1 Introduction 2 Measuring vectorization 3 Vectorization Prerequisite 4 Vectorizing techniques in C++ Autovectorization Inline assembly Intrinsics Compiler extensions Libraries 5 What to expect ?

《电力系统自动化》课程教学资源（理论课程资料）数据采集处理_相关标准_远动设备及系统 第2部分工作条件 第1篇 电源和电磁兼容性

《电力系统自动化》课程教学资源（理论课程资料）数据采集处理_相关标准_远动设备及系统 第2部分 工作条件 第2篇 环境条件

上海交通大学：《检测技术基础 Fundamentals of Test & Measurement Technology》课程教学资源_检测技术B_2误差理论与数据处理

东莞理工学院：《实验设计与数据处理》课程教学资源（教学大纲）涂军令-2020应化卓越1班,2020应化卓越2班

2 1. 测量与有效数字 2 2. 测量误差和不确定度估算的基础知识

1 Introduction 2 AsySVRG 3 SCOPE 4 Conclusion

1 Introduction Problem Definition Existing Methods 2 Isotropic Hashing Model Learning Experiment 3 Multiple-Bit Quantization Double-Bit Quantization Manhattan Quantization 4 Conclusion 5 Reference

1 Introduction Problem Definition Existing Methods 2 Isotropic Hashing 3 Supervised Hashing with Latent Factor Model 4 Supervised Multimodal Hashing with SCM 5 Multiple-Bit Quantization Double-Bit Quantization Manhattan Quantization 6 Conclusion 7 Reference

1 Introduction 2 Unsupervised Hashing 3 Supervised Hashing 4 Ranking-based Hashing 5 Multimodal Hashing 6 Deep Hashing 7 Quantization 8 Conclusion 9 Reference