Problem Set 2

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    New Techniques in Design and Analysis of Exponential Algorithm

    Abstract: In this paper we first see how NP problems can be categorized and look at some examples. We then analyze the subset sum problem and prove its NP completeness. We look at various algorithms used to solve the problem and the efficiency of each algorithm. Hence we prove that subset sum problem is NP complete. Keywords: NP complete, NP hard, complexity, subset sum, exponential I. Introduction In the study of computation complexity of problems, we find out the resources required during

    Words: 1436 - Pages: 6

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    Critical Section Problems

    The Critical Section Problem Problem Description Informally, a critical section is a code segment that accesses shared variables and has to be executed as an atomic action. The critical section problem refers to the problem of how to ensure that at most one process is executing its critical section at a given time. Important: Critical sections in different threads are not necessarily the same code segment! Concurrent Software Systems 2 1 Problem Description Formally, the following

    Words: 1889 - Pages: 8

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    Hcp 220 Week 3 Checkpoint Equivalent Measurements and Measurement Symbols

    for the following exercises: 1. 2 mcg = ____ mg 2. 0.4 L = ____ mL 3. 100 mg = ____ mcg 4. 600 mg = ____ g 5. 3 kg = ____ g 6. 1 mm = ____ cm 7. 250 mL = ____ L 8. 125 mcg = ____ mg 9. 60 kg = ____ g 10. 500 mcg = ____ g Complete the following exercises: 1. Test Your Knowledge, p. 32: Problem 34 & 35 2. Test Your Knowledge, p. 33: Problems 41, 63, & 64 Postyour work and answers to both sets of problems along with a signed copy of the Certificate

    Words: 4699 - Pages: 19

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    Microeconomics

    this point. The corrected and added text can be obtained from the author's homepage at http://arielrubinstein.tau.ac.il/ . October 21, 2005 12:18 master Sheet number 1 Page number 1 October 21, 2005 12:18 master Sheet number 2 Page number 2 October 21, 2005 12:18 master Sheet number 3 Page number i Lecture Notes in Microeconomic Theory October 21, 2005 12:18 master Sheet number 4 Page number ii October 21, 2005 12:18 master Sheet number 5 Page number

    Words: 42501 - Pages: 171

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    Hcp 220 Week 4 Checkpoint- Common Applications of Different Conversion Systems and Measurements of Time and Temperature

    administer the medication? 2. How much Tylenol® (in milligrams) is contained in a teaspoonful? Refer to Table 5-2 on p. 39. 3. How much codeine (in milligrams) is contained in a teaspoonful? Refer to Table 5-2 on p. 39. 4. How much elixir (in ounces) should the pharmacist dispense for a 4-day course of therapy? Refer to Table 4-6 on p. 30. Completethe following exercises. 1. Critical Thinking, p. 47: Problems 1 & 2 2. Test Your Knowledge, p. 47: Problems 5, 9, 17, 28, 34, 42

    Words: 5521 - Pages: 23

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    Busn 380 Study Education on Your Terms/Busn380Study.Com

    ------------------------------- BUSN 380 Week 1 Problem Set 1 FOR MORE CLASSES VISIT www.busn380study.com TCO 1 Time value of money relationships & applications; opportunity costs; personal financial statements -Problem Set 1 1. Ben Collins plans to buy a house for $65,000. If that real estate property is expected to increase in value 5 percent each year, what would its approximate value be seven years from now? 2. At an annual interest rate of five percent, how long

    Words: 653 - Pages: 3

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    Algorithmics

    Algorithmic BFS, DFS, Kruskal, Prim’s, Adjacency matrix, Adjacency List  Table of Contents Analysis of the Problem 4 Graph Searching 4 BFS: 4 DFS 4 Comparison of Algorithms 5 Features of BFS and DFS Algorithms 5 Minimum Spanning Tree 6 Prim’s Algorithm: 6 Kruskal’s Algorithm: 6 Feature of Prim’s and Kruskal’s Algorithm 7 Application 7 Shortest Path Problem 7 Shortest Path Algorithms 7 Adjacency Matrix:- 8 Adjacency List:- 9 Unweighted and Undirected Breadth First Search (BFS)

    Words: 8195 - Pages: 33

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    Htdfd

    Room: 3:00 pm - 3:50 pm 404, Block B OFFICE HOURS M-W-F 2:00 pm - 3:00 pm T-TH 12:00 am - 1:00 pm Otherwise by appointment Room: 805, Block A COURSE OBJECTIVES This is a sophomore-level course which addresses the fundamentals of digital systems needed to develop the ability of the student in understanding the concepts related to this area of engineering. The objective is to train the students on the various tools used to solve problems related to the design of digital systems. These include:

    Words: 1685 - Pages: 7

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    Marketing

    com 1 UNIT - I Lesson 1 - Set theory and Set Operations Contents: 1.1 Aims and Objectives 1.2 Sets and elements 1.3 Further set concepts 1.4 Venn Diagrams 1.5 Operations on Sets 1.6 Set Intersection 1.7 Let – us Sum Up 1.8 Lesson – End Activities 1.9 References 1.1 Aims and Objectives This Lesson introduces some basic concepts in Set Theory, describing sets, elements, Venn diagrams and the union and intersection of sets. 1.2 Sets and elements Sets of objects, numbers, departments

    Words: 4701 - Pages: 19

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    Student

    COMP101 – Problem Solving with Computing Homework - WEEK 2 [30 points] This is a review of some of the material from Chapter 2 and lectures from class. No credit for answers that are copies or near verbatim transcripts – please use your own words1 and document sources where appropriate. 1 This will apply to all assignments in this class. Answer the following questions: Chapter 2 1. Short Answers [1 point each, 2 points total] 1. What does a professional programmer usually do

    Words: 1823 - Pages: 8

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