Periodic boundary value problem for first-order impulsive functional differential equations
Journal of Computational and Applied Mathematics
Nonlinear Analysis: Theory, Methods & Applications
Periodic boundary value problems for delay differential equations with impulses
Journal of Computational and Applied Mathematics
Monotone method for first-order functional differential equations
Computers & Mathematics with Applications
Periodic boundary value problem for the first order impulsive functional differential equations
Journal of Computational and Applied Mathematics
Computers & Mathematics with Applications
Periodic boundary value problems for second-order impulsive integro-differential equations
Journal of Computational and Applied Mathematics
Periodic boundary value problem for first-order impulsive functional differential equations
Computers & Mathematics with Applications
Quasi-solutions for generalized second order differential equations with deviating arguments
Journal of Computational and Applied Mathematics
Boundary value problems for a class of impulsive functional equations
Computers & Mathematics with Applications
Multi-point boundary value problems for second-order functional differential equations
Computers & Mathematics with Applications
Periodic boundary value problems for first order functional differential equations with impulse
Journal of Computational and Applied Mathematics
Boundary value problems involving upper and lower solutions in reverse order
Journal of Computational and Applied Mathematics
Periodic boundary value problem for the second-order impulsive functional differential equations
Computers & Mathematics with Applications
Boundary value problem for first order impulsive functional integro-differential equations
Journal of Computational and Applied Mathematics
Hi-index | 7.31 |
We extend some results on existence and approximation of solution for a class of first-order functional differential equations with periodic boundary conditions. We show the validity of the monotone iterative technique under weaker hypotheses and present some examples.