Algorithm

Exploiting the tensor product structure of hexahedral elements expresses the volume operations as 1D operators. The details are presented in algorithm \ref{alg_hexvol}. \begin{algorithm}[h] \caption{Hexahedron volume kernel} \label{alg_hexvol} \KwIn{nodal value of solution $\mathbf{u} = \left(p, \mathbf{v} \right)$, volume geometric factors $\partial (rst)/ \partial (xyz)$, 1D derivative operator $D_{ij} = \partial \hat{l}_j /\partial x_i$, model parameters $\rho, c$} \KwOut{volume contributions

The fitness value of a string is calculated with the help of the above three estimated QoS parameters. The objective of our proposed algorithm is summarized to a search for different routing paths which will increase the values of the QoS parameters at each iteration. In order to generate a comparison set (C), a certain number of strings are randomly selected from the population. From the population, two strings are randomly chosen at once and compared with each string in the comparison set. If one

features. Various feature selection algorithms such as CFS (correlation feature selection), FCBF (Fast Correlation Based Filter) and CMIM (Conditional Mutual Information Maximization) are used to remove redundant and irrelevant features. To determine efficiency and effectiveness is the aim of feature selection algorithm. Time factor is denoted by efficiency and quality factor is denoted by effectiveness of subset of features. Problem of feature selection algorithm is accuracy is not guaranteed, computational

ABSTRACT This technical paper consists of the study of data mining algorithm in cloud computing. Cloud Computing is an environment created in user’s machine from online application stored in clouds and run through web browser. Therefore, it is essential to manage user’s data efficiently. Data mining also known as knowledge discovery is the process of analyzing data from different perspectives and summarizing it into useful information where the information can be used to increase revenue, cut costs

Routing Algorithms Routing as we can say is selecting the best path in the network to transfer data from one point to another. And Routing algorithm on a router in computer networks decides on which incoming line a packet should travel and thus creating the routing decision. It depends on various factors like stability, robustness, simplicity, correctness, fairness and optimality. Routing algorithms are based on two classes namely. Adaptive : In this the routing process is adapted based on any

1. Introduction The most popular technique in evolutionary computation research has been the genetic algorithm. In the traditional genetic algorithm, the representation used is a fixed-length bit string. Each position in the string is assumed to represent a particular feature of an individual, and the value stored in that position represents how that feature is expressed in the solution. Usually, the string is “evaluated as a collection of structural features of a solution that have little or no

Kruskal’s Algorithm Introduction: In 1956, the minimum spanning tree algorithm was firstly described by Kruskal. In same paper where he rediscovered the Jarnik's algorithm. The algorithm was rediscovered in 1957 by Loberman and Weinberger, but avoided to be renamed after them. The main idea of Kruskal's algorithms is as follows: Scan all the edges in the increase of weight order; [If any edge is safe, keep it (i.e. add it to the set A)] Kruskal's Algorithm is directly based on generic MST algorithm

The algorithm is executed by the owner to encrypt the plaintext of $D$ as follows: \begin {enumerate} \item [1:]for each document $D_i \in D$ for $i \in [1,n]$ do \item [2:]encrypt the plaintext of $D_i$ using also $\textit{El Gamal}$ cipher under $\textit{O's}$ private key $a$ and $\textit{U's}$ public key $U_{pub}$ as $Enc_{D_i}= U_{pub}^a \times D_i $ \item [3:]end for \item[4:] return $\textit{EncDoc}$ \end{enumerate} \subsubsection{\textit{\textbf {Retrieval phase}}} Include three algorithms

CS7800: Advanced Algorithms. Fall 2016 Homework 1 Solutions Author: Aditeya Pandey, Collaborators: Micha Schwab,Supraja Krishnan • Problems 1-3 are meant as a review of undergraduate discrete math and algorithms. They shouldn’t take you too long, but I recommend starting these right away to make sure that you have the appropriate background for this course. • You must type your solutions using L A TEX. Please submit both the source and PDF files using the naming conventions lastname hw1.tex and lastname

Divide-and-conquer, breaks a problem into subproblems that are similar to the original problem, recursively solves the subproblems, and finally combines the solutions to the subproblems to solve the original problem. You should think of a divide-and-conquer algorithm as having three parts: 1. Divide the problem into a number of sub-problems that are smaller instances of the same problem. 2. Conquer the sub-problems by solving them recursively. If they are satisfying enough, solve the sub-problems as base