Free e-Books
NOW Foundations and Trends® Books
- F. Baccelli and B. Blaszczyszyn, “Stochastic Geometry and Wireless Networks, Volume 2: Applications,” FnT in Networking, vol. 4, no. 1-2
- F. Baccelli and B. Blaszczyszyn, “Stochastic Geometry and Wireless Networks, Volume 1: Theory,” FnT in Networking, vol. 3, no. 3-4
- M. Haenggi and R. K. Ganti, “Interference in Large Wireless Networks,” FnT in Networking, vol. 3, no. 2
- D. Shah, “Gossip Algorithms,” FnT in Networking, vol. 3, no. 1
- M. Chiang, P. Hande, T. Lan, and C. W. Tan, “Power Control in Wireless Cellular Networks,” FnT in Networking, vol. 2, no. 4
- S. Shakkottai and R. Srikant, “Network Optimization and Control,” FnT in Networking, vol. 2, no. 3
- C. Fragouli and E. Soljanin, “Network Coding Applications,” FnT in Networking, vol. 2, no. 2
- C. Fragouli and E. Soljanin, “Network Coding Fundamentals,” FnT in Networking, vol. 2, no. 1
- G. Kramer, I. Maric, and R. Yates, “Cooperative Communications,” FnT in Networking, vol. 1, no. 3-4
- F. Xue and P. R. Kumar, “Scaling Laws for Ad Hoc Wireless Networks: An Information Theoretic Approach,” FnT in Networking, vol. 1, no. 2
- L. Georgiadis, M. J. Neely, and L. Tassiulas, “Resource Allocation and Cross-Layer Control in Wireless Networks,” FnT in Networking, vol. 1, no. 1
- A. M. Tulino and S. Verdu, “Random Matrix Theory and Wireless Communications,” FnT in Communications and Information Theory, vol. 1, no. 1
- M. J. Wainwright and M. I. Jordan, “Graphical Models, Exponential Families, and Variational Inference,” FnT in Machine Learning, vol. 1, no. 1-2
Information and Communication Theory
- D. J. C. MacKay, “Information Theory, Inference, and Learning Algorithms”
- M. Mezard and A. Montanari, “Information, Physics, and Computation”
- C. E. Shannon, “A Mathematical Theory of Communication”
- D. Tse and P. Viswanath, “Fundamentals of Wireless Communication”
Networking Theory
- M. Bramson, “Stability of Queueing Networks”
- B. Hajek, “Analysis of Computer Networks” (Notes for ECE567)
- V. B. Iversen, “Teletraffic Engineering Handbook”
- F. P. Kelly, “Reversibility and Stochastic Networks”
- S. P. Meyn, “Control Techniques for Complex Networks”
Game Theory
- L. Buttyan and J.-P. Hubaux, “Security and Cooperation in Wireless Networks”
- “Algorithmic Game Theory,” Edited by N. Nisan, T. Roughgarden, E. Tardos, and V. Vazirani (Errata)
- Y. Shoham and K. Leyton-Brown, “Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations”
Probability, Random Processes, and Queueing Theory
- I. Adan and J. Resing, “Queueing Theory”
- D. Aldous and J. A. Fill, “Reversible Markov Chains and Random Walks on Graphs”
- L. Devroye, “Non-Uniform Random Variate Generation”
- R. M. Gray, “Probability, Random Processes, and Ergodic Properties”
- R. M. Gray and L. D. Davisson, “Introduction to Statistical Signal Processing”
- C. Grinstead and J. L. Snell, “Introduction to Probability”
- B. Hajek, “An Exploration of Random Processes for Engineers” (Notes for ECE534)
- D. A. Levin, Y. Peres, and E. L. Wilmer, “Markov Chains and Mixing Times”
- R. Lyons and Y. Peres, “Probability on Trees and Networks”
- S. P. Meyn and R. L. Tweedie, “Markov Chains and Stochastic Stability”
- D. Pollard, “Convergence of Stochastic Processes”
- W. Whitt, “Stochastic-Process Limits”
Optimization
- S. Boyd and L. Vandenberghe, “Convex Optimization”
- A. Schrijver, “A Course in Combinatorial Optimization”
- P. Varaiya, “Lecture Notes on Optimization”
Control Theory
- D. P. Bertsekas and S. E. Shreve, “Stochastic Optimal Control: The Discrete-Time Case”
- L. C. Evans, “An Introduction to Mathematical Optimal Control Theory”
Graph Theory
- J. A. Bondy and U. S. R. Murty, “Graph Theory with Applications”
- R. Diestel, “Graph Theory”
Machine Learning
- T. Hastie, R. Tibshirani, and J. Friedman, “The Elements of Statistical Learning: Data Mining, Inference, and Prediction”
- D. Michie, D. J. Spiegelhalter, and C. C. Taylor (eds), “Machine Learning, Neural and Statistical Classification”
- N. J. Nilsson, “Introduction to Machine Learning”
- A. Rajaraman and J. D. Ullman, “Mining of Massive Datasets”
Algorithms & Complexity
- S. Arora and B. Barak, “Computational Complexity: A Modern Approach”
- S. Dasgupta, C. H. Papadimitriou, and U.V. Vazirani, “Algorithms”
- J. Erickson, “Algorithms Course Materials”
- O. Goldreich, “Computational Complexity: A Conceptual Perspective”
- O. Goldreich, “P, NP, and NP-Completeness: The Basics of Complexity Theory”
- R. Kannan and S. Vempala, “Spectral Algorithms”
- H. Wilf, “Algorithms and Complexity”
- D. P. Williamson and D. B. Shmoys, “The Design of Approximation Algorithms”
Misc.
- D. P. Bertsekas and J. N. Tsitsiklis, “Parallel and Distributed Computation: Numerical Methods”
- D. J. C. MacKay, “Sustainable Energy - without the hot air”
- A. J. Menezes, P. C. van Oorschot, and S. A. Vanstone, “Handbook of Applied Cryptography”
- Y. Saad, “Iterative Methods for Sparse Linear Systems” (1st edition)
- R. Szeliski, “Computer Vision: Algorithms and Applications”
没有评论:
发表评论