Professor Iosif Pinelis has published a paper, “Nonnegative sum-symmetric matrices and optimal-score
partitions,” in the journal Positivity published by Springer Nature Online First. View the paper online.
In the second presentation of our fall award series, Cécile Piret (Math), will discuss her use of 3-D printing techniques to visualize multivariable functions in teaching Calculus 3, titled “3-D Printing for Mathematics Education.” Her innovative approach has illustrated mathematical concepts that can be studied in unique and practical ways and was recognized as part of the Dean’s Teaching Showcase. Piret will present from 3:30 to 4:30 p.m. Thursday, Oct. 11.
Formal recognition of this award for Innovative and Out of Class Teaching will follow her presentation. Don’t miss this opportunity to learn how you might innovate your own teaching and recognize Cécile’s success. Coffee and light refreshments will be provided to those who register by Monday, Oct 8.
Yang Yang is the principal investigator on a project that has received a $236,978 research and development grant from the National Science Foundation (NSF). The project is titled “High-Order Numerical Methods for Convection-Diffusion Equations with Unbounded Singularities.”
This is a three-year project.
A book co-authored by Don Kreher, titled “Graphs, Algorithms, and Optimization,” Second Edition, has been selected for review by Choice, a journal for librarians. Only three books from the publisher’s entire mathematics and statistics portfolio have been chosen for review this year.
In January, Choice will select their Book of the Year from the books reviewed. The review of Kreher’s book, co-authored by William Kocay of the University of Manitoba, places it in nomination.
Iosif Pinelis contributed two chapters, “On the nonuniform Berry—Esseen bound” and “On the Berry—Esseen bound for the Student statistic,” to the book “Inequalities and Extremal Problems in Probability and Statistics: Selected Topics,” just published by Elsevier’s imprint Academic Press. Pinelis is also the editor of the book.
The other contributing authors are V. de la Peña (Columbia University), R. Ibragimov (Imperial College London), A. Osȩkowski (University of Warsaw, Poland) and I. Shevtsova (Moscow University, Russia).
Also, Pinelis published the paper, “(Quasi)additivity Properties of the Legendre—Fenchel Transform and its Inverse, with Applications in Probability“, in the Journal of Convex Analysis 24 (2017), No. 3, online first.
Min Wang is the principal investigator on a project that has received a $10,000 grant from the National Science Foundation. The project is titled, “Bayesian Inference in Statistics and Statistical Genetics.” This is a one-year project.
The Undergraduate Research Symposium highlights the amazing cutting-edge research being conducted on Michigan Tech’s campus by some of our best and brightest undergraduate students.
The students showcasing their work today have spent a significant portion of the past year working alongside Michigan Tech faculty and graduate students to explore, discover and create new knowledge. They’ve spent long hours in the lab or out in the field designing experiments, gathering data, creating new models and testing hypotheses. They’ve applied their classroom knowledge in new and sometimes unexpected ways, and developed new skills that will propel them forward in their careers.
Anthony Marcich – Applied and Computational Mathematics
Title: Preliminary Work for Autochrome Photograph Reconstruction: Scanning and Processing Design
Advisor: Dr. Cecile Piret
Overview: Marcich goal is to use Radial Basis Functions methods (RBF) to construct smooth and accurate images from scans of these photographs. Their investigation of RBF requires processing scanned photos into nodes. They then described the initial scanning and processing work necessary to obtain these nodes.
E. Yasmine Walton-Durst – Mathematics
Title: Rayleigh–Bénard Convection in Michigan Tech’s Cloud Chamber – A Statistical Analysis of High Frequency Temperature Fluctuations
Advisor: Dr. Will Cantrell
Overview: Walton-Durst used time series analysis and other statistical methods to identify trends in temperature fluctuations from a second to several minutes. We hypothesize that data from the temperature sensors can provide a signature of the characteristic fluid movement within the chamber.
Madison Heeringa – Acutarial Science Mathematics
Title: Finding Structure in Data
Advisor: Dr. Benjamin Ong
Overview: Heeringa’s goal is to learn about and understand PCA and multi-scale PCA. Which will eventually be used to classify land and canopy cover in satellite images.
Iosif Pinelis published the paper “An Involution Inequality for the Kullback-Leibler Divergence,” in Math Inequal Appl 20 (2017).