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Articles 23041 - 23070 of 27265
Full-Text Articles in Entire DC Network
Another Response To Dancis, Ted Eisenberg
Another Response To Dancis, Ted Eisenberg
Humanistic Mathematics Network Journal
No abstract provided.
Evaluation In The Mathematics Classroom, Emam Hoosain, B. Naraine
Evaluation In The Mathematics Classroom, Emam Hoosain, B. Naraine
Humanistic Mathematics Network Journal
No abstract provided.
Calculus For The Liberal Arts: A Humanistic Approach, Kathleen Shannon
Calculus For The Liberal Arts: A Humanistic Approach, Kathleen Shannon
Humanistic Mathematics Network Journal
No abstract provided.
Ode To Mathematics, Sandra Z. Keith
Ode To Mathematics, Sandra Z. Keith
Humanistic Mathematics Network Journal
No abstract provided.
Excerpts From Ivan’S Commandments To Himself, Ivan Niven
Excerpts From Ivan’S Commandments To Himself, Ivan Niven
Humanistic Mathematics Network Journal
No abstract provided.
Divisibility: A Problem Solving Approach Through Generalizing And Specializing, Rina Zazkis
Divisibility: A Problem Solving Approach Through Generalizing And Specializing, Rina Zazkis
Humanistic Mathematics Network Journal
No abstract provided.
The Role Of Values In Mathematics Education, Murad Jurdak
The Role Of Values In Mathematics Education, Murad Jurdak
Humanistic Mathematics Network Journal
No abstract provided.
Word Problems, Don Pfaff
Roots, Don Pfaff
Rental Harmony: Sperner's Lemma In Fair Division, Francis E. Su
Rental Harmony: Sperner's Lemma In Fair Division, Francis E. Su
All HMC Faculty Publications and Research
No abstract provided in this article.
Anneli Lax: In Memoriam, Elena Anne Corie Marchisotto
Anneli Lax: In Memoriam, Elena Anne Corie Marchisotto
Humanistic Mathematics Network Journal
No abstract provided.
Teaching A Humanities Course: A Mathematician’S View, Bill Marion
Teaching A Humanities Course: A Mathematician’S View, Bill Marion
Humanistic Mathematics Network Journal
No abstract provided.
What Is The Thing Called “Humanistic Mathematics?”, Tamar Apel
What Is The Thing Called “Humanistic Mathematics?”, Tamar Apel
Humanistic Mathematics Network Journal
No abstract provided.
Mathematics Is An Art: The Story Of A One-Time Course, Paul Fjelstad
Mathematics Is An Art: The Story Of A One-Time Course, Paul Fjelstad
Humanistic Mathematics Network Journal
No abstract provided.
A Reflection On The Word: Remembering The Word “Word” Is Reflexive, Paul Fjelstad, Ivan Ginchev
A Reflection On The Word: Remembering The Word “Word” Is Reflexive, Paul Fjelstad, Ivan Ginchev
Humanistic Mathematics Network Journal
No abstract provided.
Book Review: A Tour Of The Calculus By David Berlinski, Bernard Fleishman
Book Review: A Tour Of The Calculus By David Berlinski, Bernard Fleishman
Humanistic Mathematics Network Journal
No abstract provided.
Book Review: Mathematical Reflections By Peter Hilton, Derek Holton And Jean Pedersen, Ladnor Geissinger
Book Review: Mathematical Reflections By Peter Hilton, Derek Holton And Jean Pedersen, Ladnor Geissinger
Humanistic Mathematics Network Journal
No abstract provided.
Self-Consistency Algorithms, Thaddeus Tarpey
Self-Consistency Algorithms, Thaddeus Tarpey
Mathematics and Statistics Faculty Publications
The k-means algorithm and the principal curve algorithm are special cases of a self-consistency algorithm. A general self-consistency algorithm is described and results are provided describing the behavior of the algorithm for theoretical distributions, in particular elliptical distributions. The results are used to contrast the behavior of the algorithms when applied to a theoretical model and when applied to finite datasets from the model. The algorithm is also used to determine principal loops for the bivariate normal distribution.
Computational Geometry Column 36, Joseph O'Rourke
Computational Geometry Column 36, Joseph O'Rourke
Computer Science: Faculty Publications
Two results in "computational origami" are illustrated.
The Weyr Characteristic, Helene Shapiro
The Weyr Characteristic, Helene Shapiro
Mathematics & Statistics Faculty Works
No abstract provided.
Hopf Bifurcation In Models For Pertussis Epidemiology, Herbert W. Hethcote, Yi Li, Zhujun Jing
Hopf Bifurcation In Models For Pertussis Epidemiology, Herbert W. Hethcote, Yi Li, Zhujun Jing
Mathematics and Statistics Faculty Publications
Pertussis (whooping cough) incidence in the United States has oscillated with a period of about four years since data was first collected in 1922. An infection with pertussis confers immunity for several years, but then the immunity wanes, so that reinfection is possible. A pertussis reinfection is mild after partial loss of immunity, but the reinfection can be severe after complete loss of immunity. Three pertussis transmission models with waning of immunity are examined for periodic solutions. Equilibria and their stability are determined. Hopf bifurcation of periodic solutions around the endemic equilibrium can occur for some parameter values in two …
A Perturbation Of A Periodic Hamiltonian System, Gregory S. Spradlin
A Perturbation Of A Periodic Hamiltonian System, Gregory S. Spradlin
Publications
No abstract provided.
A Hierarchy Of Maps Between Compacta, Paul Bankston
A Hierarchy Of Maps Between Compacta, Paul Bankston
Mathematics, Statistics and Computer Science Faculty Research and Publications
Let CH be the class of compacta (i.e., compact Hausdorff spaces), with BS the subclass of Boolean spaces. For each ordinal α and pair $\langle K,L\rangle$ of subclasses of CH, we define Lev≥α K,L), the class of maps of level at least α from spaces in K to spaces in L, in such a way that, for finite α, Lev≥α (BS,BS) consists of the Stone duals of Boolean lattice embeddings that preserve all prenex first-order formulas of quantifier rank α. Maps of level ≥ 0 are just the continuous surjections, and the maps of level ≥ 1 are …
What Else Do We Forget To Tell Our Teachers?: A Response To Dancis, Stephen Sproule
What Else Do We Forget To Tell Our Teachers?: A Response To Dancis, Stephen Sproule
Humanistic Mathematics Network Journal
No abstract provided.
Interior-Point Methods And Modern Optimization Codes, Goran Lesaja
Interior-Point Methods And Modern Optimization Codes, Goran Lesaja
Mathematical Sciences: Faculty Publications
During the last fifteen years we have witnessed an explosive development in the area of optimization theory due to the introduction and development of interior-point methods. This development has quickly led to the development of new and more efficient optimization codes. In this paper, the basic elements of interior-point methods for linear programming will be discussed as well as extensions to convex programming, complementary problems, and semidefinite programming. Interior-point methods are polynomial and effective algorithms based on Newton 's method. Since they have been introduced, the classical distinction between linear programming methods, based on the simplex algorithm, and those methods …
Pushpush Is Np-Hard In 3d, Joseph O'Rourke, The Smith Problem Solving Group
Pushpush Is Np-Hard In 3d, Joseph O'Rourke, The Smith Problem Solving Group
Computer Science: Faculty Publications
We prove that a particular pushing-blocks puzzle is intractable in 3D. The puzzle, inspired by the game PushPush, consists of unit square blocks on an integer lattice. An agent may push blocks (but never pull them) in attempting to move between given start and goal positions. In the PushPush version, the agent can only push one block at a time, and moreover, each block, when pushed, slides the maximal extent of its free range. We prove this version is NP-hard in 3D by reduction from SAT. The corresponding problem in 2D remains open.
A Construction Of Orthogonal Compactly-Supported Multiwavelets On $\R^{2}$, Bruce Kessler
A Construction Of Orthogonal Compactly-Supported Multiwavelets On $\R^{2}$, Bruce Kessler
Mathematics Faculty Publications
This paper will provide the general construction of the continuous, orthogonal, compactly-supported multiwavelets associated with a class of continuous, orthogonal, compactly-supported scaling functions that contain piecewise linears on a uniform triangulation of $\R^2$. This class of scaling functions is a generalization of a set of scaling functions first constructed by Donovan, Geronimo, and Hardin. A specific set of scaling functions and associated multiwavelets with symmetry properties will be constructed.
On Measuring The Cost Of Children:The Case Of Rural Maharashtra., Manisha Chakrabarty Dr.
On Measuring The Cost Of Children:The Case Of Rural Maharashtra., Manisha Chakrabarty Dr.
Doctoral Theses
In this dissertation we have attempted to measure the cost of children, which plays a crucial role in matters relating to welfare and public policy like child benefits and compensation policies of the government. The cost is measured based on the single equation as well as the systems approach using the 38th round National Sample Survey (NSS) data on household consumer expenditure for rural Maharashtra (relating to the period of January to December, 1983).The first chapter provides a brief account of the basic literature on empirical demand analysis which is relevant for welfare comparison between households. To be specific in …
Generalized Averages For Solutions Of Two-Point Dirichlet Problems, Philip Korman, Yi Li
Generalized Averages For Solutions Of Two-Point Dirichlet Problems, Philip Korman, Yi Li
Mathematics and Statistics Faculty Publications
For very general two-point boundary value problems we show that any positive solution satisfies a certain integral relation. As a consequence we obtain some new uniqueness and multiplicity results.
Evaluating Maximum Likelihood Estimation Methods To Determine The Hurst Coefficient, Christina Marie Kendziorski, J. B. Bassingthwaighte, Peter J. Tonellato
Evaluating Maximum Likelihood Estimation Methods To Determine The Hurst Coefficient, Christina Marie Kendziorski, J. B. Bassingthwaighte, Peter J. Tonellato
Mathematics, Statistics and Computer Science Faculty Research and Publications
A maximum likelihood estimation method implemented in S-PLUS (S-MLE) to estimate the Hurst coefficient (H) is evaluated. The Hurst coefficient, with 0.5<HS-MLE was developed to estimate H for fractionally differenced (fd) processes. However, in practice it is difficult to distinguish between fd processes and fractional Gaussian noise (fGn) processes. Thus, the method is evaluated for estimating H for both fd and fGn processes. S-MLE gave biased results of H for fGn processes of any length and for fd processes of lengths less than 210. A modified method is proposed to correct for …