Approximation methods in function spaces characterise how well complex functions can be represented or recovered using limited information such as function values or linear measurements. Central to ...
Covers asymptotic evaluation of integrals (stationary phase and steepest descent), perturbation methods (regular and singular methods, and inner and outer expansions), multiple scale methods, and ...
Approximation theory investigates how complex functions or data can be represented by simpler mathematical entities—such as polynomials, splines, wavelets or ...
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