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A radical new departure from conventional Bluetooth technology, Bluetooth Low Energy (BLE) will enable a whole new generation of wireless applications in industries ranging from healthcare to transportation. Running on a single coin-sized battery, BLE can run for years, connecting and extending everything from Personal Area Network devices to next-generation sensors. In Bluetooth Low Energy, one of the standard's developers has written the first comprehensive, accessible introduction to BLE for every system developer, designer, and engineer. Robin Heydon, a member of the Bluetooth "Hall of Fame" brings together information currently scattered through multiple standards documents, offering the context and leading-edge implementation insights needed to build high-performance working systems with BLE. Heydon begins by reviewing BLE's design goals, explaining how they drove key architectural decisions, and introducing BLE's innovative usage models. Next, he thoroughly covers the Controller side of the standard, offering detailed information on physical and link layers, direct test mode, and the host controller interface. Finally, he turns to BLE hosts, explaining L2CAP, attributes, BLE security, and the Generic Access Profile. This book will be an indispensable companion to the official BLE standards documents for every technical professional and decision-maker who is considering BLE, planning BLE products, or transforming plans into working systems.

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演算法的handbookPreface ix I Basic techniques 1 1 Introduction 3 1.1 Programming languages . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2 Input and output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.3 Working with numbers . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.4 Shortening code . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.5 Mathematics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.6 Contests and resources . . . . . . . . . . . . . . . . . . . . . . . . . . 15 2 Time complexity 17 2.1 Calculation rules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 2.2 Complexity classes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 2.3 Estimating efficiency . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 2.4 Maximum subarray sum . . . . . . . . . . . . . . . . . . . . . . . . . 21 3 Sorting 25 3.1 Sorting theory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 3.2 Sorting in C++ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 3.3 Binary search . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 4 Data structures 35 4.1 Dynamic arrays . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 4.2 Set structures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 4.3 Map structures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 4.4 Iterators and ranges . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 4.5 Other structures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 4.6 Comparison to sorting . . . . . . . . . . . . . . . . . . . . . . . . . . . 44 5 Complete search 47 5.1 Generating subsets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 5.2 Generating permutations . . . . . . . . . . . . . . . . . . . . . . . . . 49 5.3 Backtracking . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 5.4 Pruning the search . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 5.5 Meet in the middle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 6 Greedy algorithms 57 6.1 Coin problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 6.2 Scheduling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 6.3 Tasks and deadlines . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60 6.4 Minimizing sums . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61 6.5 Data compression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 7 Dynamic programming 65 7.1 Coin problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 7.2 Longest increasing subsequence . . . . . . . . . . . . . . . . . . . . . 70 7.3 Paths in a grid . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71 7.4 Knapsack problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 7.5 Edit distance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 7.6 Counting tilings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75 8 Amortized analysis 77 8.1 Two pointers method . . . . . . . . . . . . . . . . . . . . . . . . . . . 77 8.2 Nearest smaller elements . . . . . . . . . . . . . . . . . . . . . . . . . 79 8.3 Sliding window minimum . . . . . . . . . . . . . . . . . . . . . . . . . 81 9 Range queries 83 9.1 Static array queries . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84 9.2 Binary indexed tree . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86 9.3 Segment tree . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 9.4 Additional techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . 93 10 Bit manipulation 95 10.1 Bit representation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95 10.2 Bit operations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96 10.3 Representing sets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 10.4 Bit optimizations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100 10.5 Dynamic programming . . . . . . . . . . . . . . . . . . . . . . . . . . 102 II Graph algorithms 107 11 Basics of graphs 109 11.1 Graph terminology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109 11.2 Graph representation . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 12 Graph traversal 117 12.1 Depth-first search . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117 12.2 Breadth-first search . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119 12.3 Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121

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