The total derivative of a function assigns for every point of the domain a linear map with same domain, which is the best linear approximation to the function value around this point, i.e. the tangent plane.
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A total derivative accounts for every dependence of a quantity on the variable of differentiation. For a differentiable function evaluated along differentiable coordinate functions , the multivariable chain rule givesAll the partial derivatives on the right are evaluated at . The first term captures explicit dependence on ; the remaining terms capture changes transmitted through the coordinates.
For example, take and . The partial derivative with respect to , holding fixed, is , whose value on the path is . The total derivative is insteadAt , the partial derivative is and the total derivative is . The difference is the contribution from changing .
If the composite function is continuously differentiable on , the fundamental theorem of calculus givesThis is the sense in which an integrated total derivative contributes endpoint terms. The endpoint statement concerns the whole composite function along the path. [ref]
https://openstax.org/books/calculus-volume-3/pages/4-5-the-chain-rule. OpenStax, Calculus Volume 3: the chain rule with dependent variables
.The total derivative is a concept from calculus that extends the idea of a derivative to functions of multiple variables. It takes into account how a function changes as all of its input variables change simultaneously.