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MathFlow Use Cases

MathFlow tools and components work together in many ways to add math support to today's important application architectures.

Web collaboration

MathFlow editing components integrate flexibly with browser-based widgets such as HTML editors to create math-enabled web applications. MathFlow server-side typesetting and image composition components provide the necessary backend functionality. Some popular examples include:

  • math-enabled blogs, wikis, whiteboards, message boards, and forums
  • online assessment authoring and delivery
  • live tutoring, virtual classroom, and homework help applications
  • web meeting, instant messaging, and chat applications

Web publishing

When coordination between many authors is required, web-based workflows are a good solution. Distributed authoring solutions, such as MathFlow for XMetaL ActiveX, as well as custom solutions built using MathFlow components enable contributors across an enterprise to access backend content management and composition systems. Common examples include:

  • elearning authoring tools, editorial, and production workflows
  • technical documentation, training, and help authoring
  • accessible content production and delivery

Desktop publishing

MathFlow tools and components integrate with leading desktop document editors such as Arbortext and XMetaL to support traditional publishing workflows. MathFlow components can easily be integrated with most other document editors and composition systems as well. Some of the contexts where desktop-based workflows excel are:

  • editorial and production workflows for journals, textbooks, and ebooks
  • prepress editorial and production services
  • production of technical documentation, training manuals, and help systems

Integrated desktop applications

Using MathFlow component APIs, math support can be tightly integrated into applications. Equation editing and typesetting become a seamless part of the application's user interface. Low-level integration of this kind is particularly popular for scientific and educational applications:

  • educational systems: flashcards, tutoring, teaching, scientific visualization
  • scientific analysis, calculation, graphing, and simulation
  • mainstream word processing and presentation apps that target education, science, and technology
  • content conversion software and services
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