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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Mathematical modelling of tumour invasion : from biochemical networks to tissue dynamics

Kooner, Priya January 2006 (has links)
No description available.
2

Numerical optimal control in cancer chemotherapy.

January 1998 (has links)
by Leung Wing Chung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1998. / Includes bibliographical references (leaves 67-68). / Abstract also in Chinese. / Chapter 1 --- Background and Modelling --- p.5 / Chapter 1.1 --- Treatment of Cancer --- p.5 / Chapter 1.2 --- Tumour Growth Model ´ؤ Gompertz Model --- p.5 / Chapter 1.3 --- Drug Concentration and Drug Effects --- p.7 / Chapter 1.3.1 --- Drug Effects on Tumour Cells --- p.9 / Chapter 1.3.2 --- "Drug Effects with Different Values of λG,k, vth" --- p.9 / Chapter 1.4 --- Constraints on the Gompertz Model --- p.11 / Chapter 2 --- Minimization on the Gompertz Model --- p.12 / Chapter 2.1 --- Mathematical Modelling on the Gompertz Model --- p.12 / Chapter 2.1.1 --- Constraints Transformation --- p.13 / Chapter 2.2 --- Simplified Minimization Problem --- p.15 / Chapter 2.2.1 --- Avoiding Non-Minimal Stationary Points --- p.16 / Chapter 2.2.2 --- The Final Minimization Problem --- p.23 / Chapter 2.2.3 --- Existence of Optimal Solutions --- p.24 / Chapter 2.3 --- Gradients of the Objective Function and the Constraints --- p.25 / Chapter 2.3.1 --- First Derivatives --- p.25 / Chapter 2.3.2 --- Second Derivatives --- p.29 / Chapter 3 --- Numerical Methods for Minimization Problems --- p.31 / Chapter 3.1 --- Lagrangian Multiplier Method --- p.32 / Chapter 3.1.1 --- Kuhn-Tucker Condition --- p.33 / Chapter 3.1.2 --- Model Augmented Lagrangian Algorithm --- p.34 / Chapter 3.1.3 --- Armijo Algorithm --- p.36 / Chapter 3.1.4 --- Modified Augmented Lagrangian Algorithm --- p.40 / Chapter 3.2 --- Data on the Gompertz Model --- p.42 / Chapter 3.2.1 --- Optimality of Solutions --- p.42 / Chapter 3.3 --- Numerical Results --- p.45 / Chapter 3.4 --- Well-Conditioned Penalty Function Method for Constrained Optimization --- p.56 / Chapter 3.5 --- Discussion --- p.64 / Chapter 3.5.1 --- Model Augmented Lagrangian Algorithm and Modified Augmented Lagrangian Algorithm --- p.65 / Chapter 3.5.2 --- Modified Augmented Lagrangian Algorithm and Penalty Function Algorithm --- p.65 / Bibliography

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