Growth Study of Cancer within Organ through the Models on Stochastic Non-linear Programming

The growth and loss of cancer cell population within an organ are influenced by their birth, death and migration processes. These issues may be observed during the presence and absence of chemotherapy also. In this paper, stochastic non-linear programming problems were formulated for getting the decision parameters on growth and loss of cancer cells in an organ subject to the constraints of its related health indicators. While formulating the objective function and subjective constraints based on the derived statistical measures in the works of Tirupathi rao et. al. [9,10]. The decision parameters of the developed programming problem are predicted and analyzed the dynamics of cancer cell size in different situations.