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新GRE阅读理解36套

于 2019-06-01 发布
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说明:  GRE复习资料,祝各位亲们复习愉快!!!(GRE revision material)

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  • shuixia
    水下地形的相关理论及技术和部分代码,适合初学者学习(Underwater topography of the relevant theory and technology and part of the code, suitable for beginners to learn)
    2010-06-28 22:35:10下载
    积分:1
  • effectiveSoftwareTestingSpecificWaysToImproveYourT
    这是一本研究高效率测试的书,英文原版书籍。(This is a study of high-efficiency test book, the English original book.)
    2009-03-28 13:06:54下载
    积分:1
  • deep-learning-turior
    一本英文版的深度学习教程,内容全面,值得得初学者学习。(A deep learning in English tutorial, comprehensive, is worth to beginners learning. )
    2015-03-06 11:54:39下载
    积分:1
  • fuzzy-logic
    模糊理论和神经网络的基础与应用,该书很有深度,值得仔细阅读。(Fuzzy theory and neural network-based and application, the book is very profound, worthy of careful reading.)
    2009-12-05 15:10:27下载
    积分:1
  • Ansys材料库(详细力学参数)
    说明:  Ansys材料库(详细力学参数),包含ANSYS库中的所有材料参数,如弹性模量、密度等(Ansys material library (detailed mechanical parameters), including all material parameters in ANSYS library, such as modulus of elasticity, density, etc.)
    2020-06-22 20:20:01下载
    积分:1
  • Guide to 3D Vision Computation
    This classroom-tested and easy-to-understand textbook/reference describes the state of the art in 3D reconstruction from multiple images, taking into consideration all aspects of programming and implementation. Unlike other computer vision textbooks, this guide takes a unique approach in which the initial focus is on practical application and the procedures necessary to actually build a computer vision system.
    2019-04-02 15:37:25下载
    积分:1
  • C-LANGUAGE
    C语言教程讲义(谭浩强).pdf初学者必须要看的讲义(C language tutorial notes (Tan Haojiang). PDF beginners must see notes )
    2014-09-23 15:12:59下载
    积分:1
  • ab
    说明:  参考文献方面的资料,帮助其他人更好的怎样使用参考文献(Reference information, help others better how to use the reference)
    2015-11-28 13:30:28下载
    积分:1
  • keil入门
    keil简单入门书籍,适合于新手入门使用......(Keil simple introductory books)
    2018-02-12 13:59:33下载
    积分:1
  • book1
    Solving NP-hard discrete optimization problems to optimality is often an immense job requiring very ecient algorithms, and the B&B paradigm is one of the main tools in construction of these. A B&B algorithm searches the complete space of solutions for a given problem for the best solution. However, explicit enumeration is normally impossible due to the exponentially increasing number of potential solutions. The use of bounds for the function to be optimized combined with the value of the current best solution enables the algorithm to search parts of the solution space only implicitly.
    2010-12-14 03:52:40下载
    积分:1
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