Elements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering,must be based on a solid mathematical foundation. The book shows that algorithms implemented in a real programming language, such as C++, can operate in the most general mathematical setting. For example, the fast exponentiation algorithm is defined to work with any associative operation. Using abstract algorithms leads to efficient, reliable, secure, and economical software. This is not an easy book. Nor is it a compilation of tips and tricks for incremental improvements in your programming skills. The book’s value is more fundamental and, ultimately, more critical for insight into programming. To benefit fully, you will need to work through it from beginning to end, reading the code, proving the lemmas, and doing the exercises. When finished, you will see how the application of the deductive method to your programs assures that your system’s software components will work together and behave as they must. The book presents a number of algorithms and requirements for types on which they are defined. The code for these descriptions—also available on the Web—is written in a small subset of C++ meant to be accessible to any experienced programmer. This subset is defined in a special language appendix coauthored by Sean Parent and Bjarne Stroustrup. Whether you are a software developer, or any other professional for whom programming is an important activity, or a committed student, you will come to understand what the book’s experienced authors have been teaching and demonstrating for years—that mathematics is good for programming, and that theory is good for practice.
2019-12-21 20:15:33 3.21MB Alexander Stepanov 算法 C++
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stochastic network optimization with application to communication Michael J. N 著 2010版
2019-12-21 20:14:25 2.17MB Lyapunov优化 Michael J. N
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经典的网络教材《计算机网络:自顶向下方法》英文第7版,truePDF 版本,全彩非转换,非扫描
2019-12-21 20:14:18 16.9MB Computer Net
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Stochastic Processes and Filtering Theory.pdf
2019-12-21 20:13:31 23.26MB Stochastic Processes and Filtering
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协同训练多视角谱聚类的代码,matlab源码,供大家参考。
2019-12-21 20:13:19 60KB Abhishek Kumar
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Design Patterns Elements of Reusable Object-Oriented Software 英文版 (chm)
2019-12-21 20:13:10 2.43MB Design Patterns Elements Reusable
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非常好用的高光谱图像处理工具,可以直接使用,也可以在此基础上进行二次开发。好东西啊。
2019-12-21 20:12:07 44KB matlab hyper spectral
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这是一本控制领域的外文书,关于控制过程和控制信号的书~~
2019-12-21 20:10:22 7.09MB control and signal processing
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A wireless communication network can be viewed as a collection of nodes, located in some domain, which can in turn be transmitters or receivers (depending on the network considered, nodes may be mobile users, base stations in a cellular network, access points of a WiFi mesh etc.). At a given time, several nodes transmit simultaneously, each toward its own receiver. Each transmitter–receiver pair requires its own wireless link. The signal received from the link transmitter may be jammed by the signals received from the other transmitters. Even in the simplest model where the signal power radiated from a point decays in an isotropic way with Euclidean distance, the geometry of the locations of the nodes plays a key role since it determines the signal to interference and noise ratio (SINR) at each receiver and hence the possibility of establishing simultaneously this collection of links at a given bit rate. The interference seen by a receiver is the sum of the signal powers received from all transmitters, except its own transmitter.
2019-12-21 20:10:03 2.03MB 通信
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A wireless communication network can be viewed as a collection of nodes, located in some domain, which can in turn be transmitters or receivers (depending on the network considered, nodes may be mobile users, base stations in a cellular network, access points of a WiFi mesh etc.). At a given time, several nodes transmit simultaneously, each toward its own receiver. Each transmitter–receiver pair requires its own wireless link. The signal received from the link transmitter may be jammed by the signals received from the other transmitters. Even in the simplest model where the signal power radiated from a point decays in an isotropic way with Euclidean distance, the geometry of the locations of the nodes plays a key role since it determines the signal to interference and noise ratio (SINR) at each receiver and hence the possibility of establishing simultaneously this collection of links at a given bit rate. The interference seen by a receiver is the sum of the signal powers received from all transmitters, except its own transmitter.
2019-12-21 20:10:03 1.87MB 通信
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