[HN Gopher] Encyclopedia of Optimization
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Encyclopedia of Optimization
Author : egorpv
Score : 50 points
Date : 2024-08-13 18:34 UTC (4 days ago)
(HTM) web link (link.springer.com)
(TXT) w3m dump (link.springer.com)
| fnord123 wrote:
| > ebook: 1817.93 eur
|
| Wtaf.
| kardos wrote:
| > Number of Pages
|
| > CCXXXI, 4622
|
| Taf.
| hyperpape wrote:
| That doesn't really explain an 1800EUR price tag. I've bought
| 500-100 page encyclopedias of academic subjects for $40 or
| $50.
|
| Projects like this are built on the work of academics, the
| majority of whom are publicly funded. By and large they
| resent the for-profit publishers who benefit from their work
| and sometimes reduce them to needing to pirate their own
| work.
| StefanBatory wrote:
| May I ask you what these encyclopedias were? Purely out of
| curiosity.
| wakawaka28 wrote:
| This book is like 7 volumes and 4600 pages on very niche
| subject matter. It's high but if you need it, you need it.
| I'm guessing most academics can look up individual papers
| as needed and don't need a comprehensive summary like this,
| as nice as that may be.
| mrdude42 wrote:
| free.99 if you know where to look
| mightysashiman wrote:
| Lucky you. About 2500CHF in Switzerland. Cute.
| JohnKemeny wrote:
| It's not meant to be sold as a book, it's available thru your
| institute's library. The universities pay for them.
| smokel wrote:
| The hardcover version comes in 7 volumes! [1]
|
| Unfortunately the thing is from 2008 and I suppose this kind of
| book doesn't age well.
|
| [1]
| http://titan.princeton.edu/2010-10-11/EoO2/Encyclopedia_Opti...
| wakawaka28 wrote:
| That's not such a long time for math. There have not been so
| many innovations in the field since then IMO. Mainly the
| benchmarks might not be as meaningful, and GPU techniques
| won't be a big part of that book due to its age.
| mattalex wrote:
| 2008 is ancient for optimization!
|
| People have tested old year 2000 lp and milp solvers
| against recent ones while correcting for hardware. Hardware
| improvements made up ~20x improvement, while lp solvers in
| general sped up 180x. MILP solvers speed up a full 1000x
| (Progress in mathematical programming solvers from 2001 to
| 2020).
|
| Solvers from 2008 are entirely different levels of
| performance: there are many problems that are unsolvable by
| those that are solved to zero duality gap in less than a
| second by more modern solvers.
|
| In MINLPs the difference is even more standing. This
| doesn't mean that those books are useless (they are quite
| good), but do not expect a solver based on those techniques
| to even play in the same league as modern solvers.
| wenc wrote:
| This is a book about mathematical optimization, not code
| optimization. It has its place in the world (kinda like an
| engineering handbook), but the field is constantly evolving and
| actively researched (especially in frontiers like global
| optimization and nonlinear nonconvex optimization; linear
| problems are more mature but still moving at a clip, as witnessed
| by the vast improvement in solvers over the years).
|
| The danger of indexing too much on a canon of knowledge in a fast
| evolving field is that you're narrowing your view to a set of
| techniques that don't work so well on modern problems.
|
| Deep learning for instance is a nonconvex optimization problem
| where we have a lot of practical knowledge on how to make it work
| well, but the theoretical knowledge of why it works so well is
| still being developed. This is a case where practice precedes
| theory.
|
| Instead of an encyclopedia, I recommend subscribing to a (free)
| mailing list of pre-prints, Optimization Online.
|
| https://optimization-online.org/
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(page generated 2024-08-17 23:01 UTC)