Monte Carlo Simulation: Methods, Assessment and Applications


Frederick J. Mitchell (Editor)

Series: Computational Mathematics and Analysis
BISAC: MAT000000

Chapter One presents a study on application of Monte Carlo simulation in reliability assessment of composite electric power systems. Chapter Two develops a PK/PD model to evaluate, by Monte Carlo simulation as a data maximization strategy, the antiviral activity of two stavudine formulations: conventional stavudine and stavudine-gold nanoparticles (stavudine-AuNPs). In Chapter Three, the magnetic properties of the kagomé lattice is studied with Ruderman–Kittel–Kasuya–Yosida (RKKY) exchange interactions in a spin-7/2 and alternate mixed spin-5/2 and spin-2 Ising model on the Bethe lattice by using the Monte Carlo simulations. (Imprint: Nova)

Table of Contents

Table of Contents


Chapter 1. The Application of Parallel Monte Carlo Simulation in the Reliability Evaluation of Composite Electric Power Systems
Tran Ky Phuc, Pham Hai Binh and Le Thi Thanh Ha (Vietnam Institute of Energy, Hanoi, Vietnam, and others)

Chapter 2. PK/PD Analysis of Stavudine-Gold Nanoparticles by Monte Carlo Simulation
H. Zazo, A. Martín-Suárez and J. M. Lanao (Area of Pharmacy and Pharmaceutical Technology, University of Salamanca, Salamanca. Spain, and others)

Chapter 3. Monte Carlo Simulation of Magnetic Properties of a Mixed Spins Ferrimagnetic and Kagomé Lattice with RKKY Interaction
R. Masrour and A. Jabar (Laboratory of Materials, Processes, Environment and Quality, Cady Ayyed University, National School of Applied Sciences, Safi, Morocco)


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