Time integration algorithms are numerical methods used to solve differential equations by advancing the solution through discrete time steps, crucial for simulating dynamic systems in fields like physics and engineering. They balance accuracy, stability, and computational cost, with choices such as explicit or implicit methods impacting performance based on the problem's characteristics.