Maple

Maple

Maple is a proprietary computer algebra system used for mathematical computation. It offers capabilities for algebraic manipulation, calculus operations, visualization tools, and more. Maple is commonly used in academia and research for solving complex mathematical problems.
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math algebra calculus visualization academic research

Maple: Proprietary Computer Algebra System

Maple offers capabilities for algebraic manipulation, calculus operations, visualization tools, and more. Used in academia and research for solving complex mathematical problems.

What is Maple?

Maple is a proprietary computer algebra system or CAS designed for mathematical computation and modeling. It was first developed in 1980 by the Symbolic Computation Group at the University of Waterloo in Canada.

Some of the key capabilities Maple offers include:

  • Algebraic manipulation - simplify expressions, solve equations, factor polynomials, compute limits, and more
  • Calculus operations - symbolic and numerical differentiation and integration, series expansions, transforms
  • Visualization tools - 2D and 3D plotting, animations
  • Programming language - Maple has its own Maple Programming Language (MPL) based on procedural programming
  • Code generation - Ability to autogenerate code in languages like C, Fortran, Java
  • Numeric computation - Arbitrary precision numeric calculations
  • Modeling and simulation tools
  • Document creation features

Maple is commonly used in mathematics education and research at universities for solving complex mathematical problems. It features powerful computational algorithms and visualization capabilities to gain mathematical insight. Maple also sees some use in the financial and engineering industries. It is proprietary software developed by Maplesoft.

Maple Features

Features

  1. Symbolic computation
  2. Numeric computation
  3. Visualization and animation
  4. Documentation tools
  5. Connectivity with other applications

Pricing

  • Subscription-Based

Pros

Powerful symbolic and numeric capabilities

Intuitive graphical interface

Extensive function library

Can handle complex computations

Wide range of visualization tools

Cons

Expensive licensing model

Steep learning curve

Not ideal for statistical analysis

Limited compatibility with Excel and MATLAB


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