|
|
Sold Out
Book Categories |
Contents: Introduction.- Deterministic Error Bounds.- Error Bounds for Monte Carlo Methods.- Average Error Bounds.- Appendix: Existence and Uniqueness of Optimal Algorithms.- Bibliography.- Notations.- Index.
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Ernest Fontaine
reviewed Deterministic and Stochastic Error Bounds in Numerical Analysis on March 06, 2016
Deterministic and Stochastic Error Bounds in Numerical Analysis
I normally don't do this, but I'm going to copy/paste this review across three separate books: Chaitin's "The Unknowable", "The Limits of Mathematics", and "Exploring Randomness".
All three are all thin, overpriced, but very approachable books on Algorithmic Information Theory. Themes include:
- Undecidability, as the basis of formulating a new kind of randomness measure for numbers that have already been generated (not just restricting randomness measures to the processes that generate numbers).
- Chaitin's Omega constant, which is the probability that universal Turning machine will halt on random input. This constant is "maximally unknowable", but that doesn't stop one from performing math with it.
- Philosophy surrounding these topics.
One might underestimate Kolmogorov's contributions, given how ridiculously self-promoting Chaitin has been with this AIT. However, the topics are interesting enough that he's easy to forgive. And he uses many code demonstrations (LISP) to make concrete examples out of the math.
Login|Complaints|Blog|Games|Digital Media|Souls|Obituary|Contact Us|FAQ
CAN'T FIND WHAT YOU'RE LOOKING FOR? CLICK HERE!!! X
You must be logged in to add to WishlistX
This item is in your Wish List
X
This item is in your Collection
Deterministic and Stochastic Error Bounds in Numerical Analysis
X
This Item is in Your Inventory
Deterministic and Stochastic Error Bounds in Numerical Analysis
X
You must be logged in to review the productsX
X
X
Add Deterministic and Stochastic Error Bounds in Numerical Analysis, In these notes different deterministic and shastic error bounds of numerical analysis are investigated. For many computational problems we have only partial information (such as n function values) and consequently they can only be solved with uncertainty , Deterministic and Stochastic Error Bounds in Numerical Analysis to the inventory that you are selling on WonderClubX
X
Add Deterministic and Stochastic Error Bounds in Numerical Analysis, In these notes different deterministic and shastic error bounds of numerical analysis are investigated. For many computational problems we have only partial information (such as n function values) and consequently they can only be solved with uncertainty , Deterministic and Stochastic Error Bounds in Numerical Analysis to your collection on WonderClub |