mathematical analysis that should be, but are not typically, included in advanced undergraduate and beginning graduate mathematics curricula. This material is the introductory foundation upon which algorithm analysis, optimization, probability, statistics, differential equations, machine learning, and control theory are built. When used in concert with the free supplemental lab materials, this text teaches students both the theory and the computational practice of modern mathematical analysis. Learn more.

Formulation and Numerical Solution of Quantum Control Problems
A. Borzì, G. Ciaramella, and M. Sprengel

This book provides an introduction to representative nonrelativistic quantum control problems and their theoretical analysis and solution via modern computational techniques. The quantum theory framework is based on the Schrödinger picture, and the optimization theory, which focuses on functional spaces, is based on the Lagrange formalism. The computational techniques represent recent developments that have resulted from combining modern numerical techniques for quantum evolutionary equations with sophisticated optimization schemes. Both finite and infinite-dimensional models are discussed, including the three-level Lambda system arising in quantum optics, multispin systems in NMR, a charged particle in a well potential, Bose–Einstein condensates, multiparticle spin systems, and multiparticle models in the time-dependent density functional framework. Learn more.

An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems
Luis Tenorio

This book bridges applied mathematics and statistics by providing a basic introduction to probability and statistics for uncertainty quantification in the context of inverse problems, as well as an introduction to statistical regularization of inverse problems. The author covers basic statistical inference, introduces the framework of ill-posed inverse problems, and explains statistical questions that arise in their applications. Learn more. 

Model Reduction and Approximation: Theory and Algorithms
Edited by Peter Benner, Albert Cohen, Mario Ohlberger, and Karen Willcox

Many physical, chemical, biomedical, and technical processes can be described by partial differential equations or dynamical systems. In spite of increasing computational capacities, many problems are of such high complexity that they are solvable only with severe simplifications, and the design of efficient numerical schemes remains a central research challenge. This book presents a tutorial introduction to recent developments in mathematical methods for model reduction and approximation of complex systems. Learn more.

Inverse problems need to be solved in order to properly interpret indirect measurements. Often, inverse problems are ill-posed and sensitive to data errors. Therefore one has to incorporate some sort of regularization to reconstruct significant information from the given data. This book presents the main achievements that have emerged in regularization theory over the past 50 years, focusing on linear ill-posed problems and the development of methods that can be applied to them. Some of this material has previously appeared only in journal articles. Learn more.

FEATURED VIDEO

Teachers Tell All: Why is the Math Modeling Challenge Important?

As we seek a new named sponsor for the Math Modeling Challenge, we’re throwing it back to the spring when we attended the National Council of Teachers of Mathematics meeting, sharing with high school math educators about the Challenge and other free math modeling resources we have for them and their students. Why is the Challenge helpful and important? Find out from educators.

SIAM AN17 - IT'S A WRAP

Session Presentations Now Available

View and listen to select invited and prize lectures from last month’s incredible AN17 and CT17 meetings, including Pattern Formation in the Drylands: Self Organization in Semi-Arid Ecosystems, given by Mary Silber, University of Chicago and Bio-Inspired Dynamics for Multi-Agent Decision-Making , given by Naomo E. Leonard, Princeton University. Also included from AN17 are select minisymposia and two minitutorials. Check them out now. 

State of the State: Session on STEM Funding

Get the update on the status of funding in applied mathematics and computational science. Miriam Quintal of Lewis-Burke Associates, Washington, DC, provided details during a panel session on appropriations and administration outlook during AN17. Check out the presentation to get the scoop.

Thinking Ahead to Summer 2018?

Join us in Portland! Check out the list of invited speakers already lined up for 2018 SIAM Annual Meeting, happening July 9-13, in Portland, Oregon. Keep an eye open for our announcing the call for submissions, scheduled to be posted in September 2017.

CONFERENCE UPDATES

SIAM Conference Registrations, Submissions & Deadlines

Check out the SIAM Conference Calendar for a full list of SIAM meetings and those sponsored by SIAM and review the Student Travel Award page to find out what conferences are offering awards.

PRIZES & AWARDS

Inaugural SIAG/AG Early Career Prize: Pierre Lairez

Congratulations go to Dr. Pierre Lairez of Inria Saclay Ile-de-France, who was awarded the 2017 SIAG/AG Early Career Prize earlier this month at the SIAM Conference on Applied Algebraic Geometry! The prize was awarded for Dr. Lairez’s 2016 Foundations of Computational Mathematics paper which represents the final step in the resolution of Smale’s 17th problem. This new prize recognizes an outstanding early career researcher in the field of algebraic geometry and its applications for distinguished contributions in the three calendar years prior to the award year. Learn more about Dr. Lairez’s research in his Q&A.

Check out all prizes with open nominations and read all about the SIAM Prize Program. If you have any questions, please contact us at [email protected].