Citation:
Mixed partial derivatives refer to the second-order derivatives of a multivariable function, where the differentiation is performed with respect to different variables in succession. This concept helps analyze how a function behaves with respect to changes in multiple inputs, revealing interactions between those variables. Mixed partial derivatives are crucial when dealing with functions of two or more variables, especially in optimization problems and understanding surface curvature.