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Search - minimum energy - List
[
Algorithm
]
work
DL : 0
这主要是线性预测算法的一些程序,包括最小方差算法!前向预测!后向预测!-This is mainly a linear prediction algorithm for a number of procedures, including minimum variance algorithm! Prior to the prediction! To the prediction!
Date
: 2025-12-23
Size
: 1kb
User
:
asdf
[
Algorithm
]
finitvolummethod
DL : 0
有限体积法及其在边值问题中的应用本文介绍了极小位能原理、虚功原理和Ritz-Galerkin方法.主要讨论了椭圆型方程定解问题的有限体积法和双曲型方程定解问题的有限体积法,简要说明了椭圆型方程定解问题的有限体积法的收敛性和近似解误差估计.另外,针对矩形域上一个泊松方程的具体定解问题,导出了它的一种特殊有限体积格式,并且编程实现,计算出该泊松方程定解问题的数值解,将算出的数值解与问题的精确解进行了简单比较,得到了初步的结论.在具体例子中用的是一种特殊的有限体积格式,它可以化为五点差分格式,它比较简单,但有很大的局限性,在边界很规则的情况下使用效果比较好,当边界不规则时,五点差分格式的误差就比较大.一般情况的有限体积法在本文没有太多涉及.-Finite volume method and its application in the problem for determining solution The thesis introduced principal of minimum potential energy , principle of virtual work and Ritz-Galerkin method. It is mainly discussed finite volume method of problem for determining solution of elliptic equation and of hyperbolic equation. It is briefly stated that the convergence and error of numerical solutions for elliptic equation. Besides that, it is derived that a special scheme of finite volumn for solving the poisson equation in the rectangle domain, and is obtained the numerical solution by programming. After that, I compared the excise solution with the numerical solution, and came to a simple conclusion. This five point scheme is deduced in the thesis, though it’s simple, it has its limit. It works well when the boundary is regular and its error become large when the boundary is irregular. The thesis hasn’t dealt with finite volumn method in general condition.
Date
: 2025-12-23
Size
: 2kb
User
:
刘小宝
[
Algorithm
]
SearchCarving.m
DL : 0
find the path for seam carving with minimum forward energy
Date
: 2025-12-23
Size
: 1kb
User
:
PhilipMorris
[
Algorithm
]
unite-the-fruits
DL : 0
在一个果园里,多多已经将所有的果子打了下来,而且按果子的不同种类分成了不同的堆。多多决定把所有的果子合成一堆。 每一次合并,多多可以把两堆果子合并到一起,消耗的体力等于两堆果子的重量之和。可以看出,所有的果子经过n-1次合并之后,就只剩下一堆了。多多在合并果子时总共消耗的体力等于每次合并所耗体力之和。 因为还要花大力气把这些果子搬回家,所以多多在合并果子时要尽可能地节省体力。假定每个果子重量都为1,并且已知果子的种类数和每种果子的数目,你的任务是设计出合并的次序方案,使多多耗费的体力最少,并输出这个最小的体力耗费值。 例如有3种果子,数目依次为1,2,9。可以先将1、2堆合并,新堆数目为3,耗费体力为3。接着,将新堆与原先的第三堆合并,又得到新的堆,数目为12,耗费体力为12。所以多多总共耗费体力=3+12=15。可以证明15为最小的体力耗费值。 输入 输入包括两行,第一行是一个整数n(1<=n<=10000),表示果子的种类数。第二行包含n个整数,用空格分隔,第i个整数ai(1<=ai<=10000)是第i种果子的数目。 输出 输出包括一行,这一行只包含一个整数,也就是最小的体力耗费值。输入数据保证这个值小于231。-In an orchard , a lot has shot down all the fruit , but also according to different types of fruit into a different heap. Toto decided to put all the fruit of the synthetic pile . Every merger , a lot of piles of fruit can be merged together , physical consumption is equal to the weight of the fruit and piles . As can be seen , all of the fruit after n-1 times after the merger, on the left a pile . When a lot of fruit in the combined total of the physical consumption is equal to each combination of physical consumption . Because they have to spend great efforts to put these fruits moved back home , so a lot of the fruit of the merger should save energy as much as possible . Assume that each fruit weight is 1 , and the number of species known to fruit and the number of each type of fruit , your task is to design a sequence of merger proposal , so that it takes a lot of physical minimum and the output value of this minimal physical exertion . For example there are three kinds of
Date
: 2025-12-23
Size
: 333kb
User
:
kenber
[
Algorithm
]
leihiu
DL : 0
最小均方误差等算法的MSE的计算,用于特征降维,特征融合,相关分析等,能量谱分析计算。- Minimum mean square error MSE calculation algorithm, For feature reduction, feature fusion, correlation analysis, Energy spectrum analysis and calculation.
Date
: 2025-12-23
Size
: 6kb
User
:
qou
[
Algorithm
]
maiging
DL : 0
最小均方误差等算法的MSE的计算,线性调频脉冲压缩的Matlab程序,这是第二能量熵的matlab代码。- Minimum mean square error MSE calculation algorithm, LFM pulse compression of the Matlab program, This is the second energy entropy matlab code.
Date
: 2025-12-23
Size
: 5kb
User
:
tiu
[
Algorithm
]
Find minimum energy fcc configuration
DL : 0
lammps源文件,可以实现计算面心立方晶格的最低能量(find minimum energy fcc configuration)
Date
: 2025-12-23
Size
: 245kb
User
:
rookiekai
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