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Algorithm

7 pages
(1750 words)

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...Algorithm Design, Analysis and Implementation Assignment 3 To find the longest palindrome in the sequence x n Using LCS (Longest Common Subsequence)
Definition:
Palindromes are sequences 1...n that remain unchanged even if we reverse the order to n...1 and, hence, palindromic subsequence in the given sequence would be a common subsequence between the original array and the reversed array.
Solution:
The longest palindrome can be found by first finding the longest common subsequence of the given array, and then checking if it satisfies the conditions for palindrome. If not satisfied, the process is repeated with the longest common subsequence as the new array. The algorithm can be summed... ...

Hashing Algorithm

10 pages
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...ALGORITHMS Hashing Algorithms Affiliation Introduction Hashing algorithms are used to translate the input of any size to a smaller output of fixed extent by making use of the hash function. In this scenario, this output value is known as the hash value. Basically, this hash value consists of a distinctive and very condensed mathematical illustration of a portion of data. This process of translation from input to output is a compressed mapping, to be precise, the space that is taken by the hash value is a great deal smaller than that of the input. In fact, any value or even a single letter is changed in the input; then the values of hash value will also be changed. Additionally, same hash... ?HASHING...

Algorithm Visualization

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...Algorithm Visualization: A Report on the of the Field. Kentucky: ACM SIGCSE Publications 0The Research Question
Shaffer, Cooper and Edwards (2007) embarked on a journey to ascertain the state of the field of algorithm visualization. Their study was concerned with seeking answers to questions such as how content is distributed among topics, who created algorithm visualizations and when, the overall quality of available visualizations, and how visualizations are disseminated. They also concerned themselves with developing a wiki of sites to algorithm visualizations.
2.0 The theory/theories used
With regards to a theory that animates the study... , there is none. Instead, there is a notion that...

Pollard Rho Algorithm

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...algorithm Pollard’s Rho algorithm is an algorithm which requires a computation driven solution which is well addressed beneath a multi-core architecture. As the number of digits in number increases, more cores are needed to factorize the number. The most significant application of this algorithm is with Discrete Logarithmic Problem (DLP). It is a probabilistic algorithm which works by sequential iterations of a random quadratic function. Random coefficients are selected for a standard quadratic function which generates numbers, which are reduced modulo the composite number. Sequential iterations of the random quadratic function based on a randomly selected initial number generate... Pollard’s Rho...

Hash Algorithm and Secure Hash Algorithm

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...Algorithm and Secure Hash Algorithm ""A hash function is a reproducible method of turning some kind of data into a (relatively) small number that may serve as a digital "fingerprint" of the data. The algorithm "chops and mixes" (i.e., substitutes or transposes) the data to create such fingerprints. The fingerprints are called hash sums, hash values, hash codes or simply hashes. (Note that hashes can also mean the hash functions.) Hash sums are commonly used as indices into hash tables or hash files. Cryptographic hash functions are used for various purposes in information security applications.""1
"Hash functions are designed to be fast and to yield few hash... at least approximately....

Temporally-Ordered Routing Algorithm

13 pages
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...Algorithm (TORA) The Temporally-Ordered Routing Algorithm (TORA) is an algorithm for routing data across Wireless Mesh Networks or Mobile ad-hoc networks (MANET). It was developed by Vincent Park at the University of Maryland, College Park and the Naval Research Laboratory. Park has patented his work, and owns Nova Engineering, who are marketing a wireless router product based on Parks algorithm. (Wikipedia, 2005, para.1-2)
Park and Corson (1997, p.1) name the TORA protocol as one of a family of protocols which they term "link reversal" algorithms. The protocol's reaction is structured as a temporally-ordered sequence of diffusing computations; each computation consisting... Temporally-Ordered Routing...

Blowfish Encryption Algorithm

8 pages
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...algorithms. Likewise, we will precisely discuss blowfish encryption algorithm and its integration with applications that are involved in handling customer highly sensitive data. Blowfish Encryption... ?Introduction Information system security is becoming a dominant and challenging factor for organizations, as it leverages many risks that are constantly changing. Every now and then, there are new security breaches resulting in massive losses in terms of customer confidence, as well as revenue. As information technology is now considered as the fundamental function, every organization acquires information systems for business automation. Moreover, electronic commerce has also introduced many businesses...

Critical Chain Project Management Based Heuristics Algorithm

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...Algorithm This paper is a summary of the article Critical Chain Project Management Based Heuristic Algorithm for Multiple Resources-Constrained Project by Liu Jian-bing Ren Hong and Liu jian-bing Xie Ji-hai. According to the article, critical chain is a new form of technique of project management proposed in 1997 by Dr. El Goldratt (Hong and Ji-hai 330). The paper is divided into six parts which contain different sub-sections that explain the Critical Chain Project Management Based Heuristic Algorithm for Multiple Resources-Constrained Project, a conclusion, and a brief discussion.
The Critical Chain Technology
Dr. Goldratt utilized TOC in project... Critical Chain Project Management Based Heuristics...

A* Search algorithm - Artificial Intellegence - Discussion

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...algorithm - Artificial Intelligence A* Search algorithm - Artificial Intelligence [Institute’s A* Search algorithm - Artificial Intelligence
A heuristic resembles an algorithm except that it has a difference of a key. Heuristic is a rule of thumb that can be of help in order to solve a given problem. It considers the knowledge of the problem to aid the search process. (Jones, 2008) and aims at minimizing the number of nodes.
A* Search is an uninformed search method which in similarity with the best-search method uses a heuristic function. The major type of heuristic involved in A * search is the admissible heuristic. The A* search uses a heuristic function that is a distance... Running Head: A* Search...

Data Structures and Algorithm Lesson Plan

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...Algorithm Lesson Plan Data Structures and Algorithm Lesson Plan :
Lesson Title:
Data Structures and Algorithm
Grade Level:
College/University Level
Technology Standard (NETS-S)
ISTE Standards for Students
Subject Area/Content Standard:
Information Technology.
Technology tool/software:
Object Oriented Language i.e. .Java
Preparation
Prerequisites:
1) Computer Fundamentals: Basic competencies for application of a computer to everyday tasks using standard packages.
2) Introduction to programming: is to enable the student apply high level language for solution of simple scientific problems, and for this purpose to manipulate the inputs/outputs of a computer.
3... information on a...

Adaptive Portfolio Management using Evolutionary Algorithm

9 pages
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...Algorithm A Dissertation Proposal* Farhad Bahramy 31. July Table of Contents Introduction: 3 2.Motivation: 4 3.Problem Definition: 4 4.Relevant Literature: 6 5.Proposed Approach: 8 I.Market Trends 8 II.Execution rules 9 III.Risk management rules 10 IV.Representation: 10 V.Evolutionary Process: 12 VI.Evaluation of the strategies: 15 VII.Execution of adapting the strategies: 16 VIII.Performance measurement: 17 6.Question to Be Answered 17 7.Expected Contribution 17 8.Work Plan: 18 9.References: 18 1. Introduction: Portfolio management is the process of managing assets i.e. stocks, bonds, etc., such that a large return with a low risk is obtained... ? Adaptive Portfolio Management using Evolutionary...

Algorithm design as it relates to time complexity problems like reducing fractions without using the euclidean algorithm for GCD

3 pages
(750 words)

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...Algorithm design. Two Algorithms have been covered which include Euclid’s and stein’s Algorithm. The report covers basics (mathematical approach) about the algorithms, procedures of each and implementation advantages and disadvantages. The trade-off factors considered for either design in view of cost and time. Illustration data on implementation of Algorithms to aid decision making about the best Algorithm. The report covers technology advancement on testing and available testing tools. The main difference of Algorithms both circuit implementation, testing and results expected. Modern processors that perform calculations need Algorithm design for present... ? This report provides an insight into...

FMS Optimisation using Discrete Event Simulation and Genetic Algorithm

4 pages
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...algorithms and discrete event simulations
a. To improve robustness
b. To increase the accuracy of the prediction
c. To design new algorithms or couple... Proposal Introduction The industrial and manufacturing process automation has evolved rapidly and presently now it had gone through various phases of development. Advancement in the computer science and technology enable automation of sophisticated discrete event systems. FMS represents a class of system, which is configured to produce multiple products. In order to switch according to the fluctuating market demand the resources has to be allotted for the production plan and as well as all other systems had to be planned and operated simultaneously. ...

Processing Algorithm Developed by Google for Big Data

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...algorithm developed by Google for Big Data
1. What storage system and processing algorithm were developed by Google for Big Data? The storage system and processing algorithm developed by Google for Big Data is known as the Bigtable (Chang, et al., 2006). As described, “Bigtable is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers” (Chang, et al., 2006, p. 1).
2. A scenario is a statement of assumptions about the operating environment of a particular system at a given time; that is, it is a narrative description of the decision-situation setting. What does a scenario describe... Processing...

PARALLEL ALGORITHM FOR MULTI-DIMENSIONAL MATRIX MULTIPLICATION OPERATIONS REPRESENTATION USING KARNAUGH MAP

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...ALGORITHM FOR MULTI-DIMENSIONAL MATRIX MULTIPLICATION OPERATIONS REPRESENTATION USING KARNAUGH MAP Multi-dimensional arraysare widely used in a lot of scientific studies but still some issues have been encountered regarding efficient operations of these multi-dimensional arrays. In this paper, the extended Karnaugh Map representation (EKMR) scheme has been proposed as an alternative to the traditional matrix representation (TMR) which caused the multi-dimensional array operation to be inefficient when extended to dimensions higher than two. EKMR scheme has managed to successfully optimize the performance of the multi-dimensional array operations to the nth dimension of the array... Topic: PARALLEL...

Aerodynamic shape optimization for morphing multi-element airfoil based on CFD by using adjoint method algorithm

6 pages
(1500 words)

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...algorithm Issues in aerodynamic design The design of any aerodynamic components involved application of optimization approaches towards attaining very efficient systems. The general steps involved in any aircraft design process are conceptual design, preliminary design and detail design. These steps are explained here considering an aircraft that could be classified as a medium sized vehicle. The conceptual design step requires a manpower support to the tune of 20 to 25 personals and a definite time line could not be stated (McGill, n.d.). As the concept creation is the most vital part in the design... Aerodynamic shape optimization for morphing multi-element airfoil based on CFD by using adjoint method...

An Analysis of the development of Otitis Media Protocol/Algorithm in children aged 6 to 12 years old

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...Algorithm in children aged 6 to 12 years old. s Class
Date
In the development of the complete nurse protocol for Otitis media in children of between 6 and 12 years, one should have some key elements. The protocol should clearly define the Otitis media for clinicians, identify its natural history without antibacterial treatment, give a guide for appropriate diagnoses of the disease, guide on the steps to be followed for the initial treatment of the child, propose the appropriate antibacterial regimen for the disease, measure the relative effectiveness of the recommended antibacterial regimen in prevention of Otitis media and give recommendations... An Analysis of the development of Otitis Media...

In networking protocol,open shortest path first(OSPF)protocol is better than routing information protocol(RIP)because,it converges the network faults,uses the shortest path first(SPF) algorithm and error detection

5 pages
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...algorithms for routing. Each of the protocols has its own benefits and drawbacks. Routing is the process of selecting a path through which to send data in network traffic. Routing can be applied in various ways such as internet protocols, for sending packet data or even in telephones... Open Shortest Path First (OSPF) compared to Routing Internet Protocol (RIP) due: Open Shortest Path First (OSPF) and Routing Information Protocol (RIP)
In computer networking, there are various techniques used. This includes but not limited to, open shortest path first (OSPF) as well as routing internet protocol (RIP). The protocols makeup an all rounded, complete, wireless network. The two protocols form the main algorith...

Discuss the issues with the basic A Priori algorithm for Association Rule Mining and the some of the various ways that it can be improved. Also, explain how Support, Confidence and Lift are used to determine the usefulness of a rule

8 pages
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...algorithms may generate extremely large number of association rules, very often in thousands or even in millions. The association rules themselves are fairly large. As a result it becomes almost impossible for users to understand and validate the complex association rules. This limits the usefulness... of the association mining rules [2].
One of the most well known algorithm for generating association mining rules is the Apriori algorithm. This paper discusses the algorithm in detail and further considers the issues involved in it. It then identifies some of the ways in which this can be improved. At the next stage it explains how support,...

Alice A 3D Graphical Programming environmet to teach algorithm development and control structures

3 pages
(750 words)

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...algorithms etc.
The use of traditional memory... 21 November 2007 Alice, a 3D Graphical Environment to Teach C++ Programming (I Introduction Learning to program offers many challenges to students, especially the ones with weak mathematical backgrounds. C++, an oriented programming (OOP) language, offers challenges to students to understand objects and related concepts such as inheritance and polymorphism and also memory management. Understanding memory management requires the ability visualize the use of the heap (or free store) by a running program.
Use of graphics has become an effective means of teaching students how to program. As observed by Cooper et al "many students have difficulty visualizing ...

Computer Science Definition Essay

1 pages
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...Algorithm – Definition Essay Algorithm – Definition Essay This is a definition essay aimed at understanding the definition, origin and current use of the word ‘algorithm’.
Oxford dictionary defines algorithm as a set of rules are instructions which are well defined in order to find a solution to a specific problem (Oxford, 2004). In simple words, algorithm can be defined as a predefined procedure to be followed to arrive at a specific solution for a problem. An algorithm is best illustrated by the concept of a recipe. Like a recipe, algorithm is a procedure with definite...

Math and students

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(250 words)

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...algorithms they are in a position to handle different questions with different algorithms and still arrive at the same answer. This occurs in cases where there is the use of the traditional algorithms and the student made algorithms .The student made algorithm may be in a position to solve... the problem competently delivering the answer.
Question Three
In the handling of problems of algorithm, mathematical validity is a preserve of testing efficiency. The search for validity leads to granting of certain rules of solving math algorithms. The student generated algorithm is different from the traditional algorithm when the...

DATA MINING AND VISUALISATION

5 pages
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...Algorithm is defined as a definite list of defined set of instructions used for completing a certain task. Provided there is an initial state, it proceeds through a clearly defined series of states eventually terminating in the end state. The concept behind the algorithm has its origin in the recording procedures used in solving mathematical problems. Name of Algorithm: Eulid’s Algorithm Criteria of the Eulid’s... ? Data Mining And Visualization Given the rapid development in the internet, the distributed databases have increasingly become commonly used environment in many areas (Givano, 2003). Evidently, it has become a critical task to the mine association rules in the distributed databases. An...

New Development in Health care

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...algorithm and client pathway for the aged and disabled that has significant implications for the health and human service sectors thus reflecting the new developments in the health care systems” (Hewitt, Polansky, Day, Field & Moore, 64).
Development in health care:
According to researches if delivery of health services is standardized for aged and disabled people with the help of algorithm and client pathway, NJ DACS, then it provides a reasonable process that can be used as a model for training in delivery of health services. The algorithm system has been found to facilitate... Sur 4 October New Development in Health Care Introduction: This report focuses on the understanding of the “adoption of an...

Router and IP Addresses

3 pages
(750 words)

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...algorithms Routing algorithms, also known as routing protocols are formulas used by routers in order to determine the best and appropriate path onto which packet are to be forwarded... ? Week 4 Hand-in Assignment al Affiliation) Router and IP Addresses Yes. Routers have IP address, one IP address per router interface. The number of IP address a router has depend on the number of interfaces connected to the router. Routers have at least two IP addresses since it has the function of deciding where to next send the packet. There exists another IP address for management purposes usually the router’s own address for convenient access to the router by the user. Routers are generally used for switching and...

Week 4 Hand-in-Assignment

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(750 words)

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...algorithms
Routing algorithms, also known as routing protocols are formulas used by routers in order to determine the best and appropriate path onto which packet are to be forwarded... Week 4 Hand-in Assignment al Affiliation) Router and IP Addresses Yes. Routers have IP address, one IP address per router interface. The number of IP address a router has depend on the number of interfaces connected to the router. Routers have at least two IP addresses since it has the function of deciding where to next send the packet. There exists another IP address for management purposes usually the router’s own address for convenient access to the router by the user. Routers are generally used for switching and...

Efficiency of Data Mining Algorithms in Identifying Outliers/Noise in a Large Biological Data Base

6 pages
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...Algorithms In Identifying Outliers/Noise In A Large Biological Data Base Efficiency Of Data Mining Algorithms In Identifying Outliers/Noise In A Large Biological Data Base Introduction The protein sequences numbers in bioinformatics are approximated to be over a half a million. This calls for the need of meaningful partitions of the protein sequences so as to be in a position to detect the role they play. Alignment methods were traditionally used in the grouping and comparing protein sequences. In a later stage, local alignment algorithms were introduced to replace the earlier methods and perform more complex functions. The local algorithms were used to find amino acid... ? Efficiency Of Data Mining...

Multi-Layer Machine Learning Approach to FOREX

4 pages
(1000 words)

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...algorithm. Email address: The use of algorithms in making decisions in trade is becoming a widely used technique in the currency exchange markets. The nature and structure of the FOREX exchange market as a 24 hr market makes it perfect for a system that is automated and makes use of a multi layered structure consisting of a machine learning algorithm, an online learning utility and a risk management system can be used to create an appropriate system. For the purpose of technical analysis in the application overlay of the system, we are going to use the Alternating Decision Tree (ADT) as the algorithm that can best... Application of machine learning and AI techniques for a naive automated FOREX trading...

Hashing Algorithms Information Technology Research Paper

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...ALGORITHMS Hashing Algorithms Number Introduction Hashing algorithms are used for several purposes like encoding, decoding a particular text or a file, to provide key access to a database, to convert the specified value into another format. Hashing algorithms are generally categorized based on the type of data in which they are used. The most popular hashing algorithms include SHA algorithms which work on the basis of the bit length of the text. Another commonly used algorithm is MD5 and its basic function is to generate hash values to encode and decode the given information. Apart from these algorithms, Whirlpool, Bloom Filters and other algorithms are also widely used... ?Running head: HASHING...

ODE Solver and Optimization

4 pages
(1000 words)

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...algorithm design capable... ODE Solver and Optimization s Affiliation Supervisors Introduction The tremors and external forces that makes buildings shake and collapse due to natural forces like earthquakes, have in the recent past resulted in increased loss of human life. These occurrence and damages during earthquakes clearly demonstrates the high seismic hazards and the structures like residential buildings, lifeline structures, historical structures and industrial structures need to be designed very carefully to protect from earthquakes. Structural design approach using seismic response control is now widely accepted and frequently applied in Civil Engineering. Lately engineers have developed new...

Variable Selection

1 pages
(250 words)

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...algorithm of data analysis programs... such as SAS and SPSS. Based on my personal experience I think the author is correct, forward and backward selection produces better results in varied conditions as opposed to stepwise selection.
A good selection technique that I have in mind will involve the use of estimation of empirical samples through the use of repeated sampling of data samples. This algorithm allows for the approximation of the distributed test statistics will be usable in small scale data where the large scale results may not hold. This algorithm is efficient because it helps solve the mistake of automated variable selection methods. There are...

Efficiency of Clustering algorithms for mining large biological data bases

10 pages
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...ALGORITHMS FOR MINING LARGE BIOLOGICAL DATA BASES By Presented to With the enormous amount, of gene sequences resulting from genome expression and uncontrolled data classification into functional families or classes, clustering of such large data sets has become a serious headache in functional and structural genomics. The accurate classification of sequences into classes is in recent times a necessity, and as a result, computer programs have been developed to help in automatic clustering. Various clustering algorithms-methods-have addressed the gene sequence clustering. They are categorized into portioning, hierarchical and graph-based techniques. The most widely used... ? EFFICIENCY OF CLUSTERING...

Network Management - Quiz 5

1 pages
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...Algorithm, K is the shared key generated by the key source, Y is the cipher-text. An opponent (cryptanalyst) observing but not having access to K or X, may attempt to recover or both X and K, by trying to recover them and hence obtain their estimates.

Discrete Mathematics(Mathematical Algorithms)

9 pages
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...Algorithms Table of Contents Introduction 3 Mathematical Algorithms Overview 3 Evolution 5 Relation of Computer Science and Mathematical Algorithms 6
Algorithm-Supported Mathematical Theory 7
Mathematical Algorithm Analysis 8
Impotence of Mathematical Algorithms 9
More Real-world Examples 10
Conclusion 10
Bibliography 11
Introduction
Discrete mathematics is a section or element of mathematics that is concerned with the objects which are capable of assuming just divided, distinctive values. The concept of discrete mathematics is thus applied in distinction with continuous mathematics, that is the subdivision of mathematics concerned with the objects which have... DISCRETE MATHEMATICS Mathematical...

Algoeithm Design, Analysis and Implementation

7 pages
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...Algorithm Design, Analysis and Implementation Homework 2 To prove T(n) = O(nk + nlg(n/k for a combination of quick sort and insertion sort algorithm: Solution: From the given problem, it is analysed that Quick sort has sorted all elements except a subarray (fewer than k-elements). Insertion sort is run to sort these unsorted elements out of n elements. Total run time T(n) = T(n) for quick sort + T(n) of insertion sort In a quick sort, the sequence of elements to be sorted is divided into two groups such that the elements in group 1 are less than, or equal to, the elements in group 2. This is done by choosing a comparison element and placing all the...

Questions in Theory of Computation

3 pages
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...algorithm. [5 points]
This is an algorithm which follows the problem resolving met heuristic of building the locally ideal choice at every stage with the hope of finding the global optimum.
They are ideal simply for hitches with optimal substructure. Despite this, greedy algorithms are suited for easy problems and may be used as a selection algorithm to highlight options in a search. Its variation includes pure greedy, orthogonal greedy and the relaxed greedy
(b). Describe what is meant by a divide-and-conquer algorithm. [5 points]
This is a top to down system used to design an algorithm which involves dividing the problem... Number: THEORY OF COMPUTABILITY a) Describe what is meant by a greedy...

Assignment Degree Essay

4 pages
(1000 words)

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...Algorithm A root-finding algorithm is a numerical method, or algorithm, for finding a value x such A root-finding algorithm is a numerical method, or algorithm, for finding a value x such that f(x) = 0, for a given function f. Such an x is called a root of the function f.
Finding a root of f(x) g(x) = 0 is the same as solving the equation f(x) = g(x). Here, x is called the unknown in the equation. Conversely, any equation can take the canonical form f(x) = 0, so equation solving is the same thing as computing (or finding) a root of a function. Numerical root-finding methods use iteration, producing a sequence of numbers... The Root Finding Methods and Dept. Your Section and Serial Number Root Finding...

Data mining

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...algorithms Nearest neighbor methods Rule indications. A) Data Mining Classification over large database 1. The kNN: k-nearest neighbor classification This algorithm is works by memorizing the entire training data and performing classification... ? Data Mining Data mining Data mining can be defined as a of database applications which seek for hidden patterns within a collection of data that can be used to effectively and efficiently predict future behaviors. Therefore it is scientific that a true data mining software application or technique must be able to change data presentation criterion and also discover the previously unknown relationships amongst the data types. Data mining tools allow for possible ...

Design And Analysis Of Algorithms For Obtaining Super Resolution Satellite Images

18 pages
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...algorithms have been developed, which assist in transforming Low Resolution images to High Resolution images. High Resolution (HR) images have a wide range of usage in the various fields, for example, medical imaging, video surveillance, and satellite imaging. However, due to limitations of hardware, many Low Resolution (LR) images are obtained than High Resolution images. As a result, researchers have come... up with new techniques that help them in obtaining HR images from LR images. Researchers have come up with a reconstruction technique known as Super-resolution (SR) technique (Bannore, 2009). The technique solves the problem of developing HR images from LR images since it allows the...

Construction technology

2 pages
(500 words)

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...Algorithm. LMS algorithm is nothing but one curve fitting tool to keep overall error minimum throughout the data range. Hence from the above graphs we can easily conclude about the behaviours of compressive strength with respect to concrete days, rebound number and pulse velocity.
Reference
Ashok K. Jain. "Reinforced Concrete Limit State Design". 6th Edition. NEM Chand & Brothers, Roorkee. 2006.... --------------------------- --------------------------- --------------------------- Construction Technology: Test Result Introduction
Compressive strength is one of the important parameters used for characterizing concrete. Measurement of its strength is done normally with an interval of 7 ...

Data Mining - Questions to answer

4 pages
(1000 words)

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...algorithms has been reviewed (J. Kolter and M. Maloof, 2003... 1. Is a Neural Network with one or more hidden layers more powerful than a single layer perceptron Explain (Hint: in terms of learning can a neuralnetwork with one or more hidden layers learn functions more complex than the perceptron)
An artificial neural network contains networked neurons working together to solve complex problems. A typical single-layer perceptron consists of one or more artificial neuron parallely arranged and is not computationally complex. In single layer perceptron, as the number of input increases the proportion of function decreases drastically. The drawbacks of single layer perceptron are described already (Minsky an...

Understanding Cryptography

4 pages
(1000 words)

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...algorithms to create a security framework that ensures security of packets transmitted over the network. The OpenSSL... Understanding Cryptography. Number: Lecturer: Introduction. Internet communication, wireless networking, mobile computing, and cloud computing are some of the trends shaping the computing and communication industry. All organizations are embracing such new technologies in a bid to enhance their performance and gain a competitive edge. These technologies help the companies to achieve great milestones in data processing and communication (Cisco Inc., 2014). However, they have a great concern with regard to information and data security.
This is where cryptography is used to secure and enha...

Fuzzy Logic with Data Mining with respect to Prediction and Clustering

8 pages
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...Algorithms that use fuzzy logic are increasingly being applied in several disciplines to help in data mining of databases. Fuzzy logic is an approach of data mining which involves computing the data based on the probable predictions and clustering as opposed to “true or false”. One of the potential applications of Fuzzy logic algorithms is the clustering of breast cancer data to enable oncologists detect and evaluate breast cancer risks such as malignant tumors. According to Jemal and Ferlay (2004, p.69), breast cancer is currently one... ? Fuzzy Logic with Data Mining with respect to Prediction and Clustering Insert (s) Fuzzy Logic with Data Mining with respect to Prediction and Clustering Introduction...

Coherent Diffraction Imaging

20 pages
(5000 words)

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...algorithms 7 2 The Gerchberg-Saxton “error-reduction” algorithm 7
2.2. Gradient-search algorithms 12
2.3. Input-output algorithms 13
3. Autocorrelation and its role in an object reconstruction 15
4. Phase retrieval stagnation: problems and solutions 17
4.1 Simultaneous twin images. 17
4.2 Stripes superimposed upon the image. 18
4.3 Unintentional truncation by the support constraint 19
6. Conclusion 22
Abstract
For many years lens-based optical techniques have been used for imaging, promoting the evolution of science. Nowadays coherent diffraction imaging (CDI) is a modern approach... of reconstruction of an object’s image on the basis of its diffraction pattern, which is recorded as a result...

Game Programming

10 pages
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...Algorithm: In BFS traversal, nodes on the same level are examined first. So, instead of going deep into thegraph, we examine the nodes across the breadth of the graph; before going to the next level. For BFS, we use a queue to pick a node to visit first, and place its unprocessed adjacent nodes in queue. Similarly, pick a node front of queue; if unvisited, we visit the node and again place its neighbors in the queue.
Output of BFS traversal:
a-----d-----c-----e-----f-----b
A2. Depth First Search (DFS) Traversal:
Contrary to BFS, DFS involves following the path in the graph as deep as possible. If there are no unvisited, adjacent nodes, then we backtrack... A1. Breadth First Search (BFS) Traversal...

Yahoo. Admission essay

6 pages
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...algorithm. It s can combine its current core competence which is its great focus on portal to give more refined search results. For example, the company can influence the power of social networks and blogs... Admission essay bases on Yahoo case 13 Yahoo is among the leading internet service offering company. It offers a variety of products such as advertisement, downloads, emails and streaming. It is currently ranked third in the industry. However, the company is facing a lot of challenges and losing its market to Google and other new players in the industry such as twitter and Facebook. Yahoo used to provide mailing services, gives new through flickers and other products. However, this display has now...

Operating System Simulator

6 pages
(1500 words)

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...algorithms including the First Come, First Served (FCFS) algorithm, Shortest Job First (SJF) algorithm, and the Round Robin (RR) scheduling algorithm. This simulator can be run in any operating system environment including UNIX systems such as Linux, so long as Java Runtime environment is installed. However, the JRE, Java Runtime environment installed should be the latest, such as the Java Runtime Environment... Operating System Simulator - Manual Introduction The CPU process-scheduling simulator has been developed using Java language, a powerful and popular software development language. The simulator is aimed at simulating behavior, illustrates the characteristics, and features various CPU scheduling...

The Simulator-Manual Paper

4 pages
(1000 words)

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...algorithm FCFS numprocs 8 firstarrival 2.0 interarrival constant 4.0 duration uniform 8.0 14.0 cpuburst constant 10.0 ioburst constant 6.0... Operating System Simulator - Manual Process Scheduling for Tahany Fergany generated Tue Feb 21 05:07:25 EST Process Scheduling Simulator version 1.100L288 by S. Robbins supported by NSF grants DUE-9750953 and DUE-9752165. See http://vip.cs.utsa.edu/nsf for simulator information. Java version 1.6.0_17 OS Windows 7 version 6.1 24827001400 Configuration File: logdir . logfn logfile.doc quiet . imagename gifim user Tahany Fergany portable true run myrun exp myexp Number of Run Files: 1 -------------------- name myrun comment This is a sample experimental run file...

Neutral network and machine learning

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...Algorithm 1 Introduction Genetic algorithm refers to search techniques which are based on experience that are used for purposes of solving problems, discovery and even learning. These search techniques imitate natural evolution. They use simulated evolution (Weisman & Pollack, 1995). Here a group of strings which are referred to as chromosomes and sometimes the genotype of the genome, usually encode candidate solutions which are also known as individuals and sometimes called creatures or phenotypes to a problem and this problem evolves to an optimal solution. Problems used to be in form of binary strings of 0s and 1s. Currently, there is usage of other encodings. This evolution normally... 0 Genetic...

Network and Machine Learning

7 pages
(1750 words)

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...Algorithm 1 Introduction Genetic algorithm refers to search techniques which are based on experience that are used for purposes of solving problems, discovery and even learning. These search techniques imitate natural evolution. They use simulated evolution (Weisman & Pollack, 1995).
Here a group of strings which are referred to as chromosomes and sometimes the genotype of the genome, usually encode candidate solutions which are also known as individuals and sometimes called creatures or phenotypes to a problem and this problem evolves to an optimal solution. Problems used to be in form of binary strings of 0s and 1s. Currently, there is usage of other encodings.
This evolution normally... 1.0 Genetic...