Browsing UMBC Mathematics and Statistics Department by Title
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Analyzing TwoDimensional Gel Images
(Taylor and Francis Online, 20120920) 
Applications of Tensor Decompositions
(2016)This report explores how data structures known as tensors can be used to perform multidimensional data analysis. If a matrix can be thought of as a twodimensional array, then a tensor can be thought of as a multidimensional ... 
An Approximate Fisher Scoring Algorithm for Finite Mixtures of Multinomials
Finite mixture distributions arise naturally in many applications including clustering and classi cation. Since they usually do not yield closed forms for maximum likelihood estimates (MLEs), numerical methods using the ... 
Assessing Climate Impacts on Regional Water Resources in the Midwestern US
(2015)It is well documented that decadal climate variability (DCV) has a signi cant impact on water resources in the Missouri River Basin (MRB). This project aims to utilize multidecadal simulations of Global Climate Models ... 
Assessment of Simple and Alternative Bayesian Ranking Methods Utilizing Parallel Computing
(2011)The U.S. Census Bureau (USCB) assists the federal government in distributing approximately $400 billion of aid by providing a complete ranking of the states according to certain criteria, such as average poverty level. It ... 
Attractors and Determining Functionals for A Flutter Model: Finite Dimensionality Out of Thin Air
(20190424)We establish the effective {\em finite dimensionality} of the dynamics corresponding to a flowplate interaction PDE model arising in aeroelasticity: a nonlinear panel, in the absence of rotational inertia, immersed in an ... 
A parallel simulation of the evolution of transcription factor binding sites
(20110527)The analysis of transcription factor binding motifs may aid in understanding the process by which transcription factors recognize their binding sites. We wish to investigate the likelihood that transcription factors use ... 
Block Cyclic Distribution of Data in pbdR and its Effects on Computational Efficiency
(2013)Programming with big data in R (pbdR), a package used to implement highperformance computing in the statistical software R, uses block cyclic distribution to organize large data across many processes. Because computations ... 
Calcium Induced Calcium Release with Stochastic Uniform Flux Density in a Heart Cell
(Society for Computer Simulation International (SCS), 20150726)Calcium is a critical component in many cellular functions. It serves many important functions such as signal transduction, contraction of muscles, enzyme function, and maintaining potential difference across excitable ... 
Cervical Cancer Screening and Gynecologic Visit Rates for Medicaid Enrollees with Mental and Substance Use Disorders
(The Hilltop Institute, 20101110)Hilltop Senior Research Analyst Michael Abrams, MPH, gave this presentation at the 138th American Public Health Association (APHA) Annual Meeting held November 6 through 10, 2010, in Denver, Colorado. Cervical Cancer ... 
A Chromatic Dispersion Estimation Method for Arbitrary Modulation Formats
(Optical Society of America, 20110506)Simulations show that a modulationformatindependent method for estimating chromatic dispersion from the phase of a coherentlyreceived signal at four frequencies can estimate 3000 ps/nm of dispersion to within 2% at an ... 
Cluster Computing using Intel Concurrent Collections
(2012)The Intel Corporation is developing a new parallel software and compiler called Concurrent Collections (CnC) to make programming in parallel easier for the user. CnC provides a system of collections comprised of steps, ... 
Clustering of Multidimensional Data Sets with Applications to Spatial Distributions of Ribosomal Proteins
(2013)Consider ribosomal proteins, each with a threedimensional spatial location. Proteins related to the cofactor phenotype may be randomly or nonrandomly distributed within the ribosome. To investigate this question, the ... 
A COMPARATIVE EVALUATION OF MATLAB, OCTAVE, FREEMAT, AND SCILAB FOR RESEARCH AND TEACHING
(2010)The commercial software package Matlab is the most widely used numerical computational package. GNU Octave, FreeMat, and Scilab are other numerical computational packages that have many of the same features as Matlab. ... 
A Comparative Evaluation of Matlab, Octave, FreeMat, and Scilab on Tara
(2011)Matlab is the most popular commercial package for numerical computations in mathematics, statistics, the sciences, engineering, and other fields. Octave, FreeMat, and Scilab are free numerical computational packages that ... 
A Comparative Evaluation of Matlab, Octave, FreeMat, Scilab, and R on Tara
(2012)Matlab is the most popular commercial package for numerical computations in mathematics, statistics, the sciences, engineering, and other fields. Octave, FreeMat and Scilab are free numerical computational packages that ... 
A Comparative Evaluation of Matlab, Octave, FreeMat, Scilab, R, and IDL on Tara
(2012)Matlab is the most popular commercial package for numerical computations in mathematics, statistics, the sciences, engineering, and other fields. IDL, a commercial package used for data analysis, along with the free numerical ... 
A Comparative Evaluation of Matlab, Octave, R, and Julia on Maya
(2017)Matlab is the most popular commercial package for numerical computations in mathematics, statistics, the sciences, engineering, and other fields. Octave is a freely available software used for numerical computing. R is a ... 
A Comparative Study of the Parallel Performance of the Blocking and NonBlocking MPI Communication Commands on an Elliptic Test Problem on the Cluster tara
(2016)In this report we study the parallel solution of the elliptic test problem of a Poisson equation with homogenous Dirichlet boundary conditions in a two dimensional domain. We use the finite difference method to approximate ... 
Comparison of Performance Analysis Tools for Parallel Programs Applied to CombBLAS
(2015)Performance analysis tools are powerful tools for high performance computing. By breaking down a program into how long the CPUs are taking on each process (pro filing) or showing when events take place on a timeline over ...