Case Study Of Undergraduate Research Projects In Vector Analysis,
2017
CUNY Hostos Community College
Case Study Of Undergraduate Research Projects In Vector Analysis, Alexander Vaninsky, Willy Baez Lara, Madieng Diao, Analilia Mendez
Publications and Research
This paper presents two examples of the undergraduate research projects in vector analysis conducted under the first author’s supervision at one of the community colleges that is an integral part of a large city university. The projects were accomplished by the students pursuing associated degrees in engineering, during their sophomore year. One project was to obtain an explicit formula for the curvature of a curve in plane defined implicitly in rectangular or polar coordinates. Another project was aimed to develop an alternative procedure for finding potential function for a vector field in space based on simultaneous integration. Participation in these …
Multi-Model Validity Assessment Of Groundwater Flow Simulation Models Using Area Metric Approach,
2017
SUNY Stony Brook
Multi-Model Validity Assessment Of Groundwater Flow Simulation Models Using Area Metric Approach, Omkar Aphale, David J. Tonjes
Technology & Society Faculty Publications
We demonstrate the application of the Area Metric developed by Ferson et al. (2008) for multi-model validity assessment. The Area Metric quantified the degree of models’ replicative validity: the degree of agreement between the observed data and the corresponding simulated outputs represented as their empirical cumulative distribution functions (ECDFs). This approach was used to rank multiple representations of a case study groundwater flow model of a landfill by their Area Metric scores. A multi-model approach allows for the accounting for uncertainties that may either be epistemic (from lack of knowledge), or aleatory (from variability inherent in the system). The Area …
Homeomorphic Property Of The Stochastic Flow Of A Natural Equation In Multi-Dimensional Case,
2017
Tahar Moulay University of Saida, Algeria
Homeomorphic Property Of The Stochastic Flow Of A Natural Equation In Multi-Dimensional Case, Fatima Benziadi, Abdeldjabbar Kandouci
Communications on Stochastic Analysis
No abstract provided.
Occupation Time Problem Of Certain Self-Similar Processes Related To The Fractional Brownian Motion,
2017
Université Mohammed Premier
Occupation Time Problem Of Certain Self-Similar Processes Related To The Fractional Brownian Motion, Aissa Sghir, Mohamed A. Ouahra, Soufiane Moussaten
Communications on Stochastic Analysis
No abstract provided.
Extensions Of The Hitsuda–Skorokhod Integral,
2017
University of Mannheim
Extensions Of The Hitsuda–Skorokhod Integral, Peter Parczewski
Communications on Stochastic Analysis
No abstract provided.
The Double Barrier Problem With Double Exponential Jump Diffusion,
2017
University of Mary Washington
The Double Barrier Problem With Double Exponential Jump Diffusion, Julius Esunge, Kalev Pärna, Dean Teneng
Communications on Stochastic Analysis
No abstract provided.
Accuracy And Precision In Force-Distance Curves,
2017
University of Alabama in Huntsville
Accuracy And Precision In Force-Distance Curves, Stephen Morgan
Summer Community of Scholars Posters (RCEU and HCR Combined Programs)
No abstract provided.
Sine, Cosine, And Tangent Table: 0 To 360 Degrees,
2017
University of Nebraska-Lincoln
Sine, Cosine, And Tangent Table: 0 To 360 Degrees, Paul Royster
Department of Mathematics: Class Notes and Learning Materials
In helping with my high school student's math homework, I was astonished to find no trig tables in the 800-page textbook. I was further astonished to find no printable version online that extended beyond 90°.
While most smartphones will tell you the sine of an angle, they will not necessarily tell you the angle for which the sine is x. And since multiple angles may have the same sine (e.g. 59° and 121°), it seems useful to see the numerical progression of the functions in addition to their graphical representation.
Here is a printable sine-cosine-tangent table for all integer angle …
Multipliers Of Sequence Spaces,
2017
University of Richmond
Multipliers Of Sequence Spaces, Raymond Cheng, Javad Mashreghi, William T. Ross
Department of Math & Statistics Faculty Publications
This paper is selective survey on the space lAp and its multipliers. It also includes some connections of multipliers to Birkhoff-James orthogonality.
Approaching Cauchy’S Theorem,
2017
University of Richmond
Approaching Cauchy’S Theorem, Stephan Ramon Garcia, William T. Ross
Department of Math & Statistics Faculty Publications
We hope to initiate a discussion about various methods for introducing Cauchy’s Theorem. Although Cauchy’s Theorem is the fundamental theorem upon which complex analysis is based, there is no “standard approach.” The appropriate choice depends upon the prerequisites for the course and the level of rigor intended. Common methods include Green’s Theorem, Goursat’s Lemma, Leibniz’ Rule, and homotopy theory, each of which has its positives and negatives.
Advance Care Planning As A Shared Endeavor: Completion Of Acp Documents In A Multidisciplinary Cancer Program,
2017
Brown University
Advance Care Planning As A Shared Endeavor: Completion Of Acp Documents In A Multidisciplinary Cancer Program, Melissa A. Clark, Miles Q. Ott, Michelle L. Rogers, Mary C. Politi, Susan C. Miller, Laura Moynihan, Katina Robison, Ashley Stuckey, Don Dizon
Statistical and Data Sciences: Faculty Publications
Objective—We examined the roles of oncology providers in advance care planning (ACP) delivery in the context of a multidisciplinary cancer program.
Methods—Semi-structured interviews were conducted with 200 women with recurrent and/or metastatic breast or gynecologic cancer. Participants were asked to name providers they deemed important in their cancer care and whether they had discussed and/or completed ACP documentation. Evidence of ACP documentation was obtained from chart reviews.
Results—Fifty percent of participants self-reported completing an advance directive (AD) and 48.5% had named a healthcare power of attorney (HPA), 38.5% had completed both, and 39.0% had completed neither document. Among women who …
Alcohol Perceptions And Behavior In A Residential Peer Social Network,
2017
Brown University
Alcohol Perceptions And Behavior In A Residential Peer Social Network, Shannon R. Kenney, Miles Q. Ott, Matthew Meisel, Nancy P. Barnett
Statistical and Data Sciences: Faculty Publications
Personalized normative feedback is a recommended component of alcohol interventions targeting college students. However, normative data are commonly collected through campus-based surveys, not through actual participant-referent relationships. In the present investigation, we examined how misperceptions of residence hall peers, both overall using a global question and those designated as important peers using person-specific questions, were related to students’ personal drinking behaviors. Participants were 108 students (88% freshman, 54% White, 51% female) residing in a single campus residence hall. Participants completed an online baseline survey in which they reported their own alcohol use and perceptions of peer alcohol use using both …
Curriculum Guidelines For Undergraduate Programs In Data Science,
2017
Williams College
Curriculum Guidelines For Undergraduate Programs In Data Science, Richard D. De Veaux, Mahesh Agarwal, Maia Averett, Benjamin Baumer, Andrew Bray, Thomas C. Bressoud, Lance Bryant, Lei Z. Cheng, Amanda Francis, Robert Gould, Albert Y. Kim, Matt Kretchmar, Qin Lu, Ann Moskol, Deborah Nolan, Roberto Pelayo, Sean Raleigh, Ricky J. Sethi, Mutiara Sondjaja, Neelesh Tiruviluamala, Paul X. Uhlig, Talitha M. Washington, Curtis L. Wesley, David White, Ping Ye
Statistical and Data Sciences: Faculty Publications
The Park City Math Institute 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in data science. The group consisted of 25 undergraduate faculty from a variety of institutions in the United States, primarily from the disciplines of mathematics, statistics, and computer science. These guidelines are meant to provide some structure for institutions planning for or revising a major in data science.
Generalized Interval Valued Neutrosophic Graphs Of First Type,
2017
University of New Mexico
Generalized Interval Valued Neutrosophic Graphs Of First Type, Florentin Smarandache, Said Broumi, Mohamed Talea, Assia Bakali, Ali Hassan
Branch Mathematics and Statistics Faculty and Staff Publications
In this paper, motivated by the notion of generalized single valued neutrosophic graphs of first type, we defined a new neutrosophic graphs named generalized interval valued neutrosophic graphs of first type (GIVNG1) and presented a matrix representation for it and studied few properties of this new concept. The concept of GIVNG1 is an extension of generalized fuzzy graphs (GFG1) and generalized single valued neutrosophic of first type (GSVNG1).
Adaptive Orthonormal Systems For Matrix-Valued Functions,
2017
Chapman University
Adaptive Orthonormal Systems For Matrix-Valued Functions, Daniel Alpay, Fabrizio Colombo, Tao Qian, Irene Sabadini, Tao Qian
Mathematics, Physics, and Computer Science Faculty Articles and Research
In this paper we consider functions in the Hardy space Hp×q2 defined in the unit disc of matrix-valued. We show that it is possible, as in the scalar case, to decompose those functions as linear combinations of suitably modified matrix-valued Blaschke product, in an adaptive way. The procedure is based on a generalization to the matrix-valued case of the maximum selection principle which involves not only selections of suitable points in the unit disc but also suitable orthogonal projections. We show that the maximum selection principle gives rise to a convergent algorithm. Finally, we discuss the case of real-valued signals.
Triple Non-Negative Matrix Factorization Technique For Sentiment Analysis And Topic Modeling,
2017
Claremont McKenna College
Triple Non-Negative Matrix Factorization Technique For Sentiment Analysis And Topic Modeling, Alexander A. Waggoner
CMC Senior Theses
Topic modeling refers to the process of algorithmically sorting documents into categories based on some common relationship between the documents. This common relationship between the documents is considered the “topic” of the documents. Sentiment analysis refers to the process of algorithmically sorting a document into a positive or negative category depending whether this document expresses a positive or negative opinion on its respective topic. In this paper, I consider the open problem of document classification into a topic category, as well as a sentiment category. This has a direct application to the retail industry where companies may want to scour …
The Qq–Bit (Ii): Functional Central Limits And Monotone Representation Of The Azema Martingale,
2017
Università di Roma Tor Vergata
The Qq–Bit (Ii): Functional Central Limits And Monotone Representation Of The Azema Martingale, Luigi Accardi, Yun-Gang Lu
Communications on Stochastic Analysis
No abstract provided.
The Subcritical Phase For A Homopolymer Model,
2017
University of Connecticut
The Subcritical Phase For A Homopolymer Model, Iddo Ben-Ari, Hugo Panzo
Communications on Stochastic Analysis
No abstract provided.
Near-Martingale Property Of Anticipating Stochastic Integration,
2017
Institute of Mathematics, Academia Sinica
Near-Martingale Property Of Anticipating Stochastic Integration, C R. Hwang, Hui-Hsiung Kuo, Kimiaki Saitô, Jiayu Zhai
Communications on Stochastic Analysis
No abstract provided.
An Option Pricing Model With Memory,
2017
Antioch College, Yellow Springs, Ohio
An Option Pricing Model With Memory, Flavia Sancier, Salah Mohammed
Communications on Stochastic Analysis
No abstract provided.
