The objective of this work is to study discrete dynamical systems, introducing fundamental concepts such as stability, bifurcation, and chaos. We will then apply these concepts to a
discrete-time predator-prey system with ...
This work provides insight into the application of the Galerkin method for solving
two boundary value problems. The first problem deals with bidimensional linear
Schrödinger parabolic partial differential equations, and ...
The present work is basically devoted to study the existence and uniqueness of solutions
for certain classes of nonlinear fractional differential equations with initial conditions via
the ψ−Caputo fractional derivative ...
Statistical distributions are widely applied to describe di§erent real world phenomena. As a result of the usefulness of statistical distributions, many researchers have
studied their theory extensively and new distributions ...
Statistical distributions are widely applied to describe di§erent real world phenomena. As a result of the usefulness of statistical distributions, many researchers have
studied their theory extensively and new distributions ...
This work presents a program for calculating the Value at Risk (VaR) using the
Extreme Value Theory (EVT), a statistical theory that focuses on studying rare
cases. EVT has numerous applications, and in this study, we ...
This thesis investigates hydrodynamic and thermal instabilities in a Taylor-Couette system subjected to differential heating, analyzing the influence of geometric parameters and rotational conditions of the cylinders across ...
1,10-phenanthroline and its derivatives are widely used in chemistry and biology, these molecules are useful in a range of biological (anti-Alzheimer, antifungal, anticancer,...) and chemical processes. Tin (IV) complexes ...
This study focused on the synthesis of new hybrid materials composed of tin hexachloride
and ligand matrices. The structural analysis and physico-chemical characterisation of these
compounds were carried out using ...
The sol- gel method is a very attractive technique for elaborating materials, since it is known to be able to synthesize, at low temperature, bothnanometric powders ormaterials with finemicrostructure. Moreover,it ensuresa ...
The main objective of this study is to detect of secondary metabolisms of four species of plants belonging to the Lamiaceae family, Rosmarinus officinalis. L, Thymus algeriensis (Boiss et Reut), Thymus numidicus (Poiret) ...
This work draws new results on stabilization and on some types of synchronization applied to chaotic systems when the parameters are unknown. First, we build an adaptive controller to stabilize the chaotic system with a ...
The present work is a contribution to the study of thermosolutal magnetohydrodynamic natural convection and entropy generation in a horizontal annular space between two concentric circular cylinders filled with nanofluids ...
The Fenton process is widely recognized for its efficiency in advanced oxidation of wastewater; however, its large-scale application is hindered by the need for an acidic
pH to prevent metal precipitation. In this study, ...
The 𝑘-out-of-𝑛 system represents a redundancy structure widely used in reliability engineering. It is a system that fails (or operates) if and only if at least k of its components
fail (or operate). This type of system ...
In the first part of our research, our aim was to identify the phenolic content of the hydroalcoholic extract of the plant Ammoides atlantica, which belongs to the family Apiaceae, by using the RP-UHPLC-ESI-QTOF-MS ...
In this work, we studied the electroweak baryogenesis through the electroweak phase transition (EWPT) which is required to be strong and of the first order to fulfill the third Sakharov condition, the existence of (EWPT) ...
In this work, we present a relativistic DFT study of a family of uranium complexes Cp2U(=NAr)X, (UVI/UV/UVI) and Cp2U[N(TMS)2]X, (UIII/UIV/UV), associated with functionalized ligands X type and / or donor. These ...
The present work is devoted on the one hand, to the study of some transmission problems and it consists mainly in the study a differential equation in a domain that contains one or more discontinuity points, with the ...
Gaussian process (GP) is a stochastic process that has been successfully applied in finance, black-box modeling of biosystems, machine learning, geostatistics, multitask learning or robotics and reinforcement learning. ...