Structures‚ Algorithm Analysis: Table of Contents 页码，1/1 Data Structures and Algorithm Analysis in C by Mark Allen Weiss PREFACE CHAPTER 1: INTRODUCTION CHAPTER 2: ALGORITHM ANALYSIS CHAPTER 3: LISTS‚ STACKS‚ AND QUEUES CHAPTER 4: TREES CHAPTER 5: HASHING CHAPTER 6: PRIORITY QUEUES (HEAPS) CHAPTER 7: SORTING CHAPTER 8: THE DISJOINT SET ADT CHAPTER 9: GRAPH ALGORITHMS CHAPTER 10: ALGORITHM DESIGN TECHNIQUES CHAPTER 11: AMORTIZED ANALYSIS mk:@MSITStore:K:\Data.Structures.and.Algorithm.Analysis
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efficient operation of both primary and cognitive users. In this paper‚ an algorithm is used to dynamically control transmission power‚ which is capable of achieving reasonably good solutions fast enough in order to guarantee an acceptable level of performance for CU without degrading the performance of primary user(s). Genetic Algorithm is used to enhance the convergence time. Keywords: Cognitive radio‚ Genetic Algorithm‚ Power allocation‚ Quality of Service. I. INTRODUCTION The recent rapid
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iust.ac.ir/ An Iterated Greedy Algorithm for Solving the Blocking Flow Shop Scheduling Problem with Total Flow Time Criteria D. Khorasanian & G. Moslehi* Danial Khorasanian is an M.S. Student of Department of Industrial Engineering‚ Isfahan University of Technology‚ Isfahan‚ Iran Ghasem Moslehi is a Professor of Department of Industrial Engineering‚ Isfahan University of Technology‚ Isfahan‚ Iran KEYWORDS Constructive heuristic‚ Iterated greedy algorithm‚ Blocking flow shop‚ Total flow time
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learning methods‚ and etc. In this project‚ genetic algorithm will be used to solve this problem by using GAlib package. Genetic Algorithms are adaptive methods which may be used to solve search and optimization problems. They are based on the genetic processes of biological organisms. Over many generations‚ natural populations evolve according to the principles of natural selection and "survival of the fittest". By mimicking this process‚ genetic algorithms are able to "evolve" solutions to real world
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Pencil Beam and Collapsed Cone Algorithm Calculations for a Lung-type Volume Using CT and the OMP Treatment Planning System Methods Measurements have been carried out in both phantom and a specifically designed phantom which simulated human lung volume. Samples were taken from the Lung Planning CT images for 15 patients using the Oncentra Masterplan OMP Treatment Planning System. The X-axis was‚ following convention‚ taken to be horizontal‚ and the Y-axis to be vertical; accordingly‚ abscissa
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RECENT DEVELOPMENTS IN METAHEURISTIC ALGORITHMS: A Review M. P. Saka* * E. Doğan‡ Corresponding author‚ Prof. Dr.‚ University of Bahrain‚ Department of Civil Engineering‚ Isa Town‚ Bahrain ‡ Assistant Professor‚ Celal Bayar University‚ Civil Engineering Department‚ Manisa‚ Turkey Stream: ECT2012RL Reference: ECT2012RL/2011/00005 1 Abstract Recent developments in optimization techniques that deals in finding the solution of combinatorial optimization problems has provided engineering
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Asymptotic Functions: Big-O notation: The formal method of expressing the upper bound of an algorithm’s running time (worst case) Big-Omega notation: The formal method of expressing the lower bound of an algorithm’s running time (best case) Theta Notation: The method of expressing that a given function is bounded from both top to bottom by the same function This exists if and only if f(n) is O(g(n)) and f(n) is Ω(g(n)) Little-O notation:
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Recommended Systems using Collaborative Filtering and Classification Algorithms in Data Mining Dhwani Shah 2008A7PS097G Mentor – Mrs. Shubhangi Gawali BITSC331 2011 1 BITS – Pilani‚ K.K Birla Goa INDEX S. No. 1. 2. 3. 4. 5. 6. 7. 8. 9. Topic Introduction to Recommended Systems Problem Statement Apriori Algorithm Pseudo Code Apriori algorithm Example Classification Classification Techniques k-NN algorithm Determine a good value of k References Page No. 3 5 5 7 14 16 19 24 26 2
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International Data Encryption Algorithm CS-627-1 Fall 2004 By How-Shen Chang Table of Contents: Introduction 2 Description of IDEA 3 Key Generation 3 Encryption 4 Decryption 6 Modes of operation 6 Weak keys for IDEA 6 Implementation 7 Applications 8 Conclusion 9 Introduction The Data Encryption Standard (DES) algorithm has been a popular secret key encryption algorithm and is used in many commercial and financial applications. Although introduced in 1976‚ it
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1 A Modified Shuffled Frog Leaping Algorithm for Nonconvex Economic Dispatch Problem Eiman Sayedi‚ Malihe M. Farsangi‚ Mohammad Barati‚ and Kwang Y. Lee‚ Fellow‚ IEEE al. in [3]. To improve the performance of the SFL algorithm‚ a chaos search is combined with SFL by Li‚ et al. in [4]. In [5]‚ a new frog leaping rule is introduced and the direction and the length of each frog’s jump are extended by emulating frog’s perception and action uncertainties. Zhen‚ et al. in [6]‚ introduced a new leaping
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