Numerical Methods Using MATLAB第四版,作者是 Mathews 和 Fink,英文版 文字版非扫描版.
2020-12-14 19:47:49 3.22MB numeric 数值方法 matlab 4th
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Molecular dynamics simulation Elementary Methods.rar
2020-11-27 10:58:10 5.36MB Molecular dynamics simulation Elementary
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卫星轨道动力学模型方法及应用,包含基础动力学建模等相关内容。内容为英文版。
2020-04-13 03:14:02 7.44MB 轨道 卫星
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这里面包含Numerical Methods Using MATLAB_Mathews_4th中英和答案pdf,需要的同学可以拿去,帮助更多学习算法的同学
2020-03-15 03:16:53 25MB Numerical Me
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Numerical Methods in Engineering with Python is a text for engineering students and a reference for practicing engineers, especially those who wish to explore the power and efficiency of Python. The choice of numerical methods was based on their relevance to engineering problems. Every method is discussed thoroughly and illustrated with problems involving both hand computation and programming. Computer code accompanies each method and is available on the book web site. This code is made simple and easy to understand by avoiding complex book-keeping schemes, while maintaining the essential features of the method Python was chosen as the example language because it is elegant, easy to learn and debug, and its facilities for handling arrays are unsurpassed. Moreover, it is an open-source software package that can be downloaded freely on theweb. Python is a great language for teaching scientific computation.
2020-03-04 03:02:12 2.12MB Numerical Methods Engineering Python
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WAVELET METHODS FOR TIME SERIES ANALYSIS
2020-02-02 03:04:41 2.56MB WAVELET METHODS FOR TIME
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This is an exellent book on wavelet in statistics.
2020-02-02 03:02:42 2.59MB Wavelet transform statistics
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Mathematical Methods for Physics and Engineering,Mathematical Methods for Physics and Engineering
2020-01-30 03:16:56 9.26MB Mathematical Met
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《Fundamentals of Robotic Mechanical Systems Theory, Methods, and Algorithms》第四版,原文作者Jorge Angeles,主要讲述机器人机械系统原理理论方法和算法。
2020-01-19 03:16:08 9.71MB 机器人 机械系统 算法
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In this paper we present a method for fast surface reconstruction from large noisy datasets. Given an unorganized 3D point cloud, our algorithm recreates the underlying surface’s geometrical properties using data resampling and a robust triangulation algorithm in near realtime. For resulting smooth surfaces, the data is resampled with variable densities according to previously estimated surface curvatures. Incremental scans are easily incorporated into an existing surface mesh, by determining the respective overlapping area and reconstructing only the updated part of the surface mesh. The proposed framework is flexible enough to be integrated with additional point label information, where groups of points sharing the same label are clustered together and can be reconstructed separately, thus allowing fast updates via triangular mesh decoupling. To validate our approach, we present results obtained from laser scans acquired in both indoor and outdoor environments.
2020-01-19 03:15:49 1.68MB Surface Reconstruction Point Clouds
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