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In traditional scientific computing, Fortran was considered the most suitable higher programming language for mathematical problems, mostly due to its built-in support for complex numbers and complex arithmetic.
Today, most mainstream general-purpose programming languages are supported by very powerful maths libraries, which include support for complex numbers, matrices and other higher order algebraic or geometric problems, or even calculus.
Therefore, when choosing a general-purpose programming language for solving a mathematical problem, the decision ought to be driven by the availability of a well-reputed mathematic toolkit with all the tools required, and general familiarity with the chosen language.
For higher order mathematic problems, however, the general purpose languages are outperformed by specialist mathematically-minded languages, as are supported with complex mathematical applications such as Mathcad, Mathlab or Mathematica.
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