Mad is a domain-specific language designed for high-performance numerical computing. It facilitates the development of mathematical algorithms by providing constructs and abstractions tailored to numerical operations, enabling efficient execution on various hardware architectures.
About Mad
Mad, short for Michigan Algorithm Decoder, was created in the late 1950s at the University of Michigan. It was developed to simplify the process of writing and debugging scientific and engineering applications. The language aimed to provide an efficient and user-friendly environment for numerical computations, addressing the needs of researchers and engineers at the time.
Mad's strengths included its ease of use for numerical computations, efficient execution, and strong debugging capabilities. Its weaknesses were limited flexibility compared to more general-purpose languages and a smaller user community. Competitors included Fortran and ALGOL, which offered broader functionality and wider adoption in the scientific computing field.
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How to hire a Mad expert
A Mad expert must have strong proficiency in numerical computing, a deep understanding of the Michigan Algorithm Decoder language syntax and semantics, and experience with debugging and optimizing mathematical algorithms. Familiarity with hardware architectures that support Mad's execution is also essential.
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USA
$ 224K
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$ 127K
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$ 97K
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