Title: BeagleBone Cookbook: Software and Hardware Problems and Solutions Author: Jason Kridner, Mark A. Yoder Length: 346 pages Edition: 1 Language: English Publisher: O'Reilly Media Publication Date: 2015-04-25 ISBN-10: 1491905395 ISBN-13: 9781491905395 BeagleBone is an inexpensive web server, Linux desktop, and electronics hub that includes all the tools you need to create your own projects—whether it’s robotics, gaming, drones, or software-defined radio. If you’re new to BeagleBone Black, or want to explore more of its capabilities, this cookbook provides scores of recipes for connecting and talking to the physical world with this credit-card-sized computer. All you need is minimal familiarity with computer programming and electronics. Each recipe includes clear and simple wiring diagrams and example code to get you started. If you don’t know what BeagleBone Black is, you might decide to get one after scanning these recipes. Learn how to use BeagleBone to interact with the physical world Connect force, light, and distance sensors Spin servo motors, stepper motors, and DC motors Flash single LEDs, strings of LEDs, and matrices of LEDs Manage real-time input/output (I/O) Work at the Linux I/O level with shell commands, Python, and C Compile and install Linux kernels Work at a high level with JavaScript and the BoneScript library Expand BeagleBone’s functionality by adding capes Explore the Internet of Things Table of Contents Chapter 1. Basics Chapter 2. Sensors Chapter 3. Displays and Other Outputs Chapter 4. Motors Chapter 5. Beyond the Basics Chapter 6. Internet of Things Chapter 7. The Kernel Chapter 8. Real-Time I/O Chapter 9. Capes

AFO Solving real-world problems.zip，这是一份不错的文件

PROBLEMS_Circuit_Basics_As_a_review_of_t

hctf2015-all-problems, hctf2015所有问题和来自作者的writeups hctf2015-all-problemshctf2015所有问题和来自作者的writeups Writeups https://github.com/hduisa/hctf2015-all-problems/tree/master

摘要 联邦学习(FL)是一种机器学习设置，在这种设置中，许多客户(例如移动设备或整个组织)在中央服务 器(例如服务提供商)的协调下协作地训练模型，同时保持训练数据分散。FL体现了集中数据收集和最 小化的原则，可以减轻由于传统的、集中的机器学习和数据科学方法所带来的许多系统隐私风险和成 本。在FL研究爆炸性增长的推动下，本文讨论了近年来的进展，并提出了大量的开放问题和挑战。 MENU1.引言跨设备联邦学习设置联邦学习中模型的生命周期典型的联邦训练过程联邦学习研究组织2. 放宽核心FL假设: 应用到新兴的设置和场景完全的去中心化/端对端分布式学习算法挑战实际挑战跨竖井联合学习3. 提高效率和效果

Algorithmic Strategies for Solving Complex Problems in Cryptography 英文epub 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书

优化问题 使用Gurobi解决优化问题的ILP模型

经典的最优控制教材 国外比较经典的 希望大家多多评

拉普拉斯方程数学代码MATLAB上的科学问题 包含用于矩阵的纯数学问题，Laplace变换，傅立叶级数，求解微分和差分方程的方法不同等的matlab代码。

Kalman滤波原文：《A New Approach to Linear Filtering and Prediction Problems》