Submodular Function Minimization and Maximization in Discrete Convex Analysis (Combinatorial Optimization and Discrete Algorithms)
スポンサーリンク
概要
著者
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MUROTA Kazuo
Department of Mathematical Informatics, Graduate School of Information Science and Technology, Unive
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Murota Kazuo
Department Of Mathematical Informatics Graduate School Of Information Science And Technology Univers
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Murota Kazuo
Department Of Mathematical Engineering And Instrumentation Physics Faculty Of Engineering University
関連論文
- Submodular Function Minimization and Maximization in Discrete Convex Analysis (Combinatorial Optimization and Discrete Algorithms)
- Complex-Analytic Approach to the Sinc-Gauss Sampling Formula
- A numerical algorithm for block-diagonal decomposition of matrix *-algebras with general irreducible components
- Matroidal Approach to the Structural Solvability of a System of Equations
- Application of M-Convex Submodular Flow Problem to Mathematical Economics
- Parameter Tuning and Repeated Application of the IMT-Type Transformation in Numerical Quadrature (Numerical Integration and Related Topics)
- A numerical algorithm for block-diagonal decomposition of matrix *-algebras with application to semidefinite programming
- Rigorous Proof of Cubic Convergence for the dqds Algorithm for Singular Values
- M-Convex Functions and Tree Metrics
- A note on the dqds algorithm with Rutishauser's shift for singular values
- Legendre duality in combinatorial study of matrix pencils
- Error-controlling algorithm for simultaneous block-diagonalization and its application to independent component analysis
- Preface to the special issue on discrete structure and optimization