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<title>2- رياضيات</title>
<link href="http//localhost:8080/jspui/handle/123456789/579" rel="alternate"/>
<subtitle/>
<id>http//localhost:8080/jspui/handle/123456789/579</id>
<updated>2026-05-31T14:01:55Z</updated>
<dc:date>2026-05-31T14:01:55Z</dc:date>
<entry>
<title>Mathematical Modeling and Analysis of Malaria Propagation</title>
<link href="http//localhost:8080/jspui/handle/123456789/13648" rel="alternate"/>
<author>
<name>BOUGHRARA, Assia</name>
</author>
<id>http//localhost:8080/jspui/handle/123456789/13648</id>
<updated>2025-12-02T09:46:52Z</updated>
<published>2025-06-03T00:00:00Z</published>
<summary type="text">Mathematical Modeling and Analysis of Malaria Propagation
BOUGHRARA, Assia
The aim of this thesis is to study the dynamics model of the malaria parasite. The&#13;
mathematical model was developed based on the SEIR model for humans and the SI model&#13;
for mosquitoes. The basic reproduction number was calculated, and then the stability of the&#13;
disease-free equilibrium point was studied. If R0&gt;1, it is unstable, but if R0&lt;1, it is locally&#13;
asymptotically stable. This was proven using the Poincaré-Lyapunov theorem and globally&#13;
asymptotically stable. This was proven using the Lyapunov function. The existence and&#13;
uniqueness of the endemic equilibrium point were studied, and it was proven to be globally&#13;
asymptotically stable if R0&gt;1, also using the Lyapunov function, and otherwise unstable.
</summary>
<dc:date>2025-06-03T00:00:00Z</dc:date>
</entry>
<entry>
<title>Analytical and Numerical Analysis of A Generalized Non Standard Volterra Integro-Differential Equations</title>
<link href="http//localhost:8080/jspui/handle/123456789/13644" rel="alternate"/>
<author>
<name>KHALED, Soumia</name>
</author>
<id>http//localhost:8080/jspui/handle/123456789/13644</id>
<updated>2025-12-02T08:54:50Z</updated>
<published>2025-06-02T00:00:00Z</published>
<summary type="text">Analytical and Numerical Analysis of A Generalized Non Standard Volterra Integro-Differential Equations
KHALED, Soumia
• Fredholm and Volterra integral equations hold a significant position in mathe-&#13;
matics due to their wide-ranging applications across various scientific fields.&#13;
&#13;
• In this thesis, we focus on a specific form of the non linear, non standard,&#13;
integro-differential Volterra equation.&#13;
&#13;
• Using Schauder fixed point theorem, we establish the existence and unique-&#13;
ness for the solution of this integro-differential Volterra equation under well-defined&#13;
&#13;
conditions.&#13;
• We then apply the Fibonacci Wavelet Collocation method to obtain an&#13;
approximate solution to this integro-differential equation, followed by illustrative&#13;
examples demonstrating the obtained results.
</summary>
<dc:date>2025-06-02T00:00:00Z</dc:date>
</entry>
<entry>
<title>Control methods for inverse problems</title>
<link href="http//localhost:8080/jspui/handle/123456789/13518" rel="alternate"/>
<author>
<name>ALI, Linda</name>
</author>
<id>http//localhost:8080/jspui/handle/123456789/13518</id>
<updated>2025-11-17T09:28:12Z</updated>
<published>2025-06-03T00:00:00Z</published>
<summary type="text">Control methods for inverse problems
ALI, Linda
In this memory, we have made a detailed study of the inverse problem and in particular the&#13;
&#13;
observation problem and analyzed an epidemiological model of the type SIS using optimal con-&#13;
trol methods with the aim of identifying unknown coefficients such as transition and recovery&#13;
&#13;
coefficients .&#13;
The inverse problem is transformed into an optimal control problem in which a cost function is&#13;
defined that minimizes the difference between the model results and the observed data at the&#13;
final time and is often represented by differential or integral equations, where the results of the&#13;
theory such as existence and necessary conditions for optimality are proved .
</summary>
<dc:date>2025-06-03T00:00:00Z</dc:date>
</entry>
<entry>
<title>A common fixed point theorem and its application in dynamic programming</title>
<link href="http//localhost:8080/jspui/handle/123456789/13512" rel="alternate"/>
<author>
<name>CHENIKHAR, Safa</name>
</author>
<id>http//localhost:8080/jspui/handle/123456789/13512</id>
<updated>2025-11-17T07:59:02Z</updated>
<published>2025-06-03T00:00:00Z</published>
<summary type="text">A common fixed point theorem and its application in dynamic programming
CHENIKHAR, Safa
This master’s thesis establishes a significant common fixed point theorem for four self-mappings&#13;
&#13;
defined on complete metric spaces, under the assumptions of weak compatibility and a gener-&#13;
alized Φ-contraction condition. This contribution extends and generalizes previous results in&#13;
&#13;
fixed point theory, demonstrating its applicability by solving functional equations that arise in&#13;
dynamic programming. These equations typically represent recursive formulations of optimal&#13;
value functions in multistage decision processes.&#13;
The authors construct a comprehensive framework using metric fixed-point tools, ensuring&#13;
the existence and uniqueness of solutions to these functional systems. An illustrative example to&#13;
confirm the theoretical assumptions. This contribution effectively bridges abstract fixed-point&#13;
theory with applied optimization and control problems, enriching the mathematical foundation&#13;
of dynamic programming models and opening avenues for further research in optimization.
</summary>
<dc:date>2025-06-03T00:00:00Z</dc:date>
</entry>
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