This MATLAB M-file implements the finite-difference time-domain solution of Maxwell s curl equations over a one-dimensional space lattice comprised of uniform grid cells.
標簽： finite-difference time-domain implements equations
上傳時間： 2014-01-11
上傳用戶：270189020
RTX51 TINY Version 2 has been completly restructured to gain flexiblity, accelarate performance, and reduce code/data space requirements. Also several new features are added to this popular Real-Time Kernal.
標簽： restructured performance accelarate flexiblity
上傳時間： 2014-01-19
上傳用戶：ikemada
The Linux GPIB Package is a support package for GPIB (IEEE 488) hardware. The package contains kernel driver modules, and a C user-space library with Guile, Perl, PHP, Python and TCL bindings. The API of the C library is intended to be compatible with National Instrument s GPIB library. The Linux GPIB Package is licensed under the GNU General Public License . Requirements: Linux kernel version 2.4.x (use Linux-GPIB version 3.1.x). Earlier kernel versions are not supported.
上傳時間： 2016-12-17
上傳用戶：cccole0605
ABC_FDTD_Die(T) Implements simulation of a Gaussian Pulse over T time steps. ABC are for free space. If boundaries are in the Dielectric medium then the ABC fail. Dielectric medium begin and end can be specified with the code
標簽： ABC_FDTD_Die Implements simulation Gaussian
上傳時間： 2013-12-22
上傳用戶：caiiicc
ABC_FDTD_Die(T) Implements simulation of a Gaussian Pulse over T time steps. ABC are for free space. If boundaries are in the Dielectric medium then the ABC fail. Dielectric medium begin and end can be specified with the code
標簽： ABC_FDTD_Die Implements simulation Gaussian
上傳時間： 2014-07-27
上傳用戶：LIKE
粒子效果演示(附代碼) 利用C++所提供的一些標準容器很容易實現粒子效果. 簡單的說就是,將粒子數據寫在一個類里面,有一個粒子源,不停地生成粒子,然后放入一個stl::list中(push_back()方法), 然后在一個循環中遍例粒子鏈表,并渲染粒子,粒子的參數并不斷更新,如果粒子的ALPHA值小于0,即不可見了,即代表粒子已經死亡, 即從list中刪去(erase()方法), 銷毀死去的粒子很重要, 如果搞忘了這一步, 你的內存很快就會被吃掉干凈了. 第一個版本是用交錯平面畫的粒子. 第二個版本是用Point Spirit(點精靈)畫的粒子, 可以看看效果上面的區別 SPACE - 暫停粒子源發射粒子 LINK中忘記去掉cg.lib cgGL.lib 了, 此程序不需要CG, 如果要編譯請去掉.
上傳時間： 2013-12-15
上傳用戶：jing911003
A "code-what"? Unless you have spent some time working in the area of reverse engineering, chances are you have not heard of the term "codecave" before. If you have heard of it, you might not have read a clear definition of it or quite understand what it is or why it is useful. I have even asked seasoned assembly programmers about the term before and most of them had not heard of it. If it is new to you, do not worry, you are not the only one. It is a term that is scarcely used and is only useful in a reverse engineering context. Furthermore, is it "codecave" or "code cave"? I am not quite sure, but I will try my best to refer to it consistently as a "codecave". A space may sneak in there from time to time
標簽： engineering code-what chances reverse
上傳時間： 2014-01-17
上傳用戶：hn891122
The basic principle using the branchand- bound strategy to solve the traveling salesperson optimization problem (TSP) consists of two parts. There is a way to split the solution space. There is a way to predict a lower bound for a class of solutions. There is also a way to find an upper bound of an optimal solution. If the lower bound of a solution exceeds this upper bound, this solution cannot be optimal. Thus, we should terminate the branching associated with this solution.
標簽： salesperson principle branchand the
上傳時間： 2017-02-19
上傳用戶：comua
documentation for optimal filtering toolbox for mathematical software package Matlab. The methods in the toolbox include Kalman filter, extended Kalman filter and unscented Kalman filter for discrete time state space models. Also included in the toolbox are the Rauch-Tung-Striebel and Forward-Backward smoother counter-parts for each filter, which can be used to smooth the previous state estimates, after obtaining new measurements. The usage and function of each method are illustrated with five demonstrations problems. 1
標簽： documentation mathematical for filtering
上傳時間： 2014-01-20
上傳用戶：changeboy
documentation for optimal filtering toolbox for mathematical software package Matlab. The methods in the toolbox include Kalman filter, extended Kalman filter and unscented Kalman filter for discrete time state space models. Also included in the toolbox are the Rauch-Tung-Striebel and Forward-Backward smoother counter-parts for each filter, which can be used to smooth the previous state estimates, after obtaining new measurements. The usage and function of each method are illustrated with five demonstrations problems. 1
標簽： documentation mathematical for filtering
上傳時間： 2013-12-10
上傳用戶：zxc23456789
