/sci/ - Science & Math » Thread #13935818

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Anonymous Tue 07 Dec 20:01:08 2021 No.13935818 View Reply Original Report

Quoted By: >>13935892

What are the applications of directional derivatives and Gradients.

Anonymous

Anonymous Tue 07 Dec 2021 20:16:50 No.13935867 Report

Quoted By: >>13936001

nothing happens in the universe without a gradient

Anonymous

Anonymous Tue 07 Dec 2021 20:24:10 No.13935892 Report

Quoted By: >>13936001

>>13935818
"deep learning" is pretty much based on gradients.

Anonymous

Anonymous Tue 07 Dec 2021 20:27:36 No.13935899 Report

Quoted By: >>13936001

Everything in physics and mathematics and computer science

Anonymous

Anonymous Tue 07 Dec 2021 20:55:58 No.13936001 Report

Quoted By: >>13936031 >>13936050

>>13935867
>>13935892
>>13935899
Explain

Anonymous

Anonymous Tue 07 Dec 2021 21:01:37 No.13936031 Report

Quoted By:

>>13936001
Take a physics 101 class. Force is the gradient of potential energy. Work is the line integral of force.
Take a physics 102 class. Maxwell's equations are written entirely in terms of vector calculus.

This is just the tip of the iceberg

Anonymous

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Anonymous Tue 07 Dec 2021 21:06:01 No.13936050 Report

Quoted By:

>>13936001
a gradient measures the direction and amount of a change in energy or energy analog. if there's no change nothing happens.

Anonymous

Anonymous Tue 07 Dec 2021 21:16:54 No.13936100 Report

Quoted By:

The steepes function ascend is to the gradient. Ideal of heat exchange models etc.

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