Three methods for solving systems of linear equations: Comparing the advantages and disadvantages Article Swipe
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· 2021
· Open Access
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· DOI: https://doi.org/10.1088/1742-6596/2012/1/012061
This paper aims to introduce some prevalent techniques which have been used to solve linear systems. Firstly, we introduce the simplest method: how to eliminate variables in which the original systems would not be changed. We then introduce Gaussian eliminations, which work on the augmented matrix derived from a linear system. To the end, we present Cramer’s rule, which computes the solution to a linear system based on matrix determinants. These methods have their application scenarios. For instance, eliminating variables has no limited condition for its operations. However, Cramer’s rule needs to be under the condition of square matrices. At the same time, Gaussian elimination requires three elementary row operations, and Gaussian elimination paves the way for computing the rank of matrices. The choice between these methods depends on coefficient matrices in terms of dimensions and matrix properties such as singularity.
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- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/2012/1/012061
- https://iopscience.iop.org/article/10.1088/1742-6596/2012/1/012061/pdf
- OA Status
- diamond
- Cited By
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- References
- 1
- Related Works
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https://openalex.org/W3196753368Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1742-6596/2012/1/012061Digital Object Identifier
- Title
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Three methods for solving systems of linear equations: Comparing the advantages and disadvantagesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-09-01Full publication date if available
- Authors
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Haoyu Luo, Simeng Wu, Ningyun XieList of authors in order
- Landing page
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https://doi.org/10.1088/1742-6596/2012/1/012061Publisher landing page
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https://iopscience.iop.org/article/10.1088/1742-6596/2012/1/012061/pdfDirect link to full text PDF
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diamondOpen access status per OpenAlex
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https://iopscience.iop.org/article/10.1088/1742-6596/2012/1/012061/pdfDirect OA link when available
- Concepts
-
Gaussian elimination, Coefficient matrix, Gaussian, Rank (graph theory), Matrix (chemical analysis), Applied mathematics, Linear system, Computer science, System of linear equations, Augmented matrix, Singularity, Mathematical optimization, Mathematics, Algorithm, State-transition matrix, Symmetric matrix, Mathematical analysis, Physics, Composite material, Eigenvalues and eigenvectors, Combinatorics, Materials science, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 1, 2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.based | 67 |
| abstract_inverted_index.needs | 91 |
| abstract_inverted_index.paper | 2 |
| abstract_inverted_index.paves | 114 |
| abstract_inverted_index.rule, | 58 |
| abstract_inverted_index.solve | 14 |
| abstract_inverted_index.terms | 133 |
| abstract_inverted_index.their | 74 |
| abstract_inverted_index.these | 126 |
| abstract_inverted_index.three | 107 |
| abstract_inverted_index.time, | 103 |
| abstract_inverted_index.under | 94 |
| abstract_inverted_index.which | 9, 28, 41, 59 |
| abstract_inverted_index.would | 32 |
| abstract_inverted_index.choice | 124 |
| abstract_inverted_index.linear | 15, 50, 65 |
| abstract_inverted_index.matrix | 46, 69, 137 |
| abstract_inverted_index.square | 98 |
| abstract_inverted_index.system | 66 |
| abstract_inverted_index.between | 125 |
| abstract_inverted_index.depends | 128 |
| abstract_inverted_index.derived | 47 |
| abstract_inverted_index.limited | 83 |
| abstract_inverted_index.method: | 22 |
| abstract_inverted_index.methods | 72, 127 |
| abstract_inverted_index.present | 56 |
| abstract_inverted_index.system. | 51 |
| abstract_inverted_index.systems | 31 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Firstly, | 17 |
| abstract_inverted_index.Gaussian | 39, 104, 112 |
| abstract_inverted_index.However, | 88 |
| abstract_inverted_index.changed. | 35 |
| abstract_inverted_index.computes | 60 |
| abstract_inverted_index.matrices | 131 |
| abstract_inverted_index.original | 30 |
| abstract_inverted_index.requires | 106 |
| abstract_inverted_index.simplest | 21 |
| abstract_inverted_index.solution | 62 |
| abstract_inverted_index.systems. | 16 |
| abstract_inverted_index.augmented | 45 |
| abstract_inverted_index.computing | 118 |
| abstract_inverted_index.condition | 84, 96 |
| abstract_inverted_index.eliminate | 25 |
| abstract_inverted_index.instance, | 78 |
| abstract_inverted_index.introduce | 5, 19, 38 |
| abstract_inverted_index.matrices. | 99, 122 |
| abstract_inverted_index.prevalent | 7 |
| abstract_inverted_index.variables | 26, 80 |
| abstract_inverted_index.Cramer’s | 57, 89 |
| abstract_inverted_index.dimensions | 135 |
| abstract_inverted_index.elementary | 108 |
| abstract_inverted_index.properties | 138 |
| abstract_inverted_index.scenarios. | 76 |
| abstract_inverted_index.techniques | 8 |
| abstract_inverted_index.application | 75 |
| abstract_inverted_index.coefficient | 130 |
| abstract_inverted_index.eliminating | 79 |
| abstract_inverted_index.elimination | 105, 113 |
| abstract_inverted_index.operations, | 110 |
| abstract_inverted_index.operations. | 87 |
| abstract_inverted_index.singularity. | 141 |
| abstract_inverted_index.determinants. | 70 |
| abstract_inverted_index.eliminations, | 40 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.53383985 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |