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| Started by | Sam Wormley <swormley1@gmail.com> |
|---|---|
| First post | 2015-10-23 09:39 -0500 |
| Last post | 2015-10-24 18:57 +0000 |
| Articles | 4 — 2 participants |
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New general-purpose optimization algorithm promises order-of-magnitude speedups on some problems Sam Wormley <swormley1@gmail.com> - 2015-10-23 09:39 -0500
Re: New general-purpose optimization algorithm promises order-of-magnitude speedups on some problems jimp@specsol.spam.sux.com - 2015-10-23 18:12 +0000
Re: New general-purpose optimization algorithm promises order-of-magnitude speedups on some problems Sam Wormley <swormley1@gmail.com> - 2015-10-24 10:13 -0500
Re: New general-purpose optimization algorithm promises order-of-magnitude speedups on some problems jimp@specsol.spam.sux.com - 2015-10-24 18:57 +0000
| From | Sam Wormley <swormley1@gmail.com> |
|---|---|
| Date | 2015-10-23 09:39 -0500 |
| Subject | New general-purpose optimization algorithm promises order-of-magnitude speedups on some problems |
| Message-ID | <-radna4ZmdQU27fLnZ2dnUU7-fkAAAAA@giganews.com> |
New general-purpose optimization algorithm promises order-of-magnitude speedups on some problems > http://phys.org/news/2015-10-general-purpose-optimization-algorithm-order-of-magnitude-speedups.html > Optimization problems are everywhere in engineering: Balancing design > tradeoffs is an optimization problem, as are scheduling and > logistical planning. The theory—and sometimes the implementation—of > control systems relies heavily on optimization, and so does machine > learning, which has been the basis of most recent advances in > artificial intelligence. > > This week, at the IEEE Symposium on Foundations of Computer Science, > a trio of present and past MIT graduate students won a > best-student-paper award for a new "cutting-plane" algorithm, a > general-purpose algorithm for solving optimization problems. The > algorithm improves on the running time of its most efficient > predecessor, and the researchers offer some reason to think that they > may have reached the theoretical limit. > > But they also present a new method for applying their general > algorithm to specific problems, which yields huge efficiency > gains—several orders of magnitude. -- sci.physics is an unmoderated newsgroup dedicated to the discussion of physics, news from the physics community, and physics-related social issues.
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| From | jimp@specsol.spam.sux.com |
|---|---|
| Date | 2015-10-23 18:12 +0000 |
| Message-ID | <rs9qfc-da1.ln1@mail.specsol.com> |
| In reply to | #527644 |
Sam Wormley <swormley1@gmail.com> wrote: > New general-purpose optimization algorithm promises order-of-magnitude > speedups on some problems Such as Coke or Pepsi, shit head? Have you ever wondered what your life might have been like if you had the competence to do more than just copy the words of others, spamming piece of shit? -- Jim Pennino
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| From | Sam Wormley <swormley1@gmail.com> |
|---|---|
| Date | 2015-10-24 10:13 -0500 |
| Message-ID | <a7OdnYOTWv-UPbbLnZ2dnUU7-dWdnZ2d@giganews.com> |
| In reply to | #527697 |
On 10/23/15 1:12 PM, jimp@specsol.spam.sux.com wrote: > Such as Coke or Pepsi, shit head? Try no to be so stupid, jimp. BTW--your obsessive compulsive name calling behavior can be helped with these classes, jimp. > http://www.yellowpages.com/rancho-cucamonga-ca/anger-management-classes New general-purpose optimization algorithm promises order- of-magnitude speedups on some problems > http://phys.org/news/2015-10-general-purpose-optimization-algorithm-order-of-magnitude-speedups.html > Optimization problems are everywhere in engineering: Balancing design > tradeoffs is an optimization problem, as are scheduling and > logistical planning. The theory—and sometimes the implementation—of > control systems relies heavily on optimization, and so does machine > learning, which has been the basis of most recent advances in > artificial intelligence. > > This week, at the IEEE Symposium on Foundations of Computer Science, > a trio of present and past MIT graduate students won a > best-student-paper award for a new "cutting-plane" algorithm, a > general-purpose algorithm for solving optimization problems. The > algorithm improves on the running time of its most efficient > predecessor, and the researchers offer some reason to think that they > may have reached the theoretical limit. > > But they also present a new method for applying their general > algorithm to specific problems, which yields huge efficiency > gains—several orders of magnitude. -- sci.physics is an unmoderated newsgroup dedicated to the discussion of physics, news from the physics community, and physics-related social issues.
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| From | jimp@specsol.spam.sux.com |
|---|---|
| Date | 2015-10-24 18:57 +0000 |
| Message-ID | <gt0tfc-k2a.ln1@mail.specsol.com> |
| In reply to | #527894 |
Sam Wormley <swormley1@gmail.com> wrote: Nothing; you would think the cut and paste keys of the shit head's keyboard would be worn out by now. Have you ever wondered what your life might have been like if you had the competence to do more than just copy the words of others, spamming piece of shit? -- Jim Pennino
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