Search Results - (((((((ant OR wanti) OR semantic) OR find) OR cantor) OR anne) OR shape) OR hints) algorithms.

Pathway modeling and algorithm research

Table of Contents: “…PATHWAY MODELING AND ALGORITHM RESEARCH; PATHWAY MODELING AND ALGORITHM RESEARCH; Contents; Preface; Biological Pathways and Their Modeling; Abstract; 1. …”
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Swarm Intelligence Algorithms : Modifications and Applications. by Slowik, Adam

Table of Contents: “…-- 1.2.3 Pseudo-code of standard ACO algorithm -- 1.3 Modified variants of ant colony optimization -- 1.3.1 Elitist ant systems -- 1.3.2 Ant colony system -- 1.3.3 Max-min ant system -- 1.3.4 Rank based ant systems -- 1.3.5 Continuous orthogonal ant systems…”
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Statistical models of shape : optimisation and evaluation by Davies, Rhodri (Rhodri H.)

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Distributed algorithms on graphs : proceedings of the 1st International Workshop on Distributed Algorithms : Ottawa, Canada, August 1985

Table of Contents: “…New upperbounds for decentralized extrema-finding in a ring of processors -- 4. Efficient algorithms for routing information in a multicomputer system -- 5. …”
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Ideals, Varieties, and Algorithms : an Introduction to Computational Algebraic Geometry and Commutative Algebra by Cox, David, Little, John, O'Shea, Donal

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Elimination Practice : Software Tools and Applications (With Cd-Rom). by Wang, Dongming

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Automatic defense against zero-day polymorphic worms in communication networks by Mohammed, Mohssen, 1982-

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C++ Data Structures and Algorithms : Learn how to write efficient code to build scalable and robust applications in C++. by Anggoro, Wisnu

Table of Contents: “…Chapter 4: Arranging Data Elements Using a Sorting AlgorithmTechnical requirements; Bubble sort; Selection sort; Insertion sort; Merge sort; Quick sort; Counting sort; Radix sort; Summary; QA section; Further reading; Chapter 5: Finding out an Element Using Searching Algorithms; Technical requirements; Linear search; Developing a linear search algorithm; Implementing the linear search algorithm; Binary search; Developing binary search algorithm; Implementing binary search algorithm ; Ternary search; Developing ternary search algorithm; Applying the ternary search algorithm.…”
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Semantic matchmaking with nonmonotonic description logics by Grimm, Stephan

Table of Contents: “…Nonmonotonic Reasoning in the Semantic WebNonmonotonic Description Logics; Autoepistemic Description Logics; Formal Semantics for Autoepistemic DLs; Reasoning with Epistemic Operators; Circumscriptive Description Logics; Formal Semantics for Circumscriptive DLs; Reasoning with Circumscribed Knowledge Bases; Terminological Defaults; Discussion; A Reasoning Algorithm for Circumscriptive Description Logics; Principle Idea of a Tableaux Extension; Extending DL Tableaux Calculi by Preference Clashes; Restrictions on the Formalism; Deciding Circumscriptive ALCO…”
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Finding the Forest in the Trees : the Challenge of Combining Diverse Environmental Data. by Staff, National Research Council

Table of Contents: “…""Finding the Forest in the Trees""; ""Copyright""; ""Preface""; ""Acknowledgments""; ""Contents""; ""Executive Summary""; ""SUMMARY OF CONCLUSIONS AND RECOMMENDATIONS""; ""Addressing Barriers Deriving from the Data""; ""Addressing Barriers Deriving from Users' Needs""; ""Addressing Barriers Deriving from Organizational Interactions""; ""Addressing Barriers Deriving from System Considerations""; ""TEN KEYS TO SUCCESS""; ""1 Introduction""; ""METHODOLOGY OF THE STUDY""; ""ORGANIZATION OF THE REPORT""; ""REFERENCES""; ""2 Impact Assessment Project for Drought Early Warning in the Sahel""…”
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Algorithms for image processing and computer vision by Parker, J. R. (Jim R.), 1955-

Table of Contents: “…Algorithms for Image Processing and Computer Vision; Contents; Preface; Chapter 1 Practical Aspects of a Vision System -- Image Display, Input/Output, and Library Calls; Chapter 2 Edge-Detection Techniques; Chapter 3 Digital Morphology; Chapter 4 Grey-Level Segmentation; Chapter 5 Texture and Color; Chapter 6 Thinning; Chapter 7 Image Restoration; Chapter 8 Classification; Chapter 9 Symbol Recognition; Chapter 10 Content-Based Search -- Finding Images by Example; Chapter 11 High-Performance Computing for Vision and Image Processing; Index.…”
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Scalable algorithms for contact problems by Dostál, Zdeněk, Kozubek, Tomáš, 1975-, Sadowská, Marie, Vonk, Vít

Table of Contents: “…Optimal QP and QCQP Algorithms -- 5. Conjugate Gradients -- 6. Gradient Projection for Separable Convex Sets -- 7. …”
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Pattern Recognition. by Theodoridis, Sergios

Table of Contents: “…Chapter 13 Clustering Algorithms II: Hierarchical AlgorithmsChapter 14 Clustering Algorithms III: Schemes Based on Function Optimization; Chapter 15 Clustering Algorithms IV; Chapter 16 Cluster Validity; Appendix A Hints from Probability and Statistics; Appendix B Linear Algebra Basics; Appendix C Cost Function Optimization; Appendix D Basic Definitions from Linear Systems Theory; Index.…”
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Number, Shape, & Symmetry : an Introduction to Number Theory, Geometry, and Group Theory. by Herrmann, Diane L.

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Graph algorithms and applications 3

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Graph algorithms and applications 4

Table of Contents: “…Statistical analysis of algorithms: a case study of market-clearing mechanisms in the power industry / Chris Barrett [and others], communicated by Dorothea Wagner. …”
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Data management in the semantic web

Table of Contents: “…DATA MANAGEMENT IN THE SEMANTIC WEB ; DATA MANAGEMENT IN THE SEMANTIC WEB ; CONTENTS ; PREFACE ; INTERPRETATIONS OF THE WEB OF DATA; Abstract; 1. …”
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Random Iterative Models by Duflo, Marie

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Metaheuristic optimization for the design of automatic control laws by Sandou, Guillaume

Table of Contents: “…Ant colony optimization…”
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Optimization of Computer Networks : Modeling and Algorithms: a Hands-On Approach. by Pavón Mariño, Pablo

Table of Contents: “…7.1 Introduction -- 7.2 Node Location Problems -- 7.3 Full Topology Design Problems -- 7.4 Multilayer Network Design -- 7.5 Notes and Sources -- 7.6 Exercises -- References -- Part Two: Algorithms -- Chapter 8: Gradient Algorithms in Network Design -- 8.1 Introduction -- 8.2 Convergence Rates -- 8.3 Projected Gradient Methods -- 8.4 Asynchronous and Distributed Algorithm Implementations -- 8.5 Non-Smooth Functions -- 8.6 Stochastic Gradient Methods -- 8.7 Stopping Criteria -- 8.8 Algorithm Design Hints -- 8.9 Notes and Sources -- 8.10 Exercises -- References…”
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