Symmetry Process Optimization (12 results)

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  • Language: English

    Published by Mdpi AG, 2026

    3725872783 / 9783725872787

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  • Language: English

    Published by Mdpi AG, 2026

    3725872783 / 9783725872787

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  • Language: English

    Published by Mdpi AG, 2026

    3725872783 / 9783725872787

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  • Language: English

    Published by Mdpi AG, 2026

    3725872783 / 9783725872787

    • Hardcover

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  • Language: English

    Published by Mdpi AG, 2026

    3725872783 / 9783725872787

    • Hardcover

    Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK

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  • Language: English

    Published by Mdpi AG, 2026

    3725872783 / 9783725872787

    • Hardcover
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    Hardcover. Condition: new. Hardcover. The Reprint Symmetry in Process Optimization presents a curated collection of peer-reviewed contributions that demonstrate the role of symmetry principles in enhancing optimization methods across multiple scientific and engineering domains. The included studies cover theoretical developments, algorithm design, and practical applications, including scheduling, machine learning, additive manufacturing, control systems, and decision making. By integrating symmetry concepts with modern optimization techniques, the contributions highlight improvements in computational efficiency, robustness, and solution quality. The Reprint reflects interdisciplinary collaboration and provides insights into how symmetry-driven approaches can address complex real-world problems. It serves as a valuable reference for researchers and practitioners interested in advanced optimization strategies and their applications in contemporary science and engineering. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Language: English

    Published by MDPI AG, 2026

    3725872783 / 9783725872787

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  • Language: English

    Published by MDPI AG, 2026

    3725872783 / 9783725872787

    • Hardcover
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  • Language: English

    Published by Mdpi AG, 2026

    3725872783 / 9783725872787

    • Hardcover
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    Hardcover. Condition: new. Hardcover. The Reprint Symmetry in Process Optimization presents a curated collection of peer-reviewed contributions that demonstrate the role of symmetry principles in enhancing optimization methods across multiple scientific and engineering domains. The included studies cover theoretical developments, algorithm design, and practical applications, including scheduling, machine learning, additive manufacturing, control systems, and decision making. By integrating symmetry concepts with modern optimization techniques, the contributions highlight improvements in computational efficiency, robustness, and solution quality. The Reprint reflects interdisciplinary collaboration and provides insights into how symmetry-driven approaches can address complex real-world problems. It serves as a valuable reference for researchers and practitioners interested in advanced optimization strategies and their applications in contemporary science and engineering. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

  • Language: English

    Published by Mdpi AG, 2026

    3725872783 / 9783725872787

    • Hardcover
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    Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

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    Hardcover. Condition: new. Hardcover. The Reprint Symmetry in Process Optimization presents a curated collection of peer-reviewed contributions that demonstrate the role of symmetry principles in enhancing optimization methods across multiple scientific and engineering domains. The included studies cover theoretical developments, algorithm design, and practical applications, including scheduling, machine learning, additive manufacturing, control systems, and decision making. By integrating symmetry concepts with modern optimization techniques, the contributions highlight improvements in computational efficiency, robustness, and solution quality. The Reprint reflects interdisciplinary collaboration and provides insights into how symmetry-driven approaches can address complex real-world problems. It serves as a valuable reference for researchers and practitioners interested in advanced optimization strategies and their applications in contemporary science and engineering. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

  • Language: English

    Published by MDPI AG, 2026

    3725872783 / 9783725872787

    • Hardcover
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    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Reprint Symmetry in Process Optimization presents a curated collection of peer-reviewed contributions that demonstrate the role of symmetry principles in enhancing optimization methods across multiple scientific and engineering domains. The included studies cover theoretical developments, algorithm design, and practical applications, including scheduling, machine learning, additive manufacturing, control systems, and decision making. By integrating symmetry concepts with modern optimization techniques, the contributions highlight improvements in computational efficiency, robustness, and solution quality. The Reprint reflects interdisciplinary collaboration and provides insights into how symmetry-driven approaches can address complex real-world problems. It serves as a valuable reference for researchers and practitioners interested in advanced optimization strategies and their applications in contemporary science and engineering.…

  • Language: English

    Published by MDPI AG, 2026

    3725872783 / 9783725872787

    • Hardcover
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    Seller: preigu, Osnabrück, Germanypreigu

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    Buch. Condition: Neu. Symmetry in Process Optimization | Buch | Englisch | 2026 | MDPI AG | EAN 9783725872787 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.