《矩阵实验室》(Mathworks.Matlab.R2015a)[光盘镜像]

介绍

英文名: Mathworks.Matlab.R2015a

中文名: 矩阵实验室

别名: Matlab

资源格式: 光盘镜像

发行时间: 2015年03月05日

地区:  美国

语言:  英文

资源简介：



http://cn.mathworks.com/images/nextgen/supporting/products/matlab/R2014b-matlab-features.png

新的默认颜色图使得数据呈现更准确，从而更容易解读。新的采用抗锯齿图形和字体的默认线条颜色、字体和样式带来了更加 清晰、美观的MATLAB视觉效果。
http://cn.mathworks.com/images/nextgen/supporting/products/matlab-graphics/new-look.gif


绘图轴线的旋转刻度标签
http://cn.mathworks.com/images/nextgen/supporting/products/matlab-graphics/rotatable-tick-labels.gif


使用新的 日期时间 数组类型创建绘图。使用自动从天数更改为小时到分钟的刻度标签缩放和平移绘图
http://cn.mathworks.com/images/nextgen/supporting/products/matlab-graphics/automatic-updating-of-datetime-ticks.gif


使用新的 animatedline 函数显示数据如何随时间而变化。
http://cn.mathworks.com/images/nextgen/supporting/products/matlab-graphics/animatedline-function.gif


在绘图标题、轴线标签和用户界面对象中使用Unicode字符。
http://cn.mathworks.com/images/nextgen/supporting/products/matlab-graphics/special-characters.gif


使用 uitabgroup 和 uitab 函数创建带有标签面板的用户界面。
http://cn.mathworks.com/images/nextgen/supporting/products/matlab-graphics/tab-panels.gif



MATLAB MapReduce and Hadoop
Watch video
MATLAB® has numerous capabilities for exploring and analyzing big data sets. Among them is MapReduce, a powerful, and established programming technique for applying filtering, statistics and other general analysis methods to big data.

The MapReduce functionality built into MATLAB lets you analyze data that does not fit into memory. By running your MapReduce based algorithms in parallel (using Parallel Computing Toolbox™), you can better utilize the processing resources on your desktop without changing your algorithms.

To analyze data in MATLAB using MapReduce:

Specify the data you want to analyze using datastore
Create your map and reduce functions in MATLAB
Execute your map and reduce functions using mapreduce
While MATLAB MapReduce is optimized for array-based analysis, it is fully compatible with Hadoop MapReduce, so you can run your MapReduce based algorithms within the Hadoop MapReduce framework:

Execute MapReduce based algorithms on Hadoop directly from the MATLAB desktop, using MATLAB Distributed Computing Server™
Package MapReduce based algorithms for deploying to production Hadoop systems, using MATLAB Compiler™




Arrays of date and time values that can be displayed in different formats
Date and time data types, such as datetime and duration, support efficient computations, comparisons, and formatted display of dates and times. Work with these arrays in the same way that you work with numeric arrays. For example, add, subtract, sort, compare, concatenate, and plot date and time values.

Create Date and Time Arrays
Create arrays to represent dates, time, and duration
Components of Dates and Time
Extract or set quantities of date and time arrays, such as years or seconds
Date and Time Arithmetic and Plotting
Query data, add, subtract, and plot dates and time
Dates and Time as Numbers and Strings
Represent dates and time as double-precision numeric values or strings




You can use MATLAB® to work with files under source control. You can perform operations such as update, commit, merge changes, and view revision history directly from the Current Folder browser.

MATLAB integrates with:

Subversion® (SVN)
Git™
MATLAB also has interfaces to MSSCCI source control systems. However, this interfaces is not integrated with the Current Folder browser. If you are just starting to use source control in MATLAB, use a source control system that is part of the MathWorks® source control integration, such as SVN or Git, to take full advantage of built-in capabilities with the Current Folder browser.

To use source control in your project, use any of these workflows:

Retrieve files from an existing repository. See Check Out from SVN Repository or Clone from Git Repository.
Add source control to a folder. See Create New Repository.
Add new files in a folder already under source control. See Mark Files for Addition to Source Control.




Create and share toolboxes, add documentation
You can package MATLAB® files to create a toolbox to share with others. These files can include MATLAB code, data, apps, examples, and documentation. When you create a toolbox, MATLAB generates a single installation file (.mltbx) that enables you or others to install your toolbox.

Functions

Examples and How To

Toolbox Files
Manage Toolboxes
Create and Share Toolboxes
Help and Documentation
Add Help for Your Program
Create Help for Classes
Check Which Programs Have Help
Create Help Summary Files — Contents.m
Display Custom Documentation
Display Custom Examples




With online, self-paced training through MATLAB Academy™, you can build career-enhancing skills at a pace that fits your schedule.

Courses through MATLAB Academy help you learn MATLAB®, the language of technical computing, through an interactive online format. The courses include demonstrations, quizzes, and hands-on MATLAB practice sessions that allow you to apply the skills you gain immediately. Course content is provided in short, well-defined modules, enabling you to jump to the topics that you want to learn most.


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