Theoretical Neuroscience - Computational and Mathematical Modeling of Neural Systems _ Peter Dayan, L. F. Abbott
计算神经必备的神经科学专著，作者是两个大牛。
2021-10-25 00:54:33
6.18MB
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Nonlinear Systems (2rd Edition) -Hassan K.Khalil(1996)，少有的参考资料哟！值得收藏！
2021-10-24 21:38:20
16.32MB
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分布式系统领域康奈尔学派教授的经典著作， 对分布式系统的基本问题， CAP的描述，云计算的架构等方面，描述得非常精彩
2021-10-23 08:57:01
11.25MB
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practical2-Basic Modifications & Analysis-shuman-dagon
CESM_CLM5.0模型基本参数设置
2021-10-22 09:00:55
11.37MB
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practical4-wieder
CESM_CLM5.0模型单点模拟singlepoint及spinup
2021-10-22 09:00:55
11.87MB
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practical1-Running CLM & Basic analysis-lombardozzi
CESM_CLM5.0模型起始入门
2021-10-22 09:00:54
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Table of Contents
Chapter 1 Software Engineering of Embedded and Real-Time Systems
Chapter 2 Embedded Systems Hardware/Software Co-Development
Chapter 3 Software Modeling for Embedded Systems
Chapter 4 Software Design Architecture and Patterns for Embedded Systems
Chapter 5 Real-Time Building Blocks: Events and Triggers
Chapter 6 Hardware’s Interface to Embedded Software
Chapter 7 Embedded Software Programming and Implementation Guidelines
Chapter 8 Embedded Operating Systems
Chapter 9 Software Reuse By Design in Embedded Systems
Chapter 10 Software Performance Engineering for Embedded Systems
Chapter 11 Optimizing Embedded Software for Performance
Chapter 12 Optimizing Embedded Software for Memory
Chapter 13 Optimizing Embedded Software for Power
Chapter 14 Human Factors and User Interface Design for Embedded Systems
Chapter 15 Embedded Software Quality, Integration and Testing Techniques
Chapter 16 Software Development Tools for Embedded Systems
Chapter 17 Multicore Software Development for Embedded Systems
Chapter 18 Safety-Critical Software Development
Chapter 19 Intellectual Property
Chapter 20 Managing Embedded Software Development
Chapter 21 Agile Development for Embedded Systems
Chapter 22 Embedded Software for Automotive Applications
Chapter 23 Programming for I/O and Storage
Chapter 24 Embedded Software for Networking Applications
Chapter 25 Linux for Embedded Systems
2021-10-20 14:12:47
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This book (known as CS:APP) is for computer scientists, computer engineers, and others who want to be able to write better programs by learning what is going on "under the hood'" of.a computer systefn.
Our aim'is to explain the enduring concepts underlying all computer systenls, and to show you the cohcrete ways that these ideas affect the correctn'ess;perfSr- mance,'lmd utility of your application programs.'Mlmy systems bobks are1\vritten from a builder's perspective, describing how to implement the hardware or th'e sys- tems software, inC!uding the operating system, compiler, and network·iiltefface. Thisbook is wrihen from"a progr'dmme""' pefspective,'describing how application programmers can use their knowledge of a system to write better programs.'Of course, learning what a system i§ supposed to do provide&.a good first step in learn- ing how to build one,'so this book also serves as a· valuable introduction to those who go on to iinplemeht systems hardware and soffware. Most systems books also tend to focus on just one aspect of the system, for example, the•hardware archi- tecture: the operating system, the compiler, or the "network. Tiiis book" spans all of·these aspects,' with !lie unifying theme of aprogranfmer's perspective.
If you·study ancl-learh>.the-concepts-in-this-!:mok~you-.wiU1:le"on·yoni-wzj>'tcr--- becoming the 'rare power progranimer'who knows how things work'and how io
fix them when tbey'bteak. You will·be able to write programs that·make•better
use of the'caP,abiij(ies provided by theloperating systeni'and systellis software,
that operate 'correctly across'1i wicte' range of operating conditibhs and run'.-t:llne parameters,' that run faster, and that avoid the flaws that make·ptogramS vu!Iler-
able t'6 cybefatt'ack-. You will be prepared to delve deeper into 'advanced topics
sucn as conipilers;'c6mputer architecture, 'operating sy~tems, embedded systems, networking, and cybersecurity.
2021-10-20 09:02:32
17.69MB
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