We present efficient approximation algorithms for a number of problems that call for computing the prices that maximize the revenue of the seller on a set ...
Oct 22, 2024 · In this analysis, it is shown that delegating the pricing responsibility to the salesperson is as profitable as centralization when the ...
We present efficient approximation algorithms for a number of problems that call for computing the prices that maximize the revenue of the seller on a set ...
We present efficient approximation algorithms for a number of problems that call for computing the prices that maximize the rev- enue of the seller on a set of ...
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Near-Optimal Pricing in Near-Linear Time - Microsoft Research
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Aug 1, 2005 · We present efficient approximation algorithms for a number of problems that call for computing the prices that maximize the revenue of the ...
Given a bound k on the number of intervals, we give an algorithm that uses a near-optimal sample size, runs in near-linear time (in its sample size), and ...
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Apr 27, 2023 · This paper reports an analysis of near-optimal Blocks World planning. Various methods are clarified, and their time complexity is shown to ...
Aug 5, 2019 · This paper focuses on the cases where a laminar matroid characterizes the set of served buyers. We give the first Polynomial-Time Approximation Scheme (PTAS) ...
We study the differentially private (DP) k-means and k-median clustering problems of n points in d-dimensional Euclidean space in the massively parallel ...