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数值分析实验
数值分析实验1.明确插值多项式和分段插值多项式各自的优缺点；
编程实现拉格朗日插值算法，分析实验结果体会高次插值产生的龙格现象；(Experiments of numerical analysis 1. Define the advantages and disadvantages of interpolation polynomials and piecewise interpolation polynomials. The Lagrange interpolation algorithm is programmed, and the Runge phenomenon produced by high-order interpolation is analyzed.)
- 2019-04-30 22:30:36下载
- 积分：1
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p3-shannon
山农的通信的数学方法。是信息论的奠基性文章。(Shannong mathematical methods of communication. Is the foundation of information theory article.)
- 2007-08-14 21:49:49下载
- 积分：1
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imm
说明： 本程序是matlab编写的imm（交互式多模型算法）目标跟踪程序。这种方法的特点是在各模型之间“转换”，自动调节滤波带宽，和适合机动目标的跟踪。(This program is matlab written imm (interacting multiple model algorithm) target tracking program. This method is characterized among the various models " conversion" , automatically adjust filter bandwidth, and suitable for maneuvering target tracking.)
- 2009-09-03 20:58:09下载
- 积分：1
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Mesh2d_v24
三角形网格划分, 自由网格和结构网格划分，包括主要的matlab文件和函数，使用main.m 执行(mesh triangle grid using matlab, free mesh and structured mesh. The file include mfiles and functions. The program could be run through main.m)
- 2017-07-11 21:28:07下载
- 积分：1
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2Dforce-based-non-prismatic-element
Mathematica计算基于力平衡变截面梁单元的质量和刚度矩阵(2D force-based finite element mathemaica)
- 2020-11-26 16:09:32下载
- 积分：1
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Dijkstra
求数组最长递增子序列算法。输入一个数组，输出其最大递增子序列(Array for the longest increasing subsequence algorithm. An array of input and output its maximum incremental sequence)
- 2007-08-07 16:14:13下载
- 积分：1
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高斯
给出了高斯消元的代码，和程序页面，方便快捷(The code and program page of Gauss elimination are given, which is convenient and quick.)
- 2018-11-19 19:25:26下载
- 积分：1
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chazhi
本例实现了插值函数，将不同次数的插值进行了显示，防止了龙格现象，研究生一般以此题为作业。(The cases to achieve interpolation function, the number of different interpolation were shown to prevent the Runge phenomenon, in order to graduate generally entitled operations.)
- 2013-11-14 15:28:33下载
- 积分：1
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LeastSquareFitting
利用最小二乘方法，对三维数据进行平面拟合，并对数据进行误差提出(least square plane fitting
)
- 2020-12-27 16:09:02下载
- 积分：1
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数值分析__（第七版__翻译版）_11467103.pdf
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.)
- 2019-06-04 09:17:15下载
- 积分：1
