Masakazu Muramatsu

35 papers A* 1B 1Misc 1Journal 30Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
A Greedy Algorithm for Priority-Based Vehicle Routing Problem.
IIAI-AAI-Winter
Yuchao Guo, Masakazu Muramatsu
2024 J jnl
Closing duality gaps of SDPs completely through perturbation when singularity degree is one.
Optim. Methods Softw.
Takashi Tsuchiya, Bruno F. Lourenço, Masakazu Muramatsu, Takayuki Okuno
2023 J jnl
A limiting analysis on regularization of singular SDP and its implication to infeasible interior-point algorithms.
Math. Program.
Takashi Tsuchiya, Bruno F. Lourenço, Masakazu Muramatsu, Takayuki Okuno
2023 J jnl
Shift Quality Classifier Using Deep Neural Networks on Small Data with Dropout and Semi-Supervised Learning.
IEICE Trans. Inf. Syst.
Takefumi Kawakami, Takanori Ide, Kunihito Hoki, Masakazu Muramatsu
2022 — conf
A Variant of Knapsack Problem Efficient for Benders Decomposition.
IIAI-AAI-Winter
Kosuke Aratani, Masakazu Muramatsu
2021 J jnl
Solving SDP completely with an interior point oracle.
Optim. Methods Softw.
Bruno F. Lourenço, Masakazu Muramatsu, Takashi Tsuchiya
2020 J jnl
Development of Artificial Intelligence to Classify Quality of Transmission Shift Control Using Deep Convolutional Neural Networks.
IEEE Trans. Veh. Technol.
Takefumi Kawakami, Takanori Ide, Eiji Moriyama, Kunihito Hoki, Masakazu Muramatsu
2019 J jnl
An extension of Chubanov's algorithm to symmetric cones.
Math. Program.
Bruno F. Lourenço, Tomonari Kitahara, Masakazu Muramatsu, Takashi Tsuchiya
2019 J jnl
Approach to problem of minimizing network power consumption based on robust optimization.
Int. J. Commun. Syst.
Bimal Chandra Das, Satoshi Takahashi, Eiji Oki, Masakazu Muramatsu
2018 J jnl
Facial Reduction and Partial Polyhedrality.
SIAM J. Optim.
Bruno F. Lourenço, Masakazu Muramatsu, Takashi Tsuchiya
2018 J jnl
Network Congestion Minimization Models Based on Robust Optimization.
IEICE Trans. Commun.
Bimal Chandra Das, Satoshi Takahashi, Eiji Oki, Masakazu Muramatsu
2017 J jnl
Improved simulation adjusting.
ICGA J.
Nobuo Araki, Kunihito Hoki, Satoshi Takahashi, Masakazu Muramatsu
2016 J jnl
Perturbed sums-of-squares theorem for polynomial optimization and its applications.
Optim. Methods Softw.
Masakazu Muramatsu, Hayato Waki, Levent Tunçel
2016 J jnl
Pure Nash equilibria of competitive diffusion process on toroidal grid graphs.
Discret. Appl. Math.
Yuki Sukenari, Kunihito Hoki, Satoshi Takahashi, Masakazu Muramatsu
2016 J jnl
Weak infeasibility in second order cone programming.
Optim. Lett.
Bruno F. Lourenço, Masakazu Muramatsu, Takashi Tsuchiya
2014 A* conf
Monte-Carlo Simulation Adjusting.
AAAI
Nobuo Araki, Masakazu Muramatsu, Kunihito Hoki, Satoshi Takahashi
2013 J jnl
Facial Reduction Algorithms for Conic Optimization Problems.
J. Optim. Theory Appl.
Hayato Waki, Masakazu Muramatsu
2012 J jnl
Efficiency of three forward-pruning techniques in shogi: Futility pruning, null-move pruning, and Late Move Reduction (LMR).
Entertain. Comput.
Kunihito Hoki, Masakazu Muramatsu
2012 J jnl
Strange behaviors of interior-point methods for solving semidefinite programming problems in polynomial optimization.
Comput. Optim. Appl.
Hayato Waki, Maho Nakata, Masakazu Muramatsu
2010 J jnl
A facial reduction algorithm for finding sparse SOS representations.
Oper. Res. Lett.
Hayato Waki, Masakazu Muramatsu
2009 J jnl
A note on sparse SOS and SDP relaxations for polynomial optimization problems over symmetric cones.
Comput. Optim. Appl.
Masakazu Kojima, Masakazu Muramatsu
2009 J jnl
Implementation Issues of Second-Order Cone Programming Approaches for Support Vector Machine Learning Problems.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi
2008 J jnl
Algorithm 883: SparsePOP - A Sparse Semidefinite Programming Relaxation of Polynomial Optimization Problems.
ACM Trans. Math. Softw.
Hayato Waki, Sunyoung Kim, Masakazu Kojima, Masakazu Muramatsu, Hiroshi Sugimoto
2007 J jnl
An Extension of Sums of Squares Relaxations to Polynomial Optimization Problems Over Symmetric Cones.
Math. Program.
Masakazu Kojima, Masakazu Muramatsu
2006 J jnl
A pivoting procedure for a class of second-order cone programming.
Optim. Methods Softw.
Masakazu Muramatsu
2006 J jnl
Sums of Squares and Semidefinite Program Relaxations for Polynomial Optimization Problems with Structured Sparsity.
SIAM J. Optim.
Hayato Waki, Sunyoung Kim, Masakazu Kojima, Masakazu Muramatsu
2005 J jnl
A Unified Class of Directly Solvable Semidefinite Programming Problems.
Ann. Oper. Res.
Masakazu Muramatsu
2005 J jnl
An Efficient Support Vector Machine Learning Method with Second-Order Cone Programming for Large-Scale Problems.
Appl. Intell.
Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi
2004 Misc conf
A New Model for Large Margin Classifiers by Second Order Cone Programming.
IC-AI
Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi
2004 B conf
The support vector machine learning using the second order cone programming.
IJCNN
Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi
1999 J jnl
Primal-Dual Affine-Scaling Algorithms Fail for Semidefinite Programming.
Math. Oper. Res.
Masakazu Muramatsu, Robert J. Vanderbei
1998 J jnl
Affine scaling algorithm fails for semidefinite programming.
Math. Program.
Masakazu Muramatsu
1996 J jnl
An affine scaling method with an infeasible starting point: Convergence analysis under nondegeneracy assumption.
Ann. Oper. Res.
Masakazu Muramatsu, Takashi Tsuchiya
1996 J jnl
Convergence analysis of the projective scaling algorithm based on a long-step homogeneous affine scaling algorithm.
Math. Program.
Masakazu Muramatsu, Takashi Tsuchiya
1995 J jnl
Global Convergence of a Long-Step Affine Scaling Algorithm for Degenerate Linear Programming Problems.
SIAM J. Optim.
Takashi Tsuchiya, Masakazu Muramatsu