The goal in radiotherapy is to maximize the biological effect (BE) of radiation on the tumour
while limiting its toxic effects on healthy anatomies. Treatment is administered over several …

We present a spatiotemporally integrated formulation of the optimal fractionation problem
using the standard log-linear-quadratic survival model. Our objective is to choose a fluence …

In the present paper, we extend the concept of contraction in a new manner by introducing D-
contraction defined on a family F of bounded functions. We also introduce a new notion of a …

We consider an optimization problem in radiotherapy, where the goal is to maximize the
biological effect on the tumor of radiation intensity profiles across multiple treatment …

Strong convergence theorems of common fixed points for a uniformly closed asymptotically
family of countable quasi-Lipschitz map Page 1 Article Strong convergence theorems of common …

The aim of this paper is to introduce a new non-convex hybrid algorithm for a family of
countable quasi-Lipschitz mappings. We establish strong convergence theorems of common …

In this note, the strong convergence theorems of a non-convex hybrid iteration algorithm
corresponding to Noor iterative scheme about common fixed points for a uniformly closed …

In this note we establish a new non-convex hybrid iteration algorithm corresponding to Khan
iterative process [4] and prove strong convergence theorems of common fixed points for a …

The research objective of this dissertation is to apply convex and dynamic optimization
methods to establish a rigorous mathematical framework called Adaptive Biologically …

On iterative approach to common fixed points of nonexpansive mappings in Hilbert spaces.
Page 144 On iterative approach to common fixed points of nonexpansive mappings in Hilbert …