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Home/ Questions/Q 7760529
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Editorial Team
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Editorial Team
Asked: June 1, 20262026-06-01T13:54:45+00:00 2026-06-01T13:54:45+00:00

Inputs: arbitrary logical vectors (~2M elements): i1,i2,…,in arbitrary logical expression: eg. or(and(not(i1),i2),xor(i3,i4)) Output: resulting

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Inputs:

  • arbitrary logical vectors (~2M elements): i1,i2,...,in
  • arbitrary logical expression: eg. "or(and(not(i1),i2),xor(i3,i4))"

Output:

  • resulting logical vector o o=eval("or(and(not(i1),i2),xor(i3,i4))")

Is there any faster way than simulating Matlab’s eval function in MEX function? Would the MEX eval be actually faster than native eval? If yes, how many times?

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  1. Editorial Team
    Editorial Team
    2026-06-01T13:54:46+00:00Added an answer on June 1, 2026 at 1:54 pm

    I’ve implemented eval as a MEX function. I tested it on random expressions of depth 4. My MEX eval is 2x faster than Matlab native eval (15.1s vs 31.4s, 1000 iterations)

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