Search Results - ((((((ant OR ante) OR parted) OR cantor) OR anne) OR carter) OR wanting) algorithms.

Ant Colony Optimization and Constraint Programming. by Solnon, Christine

Table of Contents: “…Constraint-based local search; 7.4. Discussion; PART II. ANT COLONY OPTIMIZATION; Introduction to Part II.…”
Full text (MFA users only)

Ant colony optimization by Dorigo, Marco

Table of Contents: “…Preface; Acknowledgments; 1 -- From Real to Artificial Ants; 2 -- The Ant Colony Optimization Metaheuristic; 3 -- Ant Colony Optimization Algorithms for the Traveling Salesman Problem; 4 -- Ant Colony Optimization Theory; 5 -- Ant Colony Optimization for NP-Hard Problems; 6 -- AntNet: An ACO Algorithm for Data Network Routing; 7 -- Conclusions and Prospects for the Future; Appendix: Sources of Information about the ACO Field; References; Index.…”
Full text (MFA users only)

Theory of randomized search heuristics : foundations and recent developments

Table of Contents: “…Theory of Particle Swarm Optimization Carsten Witt; 8. Ant Colony Optimization: Recent Developments in Theoretical Analysis Walter J. …”
Full text (MFA users only)

Stabilisation and Motion Control of Unstable Objects by Formalʹskiĭ, A. M. (Aleksandr Moiseevich)

Full text (MFA users only)

Bioinformatics algorithms : techniques and applications

Table of Contents: “…BIOINFORMATICS ALGORITHMS; CONTENTS; Preface; Contributors; 1 Educating Biologists in the 21st Century: Bioinformatics Scientists versus Bioinformatics Technicians; PART I TECHNIQUES; 2 Dynamic Programming Algorithms for Biological Sequence and Structure Comparison; 3 Graph Theoretical Approaches to Delineate Dynamics of Biological Processes; 4 Advances in Hidden Markov Models for Sequence Annotation; 5 Sorting- and FFT-Based Techniques in the Discovery of Biopatterns; 6 A Survey of Seeding for Sequence Alignment; 7 The Comparison of Phylogenetic Networks: Algorithms and Complexity.…”
Full text (MFA users only)

Algorithms for Dummies. by Mueller, John Paul

Table of Contents: “…Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Getting Started with Algorithms -- Chapter 1 Introducing Algorithms -- Describing Algorithms -- The right way to make toast: Defining algorithm uses -- Finding algorithms everywhere -- Using Computers to Solve Problems -- Getting the most out of modern CPUs and GPUs -- Working with special-purpose chips -- Networks: Sharing is more than caring -- Leveraging available data…”
Full text (MFA users only)

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

Full text (MFA users only)

Nature-inspired optimization algorithms by Yang, Xin-She

Full text (MFA users only)

Multi-Objective Optimization in Theory and Practice II : metaheuristic algorithms. by Keller, André A.

Full text (MFA users only)

Swarm intelligence and bio-inspired computation : theory and applications

Full text (MFA users only)

Algorithmic techniques for the polymer sciences by Tice, Bradley S.

Table of Contents: “…Chapter 14: Feedback Systems for Nontraditional Medicines: A Case for the Signal Flow DiagramChapter 15: Chromatic Aspects of the Signal Flow Diagram; Chapter 16: Junction Graphs; Chapter 17: Embedded Symbol Notation Diagrams and Embedded Symbol Notation Matrix Diagrams; Chapter 18: Feedback Theory: Properties of Signal Flow Graphs; Chapter 19: An Overview of Signal Flow Graphs; Chapter 20: A Theory on Neurological Systems-Part I and Part II; Chapter 21: A Theoretical Model of Feedback in Pharmacology Using Signal Flow Diagrams; Appendix A: A New Foundation for Information.…”
Full text (MFA users only)

Stochastic Local Search : Foundations and Applications. by Hoos, Holger

Table of Contents: “…Empirical Analysis of SLS Algorithms; Chapter 5. Search Space Structure and SLS Performance; Part II: Applications; Chapter 6. …”
Full text (MFA users only)

Parallel Computing Using the Prefix Problem. by Lakshmivarahan, S.

Table of Contents: “…Preface; Acknowledgments; Part One -- Getting Started; Chapter 1 -- The Prefix Problem And Its Applications; 1.1 The Prefix Problem; 1.2 Why Prefix Problem; 1.3 Exercises; 1.4 Notes and References; Chapter 2 -- Parallel Machines And Models -- An Overview; 2.1 The Need for Parallelism; 2.2 A Classification of Parallel Computers; 2.3 Parallel Models; 2.4 Performance Measures; 2.5 A Parallel Complexity Class; 2.6 Brent's Inequality; 2.7 A Simple Lower Bound; 2.8 Exercises; 2.9 Notes and References; Part Two -- Algorithms For Shared Memory Models.…”
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)

Evolutionary optimization algorithms by Simon, Dan, 1960-

Table of Contents: “…Cover; Title Page; Copyright Page; SHORT TABLE OF CONTENTS; DETAILED TABLE OF CONTENTS; Acknowledgments; Acronyms; List of Algorithms; PART I INTRODUCTION TO EVOLUTIONARY OPTIMIZATION; 1 Introduction; 1.1 Terminology; 1.2 Why Another Book on Evolutionary Algorithms?…”
Full text (MFA users only)

Concurrency by Malkhi, Dahlia

Table of Contents: “…Shared Memory and the Bakery Algorithm -- 2. The Notions of Time and Global State in a Distributed System -- 3. …”
Full text (MFA users only)

Providing Sound Foundations for Cryptography : On the Work of Shafi Goldwasser and Silvio Micali. by Goldreich, Oded

Full text (MFA users only)

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…”
Full text (MFA users only)

A CALCULUS OF IDEAS : a MATHEMATICAL STUDY OF HUMAN THOUGHT. by Grenander, Ulf

Full text (MFA users only)

Data Mining Algorithms : Explained Using R. by Cichosz, Pawel

Table of Contents: “…Cover; Title Page; Copyright; Contents; Acknowledgements; Preface; Part I Preliminaries; Chapter 1 Tasks; 1.1 Introduction; 1.1.1 Knowledge; 1.1.2 Inference; 1.2 Inductive learning tasks; 1.2.1 Domain; 1.2.2 Instances; 1.2.3 Attributes; 1.2.4 Target attribute; 1.2.5 Input attributes; 1.2.6 Training set; 1.2.7 Model; 1.2.8 Performance; 1.2.9 Generalization; 1.2.10 Overfitting; 1.2.11 Algorithms; 1.2.12 Inductive learning as search; 1.3 Classification; 1.3.1 Concept; 1.3.2 Training set; 1.3.3 Model; 1.3.4 Performance; 1.3.5 Generalization; 1.3.6 Overfitting; 1.3.7 Algorithms; 1.4 Regression.…”
Full text (MFA users only)