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Opérations arithmétiques

Addition, soustraction, multiplication, division, puissance, arrondi

Les fonctions arithmétiques comprennent des opérateurs permettant des opérations simples comme l’addition et la multiplication ainsi que des fonctions destinées à des calculs courants comme la somme, la somme glissante, les opérations modulo et l’arrondi.

Pour plus d’informations, consultez Array vs. Matrix Operations.

Fonctions

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Arithmétique de base

Addition

`+`	Add numbers, append strings
`sum`	Sum of array elements
`cumsum`	Cumulative sum
`movsum`	Moving sum

Soustraction

`-`	Subtraction
`diff`	Differences and approximate derivatives

Multiplication

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

Puissances

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

Transposée

`.'`	Transposer un vecteur ou une matrice
`'`	Complex conjugate transpose
`pagetranspose`	Page-wise transpose (depuis R2020b)
`pagectranspose`	Page-wise complex conjugate transpose (depuis R2020b)

Signe dans un tableau

`uminus`	Unary minus
`uplus`	Unary plus

Division modulo et arrondi

`mod`	Reste d’une division (opération modulo)
`rem`	Remainder after division
`idivide`	Integer division with rounding option
`ceil`	Round toward positive infinity
`fix`	Round toward zero
`floor`	Arrondir vers l’infini négatif
`round`	Round to nearest decimal or integer

Fonctions binaires personnalisées

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

Rubriques

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.