Search Results - "algorithms"

Improved Indirect Power Control (IDPC) of Wind Energy Conversion Systems (WECS) by Amrane, Fayssal, Chaiba, Azeddine

Table of Contents: “…WIND-SYSTEM PERFORMANCES RECAPITULATION UNDER SIX (06) PROPOSED IDPC ALGORITHMS -- CONCLUSION -- NOTES -- REFERENCES -- General Conclusion -- 5.1. …”
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Road traffic : safety, modeling & impacts

Table of Contents: “…Semi-dynamic Updated Forecast and Dynamic Updated Forecast -- SUMMARY -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 8 OPTIMIZATION ALGORITHMS FOR SIGNALIZED ROAD NETWORK DESIGN PROBLEM -- ABSTRACT -- 1. …”
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Smart grid communication infrastructures : big data, cloud computing, and security by Ye, Feng, 1989-, Qian, Yi, 1962-, Hu, Rose Qingyang

Table of Contents: “…3.4.3 Evaluation of the Global Uplink Transmission Rates 58 -- 3.4.4 Evaluation of the Global Power Consumption 59 -- 3.4.5 Evaluation of the Minimum Cost Problem 59 -- 3.5 Case Study 63 -- 3.6 Summary 65 -- 4 Reliable Energy-Efficient Uplink Transmission Power Control Scheme in NAN 67 -- 4.1 Background and RelatedWork 67 -- 4.1.1 Motivations and Background 67 -- 4.1.2 RelatedWork 69 -- 4.2 SystemModel 70 -- 4.3 Preliminaries 71 -- 4.3.1 Mathematical Formulation 72 -- 4.3.2 Energy Efficiency Utility Function 73 -- 4.4 Hierarchical Uplink Transmission Power Control Scheme 75 -- 4.4.1 DGD Level Game 76 -- 4.4.2 BGD Level Game 77 -- 4.5 Analysis of the Proposed Schemes 78 -- 4.5.1 Estimation of B and D 78 -- 4.5.2 Analysis of the Proposed Stackelberg Game 80 -- 4.5.3 Algorithms to Approach NE and SE 84 -- 4.6 Numerical Results 85 -- 4.6.1 Simulation Settings 85 -- 4.6.2 Estimate of D and B 86 -- 4.6.3 Data Rate Reliability Evaluation 87 -- 4.6.4 Evaluation of the Proposed Algorithms to Achieve NE and SE 88 -- 4.7 Summary 90 -- 5 Design and Analysis of a Wireless Monitoring Network for Transmission Lines in the Smart Grid 91 -- 5.1 Background and RelatedWork 91 -- 5.1.1 Background and Motivation 91 -- 5.1.2 RelatedWork 93 -- 5.2 Network Model 94 -- 5.3 Problem Formulation 96 -- 5.4 Proposed Power Allocation Schemes 99 -- 5.4.1 Minimizing Total Power Usage 100 -- 5.4.2 Maximizing Power Efficiency 101 -- 5.4.3 Uniform Delay 104 -- 5.4.4 Uniform Transmission Rate 104 -- 5.5 Distributed Power Allocation Schemes 105 -- 5.6 Numerical Results and A Case Study 107 -- 5.6.1 Simulation Settings 107 -- 5.6.2 Comparison of the Centralized Schemes 108 -- 5.6.3 Case Study 111 -- 5.7 Summary 113 -- 6 A Real-Time Information-Based Demand-Side Management System 115 -- 6.1 Background and RelatedWork 115 -- 6.1.1 Background 115 -- 6.1.2 RelatedWork 117 -- 6.2 System Model 118 -- 6.2.1 The Demand-Side Power Management System 118 -- 6.2.2 MathematicalModeling 120 -- 6.2.3 Energy Cost and Unit Price 122.…”
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Bifurcation and chaos in nonsmooth mechanical systems by Awrejcewicz, J. (Jan)

Table of Contents: “…Control procedure. 17.7. Algorithm of control. 17.8 Numerical results for a system with 3 DOF. 17.9. …”
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Asymptotic models of fields in dilute and densely packed composites by Movchan, A. B. (Alexander B.)

Table of Contents: “…Motivation; 1.1.2 Asymptotic algorithm involving a boundary layer; 1.1.2.1 Formulation of the problem; 1.1.2.2 The leading-order approximation; 1.1.2.3 Asymptotic formula for the energy; 1.1.3 The dipole matrix; 1.1.3.1 Definition of the dipole matrix; 1.1.3.2 Symmetry of the dipole matrix; 1.1.3.3 The energy asymptotics for a body with a small void; 1.1.4 Dipole matrix for a 2D void in an infinite plane.…”
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Chaos : from simple models to complex systems by Cencini, Massimo

Table of Contents: “…Information theory, coding and compression. 8.3. Algorithmic complexity. 8.4. Entropy and complexity in chaotic systems. 8.5. …”
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Statistical And Evolutionary Analysis Of Biological Networks.

Table of Contents: “…Statistical significance of network motifs -- 3.2.6. Randomisation algorithm for generation of null model networks -- 3.2.7. …”
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Memory Allocation Problems in Embedded Systems : Optimization Methods. by Soto, Maria

Table of Contents: “…A tabu search procedure; 3.4.2. A memetic algorithm; 3.5. Computational results and discussion; 3.5.1. …”
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Qualitative Spatial and Temporal Reasoning. by Ligozat, Gérard

Table of Contents: “…Ladkin and Reinefeld's algorithm; 2.4.2. Empirical study of the consistency problem; 2.5. …”
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Computational methods for physics by Franklin, Joel, 1975-

Table of Contents: “…6 Integration6.1 Physical motivation; 6.2 One-dimensional quadrature; 6.3 Interpolation; 6.4 Higher-dimensional quadrature; 6.5 Monte Carlo integration; Problems; Lab problems; 7 Fourier transform; 7.1 Fourier transform; 7.2 Power spectrum; 7.3 Fourier series; 7.4 Discrete Fourier transform; 7.5 Recursion; 7.6 FFT algorithm; 7.7 Applications; Further reading; Problems; Lab problems; 8 Harmonic oscillators; 8.1 Physical motivation; 8.2 Three balls and two springs; 8.3 Solution for a particular case; 8.4 General solution; 8.5 Balls and springs in D=3; Further reading; Problems; Lab problems.…”
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The Finite Element Method : a Practical Course. by Liu, G. R.

Table of Contents: “…3.4.3.3 On other means of construct shape functions3.4.4 Properties of the shape functions; 3.4.5 Formulation of finite element equations in local coordinate system; 3.4.6 Coordinate transformation; 3.4.7 Assembly of global FE equation; 3.4.8 Imposition of displacement constraints; 3.4.9 Solving the global FE equation; 3.5 Static analysis; 3.6 Analysis of free vibration (eigenvalue analysis); 3.7 Transient response; 3.7.1 Central difference algorithm; 3.7.2 Newmark's method (Newmark, 1959); 3.8 Remarks; 3.8.1 Summary of shape function properties.…”
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Data mining applications with R by Zhao, Yanchang, 1977-

Table of Contents: “…What Are the Topics That Can Be Algorithmically Discovered in This Sample?; 3.10. Conclusion; References; Chapter 4: Text Mining and Network Analysis of Digital Libraries in R; 4.1. …”
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Extended finite element method : theory and applications by Khoei, Amir R.

Table of Contents: “…2.6 Governing Equation of a Body with Discontinuity 2.6.1 The Divergence Theorem for Discontinuous Problems; 2.6.2 The Weak form of Governing Equation; 2.7 The X-FEM Discretization of Governing Equation; 2.7.1 Numerical Implementation of X-FEM Formulation; 2.7.2 Numerical Integration Algorithm; 2.8 Application of X-FEM in Weak and Strong Discontinuities; 2.8.1 Modeling an Elastic Bar with a Strong Discontinuity; 2.8.2 Modeling an Elastic Bar with a Weak Discontinuity; 2.8.3 Modeling an Elastic Plate with a Crack Interface at its Center.…”
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Designs and prototypes of mobile robots

Table of Contents: “…Exoskeletons and bipeds / Qiang Huang and Zhangguo Yu -- 2.1 Exoskeletons -- 2.1.1 History and overview -- 2.1.2 Mechanism design principles -- 2.1.3 Sensing and control algorithm -- 2.1.4 Actuators and portable power supply -- 2.2 Bipeds -- 2.2.1 History and overview -- 2.2.2 Mechanism design -- 2.2.3 Motion planning -- 2.2.4 Stability control -- 2.2.5 Control system -- 2.2.6 Biped walking -- 2.3 Conclusions -- 2.4 References.…”
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Relationship inference with Familias and R : statistical methods in forensic genetics by Egeland, Thore, Kling, Daniel, Mostad, Petter, 1964-

Table of Contents: “…4.1.3 Generalization and the Lander-Green Algorithm4.1.4 Extensions; X-chromosomal markers; Mutations; Subpopulation correction; Dropouts and silent alleles; 4.2 Linkage Disequilibrium; 4.2.1 Introduction to Calculations; 4.2.2 *Generalization; Cluster approach; Exact calculations; 4.3 Haplotype Frequency Estimation; 4.4 Programs for Linked Markers; 4.4.1 FamLink; 4.4.2 FamLinkX; 4.5 Exercises; 4.5.1 Autosomal Markers and FamLink; 4.5.2 X-Chromosomal Markers and FamLinkX; Chapter 5: Relationship inference with R; 5.1 Using R; 5.1.1 R Packages for Relationship Inference…”
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Handbook of high-frequency trading and modeling in finance

Table of Contents: “…4.1 Introduction4.2 Background; 4.2.1 Portfolios And Optimization; 4.2.2 Algorithmic Complexity; 4.2.3 Performance; 4.2.4 Ising Model; 4.2.5 Adiabatic Quantum Computing; 4.3 The models; 4.3.1 Financial Model; 4.3.2 Graph-Theoretic Combinatorial Optimization Models; 4.3.3 Ising And Qubo Models; 4.3.4 Mixed Models; 4.4 Methods; 4.4.1 Model Implementation; 4.4.2 Input Data; 4.4.3 Mean-Variance Calculations; 4.4.4 Implementing The Risk Measure; 4.4.5 Implementation Mapping; 4.5 Results; 4.5.1 The Simple Correlation Model; 4.5.2 The Restricted Minimum-Risk Model.…”
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Self-assembling systems : theory and simulation

Table of Contents: “…4.3 Numerical Methods of SCFT4.3.1 Reciprocal-Space Method; 4.3.2 Real-Space Method; 4.3.3 Pseudo-Spectral Method; 4.3.4 Fourth-Order Pseudo-Spectral Method; 4.4 Application of SCFT to Multiblock Copolymers; 4.5 Conclusions and Discussions; Acknowledgments; References; Chapter 5 Simulation Models of Soft Janus and Patchy Particles; 5.1 Introduction; 5.2 Soft Janus Particle Models; 5.2.1 Soft One-Patch Janus Particle Model; 5.2.2 Soft ABA-Type Triblock Janus Particle Model; 5.2.3 Soft BAB-Type Triblock Janus Particle Model; 5.2.4 Integration Algorithm; 5.3 Soft Patchy Particle Models.…”
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Spoken Natural Language Dialog Systems : a Practical Approach. by Smith, Ronnie W.

Table of Contents: “…; 3.7.2 Integrated Theory; 4 Computational Model; 4.1 Dialog Processing Algorithm; 4.1.1 Motivation and Basic Steps.…”
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Contemporary Oral Oncology : Diagnosis and Management. by Kuriakose, Moni Abraham

Table of Contents: “…3.3 Diagnosis and€Evaluation3.4 Staging of€Cancer; 3.5 Treatment Decision Algorithm; 3.5.1 Curative Intent Treatment; 3.5.1.1 Early-Stage Cancers with€No Cervical Nodal Metastasis (T1, N0, M0); 3.5.1.2 Oral Cancer with€Clinically Positive Neck Disease (T2-T4a, N1/N>2, M0); 3.5.2 Treatment of€Primary Tumor; 3.5.2.1 Management of€N-Positive Neck; 3.5.2.2 Management of€Node-Positive Neck; 3.5.2.3 Management of€the€Contralateral Neck; 3.5.2.4 Principles of€Radiotherapy; 3.5.3 Adjuvant Treatment; 3.5.4 Palliative Intent Treatment; 3.5.4.1 Assessment of€Resectability [46].…”
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Introduction to Bayesian estimation and copula models of dependence by Shemyakin, Arkady

Table of Contents: “…4 Markov Chain Monte Carlo Methods4.1 Markov Chain Simulations for Sun City and Ten Coins; 4.2 Metropolis-Hastings Algorithm; 4.3 Random Walk MHA; 4.4 Gibbs Sampling; 4.5 Diagnostics of MCMC; 4.5.1 Monitoring Bias and Variance of MCMC; 4.5.2 Burn-in and Skip Intervals; 4.5.3 Diagnostics of MCMC; 4.6 Suppressing Bias and Variance; 4.6.1 Perfect Sampling; 4.6.2 Adaptive MHA; 4.6.3 ABC and Other Methods; 4.7 Time-to-Default Analysis of Mortgage Portfolios; 4.7.1 Mortgage Defaults; 4.7.2 Customer Retention and Infinite Mixture Models; 4.7.3 Latent Classes and Finite Mixture Models.…”
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