GUI_DTW

matlab 经典算法，有差值，解方程，画图的源程序。(matlab classical algorithm, there is difference, solve equations, drawing of the source.)

matlab编程中译版，Stephen.J.Chapman著(Matlab programs for engineer written by STEPHEN.J.Chapman)

非线性求解的二分法程序，还有非线性方程简单迭代。含误差分析，最大迭代次数。(The dichotomy procedure for nonlinear solutions and the simple iteration of nonlinear equations. The error analysis, the maximum number of iterations.)

用matlab编程求解无约束优化问题、线性规划问题即在一组线性不等式或等式组的约束条件下求某个线性函数的最值问题(Matlab programming for solving unconstrained optimization problems, linear programming problems that most value problem for a linear function under the constraints of a set of linear inequalities or equations group)

捷联惯导系统仿真算法的研究及其实现.nh.大连理工大学硕士论文，详细阐述了如何用matlab-simulink进行惯导仿真(Strapdown inertial navigation system simulation algorithm and its realization. Nh. Dalian University of Technology master s thesis in detail how to use matlab-simulink simulation for INS)

mimo信道模型中，n个独立并行加性高斯白噪声信道组成信道的注水分布程序(mimo channel model, n independent parallel additive white Gaussian noise channel composed of the water distribution channel program)

是一个讲解十分详细的模型预测控制入门教程(Is a very detailed tutorial on model predictive control)

Op Amp details & application

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhar博士和kennedy博士发明。源于对鸟群捕食的行为研究 ，PSO同遗传算法类似，是一种基于叠代的优化工具。 (Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), and has Eberhar Dr. Dr. kennedy invention. Stems from the behavior of predatory birds, PSO with genetic algorithm is similar to an iterative optimization-based tools.)

The Gauss-Seidel technique is intuitive and easy to use on large or small problems. However, you should beware that the convergence tolerance must be carefully selected. Because the convergence criterion is based on the error between iterations, the same convergence criteria may lead to very different results. The direct solution technique presented in Section 2.6.2 is generally preferred over an iterative technique like Gauss-Seidel iteration if a tool such as MATLAB that provides a computationally efficient means of solving sparse matrices is available.