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Soct
假设有一个能装入总体积为T的背包和n件体积分别为w1 , w2 , … , wn 的物品，能否从n件物品中挑选若干件恰好装满背包，即使w1 +w2 + … + wn=T，要求找出所有满足上述条件的解。例如：当T=10，各件物品的体积{1，8，4，3，5，2}时，可找到下列4组解：（1，4，3，2），（1，4，5），（8，2），（3，5，2）。
[需求分析](Suppose there are a load of the backpack of the total volume of T and n volumes were w1, w2, ... wn items, whether selected from n items a number of exactly filled backpack, even if w1+w2+ ...+ wn = T, find out the solution of all the above conditions are met. For example: when T = 10, the volume of items {1,8,4,3,5,2}, can be found in the following four solutions: (1,4,3,2), (1,4,5 ), (8,2), (3,5,2). [Needs Analysis])
- 2012-06-14 16:25:10下载
- 积分：1
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line
线阵天线方向图的画法 可改参量 实现不同参量下的方向图(The Drawing of Line Antenna Pattern)
- 2017-09-26 15:53:31下载
- 积分：1
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feixianxingxianxinghua
提供两种非线性动态方程线性化的方法实例，精确线性化方法和反馈线性化方法(Provides two linear equations of nonlinear dynamic methods examples of exact linearization and feedback linearization method)
- 2010-05-14 15:38:08下载
- 积分：1
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CYCLE
气象数据计算超等许,能够计算在风厂中气象数据的票性诡计(meteorological data superfine promised to calculate the wind plant meteorological data of the votes sexual tricks)
- 2006-10-26 21:27:26下载
- 积分：1
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nonlinear-optium
本程序实现了一个简单的非线性约束最优化问题，仅供参考(This program implements a simple nonlinear constrained optimization problems, for reference only)
- 2013-05-28 16:59:16下载
- 积分：1
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hybrid_pseudo_L
高超声速飞行器上升轨迹优化计算。采用勒让德伪谱法直接优化方法。(trajectory optimization of hypersonic craft program with legendre method)
- 2013-08-28 18:26:44下载
- 积分：1
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求解一维Eluer方程lax
求解一维Eluer方程，计算一维激波管问题，lax_wendroff(Solving one dimensional Eluer equation to calculate the one-dimensional shock tube problem, lax_wendroff)
- 2020-07-18 10:28:48下载
- 积分：1
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共轭梯度法
说明： 共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(Conjugate gradient method Gradient) is a method between the steepest descent method and Newton's method. It only uses the first derivative information, but overcomes the disadvantage of slow convergence of steepest descent method, and avoids the disadvantage of storing and calculating Hesse matrix and solving inverse of Newton's method. Conjugate gradient method is not only one of the most useful methods to solve large-scale linear equations, but also the most effective method to solve large-scale nonlinear optimization One of the algorithms of. Among all kinds of optimization algorithms, conjugate gradient method is very important. It has the advantages of small storage, step convergence, high stability and no external parameters.)
- 2020-06-27 15:46:08下载
- 积分：1
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h1
关于多智能体系统一致性的程序，解微分方程(Consistency of multi-agent systems program)
- 2013-09-17 09:57:29下载
- 积分：1
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2DAcoustic
完成不带PML边界的2维声波介质波场正演(Forward modelling of the wave field in two-dimensional acoustic medium)
- 2021-03-03 19:19:33下载
- 积分：1
