Sauer《数值分析》第二版,课后习题答案全本,pdf格式
2019-12-21 19:40:55 27.97MB 数值分析 Sauer 答案 裴玉茹
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学习 SystemC 的好资料
2019-12-21 19:38:12 24.11MB SystemC Ground up 2nd
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比龙书好多了,3-7章深入本质而又高屋建瓴。对于被编译原理里面名目繁多的各式技术和术语搞得头昏脑胀的,建议读3-7章,会有登高望小之感。这个星球上对 Parser 写得最详细的书
2019-12-21 19:37:29 2.81MB 编译
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《Programming Principles and Practice Using C++》2nd_Edition Bjarne Stroustrup 英文清晰版PDF
2019-12-21 19:30:49 72.74MB Bjarne Stroustrup C++
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Introduction to reliable and secure distributed programming, 2nd edition.
2019-12-21 19:27:04 3.94MB distributed block chain security
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鲁棒统计,现代统计方法, Robust Statistics第二版,学习现代统计方法
2019-12-21 19:26:26 13.78MB 统计
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Programming in Haskell 第二版 pdf
2019-12-21 19:26:20 6.43MB programming in haskell
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经典书籍,收藏
2019-12-21 19:24:16 14.24MB 信号与系统
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The study of networks, including computer networks, social networks, and biological networks, has attracted enormous interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on an unprecedented scale, and the development of new theoretical tools has allowed us to extract knowledge from networks of many different kinds. The study of networks is broadly interdisciplinary and central developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas. Topics covered include the measurement of networks; methods for analyzing network data, including methods developed in physics, statistics, and sociology; fundamentals of graph theory; computer algorithms; mathematical models of networks, including random graph models and generative models; and theories of dynamical processes taking place on networks. 包括计算机网络,社交网络和生物网络在内的网络研究在过去几年引起了极大的兴趣。互联网的兴起和廉价计算机的广泛应用使得以前所未有的规模收集和分析网络数据成为可能,新理论工具的开发使我们能够从多种不同类型的网络中提取知识。网络研究具有广泛的跨学科性,在许多领域都有发展,包括数学,物理,计算机和信息科学,生物学和社会科学。本书汇集了这些领域中最重要的突破,并以连贯的方式呈现,凸显了不同领域工作之间的紧密联系。 涵盖的主题包括网络测量;分析网络数据的方法,包括在物理学,统计学和社会学中开发的方法;图论的基本原理;计算机算法;网络的数学模型,包括随机图模型和生成模型;和网络上发生的动态过程理论。
2019-12-21 19:24:12 24.7MB Networ
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有关矢量控制电机[FOC]的入门基础材料,FOC是现在电机控制的趋势:因为半导体芯片IC,电力电子元件等等价格越来越便宜,而全球以能耗越来越关注,能源问题越来越占更大的比重,智能化产品客户需求现实等, 所以更高级[Neural Networks, Fuzzy Systems and Genetic Algorithms,FOC等等]的电机控制技术是必须的必然的唯一的! 推荐对电机拖动感兴趣的可以参考下此书
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