What is the inplace version of a b in julia

When working with Julia, it is often necessary to perform operations on variables in place, without creating new variables or allocating additional memory. In the case of the operation “a b”, the inplace version would modify the value of variable “a” directly, without creating a new variable to store the result.

Option 1: Using the dot syntax

Julia provides a convenient syntax for performing inplace operations using the dot syntax. To perform the operation “a b” inplace, you can simply write:


a .= a .* b

This code uses the dot syntax to apply the element-wise multiplication operator to the arrays “a” and “b”, and assigns the result back to “a”. The dot syntax tells Julia to perform the operation element-wise, rather than on the entire array.

Option 2: Using the in-place function

If you prefer a more explicit approach, you can use the in-place function to perform the operation “a b” inplace. The in-place function modifies the value of the first argument directly, without creating a new variable.


mul!(a, b)

This code calls the in-place function “mul!” with the arguments “a” and “b”. The “mul!” function performs the element-wise multiplication of the arrays and assigns the result back to “a”.

Option 3: Using the @. macro

If you want to apply inplace operations to multiple expressions at once, you can use the @. macro. The @. macro automatically applies the dot syntax to all expressions within its scope.


@. a = a * b

This code uses the @. macro to apply the dot syntax to the expression “a * b”, and assigns the result back to “a”. The @. macro simplifies the syntax when performing inplace operations on multiple expressions.

Among the three options, the best choice depends on personal preference and the specific use case. The dot syntax is the most concise and idiomatic way to perform inplace operations in Julia. However, the in-place function and the @. macro provide more explicit control and flexibility. It is recommended to choose the option that best suits your coding style and the requirements of your project.

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