LEADER 03653nam 22005775 450 001 9910254170803321 005 20200629155103.0 010 $a3-319-51475-X 024 7 $a10.1007/978-3-319-51475-8 035 $a(CKB)3710000001041162 035 $a(DE-He213)978-3-319-51475-8 035 $a(MiAaPQ)EBC5595454 035 $a(PPN)198340516 035 $a(EXLCZ)993710000001041162 100 $a20170113d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Comparisons II: Operator Inequalities and Approximations /$fby George A. Anastassiou 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XII, 224 p.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v699 300 $aIncludes index. 311 $a3-319-51474-1 327 $aPreface -- Self Adjoint Operator Korovkin type Quantitative Approximation Theory -- Self Adjoint Operator Korovkin and polynomial direct Approximations with rates -- Quantitative Self Adjoint Operator other Direct Approximations -- Fractional Self Adjoint Operator Poincare and Sobolev Inequalities -- Self Adjoint Operator Ostrowski Inequalities -- Integer and Fractional Self Adjoint Operator Opial Inequalities -- Self Adjoint Operator Chebyshev-Gruss Inequalities -- Ultra General Fractional Self Adjoint Operator Representation formulae and Operator Poincare and Sobolev and other basic Inequalities -- Harmonic Self Adjoint Operator Chebyshev-Gruss type Inequalities -- Ultra general Self Adjoint Operator Chebyshev-Gruss type Inequalities -- About a fractional Means inequality. 330 $aThis compact book focuses on self-adjoint operators? well-known named inequalities and Korovkin approximation theory, both in a Hilbert space environment. It is the first book to study these aspects, and all chapters are self-contained and can be read independently. Further, each chapter includes an extensive list of references for further reading. The book?s results are expected to find applications in many areas of pure and applied mathematics. Given its concise format, it is especially suitable for use in related graduate classes and research projects. As such, the book offers a valuable resource for researchers and graduate students alike, as well as a key addition to all science and engineering libraries. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v699 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aApproximation theory 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aApproximations and Expansions$3https://scigraph.springernature.com/ontologies/product-market-codes/M12023 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aApproximation theory. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aApproximations and Expansions. 676 $a515.26 700 $aAnastassiou$b George A$4aut$4http://id.loc.gov/vocabulary/relators/aut$060024 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254170803321 996 $aIntelligent Comparisons II: Operator Inequalities and Approximations$91939106 997 $aUNINA