mathematica 10 中文&英文_mathematica 10

Mathematica 新增400多个函数，对57个应用领域的功能进行了增强或改进。功能亮点包括：

* 新增 Wolfram 预测界面，这是对 Mathematica 导航和查询功能的极大改进，也是 Wolfram 所倡导的 Compute-as-You-Think（让计算随心所欲）理念的一部分。

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* 新增图与网络分析功能，包括 Facebook、LinkedIn、Twitter 等社交网站的内置链接

* 高度集成的单位支持，包括在图形和数值以及符号式计算中的自由格式语言输入、单位换算和量纲一致性检查

* 新增数据科学、概率和统计的重要功能，包括生存性和可靠性分析、马尔可夫链、排队论、时间序列以及随机微分方程等

* R 语言完全集成入 Mathematica 的工作流程，从而实现数据和代码的无缝交流

* 三维立体图像处理以及核外技术，将性能拓展到非常大的二维和三维图像及视频

* 集成的模拟和数字信号处理

引入 Wolfram 预测界面通过预测您下一步的操作，优化工作流中浏览和探索各种功能。

下一步计算建议栏

某个计算一旦完成，您将得到关于下一步操作的最优化建议。按下按钮即可运行一个新函数，或者弹出互动向导。这是一个全新的界面模式，帮助您在 Mathematica 系统与 Mathematica 完美的文档系统集成，实现对 Mathematica 各种函数、选项和其他元素的智能化自动补全和突出显示。

高度集成了超过 4,500 种单位—包括在图形和数值以及符号式计算上的自由格式语言输入、单位换算和量纲一致性检查。

全新的 Mathematica 企业版 具备直接的 CDF 部署功能，以及运行时间的实时数据和其他增强功能。预览模式模拟 CDF Player 和 Wolfram Player Pro。

提供对随时间随机演变的系统进行建模的广义框架，并且支持仿真、估计、切片 分布和均值以及协方差函数。

自动支持离散和连续时间马尔可夫链以及队列网络。计算性能度量和设计诸如呼叫中心或者服务器结构等应用的过程。

从数据自动估计时间序列模型并根据模型进行预测。计算金融、信号处理等领域的随机微分方程的符号式属性。

What Is Mathematica?

Almost any workflow involves computing results, and that’s what Mathematica does—from building a hedge-fund trading website or publishing interactive engineering textbooks, to developing embedded image-recognition algorithms or teaching calculus.

Mathematica is renowned as the world’s ultimate application for computations. But it’s much more—it’s the only development platform fully integrating computation into complete workflows, moving you seamlessly from initial ideas all the way to deployed individual or enterprise solutions.

Next-Computation

Suggestions BarThe Suggestions Bar is a new interface paradigm that lets you navigate and discover functionality throughout the Mathematica system. As soon as you finish a computation, you will get optimized suggestions about what to do next. Evaluate a new function or bring up an interactive wizard at the press of a button.

Context-Sensitive Input Assistant

The Input Assistant will help you automatically complete code, discover functions and options, and reduce oversights and typographical errors while coding. Experts will appreciate familiar concepts like auto-completion, code templates, and dynamic highlighting, while beginners will benefit from quick documentation access for any function and visualizations to better understand the structure of Mathematica’s code.

Social Network Analysis

Drawing on Mathematica’s strong graph and network capabilities, Mathematica 9 introduces a complete and rich set of state-of-the art social network analysis functions. Access to social networks from a variety of sources, including directly from social media sites, and high level functions for community detection, cohesive groups, centrality, and similarity measures make performing network analysis tasks easier and more flexible than ever before.

Units

Mathematica 9 introduces a new unit system containing thousands of different units, all integrated with Wolfram|Alpha’s sophisticated unit interpretation system. From unit conversion to dimensional analysis, Mathematica provides you with all the tools you need to work with, and extract properties from, units and quantities. Mathematica also includes integration for Quantity in system functions, including numeric and symbolic calculations, statistics, and visualizations.

Enterprise CDF Deployment

Mathematica 9 streamlines Computable Document Format (CDF) authoring. New preview modes emulate Wolfram CDF Player and Wolfram Player Pro directly in Mathematica—letting you verify your deployed content within your development environment. An updated CDF Web Deployment Wizard eases deployment to the web and allows deployment of CDFs with enhanced capabilities for enterprise applications.

Random Processes

Mathematica 9 adds broad support for random processes, which model systems that evolve over time in a random rather than deterministic fashion, but where states that are near in time are dependent. Random processes, like distributions, are symbolic expressions and can be simulated or estimated from data, and the value of a process at any point in time is a distribution and can be fully used as a distribution. Mathematica 9 fully supports a large number of random processes with some larger groups including parametric processes, finite Markov processes, queueing processes, time series processes and stochastic differential equation processes