"Semidefinite programming"의 두 판 사이의 차이
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Pythagoras0 (토론 | 기여) (→노트) |
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===소스=== | ===소스=== | ||
<references /> | <references /> | ||
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| + | ==메타데이터== | ||
| + | ===위키데이터=== | ||
| + | * ID : [https://www.wikidata.org/wiki/Q2269096 Q2269096] | ||
| + | ===Spacy 패턴 목록=== | ||
| + | * [{'LOWER': 'semidefinite'}, {'LEMMA': 'programming'}] | ||
| + | * [{'LEMMA': 'SDP'}] | ||
2021년 2월 17일 (수) 00:33 기준 최신판
노트
- Semidefinite Programming is a rapidly emerging area of mathematical programming.[1]
- Semidefinite programming is a relatively new field of optimization which is of growing interest for several reasons.[2]
- Semidefinite programming has been used in the optimization of complex systems.[2]
- We hope that our algorithm and techniques open the door to improved solvers for positive semidefinite programming and its applications.[3]
- We focus on readers with a basic background in continuous Optimization, but without a previous knowledge in Semidefinite Programming.[4]
- A short overview on the theoretical and algorithmic results in the case of nonlinear semidefinite programming is also given.[4]
- The linear semidefinite programming can be intended as linear programming over the cone of positive semidefinite matrices.[4]
소스
메타데이터
위키데이터
- ID : Q2269096
Spacy 패턴 목록
- [{'LOWER': 'semidefinite'}, {'LEMMA': 'programming'}]
- [{'LEMMA': 'SDP'}]