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[Successful incentive] kaoyanbijijingdian DL : 0: 新东方经典的考研笔记整理，阅读指导，白皮书，等-New Oriental classic organize study section of the notebook, reading guidance, white papers, etc.
Date : 2025-12-14 Size : 215kb User : jiangliping
[Successful incentive] thtuj DL : 0: 帮助初中学生更好的学习有序对数这一章节的内容-To help middle school students learn better in an orderly manner on the number of the contents of this section.
Date : 2025-12-14 Size : 660kb User : liunian
[Successful incentive] wodekaoyan DL : 0: 考研是很多大学生要考虑的问题，我上传一下我对自己考研中得失的看法。-Study section to consider is that many college students, I upload my own view of study section in the gains and losses.
Date : 2025-12-14 Size : 4kb User : 孔艳芳
[Successful incentive] 9 DL : 0: but the most accurate values can be read in the graph of how the capacitances vary. A graph of this type is also often found in the data sheets [7]. The value of CGC has the largest change and decreases with increasing voltage. Another and probably better way to calculate the gate circuit properties is to use the gate charge specifications available in data sheets [2]. This will be discussed more in section 2-but the most accurate values can be read in the graph of how the capacitances vary. A graph of this type is also often found in the data sheets [7]. The value of CGC has the largest change and decreases with increasing voltage. Another and probably better way to calculate the gate circuit properties is to use the gate charge specifications available in data sheets [2]. This will be discussed more in section 2.2.2
Date : 2025-12-14 Size : 89kb User : mimo
[Successful incentive] struggle DL : 0: 电子书书名《我的奋斗》完整本已分章节希特勒传记-E-book title, " Mein Kampf" Hitler' s complete biography of the already sub-section
Date : 2025-12-14 Size : 161kb User : hine
[Successful incentive] data-structure DL : 0: 微软等公司数据结构+算法面试100题[第1-80题]很精辟很到位。-Microsoft, 100 data structures+ algorithms interview questions [Section 1-80 Question] very insightful is in place.
Date : 2025-12-14 Size : 269kb User : satan
[Successful incentive] Gauss DL : 0: In linear algebra, Gaussian elimination (also known as row reduction) is an algorithm for solving systems of linear equations. It is usually understood as a sequence of operations performed on the associated matrix of coefficients. This method can also be used to find the rank of a matrix, to calculate the determinant of a matrix, and to calculate the inverse of an invertible square matrix. The method is named after Carl Friedrich Gauss, although it was known to Chinese mathematicians as early as 179 AD (see History section).
Date : 2025-12-14 Size : 99kb User : irina