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mnyz
一杯沸水冷却，圆柱体模型，底面半径0.05m，高0.1m，周围温度20度，初始水温100度
方程是四维输运方程（常数a^2=k/(c*p)，k是热传导系数0.6006焦/（米*秒*度））
初始条件：t=0时水等于100度
边界条件：1.上下壁都是自由冷却，第三类边界条件，周围温度保持在20度（H=k/h,h取1）
2.杯壁绝热，第二类边界条件
图形显示格式,取过圆柱轴的截面温度变化将其做成动画.
(A cup of boiling water for cooling, the cylinder model, the bottom radius of 0.05m, the high-0.1m, an ambient temperature of 20 degrees, the initial water temperature of 100 degrees is four-dimensional transport equation equation (constant a ^ 2 = k/(c* p), k is the thermal conductivity coefficient of 0.6006 J/(m* s* degrees)) initial conditions: t = 0 when the water equivalent to 100 degrees boundary conditions: 1. up and down the wall are free cooling, the third boundary condition, the ambient temperature maintained at 20 degrees (H = k/h, h check one) 2.杯壁insulation, the second boundary condition graphical display format, check-off section of cylindrical shaft temperature change to make animation.)
- 2007-11-06 20:57:53下载
- 积分：1
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多目标跟踪中的航迹关联融合的程序multiple object tracking matlabcode(3D)
用matlab仿真多目标跟踪中的航迹关联融合的程序，相当好啊！！！(Matlab simulation of multi-target tracking with the track association fusion procedure, very good! ! !)
- 2021-03-18 21:39:19下载
- 积分：1
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Matlab
说明： MATLAB六十个小程序教你学习matlab
(Sixty small MATLAB program to teach you to learn matlab)
- 2011-04-14 20:46:37下载
- 积分：1
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ID3
ID3决策树算法的matlab实现，经过测试可以运行(ID3 in matlab)
- 2014-08-12 21:27:02下载
- 积分：1
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MRAC_2nd_order_study
模型参考自适应二阶实例。。。。。。。。。。。。。。。。。。。。。(MRAC exaple)
- 2020-09-25 10:57:47下载
- 积分：1
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BPSK-with-Diff-Encod
BPSK with Differential Encoding
- 2011-05-23 08:31:28下载
- 积分：1
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QPSk_rayleigh
qpsk over rayleigh channel
- 2015-03-27 09:13:57下载
- 积分：1
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DFAandDataReplace
计算Detrended Fluctuation Exponent(DFA)指数(calculated Detrended Fluctuation Exponent (DFA) index)
- 2007-06-06 20:18:09下载
- 积分：1
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gui_camera
bean recog -gui red , green and black color only
- 2013-07-10 05:40:10下载
- 积分：1
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Midacomo
MIDACO是一般的优化问题求解器。 MIDACO可应用于连续（NLP），离散/整数（IP）和混合整数（MINLP）的问题。问题可能被限制在平等和/或不等式约束。 MIDACO适合多达数百至几千优化变量的问题。 MIDACO实现了一个自由衍生物，启发式算法的处理方法处理的问题，因为黑盒可含有关键功能特性，如非凸性，不连续或随机噪声。(MIDACO is a solver for general optimization problems. MIDACO can be applied to continuous (NLP), discrete/integer (IP) and mixed integer (MINLP) problems. Problems may be restricted to equality and/or inequality constraints. MIDACO is suitable for problems with up to several hundreds to some thousands of optimization variables. MIDACO implements a derivative-free, heuristic algorithm that treats the problem as black-box which may contain critical function properties such as non-convexity, discontinuities or stochastic noise.)
- 2016-02-27 15:27:00下载
- 积分：1
