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|a QA76.9.A43
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|a UAMI
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| 245 |
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|a Computer search algorithms /
|c Elisabeth C. Salander, editor.
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| 260 |
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|a Hauppauge, N.Y. :
|b Nova Science Publishers,
|c ©2011.
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| 300 |
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|a 1 online resource (xiii, 191 pages) :
|b illustrations
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Computer science, technology and applications
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|a Includes bibliographical references and index.
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|a Print version record.
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|a COMPUTER SEARCH ALGORITHMS ; COMPUTER SEARCH ALGORITHMS ; CONTENTS ; PREFACE ; LIVE SOFT-MATTER QUANTUM COMPUTING ; ABSTRACT ; INTRODUCTION ; EVOLUTIONARY TRANSITIONS, CONFLICT MEDIATION, AND QUANTUM MECHANICS; QUANTUM CELL BIOLOGY AND CELLULAR DECISION MAKING ; MICROBIAL INTELLIGENCES AND LIVE, SOFT MATTER QUANTUM COMPUTING; DIRECTIONS FOR FUTURE RESEARCH AND DEVELOPMENT OF BIOTECHNOLOGIES ; CONCLUSION ; ACKNOWLEDGMENTS; REFERENCES ; STUDYING DIFFERENT HEURISTIC SEARCHES TO SOLVE A REAL-WORLD FREQUENCY ASSIGNMENT PROBLEM; ABSTRACT ; INTRODUCTION.
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8 |
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|a THE FREQUENCY PLANNING PROBLEM IN GSM NETWORKS Mathematical Description ; HEURISTIC SEARCHES INCLUDED IN OUR STUDY ; The Genetic Algorithm ; The Scatter Search Heuristic ; The Population Based Incremental Learning ; The Greedy Randomized Adaptive Search Procedure ; EXPERIMENTAL EVALUATION AND RESULTS ; Empirical Results ; CONCLUSION AND FUTURE WORK ; ACKNOWLEDGMENTS ; REFERENCES ; EMERGENCE AND ADVANCES OF QUANTUM SEARCH; BACKGROUND ; AN INTRODUCTION TO QUANTUM COMPUTATION ; Quantum Search Algorithm ; A Quantum Oracle ; Grover's Search Algorithm ; Optimality of Grover's Algorithm.
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| 505 |
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|a CONTINUOUS TIME SEARCH ALGORITHM Uses of Grover's Search Algorithm ; Hardware Implementation ; CONCLUSION; ACKNOWLEDGMENTS ; REFERENCES ; EFFICIENT IMPLEMENTATIONS OF BI-LEVEL PROGRAMMING METHODS FOR CONTINUOUS NETWORK DESIGN PROBLEMS ; ABSTRACT; 1. INTRODUCTION ; 2. BI-LEVEL PROGRAMMING PROBLEM (BLPP) FORMULATION FOR ENDP ; 3. SOLUTION ALGORITHMS ; 3.1. Rosen's Gradient Projection Method ; 3.2. Conjugate Gradient Projection Method ; 3.3. Quasi-Newton Projection Method: Algorithm of BFGS ; 3.4. Rosen's Gradient Projection Method with PARTAN ; 4. COMPUTATIONAL RESULTS.
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| 505 |
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|a CONCLUSIONS AND DISCUSSIONS ACKNOWLEDGMENTS ; REFERENCES ; A HYBRID INTELLIGENT TECHNIQUE COMBINES NEURAL NETWORKS AND TABU SEARCH METHODS FOR FORECASTING ; ABSTRACT ; 1. INTRODUCTION ; 2. ARTIFICIAL NEURAL NETWORKS ; 3. THE HYBRID INTELLIGENT TECHNIQUE FOR FORECASTING ; 3.1. The Tabu Search Algorithm ; 3.2. The Hybrid Intelligent Method for Forecasting ; 4. IMPLEMENTATION ; CONCLUSION ; REFERENCES; LU_HANCOCK: A BEST FIRST SEARCH TO PROCESS SINGLE-DESTINATION MULTIPLE-ORIGIN ROUTE QUERY IN A GRAPH ; ABSTRACT ; INTRODUCTION ; RELATED WORK.
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| 505 |
8 |
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|a LU: A BEST FIRST SEARCH ALGORITHM TO PROCESS SOMDR QUERIES IN A GRAPHAlgorithm ; Admissibility and Optimality ; LU_HANCOCK: THE REVERSE LU TO PROCESS SDMOR QUERIES IN A GRAPH; Algorithm ; Admissibility and Optimality ; The Pseudo Code ; EXPERIMENT AND RESULT ANALYSIS ; Performance Measures ; RESULTS ; CONCLUSION ; REFERENCES; SOME HEURISTIC APPROACHES FOR SOLVING NON-CONVEX OPTIMIZATION PROBLEMS; Abstract; 1. Introduction; 2. Stochastic methods for solving continuous non-convex optimization problems; 2.1. Simulated annealing; 2.1.1. Metropolis algorithm and simulated annealing.
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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|a Computer algorithms.
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|a Querying (Computer science)
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|a Database searching.
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|a Algorithms
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| 650 |
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|a Algorithmes.
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|a Bases de données
|x Interrogation.
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| 650 |
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|a algorithms.
|2 aat
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| 650 |
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|a online searching.
|2 aat
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| 650 |
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|a COMPUTERS
|x Database Management
|x General.
|2 bisacsh
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|a COMPUTERS
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|a Database searching
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| 650 |
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| 700 |
1 |
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|a Salander, Elisabeth C.
|
| 776 |
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8 |
|i Print version:
|t Computer search algorithms.
|d Hauppauge, N.Y. : Nova Science Publishers, ©2011
|z 9781611225273
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|w (OCoLC)671491676
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