Multistep methods are numerical techniques used to solve ordinary differential equations by utilizing multiple past points to estimate the future value, thereby improving accuracy and stability over single-step methods. These methods are particularly useful for stiff equations and can be categorized into explicit and implicit forms, such as Adams-Bashforth and Adams-Moulton methods, respectively.