LEADER 01406nam2 2200349 i 450 001 SUN0018785 005 20150521010148.758 010 $a88-339-0770-8 100 $a20040702d1993 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $aˆ18: La ‰vita simbolica$e1939-61$fCarl Gustav Jung 210 $aTorino$cBollati Boringhieri$d1993 215 $a121 p.$d18 cm. 461 1$1001SUN0018780$12001 $aOpere$fCarl Gustav Jung$v18$1210 $aTorino$cBollati Boringhieri$1215 $avolumi$d22 cm. 606 $aInconscio$2FI$3SUNC008777 606 $aSimboli$xPsicanalisi$2FI$3SUNC009238 620 $dTorino$3SUNL000001 676 $a154.2$v21 700 1$aJung$b, Carl G.$3SUNV014849$0730920 712 $aBollati Boringhieri$3SUNV000104$4650 790 1$aJung, Karl Gustav$zJung, Carl G.$3SUNV014850 790 1$aJung, Carl Gustav$zJung, Carl G.$3SUNV062470 790 1$aJung, C.G.$zJung, Carl G.$3SUNV062471 790 1$aJung, C. G.$zJung, Carl G.$3SUNV062472 801 $aIT$bSOL$c20181109$gRICA 912 $aSUN0018785 950 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI PSICOLOGIA$d16 CONS 656 $e16 VS 2329 995 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI PSICOLOGIA$bIT-CE0119$gVS$h2329$kCONS 656$oc$qa 996 $aVita simbolica$91401603 997 $aUNICAMPANIA LEADER 03709nam 2200529 450 001 9910813724303321 005 20230814221626.0 010 $a3-11-055367-8 024 7 $a10.1515/9783110554632 035 $a(CKB)4100000001502390 035 $a(DE-B1597)483361 035 $a(OCoLC)1024020911 035 $a(DE-B1597)9783110554632 035 $a(Au-PeEL)EBL5159333 035 $a(CaPaEBR)ebr11567026 035 $a(MiAaPQ)EBC5159333 035 $a(EXLCZ)994100000001502390 100 $a20180622d2018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdaptive stochastic methods $ein computational mathematics and mechanics /$fDmitry G. Arseniev, Vladimir M. Ivanov, Maxim L. Korenevsky 210 1$aBerlin ;$aBoston :$cDe Gruyter,$d2018. 215 $a1 online resource (xi, 278 pages) 311 $a3-11-055364-3 311 $a3-11-055463-1 327 $tFrontmatter -- $tPreface -- $tContents -- $tIntroduction: Statistical Computing Algorithms as a Subject of Adaptive Control -- $tPart I: Evaluation of Integrals -- $t1. Fundamentals of the Monte Carlo Method to Evaluate Definite Integrals -- $t2. Sequential Monte Carlo Method and Adaptive Integration -- $t3. Methods of Adaptive Integration Based on Piecewise Approximation -- $t4. Methods of Adaptive Integration Based on Global Approximation -- $t5. Numerical Experiments -- $t6. Adaptive Importance Sampling Method Based on Piecewise Constant Approximation -- $tPart II: Solution of Integral Equations -- $t7. Semi-Statistical Method of Solving Integral Equations Numerically -- $t8. Problem of Vibration Conductivity -- $t9. Problem on Ideal-Fluid Flow Around an Airfoil -- $t10. First Basic Problem of Elasticity Theory -- $t11. Second Basic Problem of Elasticity Theory -- $t12. Projectional and Statistical Method of Solving Integral Equations Numerically -- $tAfterword -- $tBibliography -- $tIndex 330 $aThis monograph develops adaptive stochastic methods in computational mathematics. The authors discuss the basic ideas of the algorithms and ways to analyze their properties and efficiency. Methods of evaluation of multidimensional integrals and solutions of integral equations are illustrated by multiple examples from mechanics, theory of elasticity, heat conduction and fluid dynamics. Contents Part I: Evaluation of IntegralsFundamentals of the Monte Carlo Method to Evaluate Definite IntegralsSequential Monte Carlo Method and Adaptive IntegrationMethods of Adaptive Integration Based on Piecewise ApproximationMethods of Adaptive Integration Based on Global ApproximationNumerical ExperimentsAdaptive Importance Sampling Method Based on Piecewise Constant Approximation Part II: Solution of Integral EquationsSemi-Statistical Method of Solving Integral Equations NumericallyProblem of Vibration ConductivityProblem on Ideal-Fluid Flow Around an AirfoilFirst Basic Problem of Elasticity TheorySecond Basic Problem of Elasticity TheoryProjectional and Statistical Method of Solving Integral Equations Numerically 606 $aStochastic processes 606 $aStochastic integrals 606 $aAdaptive control systems 615 0$aStochastic processes. 615 0$aStochastic integrals. 615 0$aAdaptive control systems. 676 $a519.2 700 $aArsenjev$b Dmitry G.$01722893 702 $aIvanov$b Vladimir M. 702 $aKorenevskii?$b M. L$g(Maksim L?vovich), 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910813724303321 996 $aAdaptive stochastic methods$94123694 997 $aUNINA