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Strong Partitioning and a Machine Learning Approximation for Accelerating the Global Optimization of Nonconvex Quadratically Constrained Quadratic Programs.

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Title: Strong Partitioning and a Machine Learning Approximation for Accelerating the Global Optimization of Nonconvex Quadratically Constrained Quadratic Programs.
Authors: Kannan, Rohit1 (AUTHOR) rohitkannan@vt.edu, Nagarajan, Harsha2 (AUTHOR) harsha@lanl.gov, Deka, Deepjyoti3 (AUTHOR) deepj87@mit.edu
Source: INFORMS Journal on Computing. Sep2025, p1. 21p.
Database: Business Source Ultimate
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An: 188104544
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  Data: Strong Partitioning and a Machine Learning Approximation for Accelerating the Global Optimization of Nonconvex Quadratically Constrained Quadratic Programs.
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      – Type: doi
        Value: 10.1287/ijoc.2023.0424
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      – Code: eng
        Text: English
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        PageCount: 21
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      – TitleFull: Strong Partitioning and a Machine Learning Approximation for Accelerating the Global Optimization of Nonconvex Quadratically Constrained Quadratic Programs.
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            NameFull: Nagarajan, Harsha
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            – D: 19
              M: 09
              Text: Sep2025
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