Showing posts with label optimality. Show all posts
Showing posts with label optimality. Show all posts

Saturday, 30 December 2023

Construction of Balanced Incomplete Block Designs with Binary and Ternary Variance | Chapter 8 | Research and Applications Towards Mathematics and Computer Science Vol. 7

This member proposes a new method for building binary and having three of something variance balanced unfinished block designs based on the Kronecker merchandise of two Hadamard matrices and unreduced well-proportioned Balanced Unfinished Block Design.  Method 1 discusses the explanation of binary variance equalized block designs using the Kronecker production of two Hadamard matrices, and method 2 debates the constructions of ternary difference balanced block design using the complete symmetrical, balanced wanting block design with the limits v = b, r = k = v −1, λ = v – 2 . The optimality of the constructed binary and having three of something designs has been intentional with numerical models, and the constructed designs were erect to be universally optimum. The built design is significant cause it lowers the cost and duration of the test process, increases the accuracy and efficiency of the exploratory results, and enables a set of exploratory treatments requiring lean observations expected compared to a full block design.

Author(s) Details:

Rajarathinam A.,
Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli-627 012, India.

Please see the link here: https://stm.bookpi.org/RATMCS-V7/article/view/12879

Friday, 23 April 2021

Stability and Optimal Control of an Mathematical Model of Tuberculosis/AIDS Co-infection with Vaccination | Chapter 3 | New Ideas Concerning Science and Technology Vol. 11

 The analysis and control of a nonlinear mathematical epidemic model (S Svih V E LI ) based on a system of ordinary differential equations modelling the spread of tuberculosis infectious with VIH/AIDS coinfection are the subject of this paper. The existence of both disease-free and endemic equilibrium is debated. R0 is the reproduction number that has been calculated. We investigate the stability of epidemic systems around equilibriums using Lyapunov-Lasalle methods (Disease free and endemic equilibrium). The disease-free equilibrium's global asymptotic stability is proven whenever Rvac < 1, where R0 is the reproduction number. We also show that Tuberculosis can be eradicated when R0 is less than one. To validate analytic data, numerical simulations are used. To achieve disease prevention by reducing the infectious group to the lowest level of vaccine coverage possible. There is a formulation of a control problem. The optimal control is defined using the Pontryagin's maximum theory. The Runge Kutta fourth method is used to extract and solve the optimality system numerically.

Author (s) Details

Leontine Nkague Nkamba
Department of Mathematics, University of Yaound´e I, Higher Teacher Training College, P.O. Box 47 Yaound´ e, Cameroon and AIDEPY Association des Ing ´enieurs Diplom´es de l’Ecole Polytechnique de Yaound´ e, Cameroon.

Thomas Timothee Manga
AIDEPY Association des Ing ´enieurs Diplom´es de l’Ecole Polytechnique de Yaound´ e, Cameroon.

View Book :- https://stm.bookpi.org/NICST-V11/article/view/677