00912nam0 2200253 450 00001267720090325105707.0052139742120080611d1991----km-y0itay50------baengGBy-------001yy<<The >>theory and practice of tax reform in developing countriesEhtisham Ahmad, Nicholas SternCambridge [etc.]Cambridge university press1991XVII, 344 p.graf.23 cm<<The >>theory and practice of tax reform in developing countries35761Paesi in via di sviluppoPolitica fiscaleAhmad,Ehtisham140761Stern,Nicholas544101ITUNIPARTHENOPE20080611RICAUNIMARC000012677324/907045NAVA2Theory and practice of tax reform in developing countries35761UNIPARTHENOPE02107nam 2200373 450 991067403970332120230623085201.0(CKB)4100000011302162(NjHacI)994100000011302162(EXLCZ)99410000001130216220230623d2020 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierMicrobial Biofilms in Healthcare Formation, Prevention and Treatment /Karen VickeryBasel :MDPI - Multidisciplinary Digital Publishing Institute,2020.1 online resource (166 pages)3-03928-410-X Biofilms are ubiquitous and their presence in industry can lead to production losses. However, nowhere do biofilms impact human health and welfare as much as those that are found contaminating the healthcare environment, surgical instruments, equipment, and medical implantable devices. Approximately 70% of healthcare-associated infections are due to biofilm formation, resulting in increased patient morbidity and mortality. Biofilms formed on medical implants are recalcitrant to antibiotic treatment, which leaves implant removal as the principal treatment option. In this book, we investigate the role of biofilms in breast and dental implant disease and cancer. We include in vitro models for investigating treatment of chronic wounds and disinfectant action against Candida sp. Also included are papers on the most recent strategies for treating biofilm infection ranging from antibiotics incorporated into bone void fillers to antimicrobial peptides and quorum sensing.Microbial Biofilms in HealthcareMedical microbiologyMedical bacteriologyMedical microbiology.Medical bacteriology.616.9041Vickery Karen1368225NjHacINjHaclBOOK9910674039703321Microbial Biofilms in Healthcare3393134UNINA03553nam 22006375 450 991071741190332120251113202810.03-031-25820-710.1007/978-3-031-25820-6(CKB)5720000000183532(NjHacI)995720000000183532(PPN)269658254(MiAaPQ)EBC7243105(Au-PeEL)EBL7243105(OCoLC)1378390037(ODN)ODN0010066921(DE-He213)978-3-031-25820-6(EXLCZ)99572000000018353220230429d2023 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierAlgorithms for Sparse Linear Systems /by Jennifer Scott, Miroslav Tůma1st ed. 2023.Cham :Springer International Publishing :Imprint: Birkhäuser,2023.1 online resource (xix, 242 pages) illustrations (some color)Nečas Center Series,2523-33513-031-25819-3 Includes bibliographical references and index.An introduction to sparse matrices -- Sparse matrices and their graphs -- Introduction to matrix factorizations -- Sparse Cholesky sovler: The symbolic phase -- Sparse Cholesky solver: The factorization phase -- Sparse LU factorizations -- Stability, ill-conditioning and symmetric indefinite factorizations -- Sparse matrix ordering algorithms -- Algebraic preconditioning and approximate factorizations -- Incomplete factorizations -- Sparse approximate inverse preconditioners.Large sparse linear systems of equations are ubiquitous in science, engineering and beyond. This open access monograph focuses on factorization algorithms for solving such systems. It presents classical techniques for complete factorizations that are used in sparse direct methods and discusses the computation of approximate direct and inverse factorizations that are key to constructing general-purpose algebraic preconditioners for iterative solvers. A unified framework is used that emphasizes the underlying sparsity structures and highlights the importance of understanding sparse direct methods when developing algebraic preconditioners. Theoretical results are complemented by sparse matrix algorithm outlines. This monograph is aimed at students of applied mathematics and scientific computing, as well as computational scientists and software developers who are interested in understanding the theory and algorithms needed to tackle sparsesystems. It is assumed that the reader has completed a basic course in linear algebra and numerical mathematics. .Nečas Center Series,2523-3351Numerical analysisAlgebras, LinearMathematicsData processingNumerical AnalysisLinear AlgebraComputational Science and EngineeringNumerical analysis.Algebras, Linear.MathematicsData processing.Numerical Analysis.Linear Algebra.Computational Science and Engineering.511.8COM014000MAT002050MAT021000bisacshScott Jennifer1359751Tůma MiroslavNjHacINjHaclBOOK9910717411903321Algorithms for Sparse Linear Systems3374392UNINA