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Record W1569810017 · doi:10.1109/icc.2005.1494327

IDA* MCSP: a fast exact MCSP algorithm

2005· article· en· W1569810017 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMobile Agent-Based Network Management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAlgorithmComputer sciencePath (computing)Routing (electronic design automation)Approximation algorithmMathematical optimizationMathematics

Abstract

fetched live from OpenAlex

QoS routing has been shown to be NP-hard. A recent study of its hardness suggests that the "worst-case" may not occur in practice, and thus there may exist a fast exact algorithm. We deploy the idea of iterative deepening search and look ahead to design an exact algorithm for finding the shortest path subject to multiple constraints (the MCSP problem). The accuracy of look-ahead information determines the efficiency of a search algorithm. The higher the accuracy of the look-ahead information, the more efficient the search process. An empirical study on a wide range of topologies shows the high accuracy of look-ahead information in the studied cases. Experimental results also show that our algorithm, IDA*/spl I.bar/MCSP, is fast and, in general, significantly outperforms A*Prune, an algorithm designed for the MCSP problem. The characteristics of iterative deepening search and the high accuracy of look-ahead information make IDA*/spl I.bar/MCSP a fast exact algorithm for the MCSP problem.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.918
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.221
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations3
Published2005
Admission routes1
Has abstractyes

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