These files contain all of the code listings in
Java 2: The Complete Reference
The source code is organized into files by chapter.
Within each chapter file, the listings are stored
in the same order as they appear in the book.
simply edit the appropriate file to extract the
listing in which you are interested.
The code for Scrabblet is in its own ZIP file,
called CHAP32.ZIP.
Although some FX1-based devices may use the FX1鈥檚 CPU
to process USB data directly (Port I/O Mode), most applica-
tions use the FX1 simply as a conduit between the USB and
external data-processing logic (e.g., an ASIC or DSP, or the
IDE controller on a hard disk drive).
UDDI for weblgoci In the main function, there is a list of functions calls that are commented. Each of those function calls tests a functionality of the UDDI api. To run a test, simply uncomment one of the function calls, and then compile this file and run it.
This contribution provides functions for finding an optimum parameter set using the evolutionary algorithm of Differential Evolution. simply speaking: If you have some complicated function of which you are unable to compute a derivative, and you want to find the parameter set minimizing the output of the function, using this package is one possible way to go.
SensorSimII is the framework of a simulator that I have been working on to study how future sensor networks should operate. the simulator is written in a modular fashion so that it can be adapted to serve a number of needs. However, please remember that it is still a work in progress. This web page is here just to give a glimpse of the approach we ve taken with this simulator. Likewise this web page is simply preliminary information to attempt to answer some of the questions that researchers might have about this project.
C++ is considered the most widely used and powerful object-oriented programming language in industry today. This book is for who are interested in learning and exploring C++ programming where programs are developed to interface with real world devices. Learning C++ for interact with various hardware devices and how to interface a computer to physical devices. Anyone who is simply interested in programming and interfacing a computer to perform real activities.
Hibernate: A Developer s Notebook shows you how to use Hibernate to automate persistence: you write natural Java objects and some simple configuration files, and Hibernate automates all the interaction between your objects and the database. You don t even need to know the database is there, and you can change from one database to another simply by changing a few statements in a configuration file. If you ve needed to add a database backend to your application, don t put it off. It s much more fun than it used to be, and Hibernate: A Developer s Notebook shows you why.
The primary goal of MySQL and Java Developer’s Guide is to provide a comprehensive
approach to writing code from a Java application to a MySQL database
using the industry standard: JDBC. As you will see later in this
Introduction, the chapter titles indicate what area of database connectivity and
manipulation they cover. The chapters are ordered to reflect the JDBC specification,
but we aren’t here to simply describe the specification.
The running time of quicksort can be improved in practice by taking advantage of the fast
running time of insertion sort when its input is “nearly” sorted. When quicksort is called on a
subarray with fewer than k elements, let it simply return without sorting the subarray. After the
top-level call to quicksort returns, run insertion sort on the entire array to finish the sorting process.
matlab有限元網(wǎng)格劃分程序
DistMesh is a simple MATLAB code for generation of unstructured triangular and tetrahedral meshes. It was developed by Per-Olof Persson (now at UC Berkeley) and Gilbert Strang in the Department of Mathematics at MIT. A detailed description of the program is provided in our SIAM Review paper, see documentation below.
One reason that the code is short and simple is that the geometries are specified by Signed Distance Functions. These give the shortest distance from any point in space to the boundary of the domain. The sign is negative inside the region and positive outside. A simple example is the unit circle in 2-D, which has the distance function d=r-1, where r is the distance from the origin. For more complicated geometries the distance function can be computed by interpolation between values on a grid, a common representation for level set methods.
For the actual mesh generation, DistMesh uses the Delaunay triangulation routine in MATLAB and tries to optimize the node locations by a force-based smoothing procedure. The topology is regularly updated by Delaunay. The boundary points are only allowed to move tangentially to the boundary by projections using the distance function. This iterative procedure typically results in very well-shaped meshes.
Our aim with this code is simplicity, so that everyone can understand the code and modify it according to their needs. The code is not entirely robust (that is, it might not terminate and return a well-shaped mesh), and it is relatively slow. However, our current research shows that these issues can be resolved in an optimized C++ code, and we believe our simple MATLAB code is important for demonstration of the underlying principles.
To use the code, simply download it from below and run it from MATLAB. For a quick demonstration, type "meshdemo2d" or "meshdemond". For more details see the documentation.
