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Cambridge monographs on applied and computational mathematics
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learning theory :
learning theory :
iterative krylov methods for large l...
iterative krylov methods for large linear systems
topology for computing /
topology for computing /
quasi-interpolation
quasi-interpolation
learning theory
learning theory
simulating hamiltonian dynamics
simulating hamiltonian dynamics
topology for computing /
topology for computing /
christoffel-darboux kernel for data ...
christoffel-darboux kernel for data analysis
practical guide to pseudospectral me...
practical guide to pseudospectral methods /
matrix preconditioning techniques an...
matrix preconditioning techniques and applications
practical guide to pseudospectral me...
practical guide to pseudospectral methods /
christoffel-darboux kernel for data ...
christoffel-darboux kernel for data analysis /
partial differential equation method...
partial differential equation methods for image inpainting /
level set methods and fast marching ...
level set methods and fast marching methods :
geometry of the phase retrieval problem
geometry of the phase retrieval problem
topology for computing
topology for computing
spectral methods for time-dependent ...
spectral methods for time-dependent problems /
algebraic geometry and statistical l...
algebraic geometry and statistical learning theory /
difference equations by differential...
difference equations by differential equation methods /
radial basis functions
radial basis functions
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