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Chapter 10. Wireless Sensor Network Layout

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Monte Carlo Methods and Applications
This chapter is in the book Monte Carlo Methods and Applications

Chapters in this book

  1. Frontmatter i
  2. Preface v
  3. Contents vii
  4. Chapter 1. Improvement of Multi-population Genetic Algorithms Convergence Time 1
  5. Chapter 2 Parallelization and Optimization of 4D Binary Mixture Monte Carlo Simulations Using Open MPI and CUDA 11
  6. Chapter 3 Efficient Implementation of the Heston Model Using GPGPU 21
  7. Chapter 4. On a Game-Method for Modeling with Intuitionistic Fuzzy Estimations. Part 2 29
  8. Chapter 5. Generalized Nets, ACO Algorithms, and Genetic Algorithms 39
  9. Chapter 6. Bias Evaluation and Reduction for Sample-Path Optimization 47
  10. Chapter 7. Monte Carlo Simulation of Electron Transport in Quantum Cascade Lasers 59
  11. Chapter 8. Markov Chain Monte Carlo Particle Algorithms for Discrete-Time Nonlinear Filtering 69
  12. Chapter 9. Game-Method for Modeling and WRF-Fire Model Working Together 79
  13. Chapter 10. Wireless Sensor Network Layout 87
  14. Chapter 11. A Two-Dimensional Lorentzian Distribution for an Atomic Force Microscopy Simulator 97
  15. Chapter 12. Stratified Monte Carlo Integration 105
  16. Chapter 13. Monte Carlo Simulation of Asymmetric Flow Field Flow Fractionation 115
  17. Chapter 14. Convexization in Markov Chain Monte Carlo 125
  18. Chapter 15. Value Simulation of the Interacting Pair Number for Solution of the Monodisperse Coagulation Equation 135
  19. Chapter 16. Parallelization of Algorithms for Solving a Three-Dimensional Sudoku Puzzle 145
  20. Chapter 17. The Efficiency Study of Splitting and Branching in the Monte Carlo Method 155
  21. Chapter 18. On the Asymptotics of a Lower Bound for the Diaphony of Generalized van der Corput Sequences 163
  22. Chapter 19. Group Object Tracking with a Sequential Monte Carlo Method Based on a Parameterized Likelihood Function 171
  23. Chapter 20. The Template Design Problem: A Perspective with Metaheuristics 181
  24. Chapter 21. A Comparison of Simulated Annealing and Genetic Algorithm Approaches for Cultivation Model Identification 193
  25. Chapter 22. Monte Carlo Investigations of Electron Decoherence due to Phonons 203
  26. Chapter 23. Geometric Allocation Approach for the Transition Kernel of a Markov Chain 213
  27. Chapter 24. Exact Sampling for the Ising Model at All Temperatures 223
https://doi.org/10.1515/9783110293586.87

Chapters in this book

  1. Frontmatter i
  2. Preface v
  3. Contents vii
  4. Chapter 1. Improvement of Multi-population Genetic Algorithms Convergence Time 1
  5. Chapter 2 Parallelization and Optimization of 4D Binary Mixture Monte Carlo Simulations Using Open MPI and CUDA 11
  6. Chapter 3 Efficient Implementation of the Heston Model Using GPGPU 21
  7. Chapter 4. On a Game-Method for Modeling with Intuitionistic Fuzzy Estimations. Part 2 29
  8. Chapter 5. Generalized Nets, ACO Algorithms, and Genetic Algorithms 39
  9. Chapter 6. Bias Evaluation and Reduction for Sample-Path Optimization 47
  10. Chapter 7. Monte Carlo Simulation of Electron Transport in Quantum Cascade Lasers 59
  11. Chapter 8. Markov Chain Monte Carlo Particle Algorithms for Discrete-Time Nonlinear Filtering 69
  12. Chapter 9. Game-Method for Modeling and WRF-Fire Model Working Together 79
  13. Chapter 10. Wireless Sensor Network Layout 87
  14. Chapter 11. A Two-Dimensional Lorentzian Distribution for an Atomic Force Microscopy Simulator 97
  15. Chapter 12. Stratified Monte Carlo Integration 105
  16. Chapter 13. Monte Carlo Simulation of Asymmetric Flow Field Flow Fractionation 115
  17. Chapter 14. Convexization in Markov Chain Monte Carlo 125
  18. Chapter 15. Value Simulation of the Interacting Pair Number for Solution of the Monodisperse Coagulation Equation 135
  19. Chapter 16. Parallelization of Algorithms for Solving a Three-Dimensional Sudoku Puzzle 145
  20. Chapter 17. The Efficiency Study of Splitting and Branching in the Monte Carlo Method 155
  21. Chapter 18. On the Asymptotics of a Lower Bound for the Diaphony of Generalized van der Corput Sequences 163
  22. Chapter 19. Group Object Tracking with a Sequential Monte Carlo Method Based on a Parameterized Likelihood Function 171
  23. Chapter 20. The Template Design Problem: A Perspective with Metaheuristics 181
  24. Chapter 21. A Comparison of Simulated Annealing and Genetic Algorithm Approaches for Cultivation Model Identification 193
  25. Chapter 22. Monte Carlo Investigations of Electron Decoherence due to Phonons 203
  26. Chapter 23. Geometric Allocation Approach for the Transition Kernel of a Markov Chain 213
  27. Chapter 24. Exact Sampling for the Ising Model at All Temperatures 223
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