Strictly this problem is about finding the largest floating-point number that MATLAB can handle _natively_, i.e. with _dedicated_, _built-in_ commands. Besides ad hoc workarounds, it is also possible to use Java objects to compute with arbitrarily large numbers. Cf. https://www.mathworks.com/matlabcentral/cody/problems/1833
Replace NaNs with the number that appears to its left in the row.
06 - Matrix Equations 2
Matlab Basics II - Intervals
Back to basics 18 - justification
Back to basics 20 - singleton dimensions
Back to basics 8 - Matrix Diagonals
Convert Hard Drive marketing sizes to actual data sizes
Back to basics 15 - Benchmark
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