cummin

cummin(A, [dim])

Cumulative minimum along a dimension. The dimension defaults to 1.

Examples

  1. Calculate cumulative minimum of a vector:

    julia> v = [3, 1, 5, 2, 4];
julia> cummin(v)
5-element Array{Int64,1}:
3
1
1
1
1

    This example calculates the cumulative minimum of the vector v along the default dimension (dimension 1).

  2. Calculate cumulative minimum of a matrix along rows:

    julia> m = [4 6 3; 2 5 1; 9 7 8];
julia> cummin(m, dims=1)
3×3 Array{Int64,2}:
2  5  1
2  5  1
2  5  1

    It calculates the cumulative minimum of the matrix m along the rows (dimension 1).

  3. Calculate cumulative minimum of a matrix along columns: 
    julia> m = [4 6 3; 2 5 1; 9 7 8];
julia> cummin(m, dims=2)
3×3 Array{Int64,2}:
4  4  3
2  2  1
9  7  7

    It calculates the cumulative minimum of the matrix m along the columns (dimension 2).

Common mistake example:

julia> v = [5, 3, 9];
julia> cummin(v, dims=2)
ERROR: ArgumentError: invalid dimensions for array: 2

In this example, the specified dimension is invalid for a 1-dimensional vector. The cummin function can only operate along existing dimensions of the given array. Make sure to choose a valid dimension when using cummin.

See Also

abs2, beta, binomial, ceil, cell, cross, ctranspose, ctranspose!, cummin, cumprod, cumprod!, cumsum, cumsum!, cumsum_kbn, div, divrem, eigfact, eigfact!, eigmin, eps, erf, erfc, erfcinv, erfcx, erfi, erfinv, exp, exp10, exp2, expm1, exponent, factor, factorial, factorize, floor, gcd, invmod, log, log10, log1p, log2, logspace, max, min, mod, mod1, modf, next, nextpow, nextprod, num, primes, primesmask, prod, realmin, sqrt, sum!, sumabs, sumabs!, sumabs2, sumabs2!,

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