Pages that link to "Item:Q1572741"

The following pages link to Average-case analysis of numerical problems (Q1572741):

Displaying 50 items.

• A simplified criterion for quasi-polynomial tractability of approximation of random elements and its applications (Q272187) (← links)
• Average sampling numbers of multivariate periodic function spaces with a Gaussian measure (Q306689) (← links)
• Optimal global approximation of stochastic differential equations with additive Poisson noise (Q329304) (← links)
• Global smoothness estimation of a Gaussian process from general sequence designs (Q405335) (← links)
• Linear \(n\)-widths of diagonal matrices in the average and probabilistic settings (Q418714) (← links)
• Mercer's theorem on general domains: on the interaction between measures, kernels, and RKHSs (Q431161) (← links)
• Estimating the order of mean-square derivatives with quadratic variations (Q453781) (← links)
• A survey of average case complexity for linear multivariate problems (Q462594) (← links)
• On the complexity of computing quadrature formulas for marginal distributions of SDEs (Q479002) (← links)
• Probabilistic and average widths of Sobolev spaces on compact two-point homogeneous spaces equipped with a Gaussian measure (Q485319) (← links)
• Adaptive approximation of the minimum of Brownian motion (Q511112) (← links)
• A lower bound on complexity of optimization under the \(r\)-fold integrated Wiener measure (Q544129) (← links)
• A note on level-2 condition numbers (Q558006) (← links)
• On the optimal approximation rate of certain stochastic integrals (Q606672) (← links)
• Spline approximation of a random process with singularity (Q619810) (← links)
• The average errors for Hermite-Fejér interpolation on the Wiener space (Q625778) (← links)
• Tractability of infinite-dimensional integration in the worst case and randomized settings (Q647921) (← links)
• Integration error for multivariate functions from anisotropic classes (Q652456) (← links)
• Approximation of multivariate periodic functions on the space with a Gaussian measure (Q663645) (← links)
• Gamblets for opening the complexity-bottleneck of implicit schemes for hyperbolic and parabolic ODEs/PDEs with rough coefficients (Q683388) (← links)
• On average complexity of global optimization problems (Q687095) (← links)
• Linear vs standard information for scalar stochastic differential equations (Q700169) (← links)
• Average case complexity of weighted approximation and integration over \(\mathbb R_{+}\) (Q700174) (← links)
• Probabilistic and average widths of multivariate Sobolev spaces with mixed derivative equipped with the Gaussian measure (Q706793) (← links)
• Adaptive Itô-Taylor algorithm can optimally approximate the Itô integrals of singular functions (Q711243) (← links)
• Breaking the curse for uniform approximation in Hilbert spaces via Monte Carlo methods (Q722763) (← links)
• s-numbers in information-based complexity (Q757049) (← links)
• Infinite-dimensional quadrature and approximation of distributions (Q839653) (← links)
• Estimation of number of the derivatives of a Gaussian process (Q869469) (← links)
• Asymptotic analysis of average case approximation complexity of Hilbert space valued random elements (Q890228) (← links)
• Quadrature for self-affine distributions on \(\mathbb R^d\) (Q895698) (← links)
• Approximation in probability of tensor product-type random fields of increasing parametric dimension (Q906015) (← links)
• Approximation complexity of additive random fields (Q933416) (← links)
• The complexity of function approximation on Sobolev spaces with bounded mixed derivative by linear Monte Carlo methods (Q933418) (← links)
• Multivariate \(L_{\infty}\) approximation in the worst case setting over reproducing kernel Hilbert spaces (Q935068) (← links)
• Assessing the number of mean square derivatives of a Gaussian process (Q952829) (← links)
• Approximation of functions on the Sobolev space with a Gaussian measure (Q963682) (← links)
• Best approximation of functions on the ball on the weighted Sobolev space equipped with a Gaussian measure (Q979034) (← links)
• Multi-level Monte Carlo algorithms for infinite-dimensional integration on \(\mathbb R^{\mathbb N}\) (Q983180) (← links)
• On the power of standard information for multivariate approximation in the worst case setting (Q1019157) (← links)
• New averaging technique for approximating weighted integrals (Q1023278) (← links)
• Optimal recovery on the classes of functions with bounded mixed derivative (Q1034252) (← links)
• On the power of standard information for \(L_{\infty}\) approximation in the randomized setting (Q1035792) (← links)
• The average errors for the Grünwald interpolation in the Wiener space (Q1040128) (← links)
• Linear average and stochastic \(n\)-widths of Besov embeddings on Lipschitz domains (Q1040851) (← links)
• Linear information for approximation of the Itô integrals (Q1047177) (← links)
• The average a posteriori error of numerical methods (Q1071476) (← links)
• Average case optimality (Q1071513) (← links)
• Deterministic and stochastic error bounds in numerical analysis (Q1210836) (← links)
• Average case \(L_\infty\)-approximation in the presence of Gaussian noise (Q1266109) (← links)