Search Results - (((((((kant OR dkantis) OR semantic) OR king) OR cantor) OR anne) OR plans) OR hints) algorithms.

Network-Based Distributed Planning Using Coevolutionary Algorithms. by Subbu, Raj

Table of Contents: “…Combinatorial optimization. 2.3. Evolutionary algorithms. 2.4. Agents. 2.5. Distributed problem solving -- 3. …”
Full text (MFA users only)

Theory of randomized search heuristics : foundations and recent developments

Full text (MFA users only)

Genetic Algorithms : Concepts and Designs. by Man, K. F.

Table of Contents: “…Genetic Algorithms in Production Planning and Scheduling Problems; 10. …”
Full text (MFA users only)

Algorithmic Puzzles. by Levitin, Anany, Levitin, Maria

Table of Contents: “…-- General strategies for algorithm design -- Analysis techniques -- Easier puzzles (#1 to #50) -- Puzzles of medium difficulty (#51 to #110) -- Harder puzzles (#111 to #150) -- Hints -- Solutions -- References -- Design stragety and analysis index.…”
Full text (MFA users only)

Algorithmic composition : a guide to composing music with Nyquist by Simoni, Mary Hope

Full text (MFA users only)

Permutation Group Algorithms by Seress, kos

Full text (MFA users only)

Nature-inspired optimization algorithms by Yang, Xin-She

Full text (MFA users only)

Algorithms in invariant theory by Sturmfels, Bernd, 1962-

Full text (MFA users only)

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. …”
Full text (MFA users only)

Algorithms and architectures of artificial intelligence by Tõugu, Enn, 1935-

Table of Contents: “…Language of algorithms -- Knowledge Handling -- Search -- Learning and Decision Making -- Problem Solving and Planning.…”
Full text (MFA users only)

Computer search algorithms

Table of Contents: “…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.…”
Full text (MFA users only)

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…”
Full text (MFA users only)

Heuristic search : theory and applications by Edelkamp, Stefan

Table of Contents: “…Introduction -- Basic search algorithms -- Dictionary data structures -- Automatically created heuristics -- Heuristic search under memory constraints. …”
Full text (MFA users only)

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.…”
Full text (MFA users only)

Genetic Algorithms + Data Structures = Evolution Programs by Michalewicz, Zbigniew

Table of Contents: “…I. Genetic Algorithms -- 1 GAs: What Are They? -- 2 GAs: How Do They Work? …”
Full text (MFA users only)

Graph algorithms and applications 3

Full text (MFA users only)

C# Data Structures and Algorithms : Explore the possibilities of C# for developing a variety of efficient applications. by Jamro, Marcin

Table of Contents: “…Jagged arraysExample -- yearly transport plan; Sorting algorithms; Selection sort; Insertion sort; Bubble sort; Quicksort; Simple lists; Array list; Generic list; Example -- average value; Example -- list of people; Sorted lists; Example -- address book; Linked lists; Example -- book reader; Circular-linked lists; Implementation; Example -- spin the wheel; Summary; Chapter 3: Stacks and Queues; Stacks; Example -- reversing words; Example -- Tower of Hanoi; Queues; Example -- call center with a single consultant; Example -- call center with many consultants; Priority queues.…”
Full text (MFA users only)

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. …”
Full text (MFA users only)

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…”
Full text (MFA users only)

Learning OWL class expressions by Lehmann, Jens, 1982-

Table of Contents: “…Refinement Operator Based OWL Learning Algorithms; OCEL (OWL Class Expression Learner); Redundancy Elimination; Creating a Full Learning Algorithm; ELTL (EL Tree Learner)…”
Full text (MFA users only)