02891nam a22003495a 4500001001100000003001200011005001700023006001900040007001500059008004100074020001800115024002100133040001400154072001600168084001500184100002700199245015200226260008200378300003400460336002600494337002600520338003600546347002400582490004000606506006600646520163300712650003102345650002802376700003602404856003202440856006902472159-121029CH-001817-320121029234500.0a fot ||| 0|cr nn mmmmamaa121029e20121029sz fot ||| 0|eng d a978303719616870a10.4171/1162doi ach0018173 7aPBS2bicssc a65-xx2msc1 aNovak, Erich,eauthor.10aTractability of Multivariate Problemsh[electronic resource] :bVolume III: Standard Information for Operators /cErich Novak, Henryk Woźniakowski3 aZuerich, Switzerland :bEuropean Mathematical Society Publishing House,c2012 a1 online resource (604 pages) atextbtxt2rdacontent acomputerbc2rdamedia aonline resourcebcr2rdacarrier atext filebPDF2rda0 aEMS Tracts in Mathematics (ETM)v181 aRestricted to subscribers:uhttps://www.ems-ph.org/ebooks.php aThis three-volume set is a comprehensive study of the tractability of multivariate problems. Volume I covers algorithms using linear information consisting of arbitrary continuous linear functionals. Volumes II and III are devoted to algorithms using standard information consisting of function values. Approximation of linear and selected nonlinear functionals is dealt with in volume II, and linear and selected nonlinear operators are studied in volume III. To a large extent, volume III can be read independently of volumes I and II.
The most important example studied in volume III is the approximation of multivariate functions. It turns out that many other linear and some nonlinear problems are closely related to the approximation of multivariate functions. While the lower bounds obtained in volume I for the class of linear information also yield lower bounds for the standard class of function values, new techniques for upper bounds are presented in volume III. One of the main issues here is to verify when the power of standard information is nearly the same as the power of linear information. In particular, for the approximation problem defined over Hilbert spaces, the power of standard and linear information is the same in the randomized and average case (with Gaussian measures) settings, whereas in the worst case setting this is not true.
The book is of interest to researchers working in computational mathematics, especially in approximation of high-dimensiona problems. It may be well suited for graduate courses and seminars. The text contains 58 open problems for future research in tractability.07aNumerical analysis2bicssc07aNumerical analysis2msc1 aWoźniakowski, Henryk,eauthor.40uhttps://doi.org/10.4171/116423cover imageuhttps://www.ems-ph.org/img/books/novak_III_mini.jpg