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活塞式压缩机排气管道压力脉动计算matlab程序(Matlab program to calculate the pressure pulsation of piston compressor outlet pipe)

Bifurcations of circle maps: Arnol d tongues, bistability and rotation intervals

用matlab编写的GUI射击小游戏，靶子图片为pp，可直接更换(Prepared using matlab GUI shooting game, the target image is pp, can be a direct replacement)

fmincon finds a constrained minimum of a function of several variables. fmincon attempts to solve problems of the form: min F(X) subject to: A*X <= B, Aeq*X = Beq (linear constraints) X C(X) <= 0, Ceq(X) = 0 (nonlinear constraints) LB <= X <= UB (bounds)

It is a simple demo for belief propagation algorithm.

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

battery management for electric vehicle

SMPP Protocol version 3.4

结构拓扑优化--------------------------------------------(Topology optimization--------------------------------------------)

FILTERING OF AN IMAGE USING MASK