Population Balances in Biomedical Engineering
1st Edition
0071447687
·
9780071447683
© 2006 | Published: September 28, 2005
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.The population balance modeling is a statistical approach …
Read More
Purchase Options
Request Review Copy
PREFACENOMENCLATUREChapter 1: IntroductionChapter 2: Unstructured PBMsChapter 3: Steady-State SolutionsChapter 4: Transient SolutionsChapter 5: Cell Cycle SynchronyChapter 6: Growth by BranchingChapter 7: Alternative FormulationsBIBLIOGRAPHYINDEX
Chapter 1: IntroductionChapter 2: Unstructured PBMsChapter 3: Steady-State SolutionsChapter 4: Transient SolutionsChapter 5: Cell Cycle SynchronyChapter 6: Growth by BranchingChapter 7: Alternative FormulationsBIBLIOGRAPHYINDEX
Chapter 3: Steady-State SolutionsChapter 4: Transient SolutionsChapter 5: Cell Cycle SynchronyChapter 6: Growth by BranchingChapter 7: Alternative FormulationsBIBLIOGRAPHYINDEX
Chapter 5: Cell Cycle SynchronyChapter 6: Growth by BranchingChapter 7: Alternative FormulationsBIBLIOGRAPHYINDEX
Chapter 7: Alternative FormulationsBIBLIOGRAPHYINDEX
INDEX
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
The population balance modeling is a statistical approach for achieving accurate counts of any populations. It is an efficient way of counting traffic on roadways as well as to bacteria in lakes. In the biomedical world, it is used to count cell populations for the creation of biomaterials. Despite their undisputed accuracy, they have been underutilized for design and control purposes due to two main reasons: a) they are hard to solve and b) the functions that describe single-cell mechanisms and appear as parameters in these models are typically unknown.
The population balance modeling is a statistical approach for achieving accurate counts of any populations. It is an efficient way of counting traffic on roadways as well as to bacteria in lakes. In the biomedical world, it is used to count cell populations for the creation of biomaterials. Despite their undisputed accuracy, they have been underutilized for design and control purposes due to two main reasons: a) they are hard to solve and b) the functions that describe single-cell mechanisms and appear as parameters in these models are typically unknown.