BBYR Achieve
返回信息流
这是一条镜像帖。来源:北邮人论坛 / matlab / #5848同步于 2009/6/18
Matlab机器人发帖

MathWorks Chinese webinar on June 25th, 2009

wks
2009/6/18镜像同步0 回复
偶然得到的消息。有兴趣的人可以参考。 https://mathworksevents.webex.com/mw0306l/mywebex/default.do?nomenu=true&siteurl=mathworksevents&service=6&main_url=https%3A%2F%2Fmathworksevents.webex.com%2Fec0605l%2Feventcenter%2Fevent%2FeventAction.do%3FtheAction%3Ddetail%26confViewID%3D278371335%26siteurl%3Dmathworksevents%26%26%26 Date and time: Wednesday, June 24, 2009 9:00 pm Eastern Daylight Time (New York, GMT-04:00) Change time zone Wednesday, June 24, 2009 9:00 pm Eastern Daylight Time (New York, GMT-04:00) Thursday, June 25, 2009 9:00 am Singapore Time (Singapore, GMT+08:00) Thursday, June 25, 2009 9:00 am Taipei Time (Taipei, GMT+08:00) Panelist(s) Info: David Chen (Principal Application Engineer, The MathWorks China) Duration: 1 hour 主 题:使用MATLAB加速C/C++算法开发 演讲嘉宾:陈炜 背 景: 您将学习如何在C/C++应用程序中利用MATLAB的数据可视化功能和预构建函数功能来检验您的计算,并利用MATLAB平台提供的多种功能加速算法开发。 当您使用C/C++来构建科学计算应用程序时,理解您的数据并确信您的算法是否正常工作,这对所有的科研和开发人员来说都是一个挑战。在本次网上研讨会中,我们将展示您如何通过发送您的数据到MATLAB进行可视化,如何在MATLAB下调用现有C/C++原代码,如何利用嵌入式MATLAB进行代码自动生成,以及使用PolySpace进行代码验证,从而加速您开发与调试的流程。我们还会介绍MATLAB最新的面向对象的编程技术从而实现大规模算法开发。我们将演示关于交互式数据分析的实例,使用MATLAB和C/C++进行混合编程,代码自动生成实现并进行代码验证。 详细的主题包括:  在C/C++中通过MATLAB engine调用MATLAB功能  在C/C++中通过由MATLAB Compiler编译出的动态连接库调用MATLAB  从MATLAB函数构建完整的、独立的可执行程序  在MATLAB中通过mex 函数调用现有C/C++代码  利用嵌入式MATLAB自动将m文件生成C代码  使用PolySpace进行代码验证 目标听众: C/C++以及Fortran程序员 重点产品: Embedded MATLAB, PolySpace,MATLAB® 受益: 全面了解MATLAB平台提供的与C/C++编程有关的技术,从而加速C/C++算法开发。 在演讲和演示之后将会有一个问答环节。欢迎大家踊跃参与。 Dear Sir/Madam: Please join us for a free MathWorks Chinese webinar on June 25th, 2009: ~~~~~~~~~~~~~~~~~~~~~~~~~~Accelerate your C/C++ Development with MATLAB ~~~~~~~~~~~~~~~~~~~~~~~~~~ Thursday, June 25, 2009 (China Standard Time) 9:00a.m.-10:00a.m. Language: Mandarin Chinese The MathWorks China invites you to join us for a free Chinese-language webinar at 9:00 a.m. on Thursday, June 25, 2009. When you are using C/C++ to build technical computing applications, understanding your data and knowing whether your algorithm is working correctly can be a challenge. In this webinar, we will show you how to speed up your development and debugging process by sending your data to MATLAB for visualization, how to reuse legacy C/C++ code using MATLAB, how to use embedded MATLAB to generate C code directly in MATLAB platform, and how to verify your code using PolySpace. Finally we will give an introduction to object oriented programming in MATLAB, which can help you develop very complex algorithms. We will also give examples of interactive data analysis and show how to compare your calculations against the trusted numerics in MATLAB. Specific topics include: * Exchanging data between your running C/C++ application and MATLAB using the MATLAB Engine * Building shared libraries from MATLAB functions for deployment with your application * Building complete and standalone executables from MATLAB functions * MATLAB call C/C++ code through mex functions * Generate C code in MATLAB using embedded MATLAB * Code verification using PolySpace A Q&A session will follow the presentation and demos. ?REGISTER now https://mathworksevents.webex.com/mathworksevents/onstage/g.php?t=a&d=664935354 ?INVITE a colleague http://www.mathworks.cn/webforms/invite_colleague.html?language=cn&host=www.mathworks.com&s_v1=1-9VKSH5_0.244201555&document=mathworksevents.webex.com/mathworksevents/onstage/g.php?t=a%26d=664935354%26s_v1=1-9VKSH5_fwdmail I hope you'll join us online on June 25th. To learn more about The MathWorks China products and services, please visit our Chinese-language website: http://www.mathworks.cn Sincerely, David Chen. PhD Principal Application Engineer The MathWorks, Inc. ?009 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See http://www.mathworks.cn/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders. OPT-OUT: Click on the link to remove this e-mail address from The MathWorks commercial electronic mailing list. http://www.mathworks.cn/accesslogin/optOutEmail.do?emailAddress=wangql@bit.edu.cn&s_v1=1-9VKSH5_0.244201555 The MathWorks China Unit 301, 3rd Floor, Tower C South, Raycom InfoTech Park No. 2 Kexueyuan South Road, Haidian District 100190 Beijing P.R. China Tel: +86-10-5982-7000
订阅后,新回复会通过你的通知中心匿名送达。
0 条回复
暂无回复 · 你可以订阅本帖等待新回复。