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Recent Developments in Discontinuous Galerkin Finite Element Methods for Partial Differential Equations
Xiaobing Feng, Ohannes Karakashian, Yulong Xing, Slimane Adjerid, and Mahboub Baccouch
Editors: Xiaobing Feng, Ohannes Karakashian, and Yulong Xing
Chapter, Adaptivity and Error Estimation for Discontinuous Galerkin Methods, co-authored by Mahboub Baccouch, UNO faculty member.
The field of discontinuous Galerkin finite element methods has attracted considerable recent attention from scholars in the applied sciences and engineering. This volume brings together scholars working in this area, each representing a particular theme or direction of current research. Derived from the 2012 Barrett Lectures at the University of Tennessee, the papers reflect the state of the field today and point toward possibilities for future inquiry. The longer survey lectures, delivered by Franco Brezzi and Chi-Wang Shu, respectively, focus on theoretical aspects of discontinuous Galerkin methods for elliptic and evolution problems. Other papers apply DG methods to cases involving radiative transport equations, error estimates, and time-discrete higher order ALE functions, among other areas. Combining focused case studies with longer sections of expository discussion, this book will be an indispensable reference for researchers and students working with discontinuous Galerkin finite element methods and its applications.
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Online Learning: Common Misconceptions, Benefits and Challenges
Patrick R. Lowenthal, Cindy S. York, Jennifer C. Richardson, Angela M. Hodge, Betty Love, Neal Grandgenett, and Andrew Swift
Editors: Patrick R. Lowenthal, Cindy S. York and Jennifer C. Richardson
Chapter 4, A Flipped Classroom Approach: Benefits and Challenges of Flipping the Learning of Procedural Knowledge, co-authored by Angela Hodge, Betty Love, Neal F. Grandgenett, and Andrew Swift, UNO faculty members.
The number of students taking online courses continues to grow each year.Despite the growth, a large percentage of faculties still don’t accept the value of online learning.
Online educators find themselves in exciting times where they continue advancing the dialogue about online learning, beyond the discussions of “is it as good as face-to-face instruction?” to more nuanced issues such as some of the various benefits, challenges, and misconceptions that go along with learning online.
The purpose of this book is to address the various benefits, challenges, and misconceptions that coincide with online teaching and learning. The audience includes anyone with an interest in online learning, whether they are researchers, designers, instructors, or trainers. This book is organized into several themes that are current and emerging in the field of online learning, including student and instructor supports, instructional approaches, current trends and emerging technologies, reaching new audiences, and planning for the online learning environment.
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Hilbert Spaces Induced by Toeplitz Covariance Kernels
Mihaela Teodora Matache and Valentin Matache
This is a book chapter that appeared in Stochastic Theory and Control by Bozenna Pasik-Duncan (ed.).
This volume contains almost all of the papers that were presented at the Workshop on Stochastic Theory and Control that was held at the Univ- sity of Kansas, 18–20 October 2001. This three-day event gathered a group of leading scholars in the ?eld of stochastic theory and control to discuss leading-edge topics of stochastic control, which include risk sensitive control, adaptive control, mathematics of ?nance, estimation, identi?cation, optimal control, nonlinear ?ltering, stochastic di?erential equations, stochastic p- tial di?erential equations, and stochastic theory and its applications. The workshop provided an opportunity for many stochastic control researchers to network and discuss cutting-edge technologies and applications, teaching and future directions of stochastic control. Furthermore, the workshop focused on promoting control theory, in particular stochastic control, and it promoted collaborative initiatives in stochastic theory and control and stochastic c- trol education. The lecture on “Adaptation of Real-Time Seizure Detection Algorithm” was videotaped by the PBS. Participants of the workshop have been involved in contributing to the documentary being ?lmed by PBS which highlights the extraordinary work on “Math, Medicine and the Mind: Discovering Tre- ments for Epilepsy” that examines the e?orts of the multidisciplinary team on which several of the participants of the workshop have been working for many years to solve one of the world’s most dramatic neurological conditions. Invited high school teachers of Math and Science were among the part- ipants of this professional meeting.
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Encyclopedia of Microcomputers
Allen Kent, James G. Williams, Richard S. Barr, and Betty Love
Editors: Allen Kent and James G. Williams
Chapter, Reporting on Parallel Software, co-authored by Betty Love, UNO faculty member
The Encyclopedia of Microcomputers serves as the ideal companion reference to the popular Encyclopedia of Computer Science and Technology. Now in its 10th year of publication, this timely reference work details the broad spectrum of microcomputer technology, including microcomputer history; explains and illustrates the use of microcomputers throughout academe, business, government, and society in general; and assesses the future impact of this rapidly changing technology.
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Computer Science and Operations Research: New Developments in Their Interfaces
Osman Balci, Ramesh Sharda, Stavros A. Zenios, José H. Dulá, Richard V. Helgason, Betty Love, and Richard S. Barr
Editors: Osman Balci, Ramesh Sharda, and Stavros A. Zenios
Chapter, Preprocessing Schemes and a Solution Method for the Convex Hull Problem in a Multidimensional Space, co-authored by Betty Love, UNO faculty member.
Chapter, On Reporting the Speedup of Parallel Algorithms: A Survey of Issues and Experts, co-authored by Betty Love, UNO faculty member.
The interface of Operation Research and Computer Science - although elusive to a precise definition - has been a fertile area of both methodological and applied research. The papers in this book, written by experts in their respective fields, convey the current state-of-the-art in this interface across a broad spectrum of research domains which include optimization techniques, linear programming, interior point algorithms, networks, computer graphics in operations research, parallel algorithms and implementations, planning and scheduling, genetic algorithms, heuristic search techniques and data retrieval.
Books and monographs written or edited in whole or in part by the Mathematics Department faculty members are collected here.
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