Search Results - (((((((ken OR wantin) OR span) OR fanting) OR cantor) OR anne) OR carter) OR wansing) algorithms.

Vortex dominated flows : a volume celebrating Lu Ting's 80th birthday

Table of Contents: “…Circular Discrepancy and a Monte Carlo Algorithm for Generating a Low Circular Discrepancy Sequence; 2 . …”
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Handbook of Computational Geometry. by Sack, J. R.

Table of Contents: “…Making geometry visible: An introduction to the animation of geometric algorithmsChapter 9. Spanning trees and spanners; Chapter 10. …”
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Softimage : towards a new theory of the digital image by Hoelzl, Ingrid, Marie, Rémi

Table of Contents: “…Cover -- Half-Title -- Title -- Copyright -- Dedication -- Contents -- List of Illustrations -- Acknowledgements -- Introduction -- Chapter 1: Moving Stills (The Ken Burns Effect) -- Chapter 2: Expanded Photography (The Desire for Endlessness) -- Chapter 3: The Photographic Now (From Sign to Signal) -- Chapter 4: In the Matrix (From Geometry to Algorithm) -- Chapter 5: The Operative Image (Google Street View: The World as Database) -- Chapter 6: In the Urban Data-Space (The Image as Moment of Network Access) -- Conclusion: Softimage -- Bibliography -- Back Cover…”
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Mathematical Foundation Of Informatics, The - Proceedings Of The Conference. by Van, Do Long

Table of Contents: “…Preface; Contents; On Growth Function of Petri Net and its Applications Pham Tra An; On an Infinite Hierarchy of Petri Net Languages Pham Tra A n and Pham Van Thao; Algorithms to Test Rational w-Codes Xavier Augros and Igor Litovsky; Distributed Random Walks for an Efficient Design of a Random Spanning Tree Hichem Baala and Marc Bui; Formal Concept Analysis and Rough Set Theory in Clustering Ho Tu Bao; A Simple Heuristic Method for the Min-Cut k-Balanced Partitioning Problem Lelia Blin and Ivan Lavallee; Longest Cycles and Restgraph in Maximal Non-Hamiltonian Graphs Vu Dinh Hoa.…”
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Computational mechanics of discontinua by Munjiza, Antonio A.

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Modeling Reality : How Computers Mirror Life. by Białynicki-Birula, Iwo

Table of Contents: “…Contents; 1 From building blocks to computers: Models and modeling; 2 The game of life: A legendary cellular automaton; 3 Heads or tails: Probability of an event; 4 Galton's board: Probability and statistics; 5 Twenty questions: Probability and information; 6 Snowflakes: The evolution of dynamical systems; 7 The Lorenz butterfly: Deterministic chaos; 8 From Cantor to Mandelbrot: Self-similarity and fractals; 9 Typing monkeys: Statistical linguistics; 10 The bridges of Königsberg: Graph theory; 11 Prisoner's dilemma: Game theory; 12 Let the best man win: Genetic algorithms.…”
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Text mining : applications and theory

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Intelligent Technologies : From Theory to Applications - The New Trends in Computational Intelligence. by Kvasnicka, V.

Table of Contents: “…Neural Networks; Superconvergence Concept in Machine Learning; Application of the Parallel Population Learning Algorithm to Training Feed-forward ANN; Markovian Architectural Bias of Recurrent Neural Networks; SOFM Training Speedup; Generalized Forecasting Sigma-Pi Neural Network; Human Centered Intelligent Robots Using "Ontological Neural Network"; Trajectory Bounds of Solutions of Delayed Cellular Neural Networks Differential Systems; From Plain to Modular Topology: Automatic Modularization of Structured ANNs.…”
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Power systems applications of graph theory by Zhu, Jizhong, 1961-

Table of Contents: “…Primal-Dual Algorithm; 4.4. MINIMUM SPANNING TREE; 4.4.1. Prim's Algorithm; 4.4.2. …”
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Artificial intelligence : approaches, tools, and applications

Table of Contents: “…EVOLUTIONARY COMPUTING ; 2.1. Genetic Algorithms ; 2.2. Mechanism of a Genetic Algorithm ; 3. …”
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Industrial Engineering Foundations : Bridging the Gap Between Engineering and Management. by Sassani, Farrokh

Table of Contents: “…5.2 Definition of Scheduling Terms5.3 Scheduling Algorithms; 5.3.1 Objectives in Scheduling Problems; 5.3.2 Industrial Problems; 5.3.3 The Practice; 5.4 n-Job 1-Machine Problem; 5.4.1 Classification of Scheduling Problems; 5.5 Johnson's Algorithm; 5.6 Johnson's Extended Algorithm; 5.7 Jackson's Algorithm; 5.8 Akers' Algorithm; 5.9 The Branch and Bound Method; 5.9.1 Lower Bounds for Completion Time; 5.9.2 Branch and Bound Algorithm; 5.10 Mathematical Solutions; 5.11 Closing Remarks; Exercises; Chapter 6 Forecasting; 6.1 Introduction; 6.1.1 Pre-Forecasting Analysis; 6.1.2 Forecasting Horizon.…”
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Data Analytics in Bioinformatics : A Machine Learning Perspective. by Satpathy, Rabinarayan

Table of Contents: “…3.4.1 Comparative Analysis of ANN With Broadly Used Traditional ML Algorithms -- 3.5 Critical Analysis -- 3.6 Conclusion -- References -- Part 2: MACHINE LEARNING AND GENOMIC TECHNOLOGY, FEATURE SELECTION AND DIMENSIONALITY REDUCTION -- 4 Dimensionality Reduction Techniques: Principles, Benefits, and Limitations -- 4.1 Introduction -- 4.2 The Benefits and Limitations of Dimension Reduction Methods -- 4.3 Components of Dimension Reduction -- 4.3.1 Feature Selection -- 4.3.2 Feature Reduction -- 4.4 Methods of Dimensionality Reduction -- 4.4.1 Principal Component Analysis (PCA)…”
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Bridge health monitoring, maintenance and safety : special topic volume with invited peer reviewed papers only

Table of Contents: “…Modal test and analysis of a bridge under the varying temperature condition -- Bridge significant failure mode identification strategy under traffic-load -- Fatigue reliability analysis of the stay cables of cable-stayed bridge under combined loads of stochastic traffic and wind -- Updating the finite element model of a bridge model using a hybrid optimization method -- An improved Taguchi method and its application in finite element model updating of bridges -- Nonlinear seismic response analysis of half through CFST arch bridge under 3-D earthquake waves -- Simplified seismic response assessment method and parametric study of multi-girder skew bridges -- Seismic testing of a long-span concrete filled steel tubular arch bridge -- Study on finite element model of bridge multi-pile foundation -- Sensor optimal placement for bridge structure based on single parents genetic algorithm with different fitness functions.…”
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Agent-based computing

Table of Contents: “…Analysis of Algorithm -- 2.1.1. Chain-Like Agent Structure -- 2.1.2. …”
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Integer and Combinatorial Optimization. by Wolsey, Laurence A.

Table of Contents: “…The Ellipsoid Algorithm.…”
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Advances in Knowledge-Based and Intelligent Engineering and Information Systems by Frydman, Claudia

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Discriminant Analysis and Clustering.

Table of Contents: “…COVER -- COPYRIGHT -- PREFACE -- TABLE OF CONTENTS -- CHAPTER 1 INTRODUCTION -- CHAPTER 2 METHODS -- 2.1 INTRODUCTION -- 2.2 METHODS OF DISCRIMINANT ANALYSIS -- 2.2.1 General Remarks -- 2.2.2 Classical Two-group Linear Discriminant Analysis -- 2.2.3 Classification Into One of Several Populations -- 2.2.4 Heterogeneous Covariance Matrices Case -- 2.2.5 Two-group Classification by Logistic Regression -- 2.2.6 Kernel and Nearest Neighbor Methods -- 2.2.7 Classification Trees -- 2.3 METHODS OF CLUSTER ANALYSIS -- 2.3.1 General Remarks -- 2.3.2 Algorithms -- 2.3.3 Perspective -- CHAPTER 3 THEORY -- 3.1 INTRODUCTION -- 3.2 THEORETICAL ISSUES IN DISCRIMINANT ANALYSIS -- 3.2.1 Introduction -- 3.2.2 The Fisher Linear Discriminant and Some of Its Children -- 3.2.3 Estimating Misclassification Costs -- 3.2.4 Nonparametric Techniques -- 3.3 STATISTICAL THEORY IN CLUSTERING -- 3.3.1 Introduction -- 3.3.2 High Density Clusters -- 3.3.3 Agglomerative Methods for High Density Clusters -- 3.3.4 Single Linkage, the Minimum Spanning Tree and Percolation -- 3.3.5 Mixtures -- 3.3.6 The Number of Clusters: Modes -- 3.3.7 The Number of Clusters: Components -- 3.3.8 Ultrametric and Evolutionary Distances -- CHAPTER 4 SOFTWARE AND ALGORITHM IMPLEMENTATION -- 4.1 INTRODUCTION -- 4.2 DISCRIMINANT ANALYSIS -- 4.2.1 Linear and Quadratic Discriminant Functions -- 4.2.2 Review of Packages -- 4.2.3 Logistic Regression -- 4.2.4 Classification Trees -- 4.3 CLUSTER ANALYSIS -- 4.3.1 Collections of Subroutines and Algorithms -- 4.3.2 Cluster Analysis Packages -- 4.3.3 Simple Cluster Analysis Programs -- 4.4 NEEDS -- CHAPTER 5 CLOSING PERSPECTIVE.…”
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Fast facts for nurses

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Future Farming. by Shukla, Praveen Kumar

Table of Contents: “…PROPOSED METHODOLOGY -- Pre-processing -- Leaf Image from Plants -- Segmentation Model Using Improved Canny Algorithm -- Steps of Improved Canny Algorithm -- Leaf Image Feature Selection Using Hybrid Black Widow Optimization Algorithm with Mayfly Optimization Algorithm (BWO-MA) -- Pseudo-Code of the Hybrid (BWO-MA) Algorithm -- Output: Objective Function's -RMSE -- Leaf Image Classification Using (BWO-MA) with ANN -- Hyper-Parameter Tuning With (BWO-MA) -- RESULT AND DISCUSSION -- Dataset Description -- Evaluation & Results -- CONCLUSION -- REFERENCES…”
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Rough fuzzy image analysis : foundations and methodologies

Table of Contents: “…1. Cantor, fuzzy, near, and rough sets in image analysis / James F. …”
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