Here's your template!

@today automatically stamps your notes with today's date. Fill in the topic of the lecture or class. Then use the Cornell Notes structure below. Click the + New Notes button above to automatically generate a fresh set of notes in this format.

Date: October 5, 2019

Topic:

Recall

Error Sources of Approximations

Classifying Error

Conditioning, Stability and Accuracy

Accuracy

Notes

Forward and Backward error

https://s3-us-west-2.amazonaws.com/secure.notion-static.com/650840d7-31ec-4603-8066-7b55a63e88bb/Screen_Shot_2021-04-14_at_1.31.18_PM.png

https://s3-us-west-2.amazonaws.com/secure.notion-static.com/38447496-95e7-41c0-adac-eef658b95207/Screen_Shot_2021-04-14_at_1.31.56_PM.png

https://s3-us-west-2.amazonaws.com/secure.notion-static.com/db848a31-1b24-4309-bef5-fe5029ab4945/Screen_Shot_2021-04-14_at_1.34.00_PM.png

https://s3-us-west-2.amazonaws.com/secure.notion-static.com/0d43090a-1c51-4ba1-9951-69bfdc121575/Screen_Shot_2021-04-14_at_1.34.25_PM.png

https://s3-us-west-2.amazonaws.com/secure.notion-static.com/81c93bb2-c450-4626-920d-ece8222e45b3/Screen_Shot_2021-04-14_at_1.36.49_PM.png

insensitive (well-conditioned) and sensitive (poorly-conditioned)

https://s3-us-west-2.amazonaws.com/secure.notion-static.com/912857db-e5f3-4f69-8d10-8592c47b127d/Screen_Shot_2021-04-14_at_1.38.24_PM.png

https://s3-us-west-2.amazonaws.com/secure.notion-static.com/71bbad6d-0659-4a86-949c-f8136f59d936/Screen_Shot_2021-04-14_at_1.38.36_PM.png

https://s3-us-west-2.amazonaws.com/secure.notion-static.com/43a4f03d-96cd-43d2-bc3d-8076b7d3492f/Screen_Shot_2021-04-14_at_1.39.21_PM.png

condition number: a measure of a problem's sensitivity.

https://s3-us-west-2.amazonaws.com/secure.notion-static.com/d89905da-c1df-4021-9b4f-69abef9b9b4c/Screen_Shot_2021-04-14_at_1.41.15_PM.png

Example: Root-finding (求根)

https://s3-us-west-2.amazonaws.com/secure.notion-static.com/f3c6fa34-d0d9-4dde-b4ce-696517beafe7/Screen_Shot_2021-04-14_at_1.43.03_PM.png

Forward and backward error are measures of the accuracy of a solution.

For the sake of scientific repeatability, we also wish to derive stable algorithms that produce self-consistent solutions to a class of problems.

<aside> 📌 SUMMARY:

</aside>