Find the cumulative product of the integers from1to5. The elementB(2)is the product ofA(1)andA(2), whileB(5)is the product of elementsA(1)throughA(5).

A = 1:5; B = cumprod(A)

B =1×51 2 6 24 120

Define a 3-by-3 matrix whose elements correspond to their linear indices.

A = [1 4 7; 2 5 8; 3 6 9]

A =3×31 4 7 2 5 8 3 6 9

Find the cumulative product of the columns ofA. The elementB(5)is the product ofA(4)andA(5), whileB(9)is the product ofA(7),A(8), andA(9).

B = cumprod(A)

B =3×31 4 7 2 20 56 6 120 504

Define a 2-by-3 matrix whose elements correspond to their linear indices.

A = [1 3 5; 2 4 6]

A =2×31 3 5 2 4 6

Find the cumulative product of the rows ofA. The elementB(3)is the product ofA(1)andA(3), whileB(5)is the product ofA(1),A(3), andA(5).

B = cumprod(A,2)

B =2×31 3 15 2 8 48

Create an array of logical values.

A = [true false true; true true false]

A =2x3 logical array1 0 1 1 1 0

Find the cumulative product of the rows ofA.

B = cumprod(A,2)

B =2×31 0 0 1 1 0

The output has typedouble.

class(B)

ans = 'double'

Create a 3-by-3 matrix of random integers between 1 and 10.

rngdefault; A = randi([1,10],3)

A =3×39 10 3 10 7 6 2 1 10

Calculate the cumulative product along the columns. Specify the“反向”option to work from bottom to top in each column. The result is the same size asA.

B = cumprod(A,“反向”)

B =3×3180 70 180 20 7 60 2 1 10

Create a vector containingNaNvalues and compute the cumulative products. By default,cumprodincludesNaNvalues. When you includeNaNvalues in the calculation, the cumulative product becomesNaNas soon as the firstNaNvalue inAis encountered.

A = [1 3 NaN 2 4 NaN]; B = cumprod(A)

B =1×61 3 NaN NaN NaN NaN

IgnoreNaNvalues in the cumulative product calculation using the'omitnan'option.

B = cumprod(A,'omitnan')

B =1×61 3 3 6 24 24