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2. List of open-source software for mathematics - Wikipedia

   en.wikipedia.org/wiki/List_of_open-source...

   After a failure to launch as a product, NAG decided to release it as a free software in 2001 with more than 300 man-years worth of research involved. Axiom is licensed under a Modified BSD license. Cadabra. A Computer Algebra System designed for the solution of problems in field theory.

3. Word problem (mathematics) - Wikipedia

   en.wikipedia.org/wiki/Word_problem_(mathematics)

   Word problem (mathematics) In computational mathematics, a word problem is the problem of deciding whether two given expressions are equivalent with respect to a set of rewriting identities. A prototypical example is the word problem for groups, but there are many other instances as well.

4. Problem solving - Wikipedia

   en.wikipedia.org/wiki/Problem_solving

   Problem solving is the process of achieving a goal by overcoming obstacles, a frequent part of most activities. Problems in need of solutions habit from simple personal tasks (e.g. how to turn on an appliance) to complex issues in business and technical fields. The former is an example of simple problem solving (SPS) addressing one issue ...

5. Symbolab - Wikipedia

   en.wikipedia.org/wiki/Symbolab

   Symbolab. Symbolab is an answer engine [1] that provides step-by-step solutions to mathematical problems in a range of subjects. [2] It was originally developed by Israeli start-up company EqsQuest Ltd., under whom it was released for public use in 2011. In 2020, the company was acquired by American educational technology website Course Hero.

6. Lean (proof assistant) - Wikipedia

   en.wikipedia.org/wiki/Lean_(proof_assistant)

   theorem and_swap (p q: Prop): p ∧ q → q ∧ p:= by intro h-- assume p ∧ q with proof h, the goal is q ∧ p apply And.intro-- the goal is split into two subgoals, one is q and the other is p · exact h.right-- the first subgoal is exactly the right part of h : p ∧ q · exact h.left-- the second subgoal is exactly the left part of h : p ∧ q

7. Mathematical optimization - Wikipedia

   en.wikipedia.org/wiki/Mathematical_optimization

   Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criterion, from some set of available alternatives. [1] [2] It is generally divided into two subfields: discrete optimization and continuous optimization.