Subproduct Systems And Cartesian Systems: New Results On Factorial Languages And Their Relations With Other Areas,
2020
Universität Greifswald, 17487 Greifswald, Germany
Subproduct Systems And Cartesian Systems: New Results On Factorial Languages And Their Relations With Other Areas, Malte Gerhold, Michael Skeide
Journal of Stochastic Analysis
No abstract provided.
On The Construction And Mathematical Analysis Of The Wavelet Transform And Its Matricial Properties,
2020
Universidad Mayor de San Simón
On The Construction And Mathematical Analysis Of The Wavelet Transform And Its Matricial Properties, Diego Sejas Viscarra
Rose-Hulman Undergraduate Mathematics Journal
We study the properties of computational methods for the Wavelet Transform and its Inverse from the point of view of Linear Algebra. We present a characterization of such methods as matrix products, proving in particular that each iteration corresponds to the multiplication of an adequate unitary matrix. From that point we prove that some important properties of the Continuous Wavelet Transform, such as linearity, distributivity over matrix multiplication, isometry, etc., are inherited by these discrete methods.
This work is divided into four sections. The first section corresponds to the classical theoretical foundation of harmonic analysis with wavelets; it is used …
A Connection Between Quadratic Rational Maps And Linear Fractional Maps,
2020
Coe College
A Connection Between Quadratic Rational Maps And Linear Fractional Maps, Laura Schlesinger, Anna Marek, Ella White, Danqi Yin
Rose-Hulman Undergraduate Mathematics Journal
This research project is an investigation into quadratic rational maps, $\vp$, of one complex variable that map the unit disk to itself. Previous research \cite{brittney} shows that for each $\vp$, a corresponding linear fractional map $\zeta$ can be found using the coefficients of $\vp$, and this $\zeta$ can be used to characterize functions in the kernel of the adjoint of the composition operator with symbol $\vp$, defined on a space of analytic functions. In this paper, we show sufficient conditions to ensure that certain cases of $\vp$ map the unit disk to itself and find all the forms of $\zeta$. …
Quantum Markov Chains Associated With Unitary Quantum Walks,
2020
University College, Yonsei University, 85 Songdogwahak-ro, Yeonsu-gu, Incheon 21983, Korea
Quantum Markov Chains Associated With Unitary Quantum Walks, Chul Ki Ko, Hyun Jae Yoo
Journal of Stochastic Analysis
No abstract provided.
Invariant Projections For Covariant Quantum Markov Semigroups,
2020
Politecnico di Milano
Invariant Projections For Covariant Quantum Markov Semigroups, Franco Fagnola, Emanuela Sasso, Veronica Umanità
Journal of Stochastic Analysis
No abstract provided.
Pauli Matrices: A Triple Of Accardi Complementary Observables,
2020
Centro de Investigación en Matemáticas, A.C. (CIMAT) Guanajuato, Gto. 36023, Mexico
Pauli Matrices: A Triple Of Accardi Complementary Observables, Stephen Bruce Sontz
Journal of Stochastic Analysis
No abstract provided.
Preface,
2020
University of Mary Washington
Preface, Julius Esunge, Brian C. Hall, Ambar N. Sengupta, Aurel Stan
Journal of Stochastic Analysis
No abstract provided.
The Decline Of The Mid-Range Jump Shot In Basketball: A Study Of The Impact Of Data Analytics On Shooting Habits In The Nba,
2020
Bryant University
The Decline Of The Mid-Range Jump Shot In Basketball: A Study Of The Impact Of Data Analytics On Shooting Habits In The Nba, Shawn Kilcoyne
Honors Projects in Mathematics
The purpose of this thesis paper is to investigate the strategic shift away from the mid-range jump shot in basketball over the past decade. This paper will cover the rationale for the decline of the mid-range, as well as the general impact of data analytics on the way the game of basketball is played at the professional level. Following a review of the existing literature relating to the use of analytics in the NBA, this paper will analyze the differences in shooting habits between two seven-season periods. Data visualization tools, including boxplots, statistical trends, and distribution plots, will be used …
Analyzing Yankees And Red Sox Sentiment Over The Course Of A Season,
2020
Bryant University
Analyzing Yankees And Red Sox Sentiment Over The Course Of A Season, Connor Koch
Honors Projects in Data Science
This paper investigates data collected on twitter which references the Yankees or Red Sox during the 2020 Major League Baseball (MLB) season. The objective is to analyze the sentiment of tweets referencing the Yankees and Red Sox over the course of the season. In addition, an investigation of the networks within the data and the topics that were prevalent will be conducted. The 2020 MLB season was started late because of the COVID-19 pandemic and was a season like no other. The expectation of a dataset revolving around baseball is that the topics discussed would be about baseball. The findings …
Convex Analysis Of Minimal Time And Signed Minimal Time Functions,
2020
Duy Tan University
Convex Analysis Of Minimal Time And Signed Minimal Time Functions, D. V. Cuong, B. S. Mordukhovich, Mau Nam Nguyen, M. L. Wells
Mathematics and Statistics Faculty Publications and Presentations
In this paper we first consider the class of minimal time functions in the general setting of locally convex topological vector (LCTV) spaces. The results obtained in this framework are based on a novel notion of closedness of target sets with respect to constant dynamics. Then we introduce and investigate a new class of signed minimal time functions, which are generalizations of the signed distance functions. Subdifferential formulas for the signed minimal time and distance functions are obtained under the convexity assumptions on the given data.
A Novel Framework Using Neutrosophy For Integrated Speech And Text Sentiment Analysis,
2020
University of New Mexico
A Novel Framework Using Neutrosophy For Integrated Speech And Text Sentiment Analysis, Florentin Smarandache, Kritika Mishra, Ilanthenral Kandasamy, Vasantha Kandasamy W.B.
Branch Mathematics and Statistics Faculty and Staff Publications
With increasing data on the Internet, it is becoming difficult to analyze every bit and make sure it can be used efficiently for all the businesses. One useful technique using Natural Language Processing (NLP) is sentiment analysis. Various algorithms can be used to classify textual data based on various scales ranging from just positive-negative, positive-neutral-negative to a wide spectrum of emotions. While a lot of work has been done on text, only a lesser amount of research has been done on audio datasets. An audio file contains more features that can be extracted from its amplitude and frequency than a …
Weather Derivatives And The Market Price Of Risk,
2020
University of Mary Washington, Fredericksburg, Virginia USA
Weather Derivatives And The Market Price Of Risk, Julius Esunge, James J. Njong
Journal of Stochastic Analysis
No abstract provided.
Numerical Computations Of Vortex Formation Length In Flow Past An Elliptical Cylinder,
2020
University of Pittsburgh
Numerical Computations Of Vortex Formation Length In Flow Past An Elliptical Cylinder, Matthew Karlson, Bogdan Nita, Ashwin Vaidya
Department of Mathematics Faculty Scholarship and Creative Works
We examine two dimensional properties of vortex shedding past elliptical cylinders through numerical simulations. Specifically, we investigate the vortex formation length in the Reynolds number regime 10 to 100 for elliptical bodies of aspect ratio in the range 0.4 to 1.4. Our computations reveal that in the steady flow regime, the change in the vortex length follows a linear profile with respect to the Reynolds number, while in the unsteady regime, the time averaged vortex length decreases in an exponential manner with increasing Reynolds number. The transition in profile is used to identify the critical Reynolds number which marks the …
Exchangeably Weighted Bootstraps Of Martingale Difference Arrays Under The Uniformly Integrable Entropy,
2020
Alliance Sorbonne Universités, Université de Technologie de Compiègne, L.M.A.C., Compiègne, France
Exchangeably Weighted Bootstraps Of Martingale Difference Arrays Under The Uniformly Integrable Entropy, Salim Bouzebda, Nikolaos Limnios
Journal of Stochastic Analysis
No abstract provided.
On An Asset Model Of Hobson-Rogers Type,
2020
4F Astro-Math Building, National Taiwan University, Taipei 10617, Taiwan
On An Asset Model Of Hobson-Rogers Type, Narn-Rueih Shieh
Journal of Stochastic Analysis
No abstract provided.
Spectral Sequences For Almost Complex Manifolds,
2020
CUNY Graduate Center
Spectral Sequences For Almost Complex Manifolds, Qian Chen
Dissertations, Theses, and Capstone Projects
In recent work, two new cohomologies were introduced for almost complex manifolds: the so-called J-cohomology and N-cohomology [CKT17]. For the case of integrable (complex) structures, the former cohomology was already considered in [DGMS75], and the latter agrees with de Rham cohomology. In this dissertation, using ideas from [CW18], we introduce spectral sequences for these two cohomologies, showing the two cohomologies have natural bigradings. We show the spectral sequence for the J-cohomology converges at the second page whenever the almost complex structure is integrable, and explain how both fit in a natural diagram involving Bott-Chern cohomology and the Frolicher spectral sequence. …
On Product Of Smooth Neutrosophic Topological Spaces,
2020
University of New Mexico
On Product Of Smooth Neutrosophic Topological Spaces, Florentin Smarandache, Kalaivani Chandran, Swathi Sundari Sundaramoorthy, Saeid Jafari
Branch Mathematics and Statistics Faculty and Staff Publications
In this paper, we develop the notion of the basis for a smooth neutrosophic topology in a more natural way. As a sequel, we define the notion of symmetric neutrosophic quasi-coincident neighborhood systems and prove some interesting results that fit with the classical ones, to establish the consistency of theory developed. Finally, we define and discuss the concept of product topology, in this context, using the definition of basis.
Solar Power Forecasting Using Wavelet Transform And Machine Learning Approaches,
2020
Universiti Malaya
Solar Power Forecasting Using Wavelet Transform And Machine Learning Approaches, Abdullah Nor Azliana
Student Works (2020-2029)
Generation of photovoltaic (PV) power is intermittent in nature and integration of PV system into the grid system causes an imbalanced power production and power demand. One of the efforts to reduce this problem is to forecast the generation of solar power in the PV system. Solar power forecasting requires the collection of solar power and meteorological data. Hence, this work collected solar power data and various meteorological data (global radiation, tilted radiation, temperature surrounding, humidity surrounding, PV module/ PV panel temperature and wind speed) from Universiti Teknikal Malaysia Melaka (UTeM). A pre-processing process is carried out to ensure that …
Nonparametric Recursive Method For Kernel-Type Function Estimators For Censored Data,
2020
Alliance Sorbonne Universités, Université de Technologie de Compiègne, L.M.A.C., Compiègne, France
Nonparametric Recursive Method For Kernel-Type Function Estimators For Censored Data, Salim Bouzebda, Yousri Slaoui
Journal of Stochastic Analysis
No abstract provided.
Research On The Logistics Development Model Of Shanghai Free Trade Zone,
2020
World Maritime University
Research On The Logistics Development Model Of Shanghai Free Trade Zone, Yuhong Xie
World Maritime University Dissertations
No abstract provided.
