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Showing 1 to 13 of 13 for “"Approximation Factor"”.

  1. Approximation Algorithms using Allegories and Coq

    In this thesis, we implement several approximation algorithms for solving optimization problems on graphs. The result computed by the algorithm may or may not be optimal. The approximation factor of an algorithm indicates how close the computed result is to an optimal solution. We are going to …

    brock Repository record for Approximation Algorithms using Allegories and Coq (opens in a new tab)

  2. Facility location and the analysis of algorithms through factor-revealing programs

    … much effort has been devoted to designing approximation algorithms for it. As our main result, we introduce a method called dual fitting and use it in conjunction with factor-revealing programs to obtain improved approximation algorithms for the UFLP. Our best algorithm achieves an …

    mit Repository record for Facility location and the analysis of algorithms through factor-revealing programs (opens in a new tab)

  3. Algorithmic embeddings

    … and the distortion of the embedding is the factor by which the distances change. We have pioneered theoretical work on relative (or approximation) version of this problem. In this setting, the question is the following: for the class of metrics C, and a host metric M', what is the smallest …

    mit Repository record for Algorithmic embeddings (opens in a new tab)

  4. Three essays on sequencing and routing problems

    … of problems are sequencing problems. We study approximation algorithms and local search heuristics for these problems. First, we analyze the Vehicle Routing Problem (VRP) with and without split deliveries. In this problem, we have to route vehicles from the depot to deliver the demand to the …

    mit Repository record for Three essays on sequencing and routing problems (opens in a new tab)

  5. New sublinear methods in the struggle against classical problems

    We study the time and query complexity of approximation algorithms that access only a minuscule fraction of the input, focusing on two classical sources of problems: combinatorial graph optimization and manipulation of strings. The tools we develop find applications outside of the area of sublinear …

    mit Repository record for New sublinear methods in the struggle against classical problems (opens in a new tab)

  6. Fair allocation of operations and makespan minimization for multiple robotic agents

    We study the problem of allocating a set of indivisible operations to a set of agents in a fair and efficient manner while also minimizing the makespan. We first present the Operation Trading Algorithm that generates allocations satisfying the DEQx (Duplicated Equitability up to any operation) …

    uiuc Repository record for Fair allocation of operations and makespan minimization for multiple robotic agents (opens in a new tab)

  7. Scalable and Efficient Graph Algorithms and Analysis Techniques for Modern Machines

    … and show improvements in number of rounds and approximation factor, compared to the previous state-of-the-art, in real-world graphs. We conclude this part with a near-linear time scheduling algorithm for scheduling on identical machines with communication delay where precedence constrained jobs …

    mit Repository record for Scalable and Efficient Graph Algorithms and Analysis Techniques for Modern Machines (opens in a new tab)

  8. Finding Patterns, Short Cycles and Long Shortest Paths in Graphs

    … is known to be hard. There is a folklore 2- approximation algorithm for the diameter that works in linear time, and we show that this algorithm is optimal conditioned on the Strong Exponential Time Hypothesis (SETH). Our result shows that any better than 2-approximation algorithm for the …

    mit Repository record for Finding Patterns, Short Cycles and Long Shortest Paths in Graphs (opens in a new tab)

  9. Fault tolerant Euclidean K-Centers

    … an O(nk/ℓ)-time algorithm that computes a 2-approximation, offering an efficient and practical solution with provable guarantees.

    manitoba Repository record for Fault tolerant Euclidean K-Centers (opens in a new tab)

  10. Approximation algorithms for spectrum allocation and power control in wireless networks

    … of capacity maximization, we present constant-factor approximations. In the case of latency-minimization, they directly yield centralized O(log n)-approximation algorithms. We also analyze a distributed algorithm for latency minimization with fixed transmit powers and show it to be an O(log² …

    aachen Repository record for Approximation algorithms for spectrum allocation and power control in wireless networks (opens in a new tab)

  11. New Models And Algorithms For Distribution Testing: Beyond Standard Sampling

    … if the predictor is correct up to a constant approximation factor, then the sample complexity can be reduced significantly, to log(1/𝜀)· 𝑁¹⁻ᶿ⁽¹⸍ ˡᵒᵍ⁽¹⸍𝜀⁾⁾ . In addition, we evaluate the proposed algorithms on a collection of data sets, using the neural-network based estimators from Hsu et al. …

    mit Repository record for New Models And Algorithms For Distribution Testing: Beyond Standard Sampling (opens in a new tab)

  12. On Reducing Delays in P2P Live Streaming Systems

    … We then present a polynomial-time approximation algorithm, called Fastream-I, for this problem, and show that the performance of Fastream-I is bounded by a ratio of O(SQRT(log n)), where n is the number of peers in the system. We also develop a distributed version of Fastream-I that …

    vt Repository record for On Reducing Delays in P2P Live Streaming Systems (opens in a new tab)

  13. The complexity of Nash Equilibria, Local Optima, and Pareto-Optimal solutions

    … instances both with respect to running time and approximation ratio. We present, for every p, a family of two-dimensional Lp instances on which 2-Opt can take an exponential number of steps. In order to explain the discrepancy between this worst-case result and the observations in practice, we …

    aachen Repository record for The complexity of Nash Equilibria, Local Optima, and Pareto-Optimal solutions (opens in a new tab)