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Travis Near

Publications and source records attributed to Travis Near.

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An Analysis into the Performance and Memory Usage of MATLAB Strings

MATLAB is a mathematical computing environment used by many engineers, mathematicians, and students to process and understand their data. Important to all data science is the managing of textual data. MATLAB supports two textual data containers: (1) cell arrays of characters and (2) string arrays. This research showcases the strengths of string arrays over cell arrays by quantifying their performance, memory contiguity, syntax readability, interface fluidity, and autocomplete capabilities. These results demonstrate that string arrays often run 2x to 40x faster than cell arrays for common string benchmarks, are optimized for data locality by reducing metadata overhead, and offer a more expressive syntax due to their automatic data type conversions and vectorized methods.

cs.PF

Improving MATLAB's isprime performance without arbitrary-precision arithmetic

MATLAB is a numerical computing platform used by scientists, engineers, mathematicians, and students which contains many mathematical functions, including isprime. MATLAB's isprime function determines which elements of an input array are prime. This research details modular arithmetic techniques, the Miller-Rabin primality test, vectorized operations, and division-minimizing strategies which harness the power of MATLAB's capabilities to improve isprime's performance. The results are typically 5 to 10 times faster for small integers and many hundreds of times faster for large integers and long arrays.

cs.MS