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Algorithms and applications

Basic Quantum Algorithms and Applications

Basic Quantum Algorithms and Applications

... ABSTRACT Quantum computation, the ultimate goal of future computing, is an interesting field for researchers. The concept of quantum computation is based on basics of quantum mechanics. A quantum computer is a device for ...

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Operation Scheduling: Algorithms and Applications

Operation Scheduling: Algorithms and Applications

... ing algorithms, including List Scheduling, Force-Directed Scheduling, Simulated Annealing, Ant Colony Optimization (ACO) approach, together with ...aforementioned algorithms against a comprehensive set of ...

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Petascale Computing Algorithms and Applications pdf

Petascale Computing Algorithms and Applications pdf

... combinatorial algorithms solve a number of growing computational challenges, and Chapter 12 presents several multithreaded graph-theoretic algorithms which are used in a variety of application ...and ...

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Algorithms and Applications for Spatial Data Mining

Algorithms and Applications for Spatial Data Mining

... example applications are discussed for these ...ing algorithms from the ...mining algorithms and will also make them more ...mining algorithms which are based on our database ...mining ...

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Periodic Pattern Mining – Algorithms and Applications

Periodic Pattern Mining – Algorithms and Applications

... patterns. Applications of periodic patterns include prediction of drought and flood, stock market price prediction, earthquake prediction, repeat detection in DNA sequences, detection of recurrent illnesses and ...

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Algorithms and Applications in Numerical Elimination Theory

Algorithms and Applications in Numerical Elimination Theory

... ABSTRACT DALEO, NOAH S. Algorithms and Applications in Numerical Elimination Theory. (Under the direction of Jonathan D. Hauenstein.) Numerical algebraic geometry provides tools for solving systems of ...

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Survey on Opinion Mining Algorithms and Applications

Survey on Opinion Mining Algorithms and Applications

... K-means algorithm is most common and popular clustering tool that is widely used in many applications and it falls under the partitioning algorithms that aims in constructing the various patterns and ...

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Generalized Eigenvalue Problems: Algorithms and Applications.

Generalized Eigenvalue Problems: Algorithms and Applications.

... ABSTRACT MIN, EUN JEONG. Generalized Eigenvalue Problems: Algorithms and Applications. (Under the direction of Dr. Hua Zhou.) Nowadays we encounter massive data from various fields, and there are growing ...

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Non-Redundant Overlapping Clustering: Algorithms and Applications

Non-Redundant Overlapping Clustering: Algorithms and Applications

... clustering algorithms aim at the simultaneous identification of a cluster and of a subspace of features associated with ...specialized algorithms for biclustering on gene expression data also use very ...

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GPS trajectories algorithms applications in gadgets

GPS trajectories algorithms applications in gadgets

... the applications of routing algorithms or tracing routes through GPS (Global Positioning System, for its acronym in English) on different devices on the market, such as mobile devices called gadgets, GPS ...

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Algorithms for Clustering on the Sphere: Advances & Applications

Algorithms for Clustering on the Sphere: Advances & Applications

... method, algorithms, proba- bility models. I. I NTRODUCTION M ANY applications of interest involve data that can be analyzed as unit vectors on a d-dimensional sphere, or equivalently are directional in ...

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A Technical Insight into Clustering Algorithms & Applications

A Technical Insight into Clustering Algorithms & Applications

... 2 Professor ,Department of ISE , New Horizon College of Engineering,Bangalore, India. ...

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Scalable Graph Algorithms with Applications in Genetics

Scalable Graph Algorithms with Applications in Genetics

... This dissertation focuses on the design and implementation of exact, efficient, and scalable al- gorithms for clique enumeration problems that are computation and memory intensive and the applications of these ...

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Genetic Algorithms: Basic Concept and Applications

Genetic Algorithms: Basic Concept and Applications

... Genetic algorithms are a part of evolutionary computing, which is a rapidly growing area of artificial ...Genetic algorithms have been applied to a wide range of practical problems often with valuable ...

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The Applications and Simulation of Adaptive Algorithms in MATLAB

The Applications and Simulation of Adaptive Algorithms in MATLAB

... algorithm. There are different types of inputs (here stationary and Non-stationary) and three different types of applications. There are two pop-up menus, from which the user can select the type of input and ...

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A Survey on Randomized Algorithms and its Applications

A Survey on Randomized Algorithms and its Applications

... spread applications, especially in the areas of communication, cryptography, data management, and discrete ...Randomized algorithms. The paper also gives some applications of randomized algorithm in ...

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Sampling Algorithms: Lower Bounds and Applications

Sampling Algorithms: Lower Bounds and Applications

... nd algorithms that are able to compute interesting functions without completely decompressing the compressed ...data. Applications include pattern matching on compressed text les [2], operations such as ...

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An Insight on Machine Learning Algorithms and its Applications

An Insight on Machine Learning Algorithms and its Applications

... various applications. Apart from the applications, the paper also put forth an idea of applying the algorithms and its performances to various ...

5

Optimization: Algorithms and Applications

Optimization: Algorithms and Applications

... NSF 1443054: CIF21 DIBBs: Middleware and High Performance Analytics Libraries for Scalable Data Science. Polar Science Applications February 2017.[r] ...

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Algorithms and Applications for Grids and Clouds

Algorithms and Applications for Grids and Clouds

... Algorithms and Application for Grids and Clouds • We discuss the impact of clouds and grid technology on scientific computing using examples from a variety of fields -- especially the life sciences. We cover the ...

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