
Dans cet article, nous proposons un processus d'itération en trois étapes et analysons la performance du processus pour un opérateur de type contractuel. On observe que cette procédure itérative est plus rapide que plusieurs méthodes itératives dans la littérature existante. Pour appuyer la revendication, un exemple numérique est présenté à l'aide de Maple 13. Certaines images sont générées en utilisant cette méthode d'itération pour des polynômes cubiques complexes. Nous pensons que nos travaux présentés enrichissent le logiciel de polynomiographie.
En este documento, proponemos un proceso de iteración de tres pasos y analizamos el rendimiento del proceso para un operador de tipo contractivo. Se observa que este procedimiento iterativo es más rápido que varios métodos iterativos en la literatura existente. Para respaldar la afirmación, se presenta un ejemplo numérico utilizando Maple 13. Algunas imágenes se generan utilizando este método de iteración para polinomios cúbicos complejos. Creemos que nuestro trabajo presentado enriquece el software de polinomiografía.
In this paper, we propose a three step iteration process and analyze the performance of the process for a contractive-like operators. It is observed that this iterative procedure is faster than several iterative methods in the existing literature. To support the claim, a numerical example is presented using Maple 13. Some images are generated by using this iteration method for complex cubic polynomials. We believe that our presented work enrich the polynomiography software.
في هذه الورقة، نقترح عملية تكرار من ثلاث خطوات ونحلل أداء العملية للمشغلين الشبيهين بالتعاقد. ويلاحظ أن هذا الإجراء التكراري أسرع من العديد من الأساليب التكرارية في الأدبيات الحالية. لدعم المطالبة، يتم تقديم مثال رقمي باستخدام القيقب 13. يتم إنشاء بعض الصور باستخدام طريقة التكرار هذه لكثيرات الحدود المكعبة المعقدة. نحن نؤمن بأن عملنا المقدم يثري برنامج polynomiography.
Artificial intelligence, Class (philosophy), Convex Optimization, polynomials, Quadratic Programming, Economics, Iterative and incremental development, Fixed-point theorems, Fixed Point Theorems in Metric Spaces, Maple, Machine learning, QA1-939, FOS: Mathematics, Iterative Algorithms, Stability (learning theory), Biology, Economic growth, Fixed-point iterations, Numerical Analysis, convergence, Software engineering, Numerical Optimization Techniques, Numerical solutions to equations with nonlinear operators, Mathematical optimization, Botany, Iterative Algorithms for Nonlinear Operators and Optimization, Generalized Contractions, Applied mathematics, iterative schemes, Computer science, Iterative method, Process (computing), Programming language, Computational Theory and Mathematics, Contractive Mappings, contractive-like operators, Physical Sciences, Computer Science, Convergence (economics), Contraction-type mappings, nonexpansive mappings, \(A\)-proper mappings, etc., image generation, Geometry and Topology, Mathematics
Artificial intelligence, Class (philosophy), Convex Optimization, polynomials, Quadratic Programming, Economics, Iterative and incremental development, Fixed-point theorems, Fixed Point Theorems in Metric Spaces, Maple, Machine learning, QA1-939, FOS: Mathematics, Iterative Algorithms, Stability (learning theory), Biology, Economic growth, Fixed-point iterations, Numerical Analysis, convergence, Software engineering, Numerical Optimization Techniques, Numerical solutions to equations with nonlinear operators, Mathematical optimization, Botany, Iterative Algorithms for Nonlinear Operators and Optimization, Generalized Contractions, Applied mathematics, iterative schemes, Computer science, Iterative method, Process (computing), Programming language, Computational Theory and Mathematics, Contractive Mappings, contractive-like operators, Physical Sciences, Computer Science, Convergence (economics), Contraction-type mappings, nonexpansive mappings, \(A\)-proper mappings, etc., image generation, Geometry and Topology, Mathematics
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