Masakazu Muramatsu

According to our database, Masakazu Muramatsu authored at least 32 papers between 1995 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Shift Quality Classifier Using Deep Neural Networks on Small Data with Dropout and Semi-Supervised Learning.

Takefumi Kawakami, Takanori Ide, Kunihito Hoki, Masakazu Muramatsu

IEICE Trans. Inf. Syst., December, 2023

A limiting analysis on regularization of singular SDP and its implication to infeasible interior-point algorithms.

Takashi Tsuchiya, Bruno F. Lourenço, Masakazu Muramatsu, Takayuki Okuno

Math. Program., 2023

2022

A Variant of Knapsack Problem Efficient for Benders Decomposition.

Kosuke Aratani, Masakazu Muramatsu

Proceedings of the 2022 13th International Congress on Advanced Applied Informatics Winter, 2022

2021

Solving SDP completely with an interior point oracle.

Bruno F. Lourenço, Masakazu Muramatsu, Takashi Tsuchiya

Optim. Methods Softw., 2021

2020

Development of Artificial Intelligence to Classify Quality of Transmission Shift Control Using Deep Convolutional Neural Networks.

Takefumi Kawakami, Takanori Ide, Eiji Moriyama, Kunihito Hoki, Masakazu Muramatsu

IEEE Trans. Veh. Technol., 2020

2019

An extension of Chubanov's algorithm to symmetric cones.

Bruno F. Lourenço, Tomonari Kitahara, Masakazu Muramatsu, Takashi Tsuchiya

Math. Program., 2019

Approach to problem of minimizing network power consumption based on robust optimization.

Bimal Chandra Das, Satoshi Takahashi, Eiji Oki, Masakazu Muramatsu

Int. J. Commun. Syst., 2019

2018

Facial Reduction and Partial Polyhedrality.

Bruno F. Lourenço, Masakazu Muramatsu, Takashi Tsuchiya

SIAM J. Optim., 2018

Network Congestion Minimization Models Based on Robust Optimization.

Bimal Chandra Das, Satoshi Takahashi, Eiji Oki, Masakazu Muramatsu

IEICE Trans. Commun., 2018

2017

Improved simulation adjusting.

Nobuo Araki, Kunihito Hoki, Satoshi Takahashi, Masakazu Muramatsu

J. Int. Comput. Games Assoc., 2017

2016

Perturbed sums-of-squares theorem for polynomial optimization and its applications.

Masakazu Muramatsu, Hayato Waki, Levent Tunçel

Optim. Methods Softw., 2016

Weak infeasibility in second order cone programming.

Bruno F. Lourenço, Masakazu Muramatsu, Takashi Tsuchiya

Optim. Lett., 2016

Pure Nash equilibria of competitive diffusion process on toroidal grid graphs.

Yuki Sukenari, Kunihito Hoki, Satoshi Takahashi, Masakazu Muramatsu

Discret. Appl. Math., 2016

2014

Monte-Carlo Simulation Adjusting.

Nobuo Araki, Masakazu Muramatsu, Kunihito Hoki, Satoshi Takahashi

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Facial Reduction Algorithms for Conic Optimization Problems.

Hayato Waki, Masakazu Muramatsu

J. Optim. Theory Appl., 2013

2012

Efficiency of three forward-pruning techniques in shogi: Futility pruning, null-move pruning, and Late Move Reduction (LMR).

Kunihito Hoki, Masakazu Muramatsu

Entertain. Comput., 2012

Strange behaviors of interior-point methods for solving semidefinite programming problems in polynomial optimization.

Hayato Waki, Maho Nakata, Masakazu Muramatsu

Comput. Optim. Appl., 2012

2010

A facial reduction algorithm for finding sparse SOS representations.

Hayato Waki, Masakazu Muramatsu

Oper. Res. Lett., 2010

2009

Implementation Issues of Second-Order Cone Programming Approaches for Support Vector Machine Learning Problems.

Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009

A note on sparse SOS and SDP relaxations for polynomial optimization problems over symmetric cones.

Masakazu Kojima, Masakazu Muramatsu

Comput. Optim. Appl., 2009

2008

Algorithm 883: SparsePOP - A Sparse Semidefinite Programming Relaxation of Polynomial Optimization Problems.

Hayato Waki, Sunyoung Kim, Masakazu Kojima, Masakazu Muramatsu, Hiroshi Sugimoto

ACM Trans. Math. Softw., 2008

2007

An Extension of Sums of Squares Relaxations to Polynomial Optimization Problems Over Symmetric Cones.

Masakazu Kojima, Masakazu Muramatsu

Math. Program., 2007

2006

Sums of Squares and Semidefinite Program Relaxations for Polynomial Optimization Problems with Structured Sparsity.

Hayato Waki, Sunyoung Kim, Masakazu Kojima, Masakazu Muramatsu

SIAM J. Optim., 2006

A pivoting procedure for a class of second-order cone programming.

Masakazu Muramatsu

Optim. Methods Softw., 2006

2005

An Efficient Support Vector Machine Learning Method with Second-Order Cone Programming for Large-Scale Problems.

Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi

Appl. Intell., 2005

A Unified Class of Directly Solvable Semidefinite Programming Problems.

Masakazu Muramatsu

Ann. Oper. Res., 2005

2004

A New Model for Large Margin Classifiers by Second Order Cone Programming.

Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi

Proceedings of the International Conference on Artificial Intelligence, 2004

1999

Primal-Dual Affine-Scaling Algorithms Fail for Semidefinite Programming.

Masakazu Muramatsu, Robert J. Vanderbei

Math. Oper. Res., 1999

1998

Affine scaling algorithm fails for semidefinite programming.

Masakazu Muramatsu

Math. Program., 1998

1996

Convergence analysis of the projective scaling algorithm based on a long-step homogeneous affine scaling algorithm.

Masakazu Muramatsu, Takashi Tsuchiya

Math. Program., 1996

An affine scaling method with an infeasible starting point: Convergence analysis under nondegeneracy assumption.

Masakazu Muramatsu, Takashi Tsuchiya

Ann. Oper. Res., 1996

1995

Global Convergence of a Long-Step Affine Scaling Algorithm for Degenerate Linear Programming Problems.

Takashi Tsuchiya, Masakazu Muramatsu

SIAM J. Optim., 1995