Fast Monte Carlo Algorithms for Matri es III: Computing a Compressed Approximate Matrix De omposition

Fast Monte Carlo Algorithms for Matri es II: Computing a Low-Rank Approximation to a Matrix

Evaluating Performance of Algorithms in Lung IMRT: A Comparison of Monte Carlo, Pencil Beam, Superposition, Fast Superposition and Convolution Algorithms

Background: Inclusion of inhomogeneity corrections in intensity modulated small fields always makes conformal irradiation of lung tumor very complicated in accurate dose delivery.Objective: In the present study, the performance of five algorithms via Monte Carlo, Pencil Beam, Convolution, Fast Superposition and Superposition were evaluated in lung cancer Intensity Modulated Radiotherapy plannin...

Evaluating Quasi-Monte Carlo (QMC) algorithms in blocks decomposition of de-trended

The length of equal minimal and maximal blocks has eected on logarithm-scale logarithm against sequential function on variance and bias of de-trended uctuation analysis, by using Quasi Monte Carlo(QMC) simulation and Cholesky decompositions, minimal block couple and maximal are founded which are minimum the summation of mean error square in Horest power.

Fast Monte-Carlo Algorithms for Approximate Matrix Multipli ation

Áñôöóúúú Óò×øöù Blockinøøóò Óó Îöøø Blockin

Three-Dimensional Arrangements Hayim Shaul S hool of Computer S ien e Tel Aviv University hayim post.tau.a .il Dan Halperin S hool of Computer S ien e Tel Aviv University danha post.tau.a .il ABSTRACT We present new results on erning the re nement of threedimensional arrangements by verti al de ompositions. First, we des ribe a new output-sensitive algorithm for omputing the verti al de omposit...