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M. Yamashita

73 papers hereh-index 242.2k citations187 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author7
  • first author5
  • middle author8
  • last author50

Across the 70 of 73 papers where every author was matched, so the position is known.

fields
  • math.OA17
  • math.OC14
  • cond-mat.quant-gas11
  • math.QA9
  • cond-mat.stat-mech6
  • math.KT5
same name
  • M. Yamashita — 63 papers, h 18
  • M. Yamashita — 56 papers, h 29
  • M. Yamashita — 33 papers, h 23
  • M. Yamashita — 26 papers, h 14
  • M. Yamashita — 19 papers, h 37
  • M. Yamashita — 6 papers, h 13

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20002023
most citedInteraction and filling induced quantum phases of dual Mott insulators of bosons and fermions

125 citations · 804 across the 71 of their papers we have counts for

collaborators
Showing 2019 · math.OCShow all

3 papers · 2 filters

math.OC2019★ 6 cited

Exploiting Aggregate Sparsity in Second Order Cone Relaxations for Quadratic Constrained Quadratic Programming Problems

Heejune Sheen, Makoto Yamashita

Among many approaches to increase the computational efficiency of semidefinite programming (SDP) relaxation for quadratic constrained quadratic programming problems (QCQPs), exploi…

math.OC2019

Sparsity Exploitation of Accelerated Modulus-Based Gauss-Seidel Method for Interactive Rigid Body Simulations

Shugo Miyamoto, Makoto Yamashita

Large-scale linear complementarity problems (LCPs) are repeatedly solved in interactive rigid-body simulations. The projected Gauss-Seidel method is often employed for LCPs, since…

math.OC2019

An Infeasible Interior-point Arc-search Algorithm for Nonlinear Constrained Optimization

Einosuke Iida, Yaguang Yang, Makoto Yamashita

In this paper, we propose an infeasible arc-search interior-point algorithm for solving nonlinear programming problems. Most algorithms based on interior-point methods are categori…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.