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f | 1 | { | f | 1 | { |
2 | "author": "Carle, Constantin", | 2 | "author": "Carle, Constantin", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
5 | "doi": "10.35097/1512", | 5 | "doi": "10.35097/1512", | ||
6 | "doi_date_published": "2023", | 6 | "doi_date_published": "2023", | ||
7 | "doi_publisher": "", | 7 | "doi_publisher": "", | ||
8 | "doi_status": "True", | 8 | "doi_status": "True", | ||
9 | "groups": [], | 9 | "groups": [], | ||
10 | "id": "c72d6678-af20-451d-a32d-2ab91a8f1f83", | 10 | "id": "c72d6678-af20-451d-a32d-2ab91a8f1f83", | ||
11 | "isopen": false, | 11 | "isopen": false, | ||
12 | "license_id": "CC BY-NC-SA 4.0 | 12 | "license_id": "CC BY-NC-SA 4.0 | ||
13 | Attribution-NonCommercial-ShareAlike", | 13 | Attribution-NonCommercial-ShareAlike", | ||
14 | "license_title": "CC BY-NC-SA 4.0 | 14 | "license_title": "CC BY-NC-SA 4.0 | ||
15 | Attribution-NonCommercial-ShareAlike", | 15 | Attribution-NonCommercial-ShareAlike", | ||
16 | "metadata_created": "2023-08-04T08:50:57.356713", | 16 | "metadata_created": "2023-08-04T08:50:57.356713", | ||
t | 17 | "metadata_modified": "2023-08-04T08:52:08.098030", | t | 17 | "metadata_modified": "2023-08-04T08:53:41.456919", |
18 | "name": "rdr-doi-10-35097-1512", | 18 | "name": "rdr-doi-10-35097-1512", | ||
19 | "notes": "Abstract: This code was used for the numerical experiments | 19 | "notes": "Abstract: This code was used for the numerical experiments | ||
20 | in the preprint (CRC Preprint 2021/26; URL: | 20 | in the preprint (CRC Preprint 2021/26; URL: | ||
21 | https://www.waves.kit.edu/downloads/CRC1173_Preprint_2021-26.pdf) and | 21 | https://www.waves.kit.edu/downloads/CRC1173_Preprint_2021-26.pdf) and | ||
22 | in the paper \"Error analysis of multirate leapfrog-type methods for | 22 | in the paper \"Error analysis of multirate leapfrog-type methods for | ||
23 | second-order semilinear odes\" by C. Carle and M. | 23 | second-order semilinear odes\" by C. Carle and M. | ||
24 | Hochbruck.\r\nTechnicalRemarks: The scripts inside the subfolders are | 24 | Hochbruck.\r\nTechnicalRemarks: The scripts inside the subfolders are | ||
25 | intended to reproduce the figures from the \r\npreprint \r\n> Error | 25 | intended to reproduce the figures from the \r\npreprint \r\n> Error | ||
26 | analysis of multirate leapfrog-type methods for second-order | 26 | analysis of multirate leapfrog-type methods for second-order | ||
27 | semilinear ODEs\r\n\r\nby Constantin carle and Marlis | 27 | semilinear ODEs\r\n\r\nby Constantin carle and Marlis | ||
28 | Hochbruck\r\n\r\n### Requirements\r\n\r\nThe codes are tested with | 28 | Hochbruck\r\n\r\n### Requirements\r\n\r\nThe codes are tested with | ||
29 | \r\n\r\nUbuntu 20.04.2 LTS and Python 3.8.5 and the following version | 29 | \r\n\r\nUbuntu 20.04.2 LTS and Python 3.8.5 and the following version | ||
30 | of its modules:\r\n\r\n- numpy - 1.17.4\r\n- scipy | 30 | of its modules:\r\n\r\n- numpy - 1.17.4\r\n- scipy | ||
31 | - 1.3.3 \r\n- dolfin (fenics) - 2019.2.0.dev0 (including mshr) | 31 | - 1.3.3 \r\n- dolfin (fenics) - 2019.2.0.dev0 (including mshr) | ||
32 | \r\n- matplotlib - 3.1.2\r\n- tikzplotlib - | 32 | \r\n- matplotlib - 3.1.2\r\n- tikzplotlib - | ||
33 | 0.9.6\r\n\r\n### Generation of figures\r\n\r\nIn the folder | 33 | 0.9.6\r\n\r\n### Generation of figures\r\n\r\nIn the folder | ||
34 | \"code_figure_6p1-6p2\" open a console and run the commands\r\n\r\n1. | 34 | \"code_figure_6p1-6p2\" open a console and run the commands\r\n\r\n1. | ||
35 | to obatin Figure 6.1\r\n\r\n python3 | 35 | to obatin Figure 6.1\r\n\r\n python3 | ||
36 | script_figure_2dimEx.py,\r\n\r\n2. to obtain Figure 6.2(a)\r\n\r\n | 36 | script_figure_2dimEx.py,\r\n\r\n2. to obtain Figure 6.2(a)\r\n\r\n | ||
37 | python3 script_figure_FPUT_error.py\r\n\r\n3. to obtain Figure | 37 | python3 script_figure_FPUT_error.py\r\n\r\n3. to obtain Figure | ||
38 | 6.2(b)\r\n\r\n python3 | 38 | 6.2(b)\r\n\r\n python3 | ||
39 | script_figure_FPUT_hamiltonian.py.\r\n\r\nIn the folder | 39 | script_figure_FPUT_hamiltonian.py.\r\n\r\nIn the folder | ||
40 | \"code_figure_6p3\" open a console and run the command\r\n\r\n | 40 | \"code_figure_6p3\" open a console and run the command\r\n\r\n | ||
41 | python3 script_figure_wave-equation.py\r\n\r\nto obtain Figure 6.3(a) | 41 | python3 script_figure_wave-equation.py\r\n\r\nto obtain Figure 6.3(a) | ||
42 | and (b).\r\n\r\nAdditionally to the plots you can get the tikz-files | 42 | and (b).\r\n\r\nAdditionally to the plots you can get the tikz-files | ||
43 | which were used for generating the plots in the pdf by uncommenting | 43 | which were used for generating the plots in the pdf by uncommenting | ||
44 | the lines\r\n\r\n #import tikzplotlib\r\n | 44 | the lines\r\n\r\n #import tikzplotlib\r\n | ||
45 | #tikzplotlib.save(\"*****.tikz\")\r\n\r\nat the end of each of the | 45 | #tikzplotlib.save(\"*****.tikz\")\r\n\r\nat the end of each of the | ||
46 | above scripts.", | 46 | above scripts.", | ||
47 | "num_resources": 0, | 47 | "num_resources": 0, | ||
48 | "num_tags": 9, | 48 | "num_tags": 9, | ||
49 | "orcid": "", | 49 | "orcid": "", | ||
50 | "organization": { | 50 | "organization": { | ||
51 | "approval_status": "approved", | 51 | "approval_status": "approved", | ||
52 | "created": "2023-01-12T13:30:23.238233", | 52 | "created": "2023-01-12T13:30:23.238233", | ||
53 | "description": "RADAR (Research Data Repository) is a | 53 | "description": "RADAR (Research Data Repository) is a | ||
54 | cross-disciplinary repository for archiving and publishing research | 54 | cross-disciplinary repository for archiving and publishing research | ||
55 | data from completed scientific studies and projects. The focus is on | 55 | data from completed scientific studies and projects. The focus is on | ||
56 | research data from subjects that do not yet have their own | 56 | research data from subjects that do not yet have their own | ||
57 | discipline-specific infrastructures for research data management. ", | 57 | discipline-specific infrastructures for research data management. ", | ||
58 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 58 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
59 | "image_url": "radar-logo.svg", | 59 | "image_url": "radar-logo.svg", | ||
60 | "is_organization": true, | 60 | "is_organization": true, | ||
61 | "name": "radar", | 61 | "name": "radar", | ||
62 | "state": "active", | 62 | "state": "active", | ||
63 | "title": "RADAR", | 63 | "title": "RADAR", | ||
64 | "type": "organization" | 64 | "type": "organization" | ||
65 | }, | 65 | }, | ||
66 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 66 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
67 | "private": false, | 67 | "private": false, | ||
68 | "production_year": "2021", | 68 | "production_year": "2021", | ||
69 | "publication_year": "2023", | 69 | "publication_year": "2023", | ||
70 | "publishers": [ | 70 | "publishers": [ | ||
71 | { | 71 | { | ||
72 | "publisher": "Karlsruhe Institute of Technology" | 72 | "publisher": "Karlsruhe Institute of Technology" | ||
73 | } | 73 | } | ||
74 | ], | 74 | ], | ||
75 | "relationships_as_object": [], | 75 | "relationships_as_object": [], | ||
76 | "relationships_as_subject": [], | 76 | "relationships_as_subject": [], | ||
77 | "repository_name": "RADAR (Research Data Repository)", | 77 | "repository_name": "RADAR (Research Data Repository)", | ||
78 | "resources": [], | 78 | "resources": [], | ||
79 | "services_used_list": "", | 79 | "services_used_list": "", | ||
80 | "source_metadata_created": "2023", | 80 | "source_metadata_created": "2023", | ||
81 | "source_metadata_modified": "", | 81 | "source_metadata_modified": "", | ||
82 | "state": "active", | 82 | "state": "active", | ||
83 | "subject_areas": [ | 83 | "subject_areas": [ | ||
84 | { | 84 | { | ||
85 | "subject_area_additional": "", | 85 | "subject_area_additional": "", | ||
86 | "subject_area_name": "Mathematics" | 86 | "subject_area_name": "Mathematics" | ||
87 | } | 87 | } | ||
88 | ], | 88 | ], | ||
89 | "tags": [ | 89 | "tags": [ | ||
90 | { | 90 | { | ||
91 | "display_name": "CFL condition", | 91 | "display_name": "CFL condition", | ||
92 | "id": "1b514a01-be77-4cbd-9128-0e7ef27faafe", | 92 | "id": "1b514a01-be77-4cbd-9128-0e7ef27faafe", | ||
93 | "name": "CFL condition", | 93 | "name": "CFL condition", | ||
94 | "state": "active", | 94 | "state": "active", | ||
95 | "vocabulary_id": null | 95 | "vocabulary_id": null | ||
96 | }, | 96 | }, | ||
97 | { | 97 | { | ||
98 | "display_name": "Chebyshev polynomials", | 98 | "display_name": "Chebyshev polynomials", | ||
99 | "id": "14f029e3-2f69-47ae-83d3-ea5a865e1e1c", | 99 | "id": "14f029e3-2f69-47ae-83d3-ea5a865e1e1c", | ||
100 | "name": "Chebyshev polynomials", | 100 | "name": "Chebyshev polynomials", | ||
101 | "state": "active", | 101 | "state": "active", | ||
102 | "vocabulary_id": null | 102 | "vocabulary_id": null | ||
103 | }, | 103 | }, | ||
104 | { | 104 | { | ||
105 | "display_name": "Hamiltonian systems", | 105 | "display_name": "Hamiltonian systems", | ||
106 | "id": "73fdcd90-0a95-4997-af0e-b5655c43cbc4", | 106 | "id": "73fdcd90-0a95-4997-af0e-b5655c43cbc4", | ||
107 | "name": "Hamiltonian systems", | 107 | "name": "Hamiltonian systems", | ||
108 | "state": "active", | 108 | "state": "active", | ||
109 | "vocabulary_id": null | 109 | "vocabulary_id": null | ||
110 | }, | 110 | }, | ||
111 | { | 111 | { | ||
112 | "display_name": "error analysis", | 112 | "display_name": "error analysis", | ||
113 | "id": "408f9606-823e-4494-9527-e10be495ea6d", | 113 | "id": "408f9606-823e-4494-9527-e10be495ea6d", | ||
114 | "name": "error analysis", | 114 | "name": "error analysis", | ||
115 | "state": "active", | 115 | "state": "active", | ||
116 | "vocabulary_id": null | 116 | "vocabulary_id": null | ||
117 | }, | 117 | }, | ||
118 | { | 118 | { | ||
119 | "display_name": "leapfrog method", | 119 | "display_name": "leapfrog method", | ||
120 | "id": "bd9eba89-751f-4d86-a18f-162fb28d8bcf", | 120 | "id": "bd9eba89-751f-4d86-a18f-162fb28d8bcf", | ||
121 | "name": "leapfrog method", | 121 | "name": "leapfrog method", | ||
122 | "state": "active", | 122 | "state": "active", | ||
123 | "vocabulary_id": null | 123 | "vocabulary_id": null | ||
124 | }, | 124 | }, | ||
125 | { | 125 | { | ||
126 | "display_name": "second-order ode", | 126 | "display_name": "second-order ode", | ||
127 | "id": "c2f947e8-f701-4a4d-8167-9711f8215ef0", | 127 | "id": "c2f947e8-f701-4a4d-8167-9711f8215ef0", | ||
128 | "name": "second-order ode", | 128 | "name": "second-order ode", | ||
129 | "state": "active", | 129 | "state": "active", | ||
130 | "vocabulary_id": null | 130 | "vocabulary_id": null | ||
131 | }, | 131 | }, | ||
132 | { | 132 | { | ||
133 | "display_name": "stability analysis", | 133 | "display_name": "stability analysis", | ||
134 | "id": "28c0559e-1d3c-4fea-81c4-d79e5f5149a4", | 134 | "id": "28c0559e-1d3c-4fea-81c4-d79e5f5149a4", | ||
135 | "name": "stability analysis", | 135 | "name": "stability analysis", | ||
136 | "state": "active", | 136 | "state": "active", | ||
137 | "vocabulary_id": null | 137 | "vocabulary_id": null | ||
138 | }, | 138 | }, | ||
139 | { | 139 | { | ||
140 | "display_name": "time integration", | 140 | "display_name": "time integration", | ||
141 | "id": "05c33a87-3032-479c-af53-5a6cb2b6da8d", | 141 | "id": "05c33a87-3032-479c-af53-5a6cb2b6da8d", | ||
142 | "name": "time integration", | 142 | "name": "time integration", | ||
143 | "state": "active", | 143 | "state": "active", | ||
144 | "vocabulary_id": null | 144 | "vocabulary_id": null | ||
145 | }, | 145 | }, | ||
146 | { | 146 | { | ||
147 | "display_name": "wave equation", | 147 | "display_name": "wave equation", | ||
148 | "id": "cec2cefd-f3c3-4de9-b1d5-f680a3a88ff5", | 148 | "id": "cec2cefd-f3c3-4de9-b1d5-f680a3a88ff5", | ||
149 | "name": "wave equation", | 149 | "name": "wave equation", | ||
150 | "state": "active", | 150 | "state": "active", | ||
151 | "vocabulary_id": null | 151 | "vocabulary_id": null | ||
152 | } | 152 | } | ||
153 | ], | 153 | ], | ||
154 | "title": "Numerical experiments to \"error analysis of multirate | 154 | "title": "Numerical experiments to \"error analysis of multirate | ||
155 | leapfrog-type methods for second-order semilinear odes\"", | 155 | leapfrog-type methods for second-order semilinear odes\"", | ||
156 | "type": "vdataset", | 156 | "type": "vdataset", | ||
157 | "url": "https://doi.org/10.35097/1512" | 157 | "url": "https://doi.org/10.35097/1512" | ||
158 | } | 158 | } |