LEADER 01053nam a22002655i 4500 001 991002171299707536 007 cr nn 008mamaa 008 121227s1972 gw | s |||| 0|eng d 020 $a9783540374664 035 $ab14132400-39ule_inst 040 $aBibl. Dip.le Aggr. Matematica e Fisica - Sez. Matematica$beng 082 04$a510$223 100 1 $aZimmer, Horst G.$055314 245 10$aComputational problems, methods, and results in algebraic number theory$h[e-book] /$cby Horst G. Zimmer 260 $aBerlin :$bSpringer,$c1972 300 $a1 online resource (vi, 110 p.) 440 0$aLecture Notes in Mathematics,$x0075-8434 ;$v262 650 0$aMathematics 773 0 $aSpringer eBooks 856 40$uhttp://dx.doi.org/10.1007/BFb0058472$zAn electronic book accessible through the World Wide Web 907 $a.b14132400$b03-03-22$c05-09-13 912 $a991002171299707536 996 $aComputational problems, methods, and results in algebraic number theory$981549 997 $aUNISALENTO 998 $ale013$b05-09-13$cm$d@ $e-$feng$ggw $h0$i0 LEADER 01417nam 2200409Ia 450 001 9910696584103321 005 20080410115824.0 035 $a(CKB)5470000002379007 035 $a(OCoLC)221987085 035 $a(EXLCZ)995470000002379007 100 $a20080410d2006 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aWhy biomass is important$b[electronic resource] $ethe role of the USDA Forest Service in managing and using biomass for energy and other uses /$fDr. Ann Bartuska 210 1$aWashington, DC :$cResearch & Development, USDA Forest Service,$d[2006?] 215 $a16 pages $cdigital, PDF file 300 $aTitle from title screen (viewed April 8, 2008). 517 $aWhy biomass is important 606 $aSustainable forestry 606 $aForest productivity 606 $aBiomass energy$zUnited States 606 $aRenewable energy sources$zUnited States 615 0$aSustainable forestry. 615 0$aForest productivity. 615 0$aBiomass energy 615 0$aRenewable energy sources 700 $aBartuska$b Ann$f1953-$01418209 712 02$aUnited States.$bForest Service.$bResearch and Development. 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910696584103321 996 $aWhy biomass is important$93528953 997 $aUNINA LEADER 03773nam 22006135 450 001 996635672803316 005 20251107183642.0 010 $a9783031713262 010 $a3031713265 024 7 $a10.1007/978-3-031-71326-2 035 $a(MiAaPQ)EBC31837004 035 $a(Au-PeEL)EBL31837004 035 $a(CKB)37018348800041 035 $a(DE-He213)978-3-031-71326-2 035 $a(PPN)282366644 035 $a(EXLCZ)9937018348800041 100 $a20241214d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecent Stability Issues for Linear Dynamical Systems $eCetraro, Italy 2021 /$fby Nicolas Gillis, Nicola Guglielmi, Christian Lubich, Volker Mehrmann, Punit Sharma, Bart Vandereycken ; edited by Nicola Guglielmi, Christian Lubich 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (184 pages) 225 1 $aC.I.M.E. Foundation Subseries,$x2946-1820 ;$v2357 311 08$a9783031713255 311 08$a3031713257 327 $aIntroduction -- Chapter 1. Solving Matrix Nearness Problems via Hamiltonian Systems, Matrix Factorization and Optimisation -- Chapter 2. Eigenvalue Optimization and Matrix Nearness Problems via Constrained Gradient Systems -- Chapter 3. Regularity, Stability, Passivity and Controllability of Structured Linear Descriptor Systems -- Chapter 4. Algorithms for Eigenvalue Optimization Related to Stability of Dynamical Systems. 330 $aThis book concerns matrix nearness problems in the framework of spectral optimization. It addresses some current research directions in spectral-based stability studies for differential equations, with material on ordinary differential equations (ODEs), differential algebraic equations and dynamical systems. Here, ?stability? is interpreted in a broad sense which covers the need to develop stable and reliable algorithms preserving some qualitative properties of the computed solutions, methodologies which are helpful to assess the onset of potential instabilities or loss of robustness, and tools to determine the asymptotic properties of the solution or its discretization. The topics considered include the computation of robustness measures for linear problems, the use of low-rank ODEs to approximate such measures via gradient systems, the regularity, stability, passivity and controllability analysis of structured linear descriptor systems, and the use of acceleration techniques to deal with some of the presented computational problems. Although the emphasis is on the numerical study of differential equations and dynamical systems, the book will also be of interest to researchers in matrix theory, spectral optimization and spectral graph theory, as well as in dynamical systems and systems theory. 410 0$aC.I.M.E. Foundation Subseries,$x2946-1820 ;$v2357 606 $aDifferential equations 606 $aDynamics 606 $aDifferential Equations 606 $aDynamical Systems 615 0$aDifferential equations. 615 0$aDynamics. 615 14$aDifferential Equations. 615 24$aDynamical Systems. 676 $a515.35 700 $aGuglielmi$b Nicola$0739711 701 $aLubich$b Christian$f1959-$058969 701 $aGillis$b Nicolas$01430938 701 $aMehrmann$b V. L$g(Volker Ludwig),$f1955-$0755675 701 $aSharma$b Punit$01780083 701 $aVandereycken$b Bart$01780084 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996635672803316 996 $aRecent Stability Issues for Linear Dynamical Systems$94303717 997 $aUNISA