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数学建模中回归法拟合（包括初步回归，逐步回归和二元二项回归）的matlab程序(Mathematical Modeling in the return fitting (including the initial regression, stepwise regression and binary regression 2) the matlab program)

Distance Estimation using Stereo Vision

simulation of double stage rectifire using matlab simulink power electronic field

kalman filter for tracking

迭代自适应Simpson，Lobatto积分 In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm. We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (e.g. quad, quadv, and quadl). Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf. (Iterative Adaptive Simpson, Lobatto Points In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm.We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (eg quad, quadv, and quadl) . Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf.)

這是一本MATLAB程式設計延伸技巧程式書本上的程式碼CH9(一次無法全部上傳會斷線)(This is an extension of MATLAB programming skills in program code books CH9)

RANDOM NUMBER GENERATION AND TEST FOR RANDOM NUMBER

Document about embbedded programming by C

利用matlab软件对PID参数进行多种方式的调节整定(Using matlab software PID parameter tuning adjustment of a variety of ways)

Proper Orthogonal Decomposition for 2D data