LEADER 01877nam 2200481 450 001 9910702554003321 005 20151117135439.0 035 $a(CKB)5470000002428638 035 $a(OCoLC)929672001 035 $a(EXLCZ)995470000002428638 100 $a20151117d2013 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAlgebra I and geometry curricula $eresults from the 2005 High School Transcript Mathematics Curriculum Study 210 1$aWashington, DC :$cNational Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education,$d2013. 215 $a1 online resource (70 pages) $ccolor illustrations 225 1 $aThe Nation's report card 300 $aTitle from PDF title page (viewed Nov. 17, 2015). 300 $a"NCES 2013-451." 300 $a"March 2013"--page [4] of cover. 300 $a"This report was prepared in part under contract no. ED-07-CO-0079 with Westat"--page [4] of cover. 320 $aIncludes bibliographical references (pages 69-70). 517 $aAlgebra I and geometry curricula 606 $aAlgebra$xStudy and teaching$zUnited States$vStatistics 606 $aGeometry$xStudy and teaching$zUnited States$vStatistics 606 $aMathematical ability$xTesting$vStatistics 606 $aHigh schools$xCurricula$zUnited States 608 $aStatistics.$2lcgft 615 0$aAlgebra$xStudy and teaching 615 0$aGeometry$xStudy and teaching 615 0$aMathematical ability$xTesting 615 0$aHigh schools$xCurricula 712 02$aNational Center for Education Statistics, 712 02$aWestat, Inc. 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910702554003321 996 $aAlgebra I and geometry curricula$93495149 997 $aUNINA LEADER 04334nam 2200697 450 001 9910788955803321 005 20230607232411.0 010 $a3-11-094091-4 024 7 $a10.1515/9783110940916 035 $a(CKB)3390000000062276 035 $a(SSID)ssj0001406656 035 $a(PQKBManifestationID)12546440 035 $a(PQKBTitleCode)TC0001406656 035 $a(PQKBWorkID)11401823 035 $a(PQKB)10248281 035 $a(MiAaPQ)EBC3049398 035 $a(DE-B1597)57190 035 $a(OCoLC)1013963414 035 $a(OCoLC)900796448 035 $a(DE-B1597)9783110940916 035 $a(Au-PeEL)EBL3049398 035 $a(CaPaEBR)ebr11008735 035 $a(CaONFJC)MIL807276 035 $a(OCoLC)922950559 035 $a(EXLCZ)993390000000062276 100 $a20011205d2001 uy| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCoefficient inverse problems for parabolic type equations and their application /$fP.G. Danilaev 205 $aReprint 2014 210 1$aUtrecht ;$aBoston :$cVSP,$d2001. 215 $a1 online resource (125 pages) $cillustrations 225 1 $aInverse and ill-posed problems series,$x1381-4524 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-11-036401-8 311 $a90-6764-348-3 320 $aIncludes bibliographical references. 327 $tFront matter --$tContents --$tPreface --$tChapter 1. On the ill-posedness of coefficient inverse problems and the general approach to the study of them --$tChapter 2. Determining the coefficient of the lowest term of equation --$tChapter 3. Determining of the coefficient for the leading terms of equation --$tChapter 4. Modification of the method of determining the coefficient of the leading terms in an equation --$tChapter 5. Generalizations of the developed algorithm for solving coefficient inversion problems --$tChapter 6. On applications of coefficient inverse problems in underground fluid dynamics --$tSummary --$tBibliography 330 $aAs a rule, many practical problems are studied in a situation when the input data are incomplete. For example, this is the case for a parabolic partial differential equation describing the non-stationary physical process of heat and mass transfer if it contains the unknown thermal conductivity coefficient. Such situations arising in physical problems motivated the appearance of the present work. In this monograph the author considers numerical solutions of the quasi-inversion problems, to which the solution of the original coefficient inverse problems are reduced. Underground fluid dynamics is taken as a field of practical use of coefficient inverse problems. The significance of these problems for this application domain consists in the possibility to determine the physical fields of parameters that characterize the filtration properties of porous media (oil strata). This provides the possibility of predicting the conditions of oil-field development and the effects of the exploitation. The research carried out by the author showed that the quasi-inversion method can be applied also for solution of "interior coefficient inverse problems" by reducing them to the problem of continuation of a solution to a parabolic equation. This reduction is based on the results of the proofs of the uniqueness theorems for solutions of the corresponding coefficient inverse problems. 410 0$aInverse and ill-posed problems series. 606 $aDifferential equations, Parabolic$xNumerical solutions 606 $aInverse problems (Differential equations)$xNumerical solutions 610 $aCoefficient Inverse Problems. 610 $aNumerical Solutions. 610 $aParabolic Equations. 610 $aQuasi-inversion Problems. 610 $aUnderground Fluid Dynamics. 615 0$aDifferential equations, Parabolic$xNumerical solutions. 615 0$aInverse problems (Differential equations)$xNumerical solutions. 676 $a515/.353 700 $aDanilaev$b P. G.$0725467 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910788955803321 996 $aCoefficient inverse problems for parabolic type equations and their application$91415478 997 $aUNINA