LEADER 01137nam0-22003251i-450- 001 990001857390403321 005 20080522150040.0 035 $a000185739 035 $aFED01000185739 035 $a(Aleph)000185739FED01 035 $a000185739 100 $a20030910d1957----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $aEsperienza circa l'efficacia di differenti concimazioni sul primo sviluppo del Trifoglio ladino (Trifolium repens L.)$fPier Luigi Ghisleni 210 $aPisa$c[s.l.]$d1957 215 $ap. 185-189$d24 cm 225 1 $aRaccolta di memorie$fUniversità degli studi di Torino. Facoltà di scienze agrarie$v117 300 $aEstr. da: L'Agricoltura italiana, 1957. 610 0 $aTrifolium repens 676 $a633.32 700 1$aGhisleni,$bPier Luigi$071227 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001857390403321 952 $a60 MISC. B 131/117$fFAGBC 959 $aFAGBC 996 $aEsperienza circa l'efficacia di differenti concimazioni sul primo sviluppo del Trifoglio ladino (Trifolium repens L.$9414122 997 $aUNINA LEADER 02877nam0 22006493i 450 001 VAN00286714 005 20250410112411.981 100 $a20250211d1990 |0itac50 ba 101 $aeng 102 $aDE 105 $a|||| ||||| 181 $ai$b e 182 $ab 183 $acr 200 1 $aAdaptive Algorithms and Stochastic Approximations$fAlbert Benveniste, Michel Métivier, Pierre Priouret$gTranslated from the French by Stephen S. Wilson 210 $aBerlin$cSpringer-Verlag$d1990 215 $axi, 365 p.$cill.$d24 cm 410 1$1001VAN00076490$12001 $aStochastic modelling and applied probability$1210 $aNew York [etc.]$cSpringer$d1975-2024.$v22 500 1$3VAN00286716$aAlgorithmes adaptifs et approximations stochastiques$94312011 606 $a60H30$xApplications of stochastic analysis (to PDEs, etc.) [MSC 2020]$3VANC021490$2MF 606 $a62E20$xAsymptotic distribution theory in statistics [MSC 2020]$3VANC033675$2MF 606 $a93C40$xAdaptive control/observation systems [MSC 2020]$3VANC035157$2MF 606 $a93E11$xFiltering in stochastic control theory [MSC 2020]$3VANC022653$2MF 606 $a93E12$xIdentification in stochastic control theory [MSC 2020]$3VANC036699$2MF 610 $aBehavior$9KW:K 610 $aCognition$9KW:K 610 $aControl$9KW:K 610 $aErgodicity$9KW:K 610 $aExtension$9KW:K 610 $aIntelligence$9KW:K 610 $aMarkov Chains$9KW:K 610 $aModeling$9KW:K 610 $aMoments$9KW:K 610 $aParameter$9KW:K 610 $aPattern recognition$9KW:K 610 $aRang$9KW:K 610 $aStatistics$9KW:K 610 $aStochastic Approximations$9KW:K 610 $aSystem identification$9KW:K 620 $dBerlin$3VANL000066 700 1$aBenveniste$bAlbert$3VANV240964$059526 701 1$aMétivier$bMichel$3VANV218881$041398 701 1$aPriouret$bPierre$3VANV240968$059527 702 1$aWilson$bStephen S.$3VANV051585$4730 712 $aSpringer $3VANV108073$4650 790 1$aWilson, S.S.$zWilson, Stephen S.$3VANV259911 790 1$aWilson, Stephen Stewart$zWilson, Stephen S.$3VANV259907 790 1$aWilson, Stephen$zWilson, Stephen S.$3VANV259908 790 1$aWilson, S. S.$zWilson, Stephen S.$3VANV259909 801 $aIT$bSOL$c20260327$gRICA 856 4 $uhttps://doi.org/10.1007/978-3-642-75894-2$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00286714 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-Book 10641 $e08eMF10641 20250228 996 $aAlgorithmes adaptifs et approximations stochastiques$94312011 997 $aUNICAMPANIA