This article is organized by China Science Software Network
Introduction to Mathematica Software
Mathematica is Wolfram's original flagship product; it is designed to provide a technical computing platform for R&D and education. Based on the Wolfram Language, Mathematica is 100% compatible with other core Wolfram products.
Known worldwide for its superior technology and ease of use, Mathematica offers a single, integrated and continuously expanding system that covers the widest range of technical computing capabilities. Now with Mathematica Online (online), it also provides perfect access to the cloud and local access on all modern desktop systems via a web browser. Through more than 30 years of meticulous research and development and continuous exploration, Mathematica is unique in many fields.
Outstanding in today's technical computing environments and workflows.
Mathematica 11 is an important milestone in its 30-year history, significantly expanding Mathemtcatica's application areas and introducing numerous technological innovations that provide a higher level of functionality and utility for all Mathematica users.
With the long-term goal of integrating and automating computing and knowledge across all areas, each new version of Mathematica allows users to access the new areas they incorporate in a regular process. If you want to solve PED (Partial Differential Equations) and print it in 3D, Mathematica 11 provides an integrated tool for this, once again greatly expanding the range of cross-domain projects that can be routinely performed by any level of users, allowing users of any level. Can be done routinely.
Mathematica 11 builds on Wolfram's latest breakthroughs in neural network computing, audio integration and linguistic computing. Existing users of Mathematica will also find that this version has a number of practical improvements in interface, language, and algorithm depth and efficiency.
The only choice for modern technology computing
a fully integrated large system
Mathematica has nearly 5,000 built-in functions covering all areas of technical computing—all of which have been carefully crafted to fit perfectly into Mathematica systems.
Not just numbers, not just mathematics, but all-encompassing
Based on more than 30 years of continuous development, Mathematica has performed well in all areas of technical computing, including networking, imaging, geometry, data science, visualization, machine learning and more.
Unimaginable algorithmic function
Mathematica builds powerful algorithms that have never been seen before in many areas—many algorithms are built using the unique development methods and capabilities of the Wolfram Language.
Unprecedented advanced
From superfunctions to meta-algorithms, Mathematica offers an advanced environment that is both automated and increasingly sophisticated, making your work as efficient as possible.
Overall industrial strength
With powerful and efficient algorithms across all areas, Mathematica is built to provide industrial strength, and its parallel computing, GPU computing and other features make it easy to handle large problems.
Easy to use powerful features
With its algorithmic capabilities and detailed design principles of the Wolfram Language, Mathematica creates unique and easy-to-use systems with predictive recommendations, natural language input, and more.
Documentation and code
Mathematica uses the Wolfram notebook interface to let you quickly organize anything in rich documents, including text, runnable code, dynamic graphics, and user interfaces.
The code is readable
Using intuitive, English-like function names and consistent design, the Wolfram Language is easy to read, write, and learn.
Get the most beautiful results
Mathematica uses the most advanced computational aesthetics and design principles to deliver the most beautiful results for you; instantly create the highest level of interactive visualizations and document quality level documentation.
More than 150,000 examples
Get started with any of the more than 150,000 examples in the Reference Center, the nearly 10,000 open source demo projects and other resources on the Wolfram Demonstration Project.
Real-time real-time data
Mathematica has access to the extensive Wolfram Knowledge Base, including the most real-time data from thousands of domains.
Perfect cloud integration
Mathematica is now perfectly integrated into the cloud; it can be shared, clouded, and more in a unified, powerful cloud desktop hybrid environment.
Connect with any content
Mathematica is built to connect to arbitrary content: file formats (more than 180), other languages, Wolfram Data Drop, APIs, databases, programs, IoT and devices, and even their own distribution.
Coverage
Mathematica is based on the groundbreaking Wolfram Language.
Symbolic language mathematical calculation numerical method
Visual algebraic operand theory
Data analysis graphical computing interactive computing
Image calculation geometry calculation import and export
Core Technology
Wolfram Language
The unique knowledge-based symbolic language born out of Mathematica has driven the development of the Mathematica system.
Wolfram Library
The world's largest algorithm integration network, providing profound and built-in features for Mathematica
Wolfram notebook interface
A unique, flexible, document-based interface that lets you mix executable code, richly formatted text, dynamic graphics, and interactive interfaces in Mathematica.
Wolfram Engine
Implement the core software systems of the Wolfram Language and Mathematica; span a wide variety of local and cloud computing environments.
Wolfram Cloud
The architectural technology of Mathematica Online can be run using just one web browser
Wolfram Knowledgebase
Promote Wolfram|Alpha's unique and extensively updated knowledge base and provide computable real-world data for Wolfram products.
Featured Areas in Mathematica 11
Machine learning
Neural Networks
Machine learning
3D printing and geometry
3D printing
Core geometry
Audio, image and signal
Computing audio
Computing photography
Image and signal processing mathematics
Partial Differential Equations
Differential feature system
Symbol and numerical calculus
Algebra and number theory
Visualization and graphics
Visualization: labels, scales, and exclusions
New visualization field
Stereoscopic visualization
Charts and statistics
Diagram and network
Random matrix
Probability and statistical extension
Geography
Enhanced geographic visualization
Geographic calculation
Geographic data
Text and language processing
Text and language processing
Multi-language function
Unit and date
Time series processing
Probability and quantity in statistics
Unit and date
Language and system
Core language
System level function
User interface enhancement
External service
knowledge base
Knowledge base extension
Richer knowledge base access
Cloud
Cloud and web interface
Cloud storage and operations
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