C++_Primer_3rd_Edition_perfect_CHI

CPLEX的学习资料，最近用这个软件的人越来越多了，尤其是PPT文件，很适合初学者快速入门 (CPLEX learning materials, most recently with this software, more and more people, and especially the PPT file, it is suitable for beginners Quick Start)

vc++深入详解（第四版）的数据源代码，具有参考价值(vc++ in-depth Xiangjie (fourth edition) data source code, with a reference value)

车牌识别系统中的字符分割与识别 硕士论文 很有帮助(License Plate Recognition System Character Segmentation and Recognition of Master' s thesis helpful)

提供了初学C++的源代码的例题，是初学者很好的学习资料(Provides a beginner C++ Example source code is good for beginners learning materials)

说明：  不错的 c语言资料 模式匹配的 学习下吧 很肯定会有收获的 (Good information on pattern matching c language learning, are you quite sure there will be harvested)

说明：  深入浅出MFC第二版的文章中例子程序。这本书非常经典，在这里提供一下书中的源程序，这本书论坛里面有的。(MFC easy version of the article, the second example of the procedure)

说明：  针对充流管道单向流固耦合数值模拟过程复杂、数据在耦合传递中存在偏差的问题，采用 Ｃ＋＋语言编制了充流管道单向流固耦合数值模拟程序，实现了从模型建立、流体计算到结构分析 过程的自动化，确保了从流体计算到结构计算过程中数据传递的准确性．利用参考文献中的试验数 据验证了此程序计算结果的正确性，以实际发电厂的一段疏水管道为例进行单向流固耦合数值模 拟，描述了程序自动建立管道模型、模拟管内流体压力分布以及将流体压力数据导入管道结构中进 行管道应力计算的过程．结果表明：该充流管道单向流固耦合数值模拟程序具有结果准确、操作简 便的特点，可应用于多种充流管道的设计改造和风险预测中(Aiming at the complex numerical simulation process of one-way fluid-structure coupling in flow-filled pipeline and the deviation of data in coupling transmission, the method is adopted. C++ language has compiled the numerical simulation program of one-way fluid-structure coupling for filling pipeline, which has realized the process from model establishment, fluid calculation to structure analysis. The automation of the process ensures the accuracy of data transfer from fluid calculation to structural calculation. The correctness of the calculation results is verified by the program, and the one-way fluid-structure coupling numerical model is carried out for a section of)

列置换加密，MFC编译成功(Out replacement encryption, MFC compile success)

C++经典教程《Accelerated C++》，中文翻译版，复印版(failed to translate)

很大很全的图像处理算法，包括二值化、图像细化、直线检测、直线交点识别等(Large and very full image processing algorithms, including two values, image thinning, straight line detection, line intersection recognition, etc.)