Single and double precision matlab

In summary, MATLAB uses double precision as its default setting. While there is a way to change the default virtual reality precision to single, this only affects individual variables and not all computations. The only way to ensure all computations are done in single precision is to define all variables as single to begin with.
  • #1
sara_87
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0

Homework Statement



MATLAB uses double precision as default.
How can I change this to single? so that all computations will be made using single precision.

Homework Equations





The Attempt at a Solution


I went to:
file
preferences
virtual reality precision: floating point: single (I changed this from double to single)

However, my computations are still being made in double precision.

I don't want to change a single variable to single precision (this is done using single(A)) I want to change all computations.

thank you.
 
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  • #2
I do not believe there is a way to change the default arithmetic for all operations, as MATLAB variables are indeed double precision by default. Nevertheless, if you define variables to be single precision to begin with, then any operations between them will result in a single precision output.
 
  • #3
oh right i see. thank you.
 
  • #4
I know that's not a comforting answer if you have a large code with lots of variables -- sorry!
 
  • #5


As a scientist, it is important to understand the precision of your calculations and how it may affect your results. In MATLAB, the default precision is double, meaning all computations are performed using double-precision floating-point numbers. This provides a higher level of accuracy compared to single-precision calculations, but it also requires more memory and processing time.

To change the default precision to single, you can go to File > Preferences > General > Floating Point and select "Single" under the "Default Numeric Type" option. This will change the default precision for all computations in your MATLAB session. However, it is important to note that this may affect the accuracy of your results, especially for complex calculations.

Alternatively, you can use the "single" function to convert specific variables or arrays to single precision. This allows you to control the precision for individual calculations without changing the default precision for the entire session. It is recommended to only use single precision when necessary, such as for large datasets or when memory is limited.

In conclusion, changing the default precision to single in MATLAB can be done through the preferences menu, but it is important to understand the potential implications on your calculations and to use single precision only when necessary.
 

FAQ: Single and double precision matlab

What is the difference between single and double precision in matlab?

Single precision in matlab uses 32 bits to represent a floating point number, while double precision uses 64 bits. This means that double precision can store larger numbers and more decimal places than single precision.

When should I use single precision over double precision in matlab?

Single precision is typically used when dealing with large datasets or when computational speed is a priority. Double precision is more accurate for calculations that require a high level of precision, such as scientific simulations or financial modeling.

How do I determine the precision of a variable in matlab?

You can use the class() function in matlab to determine the data type and precision of a variable. If the class is single, the variable is in single precision. If the class is double, the variable is in double precision.

Can I convert a variable from single to double precision in matlab?

Yes, you can use the double() function in matlab to convert a single precision variable to double precision. This will add additional bits to the variable to increase its precision.

Are there any drawbacks to using double precision over single precision in matlab?

Using double precision may result in slower computation times and require more memory compared to single precision. It is important to consider the needs of your specific project and determine which precision is most appropriate for your calculations.

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