Searching for authors named "Kazuo Murota" – sorted by Relevance.
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Note on Multimodularity and L-Convexity
- MATHEMATICAL ENGINEERING TECHNICAL REPORTS Note on Multimodularity and L-Convexity Kazuo MUROTA
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On The Degree Of Mixed Polynomial Matrices
- ON THE DEGREE OF MIXED POLYNOMIAL MATRICES # KAZUO MUROTA + SIAM J. MATRIX ANAL. APPL. c # 1998
- Cited by 3 (2 self) – Add To MetaCart
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L-Convex Functions And M-Convex Functions
- p q = (max(p(v); q(v)) j v 2 V ) 2 Z V , p q = (min(p(v); q(v)) j v 2 V ) 2 Z V , and 1 is the vector in Z V with all components being equal to 1. A set D ` Z V is said to be an L-convex set if its indicator function ffi D (defined by: ffi D (p) = 0 if p 2 D, and = +1 otherwise) is an L-
- Cited by 1 (1 self) – Add To MetaCart
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On Steepest Descent Algorithms for Discrete Convex Functions
- On Steepest Descent Algorithms for Discrete Convex Functions Kazuo Murota Graduate School
- Cited by 3 (1 self) – Add To MetaCart
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Algorithms in Discrete Convex Analysis
- on Algorithm Engineering: Surveys Algorithms in Discrete Convex Analysis Kazuo MUROTA + , Nonmember SUMMARY
- Cited by 50 (21 self) – Add To MetaCart
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Fundamental Properties of M-convex and L-convex Functions in Continuous Variables
- -convex Functions in Continuous Variables Kazuo MUROTA and Akiyoshi SHIOURA METR 2003 18 May 2003 DEPARTMENT
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New Characterizations of M-convex Functions and Connections to Mathematical Economics
- and Connections to Mathematical Economics y Kazuo Murota and Akihisa Tamura December 12, 2000 Abstract
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Quasi M-convex and L-convex Functions - Quasiconvexity in Discrete Optimization
- in Discrete Optimization | Kazuo MUROTA and Akiyoshi SHIOURA December, 2000 Keywords: quasiconvex function
- Cited by 2 (2 self) – Add To MetaCart
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Computing The Combinatorial Canonical Form Of A Layered Mixed Matrix
- COMPUTING THE COMBINATORIAL CANONICAL FORM OF A LAYERED MIXED MATRIX KAZUO MUROTA 3 AND MARK
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FUNCTION CLASSES FOR SUCCESSFUL DE-SINC APPROXIMATIONS
- , AND KAZUO MUROTA Abstract. The DE-Sinc formulas, resulting from a combination of the Sinc approximation
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