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151215 ||| eng |
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|a 9781493929726
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| 100 |
1 |
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|a Schättler, Heinz
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| 245 |
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|a Optimal Control for Mathematical Models of Cancer Therapies
|h Elektronische Ressource
|b An Application of Geometric Methods
|c by Heinz Schättler, Urszula Ledzewicz
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| 250 |
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|a 1st ed. 2015
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| 260 |
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|a New York, NY
|b Springer New York
|c 2015, 2015
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| 300 |
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|a XIX, 496 p. 115 illus., 85 illus. in color
|b online resource
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| 505 |
0 |
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|a Cancer and Tumor Development: Biomedical Background -- Cell-Cycle Specific Cancer Chemotherapy for Homogeneous Tumors -- Cancer Chemotherapy for Heterogeneous Tumor Cell Populations and Drug Resistance -- Optimal Control for Problems with a Quadratic Cost Functional on the Therapeutic Agents -- Optimal Control of Mathematical Models for Antiangiogenic Treatments -- Robust Suboptimal Treatment Protocols for Antiangiogenic Therapy -- Combination Therapies with Antiangiogenic Treatments -- Optimal Control for Mathematical Models of Tumor Immune System Interactions -- Concluding Remarks -- Appendices
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| 653 |
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|a Control and Systems Theory
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| 653 |
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|a Calculus of Variations and Optimization
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| 653 |
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|a Cancer
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| 653 |
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|a Control engineering
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| 653 |
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|a Geometry
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| 653 |
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|a Mathematical optimization
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| 653 |
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|a Cancer Biology
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| 653 |
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|a Calculus of variations
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| 700 |
1 |
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|a Ledzewicz, Urszula
|e [author]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Interdisciplinary Applied Mathematics
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| 028 |
5 |
0 |
|a 10.1007/978-1-4939-2972-6
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| 856 |
4 |
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|u https://doi.org/10.1007/978-1-4939-2972-6?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 515.64
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| 082 |
0 |
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|a 519.6
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| 520 |
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|a This book presents applications of geometric optimal control to real life biomedical problems with an emphasis on cancer treatments. A number of mathematical models for both classical and novel cancer treatments are presented as optimal control problems with the goal of constructing optimal protocols. The power of geometric methods is illustrated with fully worked out complete global solutions to these mathematically challenging problems. Elaborate constructions of optimal controls and corresponding system responses provide great examples of applications of the tools of geometric optimal control and the outcomes aid the design of simpler, practically realizable suboptimal protocols. The book blends mathematical rigor with practically important topics in an easily readable tutorial style. Graduate students and researchers in science and engineering, particularly biomathematics and more mathematical aspects of biomedical engineering, would find this book particularly useful
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