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Addition, subtraction, multiplication, division, power, rounding


plus Addition
uplus Unary plus
minus Subtraction
uminus Unary minus
times Element-wise multiplication
rdivide Right array division
ldivide Left array division
power Element-wise power
mtimes Matrix Multiplication
mrdivide Solve systems of linear equations xA = B for x
mldivide Solve systems of linear equations Ax = B for x
mpower Matrix power
cumprod Cumulative product
cumsum Cumulative sum
diff Differences and Approximate Derivatives
movsum Moving sum
prod Product of array elements
sum Sum of array elements
ceil Round toward positive infinity
fix Round toward zero
floor Round toward negative infinity
idivide Integer division with rounding option
mod Remainder after division (modulo operation)
rem Remainder after division
round Round to nearest decimal or integer
bsxfun Apply element-wise operation to two arrays with implicit expansion enabled


Array vs. Matrix Operations

Matrix operations follow the rules of linear algebra, and array operations execute element by element operations and support multidimensional arrays. The period character (.) distinguishes the array operations from the matrix operations.

Compatible Array Sizes for Basic Operations

Most binary operators and functions in MATLAB® support numeric arrays that have compatible sizes. Two inputs have compatible sizes if, for every dimension, the dimension sizes of the inputs are either the same or one of them is 1.

Operator Precedence

Precedence rules determine the order in which MATLAB evaluates an expression.

Floating-Point Numbers

MATLAB represents floating-point numbers in either double-precision or single-precision format. The default is double precision.


MATLAB supports 1-, 2-, 4-, and 8-byte storage for integer data. If you use the smallest integer type that accommodates your data, you can save memory and program execution time.

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