Matlab Programming

Free Application of Matlab Tutorials ( Programs ) about Numerical ( methods) Analysis.

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language. A proprietary programming language developed by MathWorks, MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, C#, Java, Fortran and Python.

Although MATLAB is intended primarily for numerical computing, an optional toolbox uses the MuPAD symbolic engine, allowing access to symbolic computing abilities. An additional package, Simulink, adds graphical multi-domain simulation and model-based design for dynamic and embedded systems.

As of 2017, MATLAB has over 2 million users across industry and academia.[7] MATLAB users come from various backgrounds of engineering, science, and economics.

Millions of engineers and scientists worldwide use MATLAB® to analyze and design the systems and products transforming our world. MATLAB is in automobile active safety systems, interplanetary spacecraft, health monitoring devices, smart power grids, and LTE cellular networks. It is used for machine learning, signal processing, image processing, computer vision, communications, computational finance, control design, robotics, and much more.

Math. Graphics. Programming.

The MATLAB platform is optimized for solving engineering and scientific problems. The matrix-based MATLAB language is the world's most natural way to express computational mathematics. Built-in graphics make it easy to visualize and gain insights from data. A vast library of prebuilt toolboxes lets you get started right away with algorithms essential to your domain. The desktop environment invites experimentation, exploration, and discovery. These MATLAB tools and capabilities are all rigorously tested and designed to work together.

Scale. Integrate. Deploy.

Each toolbox is purchased separately. A student version of MATLAB is available as is a home-use license for MATLAB, Simulink, and a subset of Mathwork's Toolboxes at substantially reduced prices.

MATLAB helps you take your ideas beyond the desktop. You can run your analyses on larger data sets and scale up to clusters and clouds. MATLAB code can be integrated with other languages, enabling you to deploy algorithms and applications within web, enterprise, and production systems.

Numerical analysis is the study of algorithms that use numerical approximation (as opposed to general symbolic manipulations) for the problems of mathematical analysis (as distinguished from discrete mathematics).

Numerical analysis naturally finds applications in all fields of engineering and the physical sciences, but in the 21st century also the life sciences and even the arts have adopted elements of scientific computations. Ordinary differential equations appear in celestial mechanics (planets, stars and galaxies); numerical linear algebra is important for data analysis; stochastic differential equations and Markov chains are essential in simulating living cells for medicine and biology.

Numerical analysis continues this long tradition of practical mathematical calculations. Much like the Babylonian approximation of the square root of 2, modern numerical analysis does not seek exact answers, because exact answers are often impossible to obtain in practice. Instead, much of numerical analysis is concerned with obtaining approximate solutions while maintaining reasonable bounds on errors.

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Matlab的教程（计划）的有关数值（方法）分析自由申请。

MATLAB（矩阵实验室）是一种多范式数值计算环境和第四代编程语言。 MathWorks公司开发的专有编程语言，MATLAB允许矩阵运算，绘制函数和数据，实现算法，用户界面的创建，并与其他语言编写，包括C，C ++，C＃，Java和Fortran和Python程序接口。

尽管MATLAB主要用于数值计算，可选的工具箱使用MuPAD符号引擎，允许访问符号计算能力。一个额外的包，Simulink中，添加的图形的多域仿真和基于模型的设计用于动态和嵌入式系统。

截至2017年，MATLAB具有跨产业界和学术界超过200万用户。[7] MATLAB用户来自工程，科学和经济学的不同背景。

全球数百万工程师和科学家使用MATLAB®分析和设计的系统和产品的改变我们的世界。 MATLAB是在汽车主动安全系统，星际飞船，健康监测设备，智能电网以及LTE蜂窝网络。它是用于机器学习，信号处理，图像处理，计算机视觉，通信，计算金融，控制设计，机器人，等等。

数学。图形。编程。

在MATLAB平台是为了解决工程和科学问题进行了优化。基于矩阵MATLAB语言是世界上最发表计算数学自然的方式。内置的图形可以很容易地可视化，并获得来自数据的洞察力。预置的工具箱的一个浩大的图书馆可以让你马上开始使用算法来您的域名是必不可少的。桌面环境诚邀实验，探索和发现。这些MATLAB工具和功能都经过严格的测试和设计为一起工作。

规模。整合。部署。

每个工具箱单独购买。 MATLAB的学生版本可以是MATLAB，Simulink的家庭使用许可，并大幅降低价格Mathwork的工具箱中的一个子集。

MATLAB可以帮助你把你的想法超越台式机。您可以在更大的数据集运行分析，并扩展到集群和云。 MATLAB代码与其他语言相结合，使您能够部署Web，企业和生产系统内的算法和应用。

数值分析是使用数值近似（相对于一般的符号操纵），用于数学分析的问题（如从离散数学区别）算法的研究。

数值分析自然发现在工程的各个领域和物理科学的应用，但在21世纪也是生命科学，甚至艺术都采用了科学计算的元素。常微分方程出现在天体力学（行星，恒星和星系）;数值线性代数是用于数据分析的重要;随机微分方程和马尔可夫链模拟中医药和生物活细胞必不可少的。

数值分析延续了这个长期的实践数学计算的传统。就像2的平方根的巴比伦逼近，现代数值分析不寻求确切的答案，因为答案准确往往无法获得在实践中。相反，大部分的数值分析关注的是获得近似解，同时保持合理的误差范围。

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