The following pages link to A. Zhigljavsky (Q211703):
Displaying 50 items.
- Achieving the ergodically optimal convergence rate for a one-dimensional minimization problem (Q1893073) (← links)
- Comparison of independent, stratified and random covering sample schemes in optimization problems (Q1921106) (← links)
- Optimal design for linear models with correlated observations (Q1952446) (← links)
- Stopping rules in \(k\)-adaptive global random search algorithms (Q1959253) (← links)
- Measures minimizing regularized dispersion (Q1999876) (← links)
- Multistart with early termination of descents (Q2022244) (← links)
- Simplicial and minimal-variance distances in multivariate data analysis (Q2074654) (← links)
- Random and quasi-random designs in group testing (Q2156803) (← links)
- Discrete uniform and binomial distributions with infinite support (Q2156892) (← links)
- Efficient quantisation and weak covering of high dimensional cubes (Q2167316) (← links)
- Minimum-energy measures for singular kernels (Q2196057) (← links)
- Singular spectrum analysis for time series (Q2212844) (← links)
- Covering of high-dimensional cubes and quantization (Q2225655) (← links)
- First passage times for Slepian process with linear and piecewise linear barriers (Q2231312) (← links)
- Approximations for the boundary crossing probabilities of moving sums of random variables (Q2241630) (← links)
- Blind deconvolution of covariance matrix inverses for autoregressive processes (Q2310396) (← links)
- The BLUE in continuous-time regression models with correlated errors (Q2313274) (← links)
- Approximating Shepp's constants for the Slepian process (Q2322664) (← links)
- Extremal measures maximizing functionals based on simplicial volumes (Q2374436) (← links)
- A new approach to optimal designs for correlated observations (Q2403430) (← links)
- Extended generalised variances, with applications (Q2405118) (← links)
- Selection of a covariance function for a Gaussian random field aimed for modeling global optimization problems (Q2414108) (← links)
- Optimal estimation of direction in regression models with large number of parameters (Q2422875) (← links)
- Bregman divergences based on optimal design criteria and simplicial measures of dispersion (Q2423177) (← links)
- Optimization challenges in the structured low rank approximation problem (Q2434635) (← links)
- Asymptotic distributions of statistics and parameter estimates for mixed Poisson processes (Q2455420) (← links)
- Stochastic global optimization. (Q2463939) (← links)
- Asymptotic behaviour of a family of gradient algorithms in \(\mathbb R^{ d }\) and Hilbert spaces (Q2492701) (← links)
- Kantorovich-type inequalities for operators via \(D\)-optimal design theory (Q2575706) (← links)
- Analysis of time series structure. SSA and related techniques (Q2712748) (← links)
- Analysis of performance of symmetric second-order line search algorithms through continued fractions (Q2729613) (← links)
- Some convergence properties of the steepest descent algorithm revealed by renormalisation. (Q2768064) (← links)
- Design for linear regression models with correlated errors (Q2799889) (← links)
- (Q2836310) (← links)
- Weighted norms in subspace-based methods for time series analysis (Q2955991) (← links)
- (Q2958609) (← links)
- Comparative Study of Different Penalty Functions and Algorithms in Survey Calibration (Q2958616) (← links)
- (Q3036172) (← links)
- (Q3134996) (← links)
- Singular Spectrum Analysis with R (Q3174851) (← links)
- On Random Search for a Global Extremum (Q3219372) (← links)
- (Q3336499) (← links)
- Deriving Approximations in a Random Effects Model for Multicenter Clinical Trials with Binary Response (Q3436008) (← links)
- Comparison of some random search procedures for a global extremum (Q3481174) (← links)
- (Q3481511) (← links)
- (Q3485761) (← links)
- (Q3524340) (← links)
- (Q3524353) (← links)
- Studying Convergence of Gradient Algorithms Via Optimal Experimental Design Theory (Q3567627) (← links)
- A Dynamical-System Analysis of the Optimum s-Gradient Algorithm (Q3567628) (← links)
