A Systematic Literature Review on Quadratic Programming

Patricia Arakawa Yagi; Erik Alex Papa Quiroz; Miguel Angel Cano Lengua

doi:10.1007/978-981-19-2397-5_66

A Systematic Literature Review on Quadratic Programming

Patricia Arakawa Yagi, Erik Alex Papa Quiroz, Miguel Angel Cano Lengua

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The aim of this paper is to present a review on the state-of-the-art related to quadratic programming (QP) according to the methodology of Kitchenham and Charter. Our review was motivated from four questions: Q1: In what areas are quadratic programming models used? Q2: What optimization methods are used to solve quadratic programming problems? Q3: What optimization methods or algorithms have been used for portfolio selection? Q4: What optimization methods or algorithms solve quasiconvex quadratic problems? We obtain very interesting results on QP and discovered a new line of research for future investigations.

Original language	English
Title of host publication	Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022
Editors	Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
Pages	739-747
Number of pages	9
DOIs	https://doi.org/10.1007/978-981-19-2397-5_66
State	Published - 2023
Externally published	Yes
Event	7th International Congress on Information and Communication Technology, ICICT 2022 - Virtual, Online Duration: 21 Feb 2022 → 24 Feb 2022

Publication series

Name	Lecture Notes in Networks and Systems
Volume	465
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	7th International Congress on Information and Communication Technology, ICICT 2022
City	Virtual, Online
Period	21/02/22 → 24/02/22

Keywords

Optimization methods
Portfolio selection problems
Quadratic programming
Quasiconvex quadratic problems

Access to Document

10.1007/978-981-19-2397-5_66

Cite this

Yagi, P. A., Quiroz, E. A. P., & Lengua, M. A. C. (2023). A Systematic Literature Review on Quadratic Programming. In X.-S. Yang, S. Sherratt, N. Dey, & A. Joshi (Eds.), Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022 (pp. 739-747). (Lecture Notes in Networks and Systems; Vol. 465). https://doi.org/10.1007/978-981-19-2397-5_66

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title = "A Systematic Literature Review on Quadratic Programming",

abstract = "The aim of this paper is to present a review on the state-of-the-art related to quadratic programming (QP) according to the methodology of Kitchenham and Charter. Our review was motivated from four questions: Q1: In what areas are quadratic programming models used? Q2: What optimization methods are used to solve quadratic programming problems? Q3: What optimization methods or algorithms have been used for portfolio selection? Q4: What optimization methods or algorithms solve quasiconvex quadratic problems? We obtain very interesting results on QP and discovered a new line of research for future investigations.",

keywords = "Optimization methods, Portfolio selection problems, Quadratic programming, Quasiconvex quadratic problems",

author = "Yagi, {Patricia Arakawa} and Quiroz, {Erik Alex Papa} and Lengua, {Miguel Angel Cano}",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 7th International Congress on Information and Communication Technology, ICICT 2022 ; Conference date: 21-02-2022 Through 24-02-2022",

year = "2023",

doi = "10.1007/978-981-19-2397-5_66",

language = "English",

isbn = "9789811923968",

series = "Lecture Notes in Networks and Systems",

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editor = "Xin-She Yang and Simon Sherratt and Nilanjan Dey and Amit Joshi",

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Yagi, PA, Quiroz, EAP & Lengua, MAC 2023, A Systematic Literature Review on Quadratic Programming. in X-S Yang, S Sherratt, N Dey & A Joshi (eds), Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022. Lecture Notes in Networks and Systems, vol. 465, pp. 739-747, 7th International Congress on Information and Communication Technology, ICICT 2022, Virtual, Online, 21/02/22. https://doi.org/10.1007/978-981-19-2397-5_66

A Systematic Literature Review on Quadratic Programming. / Yagi, Patricia Arakawa; Quiroz, Erik Alex Papa; Lengua, Miguel Angel Cano.
Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022. ed. / Xin-She Yang; Simon Sherratt; Nilanjan Dey; Amit Joshi. 2023. p. 739-747 (Lecture Notes in Networks and Systems; Vol. 465).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - The aim of this paper is to present a review on the state-of-the-art related to quadratic programming (QP) according to the methodology of Kitchenham and Charter. Our review was motivated from four questions: Q1: In what areas are quadratic programming models used? Q2: What optimization methods are used to solve quadratic programming problems? Q3: What optimization methods or algorithms have been used for portfolio selection? Q4: What optimization methods or algorithms solve quasiconvex quadratic problems? We obtain very interesting results on QP and discovered a new line of research for future investigations.

AB - The aim of this paper is to present a review on the state-of-the-art related to quadratic programming (QP) according to the methodology of Kitchenham and Charter. Our review was motivated from four questions: Q1: In what areas are quadratic programming models used? Q2: What optimization methods are used to solve quadratic programming problems? Q3: What optimization methods or algorithms have been used for portfolio selection? Q4: What optimization methods or algorithms solve quasiconvex quadratic problems? We obtain very interesting results on QP and discovered a new line of research for future investigations.

KW - Optimization methods

KW - Portfolio selection problems

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KW - Quasiconvex quadratic problems

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A Systematic Literature Review on Quadratic Programming

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