Get personalized book recommendations based on your reading history and preferences. Our algorithm analyzes your favorite books and reading patterns to suggest your next great read.

"Multivariable Functions" as a book category encompasses texts devoted to the theory, computation and applications of functions that depend on two or more variables. Typical treatments cover core ideas like partial and directional derivatives, gradients and Hessians, Jacobians and the chain rule, multiple integration and change of variables, extrema and Lagrange multipliers, Taylor expansions, vector- and scalar-valued mappings, and introductory topics in vector calculus and differential geometry. Books in this category range from introductory undergraduate calculus/analysis and worked-problem guides to advanced monographs on multivariable analysis, optimization, partial differential equations, and numerical and visualization techniques, and they serve students and practitioners in mathematics, physics, engineering, economics, and data science.

Filter books by their publication year. Enter the earliest year (Start) and latest year (End) to find books published within that period. Leave either field empty to search from the beginning of time or up to the present day.