000 04402nam a22005895i 4500
001 978-3-031-58519-7
003 DE-He213
005 20251030112624.0
007 cr nn 008mamaa
008 240712s2024 sz | s |||| 0|eng d
020 _a9783031585197
_9978-3-031-58519-7
024 7 _a10.1007/978-3-031-58519-7
_2doi
050 4 _aTA342-343
072 7 _aPBWH
_2bicssc
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
072 7 _aPBWH
_2thema
072 7 _aTBJ
_2thema
245 1 0 _aQuantitative Approaches to Microcirculation
_h[electronic resource] :
_bMathematical Models, Computational Methods and Data Analysis /
_cedited by Andreas Linninger, Kent-Andre Mardal, Paolo Zunino.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aIX, 219 p. 71 illus., 67 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSEMA SIMAI Springer Series,
_x2199-305X ;
_v36
505 0 _a- Mathematical Models of the Cerebral Microcirculation in Health and Pathophysiology -- A computational model of the tumor microenvironment applied to fractionated radiotherapy -- Microvascular modeling for medical imaging and toxicity assessment -- Finite element software and performance for network models with multipliers -- A Fast-Fourier Preconditioned Schur Complement Method for the Simulation of Cerebrocortical Oxygen Supply -- Robust Preconditioning of Mixed-Dimensional PDEs on 3𝒅-1𝒅 domains coupled with Lagrange Multipliers -- Numerical approaches for multiphase microfluids -- Application of the Zenger correction to an elliptic PDE with Dirac source term.
520 _aMicrocirculation is a key area of interest within the realms of biology and medicine. As a vital discipline, microcirculatory biology forms a significant part of established medical fields like cardiovascular medicine and oncology, and is increasingly relevant in emerging fields such as neuroscience. With its multifaceted nature, the study of microcirculation has evolved from basic observations and experiments to embrace cutting-edge imaging technologies, quantitative methods, and the power of data science. This volume brings together a series of insightful chapters that highlight the latest trends in modeling microcirculation. It casts a spotlight on the vital role of microcirculation in brain function modeling and the innovative applications of microvascular models in oncology. Readers will be introduced to state-of-the-art methodologies of microcirculation modeling. A key focus is on mixed-dimensional models, mathematical methods adept at describing complex interactions within lower dimensional manifolds. Each chapter thoughtfully navigates the mathematical, computational, and practical challenges of these approaches, underscoring their effectiveness in capturing the essence of microcirculation. This book offers a window into the latest advancements and methodologies that are shaping the future of this vital field.
650 0 _aMathematical models.
_966910
650 0 _aMathematics
_xData processing.
_965715
650 0 _aMathematics.
_965523
650 1 4 _aMathematical Modeling and Industrial Mathematics.
_966912
650 2 4 _aComputational Mathematics and Numerical Analysis.
_966073
650 2 4 _aApplications of Mathematics.
_965529
700 1 _aLinninger, Andreas.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_980415
700 1 _aMardal, Kent-Andre.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_980416
700 1 _aZunino, Paolo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_980417
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031585180
776 0 8 _iPrinted edition:
_z9783031585203
776 0 8 _iPrinted edition:
_z9783031585210
830 0 _aSEMA SIMAI Springer Series,
_x2199-305X ;
_v36
_977521
856 4 0 _uhttps://doi.org/10.1007/978-3-031-58519-7
912 _aZDB-2-SMA
912 _aZDB-2-SXMS
999 _c61528
_d61528