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Calculus of variations
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=== Further applications === Further applications of the calculus of variations include the following: * The derivation of the [[catenary]] shape * Solution to [[Newton's minimal resistance problem]] * Solution to the [[Brachistochrone curve|brachistochrone]] problem * Solution to the [[Tautochrone curve|tautochrone problem]] * Solution to [[isoperimetric]] problems * Calculating [[geodesic]]s * Finding [[minimal surface]]s and solving [[Plateau's problem]] * [[Optimal control]] * [[Analytical mechanics]], or reformulations of Newton's laws of motion, most notably [[Lagrangian mechanics|Lagrangian]] and [[Hamiltonian mechanics]]; * Geometric optics, especially Lagrangian and [[Hamiltonian optics]]; * [[Variational method (quantum mechanics)]], one way of finding approximations to the lowest energy eigenstate or ground state, and some excited states; * [[Variational Bayesian methods]], a family of techniques for approximating intractable integrals arising in Bayesian inference and machine learning; * [[Variational methods in general relativity]], a family of techniques using calculus of variations to solve problems in Einstein's general theory of relativity; * [[Finite element method]] is a variational method for finding numerical solutions to boundary-value problems in differential equations; * [[Total variation denoising]], an [[image processing]] method for filtering high variance or noisy signals.
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