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Arithmetische Operationen

Addition, Subtraktion, Multiplikation, Division, Potenz, Rundung

Arithmetische Funktionen umfassen Operatoren für einfache Operationen, wie Addition und Multiplikation, sowie Funktionen für gängige Berechnungsvorgänge, wie Summierung, Summenbewegungen, Modulo-Operationen und Rundungen.

Weitere Informationen finden Sie unter Array vs. Matrix Operations.

Funktionen

alle erweitern

Grundlegende Arithmetik

Addition

`+`	Add numbers, append strings
`sum`	Summe von Array-Elementen
`cumsum`	Cumulative sum
`movsum`	Moving sum

Subtraktion

`-`	Subtraction
`diff`	Differences and approximate derivatives

Multiplikation

`.*`	Multiplication
`*`	Matrix multiplication
`prod`	Product of array elements
`cumprod`	Cumulative product
`pagemtimes`	Page-wise matrix multiplication (Seit R2020b)
`tensorprod`	Tensor products between two tensors (Seit R2022a)

Division

`./`	Right array division
`.\`	Left array division
`/`	Solve systems of linear equations xA = B for x
`\`	Solve systems of linear equations Ax = B for x
`pagemldivide`	Page-wise left matrix divide (Seit R2022a)
`pagemrdivide`	Page-wise right matrix divide (Seit R2022a)

Potenzen

`.^`	Element-wise power
`^`	Matrix power

Transponieren

`.'`	Transponieren eines Vektors oder einer Matrix
`'`	Complex conjugate transpose
`pagetranspose`	Page-wise transpose (Seit R2020b)
`pagectranspose`	Page-wise complex conjugate transpose (Seit R2020b)

Array-Vorzeichen

`uminus`	Unary minus
`uplus`	Unary plus

Modulo-Division und Rundung

`mod`	Remainder after division (modulo operation)
`rem`	Remainder after division
`idivide`	Integer division with rounding option
`ceil`	Round toward positive infinity
`fix`	Round toward zero
`floor`	Runden gegen negative Unendlichkeit
`round`	Round to nearest decimal or integer

Benutzerdefinierte Binärfunktionen

bsxfun Apply element-wise operation to two arrays with implicit expansion enabled

Themen

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.
Integers
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.