In this paper, we analyze the q-iterative schemes to determine the roots of nonlinear equations by applying the decomposition technique with Simpson’s 13-rule in the setting of q-calculus. We discuss the convergence analysis of our suggested iterative methods. To check the efficiency and performance, we also compare our main outcomes with some well known techniques existing in the literature
In this paper, we suggest and analyze two new algorithm of fourth and fifth order convergence. We re...
Optimization problems in disciplines such as machine learning are commonly solved with iterative met...
Numerous scientific and engineering applications require numerically solving systems of equations. C...
In this paper, we introduce some new quantum numerical techniques of midpoint and trapezoidal type e...
Quantum calculus (also known as the q-calculus) is a technique that is similar to traditional calcul...
The paper considers the Newton-Jacobi operator equation for the solution of nonlinear systems of equ...
When faced with a quantum-solving problem for partial differential equations, people usually transfo...
We introduce a sequence of third and fourth order iterative schemes to determine the roots of nonlin...
The q-difference equations are important in q-calculus. In this paper, we apply the iterative method...
AbstractIn this paper, we develop some new iterative methods for solving nonlinear equations by usin...
Quantum algorithm is an algorithm for solving mathematical problems using quantum systems encoded as...
In recent years, significant progress has been made in the development of quantum algorithms for lin...
We present quantum numerical methods for the typical initial boundary value problems (IBVPs) of conv...
Solving a quadratic nonlinear system of equations (QNSE) is a fundamental, but important, task in no...
In this thesis, I make a comparison of two quantum algorithms for solving systems of linear equation...
In this paper, we suggest and analyze two new algorithm of fourth and fifth order convergence. We re...
Optimization problems in disciplines such as machine learning are commonly solved with iterative met...
Numerous scientific and engineering applications require numerically solving systems of equations. C...
In this paper, we introduce some new quantum numerical techniques of midpoint and trapezoidal type e...
Quantum calculus (also known as the q-calculus) is a technique that is similar to traditional calcul...
The paper considers the Newton-Jacobi operator equation for the solution of nonlinear systems of equ...
When faced with a quantum-solving problem for partial differential equations, people usually transfo...
We introduce a sequence of third and fourth order iterative schemes to determine the roots of nonlin...
The q-difference equations are important in q-calculus. In this paper, we apply the iterative method...
AbstractIn this paper, we develop some new iterative methods for solving nonlinear equations by usin...
Quantum algorithm is an algorithm for solving mathematical problems using quantum systems encoded as...
In recent years, significant progress has been made in the development of quantum algorithms for lin...
We present quantum numerical methods for the typical initial boundary value problems (IBVPs) of conv...
Solving a quadratic nonlinear system of equations (QNSE) is a fundamental, but important, task in no...
In this thesis, I make a comparison of two quantum algorithms for solving systems of linear equation...
In this paper, we suggest and analyze two new algorithm of fourth and fifth order convergence. We re...
Optimization problems in disciplines such as machine learning are commonly solved with iterative met...
Numerous scientific and engineering applications require numerically solving systems of equations. C...