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复化求积公式计算定积分 包括 复化梯形 复化辛普森 等(complexification quadrature formula to calculate definite integration)

wolf 方法计算李雅普诺夫指数,用于时频分析算法，旋转机械二维全息谱计算的实用例程。( wolf calculated Lyapunov exponent, For time-frequency analysis algorithm, Rotating Machinery dimensional hologram of practical spectrum calculation routines.)

ansys非线性各向同性，非线性随动硬化(ANSYS nonlinear isotropic, linear kinematic hardening)

实现多项式样条利率期限结构参数求解，方面做国债研究人员借鉴(Polynomial spline interest rate term structure parameters for solving aspects of the bond researchers draw)

计算bessel函数的值。在调压室的结构应力计算时可用到。(Calculate bessel function value. Stress in the surge tank can be calculated to.)

风电场短期风速预测研究,用的是MATLAB开发环境，对于研究风电场的同学有帮助(Short-term wind speed prediction of wind farms)

采用数值分析课程中的插值逼近以及曲面拟合方法来估算复杂的函数表达式。(Interpolation approximations and surface fitting methods are used in the numerical analysis course to estimate complex function expressions.)

电力系统继电保护中经常应用的滤波算法，基于电力系统电流信号的傅里叶变换。程序给出了算法的仿真实现。(Power system, Filtering Algorithm, Fourier Transform, Simulation in matlab)

说明：  本書介紹現代的數值近似方法，解釋這些方法如何、為何，以及何時有用，以作為進一步研讀數值分析與科學計算的基礎。修習本書，學生將學會辨別須使用數值方法求解之問題的種類，及使用這些方法時，誤差傳遞的實例；對無法求得確解的問題，應能求得精確的近似解，並學會估計此近似解誤差界限的方法。書中介紹的數值方法，由數學分析、計算法則到實例，皆有系統的說明。本書對於任何要使用數值方法的學系，均可作為良好的基礎教材，同時也是一本內容完備的參考書籍。(This book introduces modern numerical approximations, explaining how, why, and when they are useful as a basis for further study of readings and scientific calculations. In this book, students will learn to identify the types of problems that must be solved using numerical methods, and examples of error propagation when using these methods; for problems that cannot be solved, an accurate approximate solution should be obtained and learn to estimate this. The numerical methods introduced in the method of approximating the error bounds are systematically explained by mathematical analysis, calculation rules and examples. This book can be used as a good basic textbook for any department that wants to use numerical methods. It is also a complete reference book.)

一个用于解决马尔可夫过程的源代码,很适合学习随机过程的同学1(a Markov process for the settlement of the source code, are very suitable for studying stochastic process a classmate)