Results 81 to 90 of about 71,119 (185)
Gradient-Based, Post-Optimality Sensitivity Analysis with Respect to Parameters of State Equations
DesignsDesign optimization is a computational tool that can enable a designer to investigate the effectiveness of a design concept in an organized format. However, this design process requires the design variables, constraints, and objective function to be ...
Gene Hou, Jonathan DeGroff
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An application of a linear programing technique to nonlinear minimax problems [PDF]
A differential correction technique for solving nonlinear minimax problems is presented. The basis of the technique is a linear programing algorithm which solves the linear minimax problem.
Schiess, J. R.
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Engineering Reports, Volume 8, Issue 3, March 2026.This work presents a deep learning framework for sealant inspection in automotive manufacturing, leveraging synthetic data to address the scarcity of real defects. Integrated with state‐of‐the‐art deep learning methods, the approach enhances anomaly detection and localization, demonstrating practical applicability and robustness under real‐world ...
Francesco Manigrasso +3 more
wiley +1 more source
, 1975 In 1972, L. McLinden [3,4] proposed a perturbation method in order to build the dual of a minimax problem. This method is similar to Rockafellar’s for dual minimization problems but is much more complicated for several technical reasons. In particular, McLinden permanently works with classes of equivalent convex-concave functionals.
openaire +1 more source
A linear response bandit problem
Stochastic Systems, 2013 We consider a two–armed bandit problem which involves sequentialsampling from two non-homogeneous populations. The responsein each is determined by a random covariate vector and a vector ofparameters whose values are not known a priori.The goal is to ...
Assaf Zeevi, Alexander Goldenshluger
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Advanced Engineering Research, 2011 V.N.Plotnikov - V.J.Zverev list algorithm is examined. Minimax, quadratic and cubic criteria are used. The software for the analysis of criteria efficiency is developed.
Valery G. Kobak, Mikhail A. Muratov
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, 2017 This paper continues the research started in \cite{LW16}. In the framework of the convolution structure density model on $\bR^d$, we address the problem of adaptive minimax estimation with $\bL_p$--loss over the scale of anisotropic Nikol'skii classes ...
Lepski, Oleg, Willer, Thomas
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Minimax Normal Two-Armed Bandit with Indefinite Control Horizon
ITM Web of Conferences, 2017 We consider the two-armed bandit problem as applied to data processing if there are two alternative processing methods available with different a priori unknown efficiencies.
Kolnogorov Alexander
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Robust Estimation of Some Nonregular Parameters [PDF]
This paper develops optimal estimation of a potentially nondifferentiable functional Г(β) of a regular parameter β, when Г satisfies certain conditions.
Kyungchul Song
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Mathematics, 2019 This article is devoted to discussing the nondifferentiable minimax fractional programming problem with type-I functions. We focus our study on a nondifferentiable minimax fractional programming problem and formulate a higher-order dual model.
Ramu Dubey +2 more
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