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		<title>StasFomin: Новая страница: «== A Fast and Simple Approximation Algorithm for Positive Linear Programming ==  We introduce a new fast parallel approximation algorithm for Positive Linear Program...»</title>
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		<summary type="html">&lt;p&gt;Новая страница: «== A Fast and Simple Approximation Algorithm for Positive Linear Programming ==  We introduce a new fast parallel approximation algorithm for Positive Linear Program...»&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Новая страница&lt;/b&gt;&lt;/p&gt;&lt;div&gt;== A Fast and Simple Approximation Algorithm for Positive Linear Programming ==&lt;br /&gt;
&lt;br /&gt;
We introduce a new fast parallel approximation algorithm for Positive Linear Programming (PLP), i.e. a special case of Linear Programming in packing/covering form, when the input constraint matrix and the constraint vector consists entirely of nonnegative entries. Our algorithm, which draws from techniques developed in &amp;lt;tt&amp;gt;[LN93]&amp;lt;/tt&amp;gt;, &amp;lt;tt&amp;gt;[BBR97]&amp;lt;/tt&amp;gt;, is simpler than the previous approximation algorithms for positive linear programs and has efficient parallel and sequential implementations. In particular, the time complexity of sequential implementation is &amp;lt;m&amp;gt;O(\frac{mn}{\varepsilon^2}\log^2\frac{mn}{\varepsilon})&amp;lt;/m&amp;gt;, which is the new best upper bound.&lt;br /&gt;
&lt;br /&gt;
The parallel complexity of the algorithm is &amp;lt;m&amp;gt;O(\frac{1}{\varepsilon^4}\log^4\frac{mn}{\varepsilon})&amp;lt;/m&amp;gt;, which is close to the best known bounds.&lt;br /&gt;
&lt;br /&gt;
Our computational experiments show an advantage of our algorithm in the running time over the algorithms in &amp;lt;tt&amp;gt;[GK98]&amp;lt;/tt&amp;gt;, &amp;lt;tt&amp;gt;[BBR97]&amp;lt;/tt&amp;gt; on random input matrices.&lt;br /&gt;
&lt;br /&gt;
=== Publication ===&lt;br /&gt;
&lt;br /&gt;
S.A.Fomin, [http://discopal.ispras.ru/papers/plpapx_conf2000.ps A Fast and Simple Approximation Algorithm for Positive Linear Programming]. (English version of &amp;quot;Novyjj priblizhennyjj algoritm dlja zadachi polozhitel`nogo linejjnogo programmirovanija&amp;quot; Diskretnyjj analiz i issledovanie operacijj. Serija 2. Tom 8. N.2.).&lt;br /&gt;
&lt;br /&gt;
== References == &lt;br /&gt;
;[BBR97]: Yair Bartal, John W. Byers, Danny Raz, Global Optimization Using Local Information with Application to Flow Control, IEEE FOCS 97, 1997, 303-311.&lt;br /&gt;
&lt;br /&gt;
;[GK98]: N. Garg, J. Koenemann, Faster and Simpler Algorithms for Multicommodity Flow and other Fractional Packing Problems, FOCS 98 300-309.&lt;br /&gt;
&lt;br /&gt;
;[LN93]: M. Luby and N. Nisan, A Parallel Approximation Algorithm for Positive Linear Programming, Proc. of 25th ACM STOC, 448-457, 1993.&lt;br /&gt;
&lt;br /&gt;
;[PST92]: Plotkin S., Shmoys D., Tardos E., Fast Approximation Algorithms for Fractional Packing and Covering Problems, Proc. 32nd IEEE FOCS 91, 1991, 495-504.&lt;/div&gt;</summary>
		<author><name>StasFomin</name></author>	</entry>

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