Willingness to accept: Difference between revisions

From formulasearchengine
Jump to navigation Jump to search
en>Avicennasis
m removed stub tag
 
en>AnomieBOT
m Dating maintenance tags: {{Deadlink}}
Line 1: Line 1:
Everybody, young and old have to adjust their day by day life style due to getting overweight. If you are concerned by shopping, you will likely wish to discover about [http://www.streetfire.net/profile/celebritydummiesxxs.htm celebritydummiesxxs - StreetFire Member in US]. In an try to stem the tide on fat, individuals beginning to find out from their residence or workplace computers for absolute drug for weight loss. They deem that wherever, there are commanding drugs that will resolve all diet program concerns for everybody.<br><br>When our bodies are clean and robust, they are capable to get rid of toxins, but when they turn out to be overloaded, they grow to be lethargic and more vulnerable to sickness. The immune technique also loses the capacity of hostility off attacking viruses that can lead to sickness. Weight loss is a extremely significant pace for people who want to get greater their fitness. A lot of dieters are observing their weight directly than ever just before and are seeking various weight loss aides including weight loss drugs.<br><br>When it comes to weight loss drugs, the best mode to lose weight is to insure your weight loss drugs. Weight loss pills with ingredients that have a history in promoting weight loss must be at the top of your list. A weight loss drug, much better known as Phentermine is 1 of the most popular diet plan drugs recognized to individuals worldwide. It is employed treat obesity.<br><br>Phentermine is a recommended diet pill which rouses the nervous systems, which boosts your heart rate and reduces your craving. My girlfriend learned about [http://www.purevolume.com/musclebuilderqcy/posts/7815699/Medicine+Ball+Training+Course%21 save on] by browsing the Dallas Sun. We learned about [http://social.xfire.com/blog/tipspreventsmc Xfire - Gaming Simplified] by searching Google Books. This diet program drug is extremely comparable to other diet plan pills that are utilized as a short-term enhancement to diet plan and workout in the remedy of fatness.<br><br>Phentermine is an addictive diet plan drug which can be abused abused to the point that it could lead to solemn fitness conquences could happen if utilized improperly. A diet program drug, no matter what elements it may enclose have a single worldwide assert: to help you lose weight. Despite the fact that, each and every diet program drug been sold to folks across the globe cant be employed by every person, theres a single product that will satisfy every person ultimately..<br><br>If you have any questions relating to where and just how to use womens health magazine ([http://www.scribd.com/raggedsavior6301 the full report]), you could contact us at our own web-page.
'''Alan M. Frieze''' (born 25 October 1945 in [[London, England]]) is a [[professor]] in the Department of Mathematical Sciences at [[Carnegie Mellon University]], [[Pittsburgh]], [[United States]]. He graduated from the [[University of Oxford]] in 1966, and obtained his PhD from the [[University of London]] in 1975. His research interests lie in [[combinatorics]], [[discrete optimization]] and [[theoretical computer science]]. Currently, he focuses on the probabilistic aspects of these areas; in particular, the study of the asymptotic properties of [[random graphs]], the average case analysis of algorithms, and [[randomized algorithms]]. His recent work has included [[approximate counting]] and volume computation via [[random walks]]; finding edge disjoint paths in [[expander graphs]], and exploring [[anti-Ramsey theory]] and the stability of [[routing algorithms]].
 
==Key contributions==
 
Two key contributions made by Alan Frieze are:
 
(1) polynomial time algorithm for approximating the volume of [[convex bodies]]
 
(2) algorithmic version for [[Szemerédi regularity lemma]]
 
Both these algorithms will be described briefly here.
 
===Polynomial time algorithm for approximating the volume of convex bodies===
 
The paper
<ref name=JACM91>
{{cite news
|author= M.Dyer, A.Frieze and R.Kannan
|title=A random polynomial-time algorithm for approximating the volume of convex bodies
|journal= Journal of the ACM
|volume = 38
|number =1
|pages =1&ndash;17
|year= 1991
|url=http://portal.acm.org/citation.cfm?id=102783}}
</ref>  
is a joint work by [[Martin Dyer]], Alan Frieze and [[Ravindran Kannan]].
 
The main result of the paper is a randomized algorithm for finding an <math>\epsilon</math> approximation to the volume of a convex body <math>K</math> in <math>n</math>-dimensional Euclidean space by assume the existence of a membership oracle. The algorithm takes time bounded by a polynomial in <math>n</math>, the dimension of <math>K</math> and <math>1/\epsilon</math>.
 
The algorithm is a sophisticated usage of the so-called [[Markov Chain Monte Carlo]] (MCMC) method.
The basic scheme of the algorithm is a nearly uniform sampling from within <math>K</math> by placing a grid consisting ''n''-dimensional cubes and doing a random walk over these cubes. By using the theory of
[[Markov chain mixing time|rapidly mixing Markov chains]], they show that it takes a polynomial time for the random walk to settle down to being a nearly uniform distribution.
 
===Algorithmic version for Szemerédi regularity partition===
 
This paper
<ref>
{{cite news
|author= A.Frieze and R.Kannan
|title=A Simple Algorithm for Constructing Szemere'di's Regularity Partition
|journal= Electr. J. Comb.
|volume = 6
|year= 1999
|url=http://www.math.cmu.edu/~af1p/Texfiles/svreg.pdf}}
</ref>
is a combined work by Alan Frieze and [[Ravindran Kannan]]. They use two lemmas to derive the algorithmic version of the [[Szemerédi regularity lemma]] to find an <math>\epsilon</math>-regular partition.
 
<br />'''Lemma 1:''' <br />Fix k and <math>\gamma</math> and let <math>G=(V,E)</math> be a graph with <math>n</math> vertices. Let <math>P</math> be an equitable partition of <math>V</math> in classes <math>V_0, V_1, \ldots ,V_k</math>. Assume <math>|V_1| > 4^{2k}</math> and <math>4^k >600 \gamma ^2</math>. Given proofs that more than <math>\gamma k^2</math> pairs <math>(V_r,V_s)</math> are not <math>\gamma</math>-regular, it is possible to find in O(n) time an equitable partition <math>P'</math> (which is a refinement of <math>P</math>) into <math>1+k4^k</math> classes, with an exceptional class of cardinality at most <math>|V_0|+n/4^k</math> and such that <math>\operatorname{ind}(P')\geq \operatorname{ind}(P) + \gamma^5/20</math>
 
<br />'''Lemma 2:''' <br />Let <math>W</math> be a <math>R \times C</math> matrix with <math>|R|=p</math>, <math>|C|=q</math> and <math>\|W\|_\inf\leq1</math> and <math>\gamma</math> be a positive real.
<br />(a) If there exist <math>S \subseteq R</math>, <math>T \subseteq C</math> such that <math>|S|\geq\gamma p</math>, <math>|T|\geq\gamma q</math> and <math>|W(S,T)|\geq\gamma |S||T|</math> then <math>\sigma_1(W)\geq\gamma^3\sqrt{pq}</math>
<br />(b) If <math>\sigma_1(W)\geq\gamma\sqrt{pq}</math>, then there exist <math>S\subseteq R</math>, <math>T\subseteq C</math> such that <math>|S|\geq\gamma'p</math>, <math>|T|\geq\gamma'q</math> and <math>W(S,T)\geq\gamma'|S||T|</math> where <math>\gamma'=\gamma^3/108</math>. Furthermore <math>S</math>, <math>T</math> can be constructed in polynomial time.
 
<br />These two lemmas are combined in the following algorithmic construction of the [[Szemerédi regularity lemma]].
 
<br />'''[Step 1]''' Arbitrarily divide the vertices of <math>G</math> into an equitable partition <math>P_1</math> with classes <math>V_0,V_1,\ldots,V_b</math> where <math>|V_i|\lfloor n/b \rfloor</math> and hence <math>|V_0|<b</math>. denote <math>k_1=b</math>.
<br />'''[Step 2]''' For every pair <math>(V_r,V_s)</math> of <math>P_i</math>, compute <math>\sigma_1(W_{r,s})</math>. If the pair <math>(V_r,V_s)</math> are not <math>\epsilon-</math>regular then by Lemma 2 we obtain a proof that they are not <math>\gamma=\epsilon^9/108-</math>regular.
<br />'''[Step 3]''' If there are at most <math>\epsilon
\left(
  \begin{array}{c}
    k_1\\
    2 \\
  \end{array}
\right)</math> pairs that produce proofs of non <math>\gamma-</math>regularity that halt. <math>P_i</math> is <math>\epsilon-</math>regular.
<br />'''[Step 4]''' Apply Lemma 1 where <math>P=P_i</math>, <math>k=k_i</math>, <math>\gamma=\epsilon^9/108</math> and obtain <math>P'</math> with <math>1+k_i4^{k_i}</math> classes
<br />'''[Step 5]''' Let <math>k_i+1 = k_i4^{k_i}</math>, <math>P_i+1=P'</math>, <math>i=i+1</math> and go to Step 2.
 
==Awards and honors==
In 1991, Frieze received the [[Fulkerson Prize]] in Discrete Mathematics (Jointly with Martin Dyer and Ravi Kannan for the paper "A random polynomial time algorithm for approximating the volume of convex bodies" in the Journal of the Association for Computing Machinery) awarded by the American Mathematical Society and the Mathematical Programming Society.
In 1997 he was a Guggenheim Fellow
In 2000, he received the IBM Faculty Partnership Award
In 2006 he jointly received (with [[Michael Krivelevich]]) the Professor Pazy Memorial Research Award from the United States-Israel Binational Science Foundation.
In 2011 he was selected as a SIAM Fellow.
In 2012 he was selected as an AMS fellow.<ref>[http://www.ams.org/profession/fellows-list List of Fellows of the American Mathematical Society], retrieved 2012-12-29.</ref>
 
==References and external links==
<references/>
* [http://www.math.cmu.edu/~af1p/index.html Alan Frieze's web page]
* [http://www.math.cmu.edu/~af1p/Texfiles/oldvolume.pdf Fulkerson prize-winning paper]
* [http://www.cs.cmu.edu/~cfrieze/index.html Carol Frieze's web page]
* [http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/f/Frieze:Alan_M=.html Alan Frieze's publications at DBLP]
* [https://tspace.library.utoronto.ca/browse?type=author&order=ASC&rpp=20&value=Frieze%2C+A. Certain self-archived works are available here]
 
{{Persondata <!-- Metadata: see [[Wikipedia:Persondata]]. -->
| NAME              =Frieze, Alan
| ALTERNATIVE NAMES =
| SHORT DESCRIPTION = British mathematician
| DATE OF BIRTH    =25 October 1945
| PLACE OF BIRTH    =
| DATE OF DEATH    =
| PLACE OF DEATH    =
}}
{{DEFAULTSORT:Frieze, Alan}}
[[Category:English mathematicians]]
[[Category:Living people]]
[[Category:Carnegie Mellon University faculty]]
[[Category:Theoretical computer scientists]]
[[Category:Fellows of the American Mathematical Society]]
[[Category:1945 births]]
[[Category:Guggenheim Fellows]]

Revision as of 17:17, 3 October 2013

Alan M. Frieze (born 25 October 1945 in London, England) is a professor in the Department of Mathematical Sciences at Carnegie Mellon University, Pittsburgh, United States. He graduated from the University of Oxford in 1966, and obtained his PhD from the University of London in 1975. His research interests lie in combinatorics, discrete optimization and theoretical computer science. Currently, he focuses on the probabilistic aspects of these areas; in particular, the study of the asymptotic properties of random graphs, the average case analysis of algorithms, and randomized algorithms. His recent work has included approximate counting and volume computation via random walks; finding edge disjoint paths in expander graphs, and exploring anti-Ramsey theory and the stability of routing algorithms.

Key contributions

Two key contributions made by Alan Frieze are:

(1) polynomial time algorithm for approximating the volume of convex bodies

(2) algorithmic version for Szemerédi regularity lemma

Both these algorithms will be described briefly here.

Polynomial time algorithm for approximating the volume of convex bodies

The paper [1] is a joint work by Martin Dyer, Alan Frieze and Ravindran Kannan.

The main result of the paper is a randomized algorithm for finding an ϵ approximation to the volume of a convex body K in n-dimensional Euclidean space by assume the existence of a membership oracle. The algorithm takes time bounded by a polynomial in n, the dimension of K and 1/ϵ.

The algorithm is a sophisticated usage of the so-called Markov Chain Monte Carlo (MCMC) method. The basic scheme of the algorithm is a nearly uniform sampling from within K by placing a grid consisting n-dimensional cubes and doing a random walk over these cubes. By using the theory of rapidly mixing Markov chains, they show that it takes a polynomial time for the random walk to settle down to being a nearly uniform distribution.

Algorithmic version for Szemerédi regularity partition

This paper [2] is a combined work by Alan Frieze and Ravindran Kannan. They use two lemmas to derive the algorithmic version of the Szemerédi regularity lemma to find an ϵ-regular partition.


Lemma 1:
Fix k and γ and let G=(V,E) be a graph with n vertices. Let P be an equitable partition of V in classes V0,V1,,Vk. Assume |V1|>42k and 4k>600γ2. Given proofs that more than γk2 pairs (Vr,Vs) are not γ-regular, it is possible to find in O(n) time an equitable partition P (which is a refinement of P) into 1+k4k classes, with an exceptional class of cardinality at most |V0|+n/4k and such that ind(P)ind(P)+γ5/20


Lemma 2:
Let W be a R×C matrix with |R|=p, |C|=q and Winf1 and γ be a positive real.
(a) If there exist SR, TC such that |S|γp, |T|γq and |W(S,T)|γ|S||T| then σ1(W)γ3pq
(b) If σ1(W)γpq, then there exist SR, TC such that |S|γp, |T|γq and W(S,T)γ|S||T| where γ=γ3/108. Furthermore S, T can be constructed in polynomial time.


These two lemmas are combined in the following algorithmic construction of the Szemerédi regularity lemma.


[Step 1] Arbitrarily divide the vertices of G into an equitable partition P1 with classes V0,V1,,Vb where |Vi|n/b and hence |V0|<b. denote k1=b.
[Step 2] For every pair (Vr,Vs) of Pi, compute σ1(Wr,s). If the pair (Vr,Vs) are not ϵregular then by Lemma 2 we obtain a proof that they are not γ=ϵ9/108regular.
[Step 3] If there are at most ϵ(k12) pairs that produce proofs of non γregularity that halt. Pi is ϵregular.
[Step 4] Apply Lemma 1 where P=Pi, k=ki, γ=ϵ9/108 and obtain P with 1+ki4ki classes
[Step 5] Let ki+1=ki4ki, Pi+1=P, i=i+1 and go to Step 2.

Awards and honors

In 1991, Frieze received the Fulkerson Prize in Discrete Mathematics (Jointly with Martin Dyer and Ravi Kannan for the paper "A random polynomial time algorithm for approximating the volume of convex bodies" in the Journal of the Association for Computing Machinery) awarded by the American Mathematical Society and the Mathematical Programming Society. In 1997 he was a Guggenheim Fellow In 2000, he received the IBM Faculty Partnership Award In 2006 he jointly received (with Michael Krivelevich) the Professor Pazy Memorial Research Award from the United States-Israel Binational Science Foundation. In 2011 he was selected as a SIAM Fellow. In 2012 he was selected as an AMS fellow.[3]

References and external links

Template:Persondata