tiandiline

a matlab code for Dynamical Systems approach to Learn Robot Motions

自己开发的Symbolic Aggregate Approximation(SAX)matlab工具箱。写了GUI界面。内附教程。(Develop their own Symbolic Aggregate Approximation (SAX) matlab toolbox. Write a GUI interface. Included tutorial.)

说明：  romberg求积分，用C++编程实现的 非常好用 谢谢下载(romberg I)

统计信号处理不相干信号的估计，使用MUSIC算法(Estimate statistical signal processing irrelevant signals using MUSIC algorithm)

sparc64 architecture timex specifications.

地球化学数据处理一种常见算法SAMCF，对于识别弱小异常有较大价值(a widely-used method named SAMCF to identify weak anomaly,which has been acknowledged )

该算法既保留了遗传算法的搜索特性，又利用了免疫算法的多机制求解多目标函数最优解的自适应特性，在很大程度上避免了“早熟”，收敛于局部极值。 生物体的免疫系统是一个高度进化、复杂的系统，它能自适应地识别和排除入侵肌体的抗原性异物，保护机体免受损害及维持内坏境稳定，并具有学习、记忆和自适应调节的能力。当抗原入侵时，免疫系统通过自体耐受对‘自己’和‘非己’进行识别，并产生最恰当的抗体排除抗原，通过抗体与抗体之间、抗原与抗体之间的相互刺激和抑制关系，降低抗原对免疫细胞的刺激，抑制抗体的过度分化、增殖，保证免疫平衡并维持抗体的多样性。同时在免疫过程中将产生抗体的部分细胞作为记忆细胞保存下来，对于今后侵入的同类抗原，相应的记忆细胞受到激发而产生大量的抗体。为提高生物体的免疫机能，医学上往往根据抗原性异物提取疫苗给生物体接种，接种过的生物体由于免疫细胞预先获得了抗原染色体的特征信息，因而在类似抗原入侵时，能迅速产生亲和度很高的抗体，有效抵御入侵。(The search algorithm only retains the characteristics of genetic algorithms, and use multiple mechanisms of immune algorithm for solving multi-objective characteristics of adaptive optimal solutions, in large part to avoid the " premature" , converge to local minima. Organism' s immune system is a highly evolved, complex system which adaptively identify and remove foreign matter intrusion antigenic body, protecting the body injury and maintain internal stability bad environment, and has learning, memory and adaptive Ability. When the antigen invasion of immune system tolerance to autologous ' own' and ' non-self' to identify and produce the most appropriate antigen antibody excluded by between antibody and antibody, antigen and antibody mutual stimulation and inhibition of the relationship between reduce the antigen to stimulate immune cells, antibodies inhibit excessive differentiation, proliferation, immune balance and ensure the maintenance of antibody dive)

Rutines to analize the ACL of one dimention, generate ACL of variable neighborhood radius, claculate bruijn diagram, Generate subset matrix acl.mat -> Graf a Celular Autoamta L=1 bruijn.mat -> Generate bruijn diagram and the bruijn matrix invbruijn.mat -> Se le pasa la matriz de evo y el saca los parametros (el inverso) subconjuntos.mat -> Generate subset matrix invsubcon.mat -> Generate the inverse of subset matrix parejas.mat ->Generate the couple matrix anteriores" (Rutines to analize the ACL of one dimention, generate ACL of variable neighborhood radius, claculate bruijn diagram, Generate subset matrix acl.mat-> Graf a Celular Autoamta L=1 bruijn.mat -> Generate bruijn diagram and the bruijn matrix invbruijn.mat-> Se le pasa la matriz de evo y el saca los parametros (el inverso) subconjuntos.mat -> Generate subset matrix invsubcon.mat -> Generate the inverse of subset matrix parejas.mat ->Generate the couple matrix anteriores" )

The ULIB is a collection of efficient building blocks for developing high-performance and scalable systems in C and C++. These building blocks mainly cover, multithreading, parallel computing, efficient data indexing, numerical approximation, and cryptography.

说明：  一本MATLAB入门的书籍，适合入门,讲解的比较详细，值得一看(A MATLAB guide book which is for greenhand. )