Peng_Robinson_EOS

有限元稀疏矩阵的保存和提取，基于ANSYS提取稀疏矩阵后在matlab中的重新整理。(Preservation and extraction of finite element sparse matrix)

配网潮流计算 针对33节点 可以使用 牛顿拉夫逊法(Distribution network for 33 nodes can flow calculation using Newton Raphson)

对雷达方程的研究，输出功率与测量距离之间的关系(Radar equation, the relationship between the output power and measure the distance)

heapmgrbase program for dynamic memory

空时分组码源代码，对做项目和有课题的学者很有帮助(Space-time block codes the source code, to do projects and academic topics helpful)

说明：  基于stretch处理的雷达抗距离-速度同步欺骗干扰的仿真(Simulation of radar anti-range-velocity synchronous deception jamming based on stretch processing)

matlab program for EMG

Learning_random.m : 随机选择样例，从（90）pool里随机选择样本，删除版本空间树的数量 activeLearning.m:根据最大熵原则,从pool里选择样本，删除版本空间树的数量 getlabel.m:根据树和测试样例，得到根据该树得到的类标 getTrees.m:从提供的大量树结构(随机生成的)中，随机挑选一定数量的树(如果该树的叶子节点无类标随机添加) RandomCreateTree_d_unbalance:根据样本点割点中的非平衡割点建造树， RandomCreateTree_d_all.m:根据所有样本点的割点建造树 randomdata.m：给定属性取值，造数据 randomselect.m:从数据中随机选择一部分作为 showTree.m:显示树的结构 test.m:给出树，测试样例，得到正确率(Learning_random.m: randomly selected sample, randomly selected sample from (90) pool the The deleted version space tree quantity activeLearning.m: selecting a sample from the pool based on the principle of maximum entropy, delete the number of version space tree getlabel.m: According to the tree and the test sample obtained according to the class standard getTrees.m the tree: from the tree structure (randomly generated), randomly selected a certain number of trees (the leaves of the tree node class marked randomly adding ) RandomCreateTree_d_unbalance: According to the sample point cut point unbalanced cut point construction tree, RandomCreateTree_d_all.m: construction of the tree randomdata.m all sample points cut point: given the value of the property, manufacturing data randomselect.m: random data Select as part showTree.m: tree structure test.m: tree, the test sample is given to get the correct rate)

pendulum model, its non linear control

基于信息熵的人工免疫算法在tsp问题中的应用，求解50个城市的实现(Entropy-based artificial immune algorithm tsp Problem solving the implementation of 50 cities)