Numeric Types in MATLAB

Numeric class in MATLAB includes signed and unsigned integers, single-precision floating-point numbers, and double-precision floating-point numbers. Generally, MATLAB stores all numeric values as double-precision floating-point. But, we can choose to store any number, or, an array of numbers, as integers or, as single precision, for better memory utilization. All numeric types allow basic array operations, such as indexing, etc.

Create Numeric Variables:

Example 1:

% MATLAB code for Numeric Variables
gfg = single([4.4 3.9 6.9]) .* 8.4
gfg = double([4.4 3.9 6.9]) .* 8.4
gfg = int8([4.4 3.9 6.9]) .* 8.4
gfg = int16([4.4 3.9 6.9]) .* 8.4
gfg = int32([4.4 3.9 6.9]) .* 8.4
gfg = int64([4.4 3.9 6.9]) .* 8.4

Output:

gfg = 36.960  32.760   57.960
gfg = 36.960  32.760   57.960
gfg = 34  34  59
gfg = 34  34  59
gfg = 34  34  59
gfg = 34  34  59

Conversion of Numeric Types: 

MATLAB provides the following functions to convert to various numeric data types:

Example 2:

% MATLAB code for conversion of Numeric Types
gfg = int8([-5 5]);
b= cast(gfg, "uint8")            

Output:

Ans: b = 0  5

Example 3:

% MATLAB code for conversion of Numeric Types
gfg = int16(-1)
X = typecast(gfg , 'uint16')

Output:

gfg = -1
X = 65535

Query Type and Value:

MATLAB provides the following data type to check various numeric value:

Example 4:

% MATLAB code for Query Type and Value
gfg = isinteger(4)
g = isfloat(pi)
fg = isreal(2 + 7i)
x = isfinite(1 ./0)
y = isinf(1./0)
z = isnan(0./0)

Output:

gfg = 0
g = 1
fg = 0
x = 0
y = 1
z = 1

Numeric Value Limits:

MATLAB provides the following types to check limits of numeric value:

Example 5:

% MATLAB code for Numeric Value Limits
gfg = flintmax
gfg = intmax
gfg = Inf
gfg = intmin
gfg =NaN
gfg = realmax

Output:

gfg = 9.0072e+15
gfg = 2147483647
gfg = Inf
gfg = -2147483648
gfg = NaN
gfg = 1.7977e+308