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Near-Optimal Algorithms for Maximum Constraint Satisfaction Problems Moses Charikar Konstantin Makarychev
Near-Optimal Algorithms for Maximum Constraint Satisfaction Problems Moses Charikar Konstantin Makarychev

An Algorithm for Solving Scaled Total Least Squares Problems
An Algorithm for Solving Scaled Total Least Squares Problems

... where UA ∈ Rm×m and VA ∈ Rn×n are orthogonal, ΣA = diag(σ1 (A), ..., σk (A)), σ1 (A) ≥ · · · ≥ σk (A) > 0, and UA1 and UA2 are respectively the first k columns and the last m − k columns of UA . The STLS problem can be solved by using the SVD [10]. Specifically, the solution λxSTLS T + = −V12 (v22 ...
TCSS 343: Large Integer Multiplication Suppose we want to multiply
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pptx
pptx

Algorithms with large domination ratio, J. Algorithms 50
Algorithms with large domination ratio, J. Algorithms 50

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... important in this problem, since there is no way of making a 14 cm path in an orthogonal route. ...
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Hierarchy in lexical organisation of natural languages - Hal-SHS

... high 'clustering coefficient' and a short 'characteristic path length'. The clustering coefficient is a measure of how tightly the neighbors of a node in the graph are connected to each other. Numerically, it is defined as the proportion of pairs of nodes linked with one another among all the neighb ...
CS173: Discrete Math
CS173: Discrete Math

... • At each iteration, 2 comparisons are used • For example, 2 comparisons are used when the list has 2k-1 elements, 2 comparisons are used when the list has 2k-2, …, 2 comparisons are used when the list has 21 elements • 1 comparison is ued when the list has 1 element, and 1 more comparison is used t ...
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The Simulated Greedy Algorithm for Several Submodular Matroid Secretary Problems Princeton University
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as a PDF
as a PDF

... to guess the assignment and test its feasibility, which can be done in linear time in the number of parallel and alternative subgraphs (and hence in the number of edges). For the NP-hardness, we shall show that the 3SAT problem, which is known to be NP-complete, can be reduced (in a polynomial time) ...
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Low Complexity Stable Link Scheduling for Maximizing Throughput
Low Complexity Stable Link Scheduling for Maximizing Throughput

... control overhead O(k) that achieves k/(k +2) efficiency ratio. Our results: Our main contributions are as follows. It is known that pick and compare scheme provides 100% throughput guarantee if we can pick an optimum scheduling with at least a constant probability, but it may have a very large time ...
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... At RIMA node: If destination is within a neighborhood or it is on the path to other RIMA node and feasible path exist,  then RIMA node directly sends the mobile agent to destination node  otherwise RIMA node sends the mobile agent to next hop RIMA node on the path which satisfies QoS constraints W ...
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Dijkstra's algorithm

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