资源列表
Classical-algorithms-set
- 一些经典算法的总汇，趣味算法，BP神经网络编程，代码之美-Some of the classic algorithm eleven-headed aspect, fun algorithm, the BP neural network programming, the beauty of the code, and so on
e
- 题1：编写一个对具有n个元素的数组x[]求最大值的程序，要求将求最大值的函数设计成函数模板。 题2：编写一个函数模板add，能够实现int,double, float, char数据类型的加法运算（包括它们之间的混合加法运算）。 题3：定义一个类模板Sample实现int,double, float数据类型的比较，并能给出最大值，最小值；-Problem 1: Write one pair of n-element array x [] seek maximum
sfr2
- SFR finiding edges to measeure sharpening Strength-SFR finiding edges to measeure sharpening Strength.....................................................................................................................................................
arith_code
- SFR3 a new generation to find edges to measure shrpenss coefficent-SFR3 a new generation to find edges to measure shrpenss coefficent.....................................................................................................................
vcPPlgktjf
- 龙格库塔解一阶常微分方程的程序，龙格库塔解一阶常微分方程的程序-this is about this is about this is about
awae2
- 超长电磁波遥测技术在渤海深部油气勘探中的应用.Ultra long electromagnetic wave remote sensing in Bohai deep oil and gas exploration.-Ultra long electromagnetic wave remote sensing in Bohai deep oil and gas exploration.
asdas_
- 负极值指标的Pickands估计_英文_.Negative indicators in Pickands estimation _ English _.-Negative indicators in Pickands estimation _ English _.
Sz_sz_Mir
- Sz_sz_Mirakjan算子的加权逼近.The Sz_sz_Mirakjan operator weighted approximation.-The Sz_sz_Mirakjan operator weighted approximation.
fff
- 用FDTD方法分析涂敷目标的散射.Using FDTD method to analyze the coated target scattering.-Using FDTD method to analyze the coated target scattering.
dfaw
- 湍流动能参数化在中尺度模式中的应用研究.Turbulent kinetic energy parameter in mesoscale model application research.-Turbulent kinetic energy parameter in mesoscale model application research.
Bi_2Sr_2CaCu
- Bi_2Sr_2CaCu_2O_8_正常态霍尔系数的理论分析.Bi_2Sr_2CaCu_2O_8 _ normal Holzer coefficient theory analysis.-Bi_2Sr_2CaCu_2O_8 _ normal Holzer coefficient theory analysis.
introDataMining1.pdf.tar
- Introduction to data mining and applications