LEADER 03423nam 22005775 450 001 9910299947303321 005 20200702160036.0 010 $a3-319-75187-5 024 7 $a10.1007/978-3-319-75187-0 035 $a(CKB)4100000002485485 035 $a(DE-He213)978-3-319-75187-0 035 $a(MiAaPQ)EBC5576619 035 $a(PPN)224638033 035 $a(EXLCZ)994100000002485485 100 $a20180209d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aParametric Interval Algebraic Systems /$fby Iwona Skalna 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XXIV, 191 p. 26 illus.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v766 300 $aIncludes index. 311 $a3-319-75186-7 327 $aIntroduction -- Interval arithmetic -- Alternative arithmetic -- Interval and parametric interval matrices -- Linear systems -- Methods for solving parametric interval linear systems -- Methods for computing parametric solution -- Parametric interval linear programming problem. 330 $aThis self-contained book presents a framework for solving a general class of linear systems with coefficients being continuous functions of parameters varying within prescribed intervals. It also provides a comprehensive overview of the theory related to solving parametric interval linear systems and the basic properties of parametric interval matrices. In particular, it develops several new algorithms delivering sharp rigorous bounds for the solutions of such systems with full mathematical rigor. The framework employs the arithmetic of revised affine forms that enables the readers to handle dependent data. The book is intended not only for researchers interested in developing rigorous methods of numerical linear algebra, but also for engineers dealing with problems involving uncertain data. The theory discussed is also useful in various other fields of numerical analysis, in computer graphics, economics, computational geometry, computer-aided design, computer-assisted proofs, computer graphics, control theory, solving constraint satisfaction problems, and global optimization. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v766 606 $aComputational intelligence 606 $aSystem theory 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aSystem theory. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aSystems Theory, Control. 615 24$aArtificial Intelligence. 676 $a006.3 700 $aSkalna$b Iwona$4aut$4http://id.loc.gov/vocabulary/relators/aut$01059063 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299947303321 996 $aParametric Interval Algebraic Systems$92540274 997 $aUNINA