MATFOR FFT Visual Fortran program.
MATFOR Extensions, as implied in the name, are data or components external to MATFOR modules that can be used to add versatility to MATFOR programs. Currently there are two types of extensions available with MATFOR, they are MATLAB Interface and Tecplot FileIO. MATLAB Interface, a new feature in MATFOR 4.1, provides MATFOR users access to MATLAB functions so they can obtain functionality that has not been built into MATFOR. The ability of using MATLAB functions makes MATFOR an ideal tool for those who create prototypes using MATLAB, then do implementation in C++ and other programming languages. Through the use of MATFOR, users may perform Quick results comparisons between MATLAB and other languages.
Coaxial feed structures are widely used in ultra-wide band antennas . This paper modeled the characteristic of the monopole antenna feeded by coaxial line by FDTD in the time-domiain,which showes that . Firstly, it introduced the theory of the arithmetic and the particularly realization in the calculation then it described the use in the time-domain finally it analysed several characteristics of the monopole antenna. The arithmetic used in the microstrip antenna is also a Quick and economical way to design the antenna.
A order algoritm comparison by the C time().
Comparison beetwen : insort,selection sort,mergesort,and Quick sort.
Read the source, and the usage after compiling .
Enjoy it!
This book introduces the powerful programming tools provided in your Microsoft Visual C++ compiler package. These include the compiler, debugger, and various Windows 95, 98, and NT development tools. This book compliments your Microsoft reference manuals and online help to provide a Quick start with each of the components in the compiler package.
QuickSteps books are recipe books for computer users. They answer the
question 揌ow do I...??by providing a Quick set of steps to accomplish the
most common tasks with a particular program. The sets of steps are the
central focus of the book. Sidebar QuickSteps provide information on how to
do Quickly many small functions or tasks that are in support of the primary
functions. Sidebar QuickFacts supply information that you need to know about
a subject. Notes, Tips, and Cautions augment the steps, but they are presented
in a separate column to not interrupt the fl ow. Brief introductions are present,
but there is minimal narrative otherwise. Many illustrations and fi gures, a
number with callouts, are also included where they support the steps.
matlab有限元網格劃分程序
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.
Introduction
jSMPP is a java implementation (SMPP API) of the SMPP protocol (currently supports SMPP v3.4). It provides interfaces to communicate with a Message Center or an ESME (External Short Message Entity) and is able to handle traffic of 3000-5000 messages per second.
jSMPP is not a high-level library. People looking for a Quick way to get started with SMPP may be better of using an abstraction layer such as the Apache Camel SMPP component: http://camel.apache.org/smpp.html
Travis-CI status:
History
The project started on Google Code: http://code.google.com/p/jsmpp/
It was maintained by uudashr on Github until 2013.
It is now a community project maintained at http://jsmpp.org
Release procedure
mvn deploy -DperformRelease=true -Durl=https://oss.sonatype.org/service/local/staging/deploy/maven2/ -DrepositoryId=sonatype-nexus-staging -Dgpg.passphrase=<yourpassphrase>
log in here: https://oss.sonatype.org
click the 'Staging Repositories' link
select the repository and click close
select the repository and click release
License
Copyright (C) 2007-2013, Nuruddin Ashr uudashr@gmail.com Copyright (C) 2012-2013, Denis Kostousov denis.kostousov@gmail.com Copyright (C) 2014, Daniel Pocock http://danielpocock.com Copyright (C) 2016, Pim Moerenhout pim.moerenhout@gmail.com
This project is licensed under the Apache Software License 2.0.
