Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Statistics and Probability (2)
- Applied Statistics (1)
- Biochemistry, Biophysics, and Structural Biology (1)
- Bioinformatics (1)
- Biostatistics (1)
-
- Computational Biology (1)
- Computer Engineering (1)
- Discrete Mathematics and Combinatorics (1)
- Ecology and Evolutionary Biology (1)
- Electrical and Computer Engineering (1)
- Engineering (1)
- Evolution (1)
- Genetics and Genomics (1)
- Genomics (1)
- Information Security (1)
- Life Sciences (1)
- Mathematics (1)
- Molecular Biology (1)
- Molecular Genetics (1)
- Numerical Analysis and Scientific Computing (1)
- OS and Networks (1)
- Software Engineering (1)
- Statistical Models (1)
- Keyword
-
- Algorithm Design (1)
- Combinatorial Search (1)
- Computer engineering (1)
- Disorder (1)
- Electrical and computer engineering (1)
-
- Error Correction Code (1)
- Eukaryotes (1)
- Evolution (1)
- Fast Matrix Multiplication (1)
- Information security (1)
- Numerical analysis and scientific computing (1)
- Orthology (1)
- Os and networks (1)
- Paralogy (1)
- Protein (1)
- Randomized Algorithm (1)
- Rates (1)
- Sequence (1)
- Software engineering (1)
- Statistics and probability (1)
- Structure (1)
- Theory and algorithms (1)
Articles 1 - 3 of 3
Full-Text Articles in Theory and Algorithms
A New Study Of Applying Complexity Theoretical Tools In Algorithm Design, Shuai Xu
A New Study Of Applying Complexity Theoretical Tools In Algorithm Design, Shuai Xu
FIU Electronic Theses and Dissertations
Given n vectors with dimension m in Boolean domain, how to find two vectors whose pairwise Hamming distance is minimum? This problem is known as the Closest Pair Problem. If these vectors are generated uniformly at random except two of them are correlated with Pearson-correlation coefficient, then the problem is called the Light Bulb Problem. In this work, we propose a novel coding-based scheme for the Closest Pair Problem. We design both randomized and deterministic algorithms, which achieve the best-known running time when the length of input vectors m is small and the minimum distance is very small compared to …
Computational Analysis Of Large-Scale Trends And Dynamics In Eukaryotic Protein Family Evolution, Joseph Boehm Ahrens
Computational Analysis Of Large-Scale Trends And Dynamics In Eukaryotic Protein Family Evolution, Joseph Boehm Ahrens
FIU Electronic Theses and Dissertations
The myriad protein-coding genes found in present-day eukaryotes arose from a combination of speciation and gene duplication events, spanning more than one billion years of evolution. Notably, as these proteins evolved, the individual residues at each site in their amino acid sequences were replaced at markedly different rates. The relationship between protein structure, protein function, and site-specific rates of amino acid replacement is a topic of ongoing research. Additionally, there is much interest in the different evolutionary constraints imposed on sequences related by speciation (orthologs) versus sequences related by gene duplication (paralogs). A principal aim of this dissertation is to …
Cloud Workload Allocation Approaches For Quality Of Service Guarantee And Cybersecurity Risk Management, Soamar Homsi
Cloud Workload Allocation Approaches For Quality Of Service Guarantee And Cybersecurity Risk Management, Soamar Homsi
FIU Electronic Theses and Dissertations
It has become a dominant trend in industry to adopt cloud computing --thanks to its unique advantages in flexibility, scalability, elasticity and cost efficiency -- for providing online cloud services over the Internet using large-scale data centers. In the meantime, the relentless increase in demand for affordable and high-quality cloud-based services, for individuals and businesses, has led to tremendously high power consumption and operating expense and thus has posed pressing challenges on cloud service providers in finding efficient resource allocation policies.
Allowing several services or Virtual Machines (VMs) to commonly share the cloud's infrastructure enables cloud providers to optimize resource …