Search Results - ("algorithm" OR "algorithms")

Modelling for coastal hydraulics and engineering by Chau, Kwok Wing

Table of Contents: “…Introduction -- Coastal modelling -- Conventional modelling techniques for coastal engineering -- Finite difference methods -- Finite element methods -- Soft computing techniques -- Artificial neural networks -- Fuzzy inference systems -- Evolutionary algorithms -- Knowledge-based systems -- Conclusions.…”
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Multi-Objective Optimization in Chemical Engineering : Developments and Applications. by Rangaiah, Gade Pandu

Table of Contents: “…5.6.3 General Discussion5.7 Conclusions; Acronyms; References; 6 Robust Multi-Objective Genetic Algorithm (RMOGA) with Online Approximation under Interval Uncertainty; 6.1 Introduction; 6.2 Background and Definition; 6.2.1 Multi-Objective Genetic Algorithm (MOGA); 6.2.2 Multi-Objective Robustness with Interval Uncertainty: Basic Idea; 6.3 Robust Multi-Objective Genetic Algorithm (RMOGA); 6.3.1 Nested RMOGA; 6.3.2 Sequential RMOGA; 6.3.3 Comparison between Nested and Sequential RMOGA; 6.4 Online Approximation-Assisted RMOGA; 6.4.1 Steps in Approximation-Assisted RMOGA; 6.4.2 Sampling.…”
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The foundations of the digital wireless world : selected works of A J Viterbi by Viterbi, Andrew J.

Table of Contents: “…The foundations of the digital wireless world: a centenary lecture -- Phase-locked loop dynamics in the presence of noise by Fokker-Planck techniques -- Nonlinear estimation of PSK-modulated carrier phase with application to burst digital transmission -- Error bounds for convolutional codes and an asymptotically optimum decoding algorithm -- Orthogonal tree codes for communication in the presence of white Gaussian noise -- Convolutional codes and their performance in communication systems -- Trellis encoding of memoryless discrete-time sources with a fidelity criterion -- A pragmatic approach to trellis-coded modulation -- A personal history of the Viterbi Algorithm -- Spread spectrum communications: myths and realities -- Spread spectrum and satellites: a symbiosis -- Very low rate convolutional codes for maximum theoretical performance of spread-spectrum multiple-access channels -- Four laws of nature and society: the governing principles of digital wireless communication networks -- Erlang capacity of a power controlled CDMA system -- Performance of power-controlled wideband terrestrial digital communication -- CDMA/HDR: a bandwidth-efficient high-speed wireless data service for nomadic users -- Shannon capacity limits of wireless networks.…”
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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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The traveling salesman problem and its variations

Table of Contents: “…Punnen -- Polyhedral theory and branch-and-cut algorithms for the symmetric TSP / Denis Naddef -- Polyhedral theory for the asymmetric traveling salesman problem / Egon Balas, Matteo Fischetti -- Exact methods for the asymmetric traveling salesman problem / Matteo Fischetti, Andrea Lodi, Paolo Toth -- Approximation algorithms for geometric TSP / Sanjeev Arora -- Exponential neighborhoods and domination analysis for the TSP / Gregory Gutin, Anders Yeo, Alexei Zverovitch -- Probabilistic analysis of the TSP / A.M. …”
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Empirical Evaluation Methods in Computer Vision. by Christensen, Henrik I.

Table of Contents: “…Foreword ; Chapter 1 Automated Performance Evaluation of Range Image Segmentation Algorithms ; 1.1. Introduction ; 1.2. Scoring the Segmented Regions ; 1.3. …”
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Optics and artificial vision by González-Acuäna, Rafael G., Chaparro-Romo, Héctor A., Melendez-Montoya, Israel

Table of Contents: “…Introduction -- 3.2. The Lucas-Kanade algorithm -- 3.3. Application of the Lucas-Kanade algorithm and its Python code -- 3.4. …”
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Calculating the Secrets of Life : Contributions of the Mathematical Sciences to Molecular Biology. by Lander, Eric S.

Table of Contents: “…Efficient AlgorithmsStatistical Significance; Excursion: Susceptibility to Colon Cancer in Mice and the Large Deviation Theory of Diffusion Processes; PHYSICAL MAPPING; Assembling Physical Maps by ""Fingerprinting"" Random Clones; Excursion: Designing a Strategy to Map the Human Genome; CONCLUSION; REFERENCES; Chapter 3 Seeing Conserved Signals: Using Algorithms to Detect Similarities between Biosequences ; FINDING GLOBAL SIMILARITIES; Visualizing Alignments: Edit Graphs; The Basic Dynamic Programming Algorithm; FINDING LOCAL SIMILARITIES; VARIATIONS ON SEQUENCE COMPARISON.…”
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Advances in intelligent IT : active media technology 2006

Table of Contents: “…Title page; Preface; Organization; Contents; Keynotes; Active Media Technologies (AMT) from the Standpoint of the Wisdom Web; Anytime Learning and Classification for Online Applications; Domain-Driven Data Mining: Methodologies and Applications; Regular Papers; Web Service Request Transformatter; A Head-Tracker Based on the Lucas-Kanade Optical Flow Algorithm; A Fair Peer Selection Algorithm for an Ecommerce-Oriented Distributed Recommender System; Intelligent Decision Making with the Semantic Web; Relevence Assessment of Topic Ontology; Information Extraction from a Whole Web Site.…”
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Concept Data Analysis. by Carpineto, Claudio

Table of Contents: “…Concept Data Analysis; Contents; Foreword; Preface; I Theory and Algorithms; II Applications; References; Index.…”
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Kalman Filtering : with Real-Time Applications by Chui, Charles K.

Table of Contents: “…Preliminaries -- Kalman Filter, an Elementary Approach -- Orthogonal Projection and Kalman Filter -- Correlated System and Measurement Noise Processes -- Colored Noise -- Limiting Kalman Filter -- Sequential and Square Root Algorithms -- Extended Kalman Filter and System Identification -- Decoupling of Filtering Equations -- Kalman Filtering for Interval Systems -- Wavelet Kalman Filtering -- Notes.…”
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Electromagnetic theory and computation : a topological approach by Gross, Paul W. (Paul Wolfgang), 1967-

Table of Contents: “…Computing eddy currents on thin conductors with scalar potentials -- 6. An algorithm to make cuts for magnetic scalar potentials -- 7. …”
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Quantile regression. Volume 2, Estimation and simulation by Furno, Marilena, 1957-, Vistocco, Domenico

Table of Contents: “…4.1.2 Assumptions of a linear programming problem4.1.3 The geometry of linear programming; 4.2 The simplex algorithm; 4.2.1 Basic solutions; 4.2.2 Optimality test; 4.2.3 Change of the basis: entering variable and leaving variable; 4.2.4 The canonical form of a linear programming problem; 4.2.5 The simplex algorithm; 4.2.6 The tableau version of the simplex algorithm; 4.3 The two-phase method; 4.4 Convergence and degeneration of the simplex algorithm; 4.5 The revised simplex algorithm; 4.6 A summary of key points; References; Chapter 5 Linear programming for quantile regression; Introduction.…”
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Generalized Network Design Problems : Modeling and Optimization. by Pop, Petrică C.

Table of Contents: “…2.4 Approximation results for the GMSTP2.4.1 Introduction; 2.4.2 Positive results: the design of the approximation algorithms; 2.4.3 A negative result for the GMSTP; 2.4.4 An approximation algorithm for the GMSTP with bounded cluster size; 2.5 Solving the GMSTP; 2.5.1 A branch-and-cut algorithm for solving the GMSTP; 2.5.2 A heuristic algorithm for solving the GMSTP; 2.5.3 Rooting procedure for solving the GMSTP; 2.5.4 Solving the GMSTP with Simulated Annealing; 2.6 Notes; 3 The Generalized Traveling Salesman Problem (GTSP); 3.1 Definition and complexity of the GTSP.…”
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Bioinformatics : High Performance Parallel Computer Architectures. by Schmidt, Bertil

Table of Contents: “…Front cover; Contents; Editor; Contributors; Chapter 1: Algorithms for Bioinformatics; Chapter 2: Introduction to GPGPUs andMassively Threaded Programming; Chapter 3: FPGA: Architecture and Programming; Chapter 4: Parallel Algorithms forAlignments on the Cell BE; Chapter 5: Orchestrating the PhylogeneticLikelihood Function on EmergingParallel Architectures; Chapter 6: Parallel Bioinformatics Algorithmsfor CUDA-Enabled GPUs; Chapter 7: CUDA Error Correction Method forHigh-Throughput Short-Read Sequencing Data; Chapter 8: FPGA Acceleration of SeededSimilarity Searching.…”
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Fundamentals of Matrix Analysis with Applications. by Saff, Edward Barry

Table of Contents: “…Intro -- Title Page -- Copyright Page -- Contents -- Preface -- PART I INTRODUCTION: THREE EXAMPLES -- Chapter 1 Systems of Linear Algebraic Equations -- 1.1 Linear Algebraic Equations -- 1.2 Matrix Representation of Linear Systems and the Gauss-Jordan Algorithm -- 1.3 The Complete Gauss Elimination Algorithm -- 1.4 Echelon Form and Rank -- 1.5 Computational Considerations -- 1.6 Summary -- Chapter 2 Matrix Algebra -- 2.1 Matrix Multiplication -- 2.2 Some Physical Applications of Matrix Operators -- 2.3 The Inverse and the Transpose -- 2.4 Determinants -- 2.5 Three Important Determinant Rules…”
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Perimetry Update 1998 by Wall, M.

Table of Contents: “…Preface; New perimetry algorithms; Sensitivity to glaucomatous visual field loss in full threshold, SITA Standard, and SITA Fast tests; Characteristics of the SITA program on the Humphrey Visual Field Analyzer; Comparing SITA and full threshold strategies; Comparison of SITA and dynamic strategies with the same examination grid; A comparison of light detection thresholds in glaucomatous visual fields in SITA-S and Fastpac; Comparative evaluation of four strategies (standard, dynamic, TOP, 2-level) using the automated perimeter Octopus 1-2-3.…”
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Solutions in lidar profiling of the atmosphere by Kovalev, Vladimir A.

Table of Contents: “…2.1 Separation of the Backscatter and Transmission Terms in the Lidar Equation: Methods and Intrinsic Assumptions2.1.1 Inversion Algorithm for the Signals of Raman Lidar; 2.1.2 Inversion Algorithm for the Signals of High Spectral Resolution Lidar (HSRL); 2.1.3 Inversion Algorithm for Signals of the Differential Absorption Lidar (DIAL); 2.2 Distortions in the Optical Depth and Extinction-Coefficient Profiles Derived from Raman Lidar Data; 2.2.1 Distortion of the Derived Extinction Coefficient Due to Uncertainty of the Angstrom Exponent.…”
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Natural language processing with TensorFlow : teach language to machines using Python's deep learning library by Ganegedara, Thushan

Table of Contents: “…Implementing skip-gram with TensorFlowThe Continuous Bag-of-Words algorithm; Implementing CBOW in TensorFlow; Summary; Chapter 4: Advanced Word2vec; The original skip-gram algorithm; Implementing the original skip-gram algorithm; Comparing the original skip-gram with the improved skip-gram; Comparing skip-gram with CBOW; Performance comparison; Which is the winner, skip-gram or CBOW?…”
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Entrepreneurship in technology for ASEAN

Table of Contents: “…2.1.1 Environmental Studies2.1.2 Economic Studies; 2.1.3 Social Causes; 2.1.4 Health Causes; 2.2 Spatial Data Analysis Approaches; 2.2.1 CURE Algorithm; 2.2.2 CHAMELEON Algorithm; 2.2.3 DBSCAN Algorithm; 2.2.4 k-Means Algorithm; 2.2.5 RANKPRO; 2.2.6 STING; 2.2.7 Wave Cluster; 2.3 Findings from Literature Review; 3 Methodology; 3.1 Data Description; 4 Theory and Calculation; 5 Results; 6 Discussion; 7 Conclusion; References; 4 Factors Influencing Implementation of Lean Manufacturing: Case on Manufacturing in Indonesia; Abstract; 1 Introduction; 2 Literature Review; 2.1 Lean Manufacturing.…”
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