"Semidefinite programming"의 두 판 사이의 차이

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# Semidefinite programming has been used in the optimization of complex systems.<ref name="ref_ab40" />
 
# Semidefinite programming has been used in the optimization of complex systems.<ref name="ref_ab40" />
 
# We hope that our algorithm and techniques open the door to improved solvers for positive semidefinite programming and its applications.<ref name="ref_eb8a">[https://dl.acm.org/doi/10.1145/3357713.3384338 Positive semidefinite programming: mixed, parallel, and width-independent]</ref>
 
# We hope that our algorithm and techniques open the door to improved solvers for positive semidefinite programming and its applications.<ref name="ref_eb8a">[https://dl.acm.org/doi/10.1145/3357713.3384338 Positive semidefinite programming: mixed, parallel, and width-independent]</ref>
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# Financial applications of semidefinite programming: a review and call for interdisciplinary research.<ref name="ref_1a9e">[https://epubs.siam.org/doi/10.1137/1038003 Society for Industrial and Applied Mathematics]</ref>
 
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# A Voronoi-based method for land-use optimization using semidefinite programming and gradient descent algorithm.<ref name="ref_1a9e" />
 
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# (2020) Exploiting low-rank structure in semidefinite programming by approximate operator splitting.<ref name="ref_1a9e" />
 
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# Modal dynamic residual-based model updating through regularized semidefinite programming with facial reduction.<ref name="ref_1a9e" />
 
 
# We focus on readers with a basic background in continuous Optimization, but without a previous knowledge in Semidefinite Programming.<ref name="ref_f2a9">[https://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382014000300495 LINEAR AND NONLINEAR SEMIDEFINITE PROGRAMMING]</ref>
 
# We focus on readers with a basic background in continuous Optimization, but without a previous knowledge in Semidefinite Programming.<ref name="ref_f2a9">[https://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382014000300495 LINEAR AND NONLINEAR SEMIDEFINITE PROGRAMMING]</ref>
 
# A short overview on the theoretical and algorithmic results in the case of nonlinear semidefinite programming is also given.<ref name="ref_f2a9" />
 
# A short overview on the theoretical and algorithmic results in the case of nonlinear semidefinite programming is also given.<ref name="ref_f2a9" />
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===소스===
 
===소스===
 
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==메타데이터==
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===위키데이터===
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* ID :  [https://www.wikidata.org/wiki/Q2269096 Q2269096]
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===Spacy 패턴 목록===
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* [{'LOWER': 'semidefinite'}, {'LEMMA': 'programming'}]
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* [{'LEMMA': 'SDP'}]

2021년 2월 17일 (수) 00:33 기준 최신판

노트

  1. Semidefinite Programming is a rapidly emerging area of mathematical programming.[1]
  2. Semidefinite programming is a relatively new field of optimization which is of growing interest for several reasons.[2]
  3. Semidefinite programming has been used in the optimization of complex systems.[2]
  4. We hope that our algorithm and techniques open the door to improved solvers for positive semidefinite programming and its applications.[3]
  5. We focus on readers with a basic background in continuous Optimization, but without a previous knowledge in Semidefinite Programming.[4]
  6. A short overview on the theoretical and algorithmic results in the case of nonlinear semidefinite programming is also given.[4]
  7. The linear semidefinite programming can be intended as linear programming over the cone of positive semidefinite matrices.[4]

소스

  1. ↑ Semidefinite Programming
  2. ↑ 2.0 2.1 Semidefinite programming
  3. ↑ Positive semidefinite programming: mixed, parallel, and width-independent
  4. ↑ 4.0 4.1 4.2 LINEAR AND NONLINEAR SEMIDEFINITE PROGRAMMING

메타데이터

위키데이터

Spacy 패턴 목록

  • [{'LOWER': 'semidefinite'}, {'LEMMA': 'programming'}]
  • [{'LEMMA': 'SDP'}]
원본 주소 "https://wiki.mathnt.net/index.php?title=Semidefinite_programming&oldid=51430"