The example of LWE is marvelous however. Bit heavy on the rounded Gaussian maybe (which didn't feel like it was important enough to take up 1/3 of the entire lecture), but overall easy to grasp. Thanks for publishing this to youtube as well.
This has to be the most confusing explanation of Gaussian elemination I've ever seen. For example in slide 4:28 what are the indices here? In step 1 they are (column, row), but in step 3 they're suddenly rows? This is one of the extremely few instances were Wikipedia is actually way more understandable than some introductory video. At around 6:13 you reduce row 1 by subtracting row's 2 coefficients from it twice, but how does that result in -2 when the residue class is already at 0 at that point?
The example of LWE is marvelous however. Bit heavy on the rounded Gaussian maybe (which didn't feel like it was important enough to take up 1/3 of the entire lecture), but overall easy to grasp.
Thanks for publishing this to youtube as well.
Thank you for ur awesome video. I only wish u added an example of asymmetric lwe in the end. Im a bit lost.
This has to be the most confusing explanation of Gaussian elemination I've ever seen. For example in slide 4:28 what are the indices here? In step 1 they are (column, row), but in step 3 they're suddenly rows? This is one of the extremely few instances were Wikipedia is actually way more understandable than some introductory video.
At around 6:13 you reduce row 1 by subtracting row's 2 coefficients from it twice, but how does that result in -2 when the residue class is already at 0 at that point?