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所在平台: Udemy |
课程主页: https://www.udemy.com/course/numerical-methods-matlab-engineers-curve-fit/
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课程名称：工程学生的MATLAB数值方法第二部分 课程概述：插值和曲线拟合技术在科学和工程领域被广泛应用。这是因为实验生成的数据需要通过数学模型来描述。曲线拟合帮助我们实现这一目标！本课程涵盖本科级数值方法课程中通常涉及的插值和曲线拟合技术，学员将使用MATLAB在计算机上实现这些方法。 课程涵盖内容： - 最小二乘回归 - 多项式回归 - 拉格朗日插值多项式 - 牛顿的差商法 - 线性样条 - 二次样条 - 三次样条 - MATLAB方法的实现 课程附带资源： - 可下载的课堂笔记大纲（PDF文件），帮助您跟随讲座并保持参与感 - 14个可下载的MATLAB.m文件，包含课程中使用的所有代码 - 易于遵循的讲座视频 完成本课程后，您将能够为实验数据生成自己的曲线拟合，并了解如何进行适当的插值，以获得最佳估计。如果您正在大学修读数值方法课程，我们将通过手动以及使用MATLAB的一些示例进行练习，以便您在考试时应对手动解题。此外，如果您希望提高编程技能，这也是一个很好的课程，涵盖了许多使用不同编码概念的算法，例如if-elseif语句和for循环。因此，如果您希望通过MATLAB编程获得更多实践经验，此课程将为您提供很好的机会。
Interpolation and curve fitting techniques are widely-used by scientists and engineers. Why? Well, experiments generate data and it's necessary to find a way to model this data mathematically. Curve fitting helps us do that! This course covers interpolation and curve fitting techniques typically found in an undergraduate-level Numerical Methods course. MATLAB will be used to implement the methods on the computer. What we'll cover:Least squares regressionPolynomial regressionLagrange interpolating polynomialsNewton's divided differencesLinear splinesQuadratic splinesCubic splinesMATLAB implementation of the methodsWhat comes with the course:Downloadable outline of notes (.pdf file) to help you follow along with the lectures and keep you engaged14 downloadable MATLAB.m files of all codes used in the courseEasy to follow lecture videosAfter this course you'll be able to generate your own curve fits for experimental data as well as know how to properly interpolate to get the best estimates. If you're taking a Numerical Methods course at a University, I've got you covered! We'll work through examples by hand as well as using MATLAB. This way you'll be prepared if you get an exam problem you have to complete by hand. If you're looking for a way to improve your coding skills this is a great course for that too! We'll cover lots of algorithms that'll use different coding concepts like if-elseif statements and for loops. So, if you want more practice with programming in MATLAB this course will definitely give you that experience.
