(Inshort,theKalmanfilterisan"optimalrecursivedataprocessingalgorithm(optimalautoregressivedataprocessingalgorithm)."Formostoftheproblemstosolveit,heisthebest,mostefficientorevenuseful.) - IMDN开发者社群-imdn.cn">

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Kalman

于 2010-05-14 发布文件大小:407KB

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下载积分: 1 下载次数: 7

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简单来说，卡尔曼滤波器是一个"optimal recursive data processing algorithm（最优化自回归数据处理算法）"。对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。(In short, the Kalman filter is an " optimal recursive data processing algorithm (optimal autoregressive data processing algorithm)." For most of the problems to solve it, he is the best, most efficient or even useful.)

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1.理解显式差分格式的依赖区域。写出所给微分方程的依赖区域。 2.会求显式差分格式的截断误差。 3.能写出显式差分格式的CFL条件，显式差分格式的稳定性条件，写出显式差分格式的收敛性条件。 (Understanding the explicit difference scheme dependent region. Write to differential equations dependent region. 2 will seek explicit difference scheme truncation error. Explicit Difference Scheme CFL conditions, the stability condition of the explicit difference scheme able to write, write explicit difference scheme convergence conditions.)

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说明： K最近邻(K-Nearest Neighbor，KNN)分类算法，是一个理论上比较成熟的方法，也是最简单的机器学习算法之一。(K nearest neighbor (K-Nearest Neighbor, KNN) classification algorithm, is a more mature approach in theory is the simplest machine learning algorithms.)

2011-05-31 18:30:55下载

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Kalman

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