Browsing UMBC Mathematics and Statistics Department by Title
Now showing items 12-31 of 230
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Benchmarking parallel implementations of cloud type clustering from satellite data
The study of clouds, i.e., where they occur and what are their characteristics, plays a key role in the understanding of climate change. The aim of this project is to use machine learning in conjunction with parallel ... -
Benchmarking Parallel K-Means Cloud Type Clustering from Satellite Data
(Springer, Cham, 2019-10-08)The study of clouds, i.e., where they occur and what are their characteristics, plays a key role in the understanding of climate change. Clustering is a common machine learning technique used in atmospheric science to ... -
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 high-performance 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), 2015-07-26)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 ... -
CAREER-RELEVANT MATHEMATICS PATHWAYS: ON THE ROAD TO STUDENT SUCCESS
UMBC, a diverse public research university, has a reputation for producing highly capable undergraduate scholars. Unfortunately, many students place into mathematics courses at a lower level than those that offer degree ... -
A Chromatic Dispersion Estimation Method for Arbitrary Modulation Formats
(Optical Society of America, 2011-05-06)Simulations show that a modulation-format-independent method for estimating chromatic dispersion from the phase of a coherently-received 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 three-dimensional spatial location. Proteins related to the cofactor phenotype may be randomly or non-randomly distributed within the ribosome. To investigate this question, the ... -
Commutation principles for optimization problems on spectral sets in Euclidean Jordan algebras
(2020-09-10)The commutation principle of Ramirez, Seeger, and Sossa proved in the setting of Euclidean Jordan algebras says that when the sum of a real valued function h and a spectral function Φ is minimized/maximized over a spectral ... -
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 Non-Blocking 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 Local Powers of Some Exact Tests for a Common Normal Mean with Unequal Variances
(United States Census Bureau, 2020-05-20)The inferential problem of drawing inference about a common mean µ of several independent normal populations with unequal variances has drawn universal attention, and there are many exact tests for testing a null hypothesis ... -
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 ... -
A Comparison of Solving the Poisson Equation Using Several Numerical Methods in Matlab and Octave on the Cluster maya
(2014)Systems of linear equations resulting from partial differential equations arise frequently in many phenomena such as heat, sound, and fluid flow. We apply the finite difference method to the Poisson equation with homogeneous ... -
A Comparison of Stochastic Precipitation Generation Models for the Potomac River Basin
Weather ensembles are an integral part of weather forecasting and can also be used to test the sensitivity and performance of climate models. Among meteorological variables, simultaneous simulation of precipitation at ... -
COMSOL Modeling of Groundwater Flow and Contaminant Transport in Two-Dimensional Geometries With Heterogeneities
(2011)The Delmarva Peninsula is located on the East Coast of the United States, between the Chesapeake Bay and Atlantic Ocean. Industrial farming in the Delmarva Peninsula leads to levels of nutrients, in particular nitrogen, ...