這是一個非常簡單的遺傳算法源代碼，是由Denis Cormier (North Carolina State University)開發的，Sita S.Raghavan (University of North Carolina at Charlotte)修正。代碼保證盡可能少，實際上也不必查錯。對一特定的應用修正此代碼，用戶只需改變常數的定義并且定義“評價函數”即可。注意代碼 的設計是求最大值，其中的目標函數只能取正值；且函數值和個體的適應值之間沒有區別。該系統使用比率選擇、精華模型、單點雜交和均勻變異。如果用 Gaussian變異替換均勻變異，可能得到更好的效果。代碼沒有任何圖形，甚至也沒有屏幕輸出，主要是保證在平臺之間的高可移植性。
Microsoft Visual Studio 2005 Unleashed is a deep dive into the Visual Studio 2005 tool. Specifically, it will provide you with solid guidance and education that will allow you to squeeze the ultimate productivity and use out of the Visual Studio 2005 development environment. This book folds in real-world development experience with detailed information about the IDE to make you more productive and ease transition from other development environments (including prior versions of Visual Studio). This book will also help you increase team collaboration and project visibility with Visual Studio Team Systems and it will give you straight, to-the-point answers to common developer questions about the IDE.
The MEASURE program uses analog and digital inputs to simulate a datalogger.
You may watch the value of analog input POT1 and the state of S2, S3 Buttons
on MCBSTM32 evaluation board.
Zero-order-hold
Intended for a senior-level course on the analysis and design of digital control systems, the text is also useful for graduate students and practicing engineers who are learning state-space design techniques.
Upper gain margin
Intended for a senior-level course on the analysis and design of digital control systems, the text is also useful for graduate students and practicing engineers who are learning state-space design techniques.
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order
A Matlab toolbox for exact linear time-invariant system identification is presented. The emphasis is on the variety of possible ways to implement the mappings from data to parameters of the data generating system. The considered system representations are input/state/output, difference equation, and left matrix fraction.
KEYWORDS: subspace identification, deterministic subspace identification, balanced model reduction, approximate system identification, MPUM.
Linux Bible: 介紹包括 Fedora, KNOPPIX, Debian, SUSE, Ubuntu , 及其他 7 種 Linux
* Ideal for users planning the transition to Linux who want to sample different distributions to see which one best meets their needs
* Includes sections on practical uses for Linux, multimedia apps, instant messaging, BT, and improved security techniques
Aspect-Oriented Software Developement
Coverage includes
Using AOSD to streamline complex systems development without sacrificing flexibility or scalability
How AOSD builds on the object-oriented paradigmand how it s different
State-of-the-art best practices for the AOSD development process
Languages and foundations: separating concerns, filter technologies, improving modularity, integrating new features, and more
Using key AOSD tools, including AspectJ, Hyper/J, JMangler, and Java Aspect Components
Engineering aspect-oriented systems: UML, concern modeling and elaboration, dependency management, and aspect composition
Developing more secure applications with AOSD techniques
Applying aspect-oriented programming to database systems
Building dynamic aspect-oriented infrastructure
