Searching for "Sub-optimality Approximations." – sorted by Relevance.
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Sub-Optimality Approximation
- Sub-Optimality Approximations Russell Bent 1 , Irit Katriel 2 , and Pascal Van Hentenryck 1 1
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Optimal Filtering and Smoothing for Speech Recognition Using a Stochastic Target Model
- integral equations. A sub-optimal approximation is developed, and illustrated using examples taken from
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Online stochastic reservation systems
- . On the theoretical side, it presents a constant sub-optimality approximation of multi-knapsack problems, leading to a
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Approximation and Comparison for Non-Smooth Anisotropic Motion By Mean Curvature in . . .
- . Bellettini and M. Novaga Abstract We prove that a reaction-diffusion inclusion provides a sub-optimal
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Reduced-Search Dynamic Programming for Approximation of Polygonal Curves
- , and the fast but sub-optimal algorithms by giving a new near-optimal approximation algorithm based on reduced
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Efficient Algorithms for Matching Attributed Graphs and Function-Described Graphs
- of that matching algorithm is exponential in the number of nodes, an approximate algorithm to compute a sub-optimal
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Approximation of Linear Operators in the 2-Norm
- + oe 2 u 2 v 2 + \Delta \Delta \Delta oe k u k v k (1.4) 1.2 Sub-optimal approximation in the 2
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Compressed Piecewise-Circular Approximations of 3D Curves
- % of the cases, and thus leads to always valid, although sometimes (rarely) slightly sub-optimal approximations
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Approximation of Linear Dynamical Systems
- .6.2, formulates the main result of optimal and sub-optimal approximation in the Hankel norm. The fundamental
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A Literature Study on Scheduling in Distributed Systems
- ............................. 2.2 Static scheduling algorithms ............................ 2.2.1 Optimal versus sub-optimal
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