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      Nonlinear combinatorial optimization

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      https://www.riss.kr/link?id=M16499818

      • 저자
      • 발행사항

        Cham: Springer, 2019

      • 발행연도

        2019

      • 작성언어

        영어

      • 주제어
      • DDC

        515/.64 판사항(23)

      • ISBN

        9783030161934 (hbk.): €119.99
        3030161935 (hbk.)

      • 자료형태

        단행본(다권본)

      • 발행국(도시)

        스위스

      • 서명/저자사항

        Nonlinear combinatorial optimization / Ding-Zhu Du, Panos M. Pardalos, Zhao Zhang, editors.

      • 형태사항

        viii, 315 p.: ill.; 25 cm.

      • 총서사항

        Springer optimization and its applications; volume 147 Springer optimization and its applications ; v. 147

      • 일반주기명

        Includes bibliographical references
        A role of minimum spanning tree -- Discrete Newton method -- An overview of submodular optimization: single- and multi-objectives -- Discrete convex optimization and applications in supply chain management -- Thresholding methods for streaming submodular maximization with a cardinality constraint and its variants -- Nonsubmodular optimization -- On block-structured integer programming and its applications -- Online combinatorial optimization problems with nonlinear objectives -- Solving combinatorial problems with machine learning methods -- Modeling malware propagation dynamics and developing prevention method in wireless sensor networks -- Composed influence in social networks -- Friending -- Optimization on content spread in social network studies -- Interation-aware influence maximization in social networks -- Multi-document extractive summarization as a nonlinear combinatorial optimization- Viral marketing for complementary products

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      목차 (Table of Contents)

      • 자료제공 : aladin
      • A role of minimum spanning tree.- Discrete Newton method.- An overview of submodular optimization: single- and multi-objectives.- Discrete convex optimization and applications in supply chain management.- Thresholding methods for streaming submodular maximization with a cardinality constraint and its variants.- Nonsubmodular optimization.- On block-structured integer programming and its applications.- Online combinatorial optimization problems with nonlinear objectives.- Solving combinatorial problems with machine learning methods.- Modeling malware propagation dynamics and developing prevention method in wireless sensor networks.- Composed influence in social networks.- Friending.- Optimization on content spread in social network studies.- Interation-aware influence maximization in social networks.- Multi-document extractive summarization as a nonlinear combinatorial optimization- Viral marketing for complementary products.
      • 자료제공 : aladin
      • A role of minimum spanning tree.- Discrete Newton method.- An overview of submodular optimization: single- and multi-objectives.- Discrete convex optimization and applications in supply chain management.- Thresholding methods for streaming submodular maximization with a cardinality constraint and its variants.- Nonsubmodular optimization.- On block-structured integer programming and its applications.- Online combinatorial optimization problems with nonlinear objectives.- Solving combinatorial problems with machine learning methods.- Modeling malware propagation dynamics and developing prevention method in wireless sensor networks.- Composed influence in social networks.- Friending.- Optimization on content spread in social network studies.- Interation-aware influence maximization in social networks.- Multi-document extractive summarization as a nonlinear combinatorial optimization- Viral marketing for complementary products.
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      Nonlinear Combinatorial Optimization (Hardcover, 2019)

      판매중 226,480원 185,710원 (18%)

      종이책 구매

      9,290포인트
      예스24.com

      Nonlinear Combinatorial Optimization

      판매중 262,480원 236,230원 (10%)

      종이책 구매

      11,820포인트 (5%)
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      자료제공 : NAVER

      Nonlinear Combinatorial Optimization 양장본 Hardcover

      Graduate students and researchers in applied mathematics, optimization, engineering, computer science, and management science will find this book a useful reference which provides an introduction to applications and fundamental theories in nonlinear combinatorial optimization.

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