Compression using lempel-ziv
-for a dictionary size of 2k
-provide dictionary
Lempel ziv algorithm is a dictionary based algorithm that addresses byte sequences from former contents instead of the original data. This algorithm consists of a rule for parsing strings of symbols from a finite alphabet into substrings, whose lengths do not exceed a prescribed integer and a coding scheme which maps these substrings sequentially into uniquely decipherable code words of fixed length. The strings are selected so that they have nearly equal probability of occurrence. Frequently-occurring symbols are grouped into longer strings while occasional symbols appear in short strings.
This code proposes genetic algorithm (GA) to optimize the point-to-point trajectory planning for a 3-link robot arm. The objective function for the proposed GA is to minimizing traveling time and space, while not exceeding a maximum
pre-defined torque, without collision with any obstacle in the robot workspace.
編譯課上做的小程序，用四種分析方法分別實(shí)現(xiàn)（LL1,算符優(yōu)先，遞歸下降，簡單詞法分析）
完成對(duì)正則文法所描述的Pascal語言子集單詞符號(hào)的詞法分析程序。
<標(biāo)識(shí)符>→字母︱ <標(biāo)識(shí)符>字母︱ <標(biāo)識(shí)符>數(shù)字
<無符號(hào)整數(shù)>→數(shù)字︱ <無符號(hào)整數(shù)>數(shù)字
<單字符分界符> →+ ︱－ ︱* ︱ ︱(︱)
<雙字符分界符>→<大于>=︱<小于>=︱<小于>>︱<冒號(hào)>=︱<斜豎>*
<小于>→<
<等于>→=
<大于>→>
<冒號(hào)> →:
<斜豎> →/
識(shí)別語言的保留字 ：begin end if then else for do while and or not
As I write this foreword, I am collaborating with four leading user interface
(UI) component vendors on a presentation for the 2004 JavaOneSM conference.
In our presentation, the vendors will show how they leverage JavaServerTM
Faces technology in their products. while developing the presentation, I am
learning some things about the work we’ve been doing on JavaServer Faces for
the past three years. The vendors have their own set of concerns unique to
adapting their product for JavaServer Faces, but they all voice one opinion
loud and clear: they are very relieved to finally have a standard for web-based
user interfaces.
A user-space device driver can do many of the things that kernel drivers can t, such as perform a long-running computation, block while waiting for an event, or read files from the file system. Unlike kernel drivers, a user-space device driver can use other device drivers--that is, access the network, talk to a serial port, get interactive input from the user, pop up GUI windows, or read from disks. User-space drivers implemented using FUSD can be much easier to debug it is impossible for them to crash the machine, are easily traceable using tools such as gdb, and can be killed and restarted without rebooting even if they become corrupted. FUSD drivers don t have to be in C--Perl, Python, or any other language that knows how to read from and write to a file descriptor can work with FUSD. User-space drivers can be swapped out, whereas kernel drivers lock physical memory.
Java Extreme Programming Cookbook offers more than just a collection of cut-and-paste code. Each recipe also includes explanations of how and why the approach works, so you can adapt the techniques to similar situations. One of the biggest challenges facing developers today is sorting through the wide variety of tools available form various source and figuring out how to them effectively. The recipes in Java Extreme Programming Cookbook showcase how to use the most important features of these XP tools. Many of these tools are geared towards unit testing, while others are invaluable for continuous integration with these practical examples, you ll be able to choose the most effective tools to accomplish your goals, then implement them in a cohesive development environment quickly.
MATSNL is a package of MATLAB M-files for computing wireless sensor node lifetime/power budget and solving optimal node architecture choice problems. It is intended as an analysis and simulation tool for researchers and educators that are easy to use and modify. MATSNL is designed to give the rough power/ lifetime predictions based on node and application specifications while giving useful insight on platform design for the large node lifetime by providing side-by-side comparison across various platforms. The MATSNL code and manual can be found at the bottom of this page. A related list of publications describing the models used in MATSNL is posted on the ENALAB part of the 2 project at http://www.eng.yale.edu/enalab/aspire.htm
Mastering Dojo will teach you how to build an Internet application
that will impress your end users and delight you while you’re writing
it. The book also explains Dojo’s JavaScript underpinnings, both for
newcomers and for refugees from other languages.
MATSNL is a package of MATLAB M-files for computing wireless sensor node
lifetime/power budget and solving optimal node architecture choice problems. It is intended
as an analysis and simulation tool for researchers and educators that are easy to use and
modify. MATSNL is designed to give the rough power/ lifetime predictions based on node
and application specifications while giving useful insight on platform design for the large
node lifetime by providing side-by-side comparison across various platforms.
