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\" data-image-state=\"image-loaded\" width=\"107\" height=\"38\"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 94px 8px; transform-origin: 94px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e given the values of variables \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003et\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ek\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 31px 8px; transform-origin: 31px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e. Assume \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eg\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 18px 8px; transform-origin: 18px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e=9.81\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function ans = formula(t,k)\r\n  ans = g/k;\r\nend","test_suite":"%%\r\nk = 0.05;\r\nt=3;\r\ncorrect = 42.0181;\r\nassert(isequal(round(formula(t,k),4),correct))\r\n%%\r\nk = 1.1;\r\nt=2;\r\ncorrect = 17.0648;\r\nassert(isequal(round(formula(t,k),4),correct))\r\n%%\r\nk = 1.1;\r\nt=2.1;\r\ncorrect = 17.9201;\r\nassert(isequal(round(formula(t,k),4),correct))\r\n%%\r\nk = 1.15;\r\nt=2;\r\ncorrect = 16.3550;\r\nassert(isequal(round(formula(t,k),4),correct))\r\n\r\n%% \r\nassert(isempty(regexp(evalc('type formula'),'(eval|evalc|regexp)')))\r\n","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":2540690,"edited_by":223089,"edited_at":"2022-09-09T08:35:07.000Z","deleted_by":null,"deleted_at":null,"solvers_count":58,"test_suite_updated_at":"2022-09-09T08:35:07.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-03T21:41:28.000Z","updated_at":"2026-06-02T02:02:39.000Z","published_at":"2022-09-03T21:41:28.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFind the value of the expression \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"38\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"107\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"middle\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e given the values of variables \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003et\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ek\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Assume 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time","description":"Calculate the time (in hours) it takes a car traveling at a given uniform speed of s km/hour to travel a distance of d km. For instance, if s=120 and d=450, the answer should be 3.75","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 42px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 21px; transform-origin: 407px 21px; vertical-align: baseline; \"\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eCalculate the time (in hours) it takes a car traveling at a given uniform speed of \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003es\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e km/hour to travel a distance of \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ed\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e km. For instance, if s=120 and d=450, the answer should be 3.75\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function t = travel_time(s,d)\r\n  t=d;\r\nend","test_suite":"%%\r\ns = 120;\r\nd = 450;\r\nt = 3.75;\r\nassert(isequal(round(travel_time(s,d),2),t))\r\n\r\n%%\r\ns = 100;\r\nd = 250;\r\nt = 2.5;\r\nassert(isequal(round(travel_time(s,d),2),t))\r\n\r\n%%\r\ns = 140;\r\nd = 450;\r\nt = 3.21;\r\nassert(isequal(round(travel_time(s,d),2),t))\r\n","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":2540690,"edited_by":2540690,"edited_at":"2022-09-03T22:10:11.000Z","deleted_by":null,"deleted_at":null,"solvers_count":52,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-03T22:09:42.000Z","updated_at":"2026-06-02T02:58:38.000Z","published_at":"2022-09-03T22:09:42.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eCalculate the time (in hours) it takes a car traveling at a given uniform speed of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003es\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e km/hour to travel a distance of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ed\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e km. For instance, if s=120 and d=450, the answer should be 3.75\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55470,"title":"Function substitution (1)","description":"Evaluate the function  for the given values of the variables N and t","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 52px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 26px; transform-origin: 407px 26px; vertical-align: baseline; \"\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 26px; text-align: left; transform-origin: 384px 26px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eEvaluate the function \u003c/span\u003e\u003c/span\u003e\u003cimg class=\"imageNode\" width=\"230\" height=\"52\" style=\"vertical-align: middle;width: 230px;height: 52px\" 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data-image-state=\"image-loaded\"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e for the given values of the variables \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003et\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = f(N,t)\r\n  y = 1000;\r\nend","test_suite":"%%\r\nN=2;\r\nt=0.2;\r\ny_correct = 13.343;\r\nassert(isequal(round(f(N,t),3),y_correct))\r\n%%\r\nN=2;\r\nt=0.3;\r\ny_correct = 30.01;\r\nassert(isequal(round(f(N,t),2),y_correct))\r\n%%\r\nN=2;\r\nt=sin(pi/3);\r\ny_correct = 250.01;\r\nassert(isequal(round(f(N,t),2),y_correct))\r\n%%\r\nN=6;\r\nt=sin(pi/3);\r\ny_correct = 60.278;\r\nassert(isequal(round(f(N,t),3),y_correct))\r\nN=6;\r\nt=sqrt(5);\r\ny_correct = 17857;\r\nassert(isequal(round(f(N,t)),y_correct))","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":2540690,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":50,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-04T10:33:13.000Z","updated_at":"2026-06-02T02:58:40.000Z","published_at":"2022-09-04T10:33:13.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle 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substitution (2)","description":"Evaluate the function for the given values of the variables N and t","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 47px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 23.5px; transform-origin: 407px 23.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 23.5px; text-align: left; transform-origin: 384px 23.5px; white-space: pre-wrap; 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data-image-state=\"image-loaded\"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003efor the given values of the variables \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003et\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = g(N,t)\r\n  y = t;\r\nend","test_suite":"%%\r\nN=2;\r\nt=0.2;\r\ny_correct = 9.883;\r\nassert(isequal(round(g(N,t),3),y_correct))\r\n%%\r\nN=2;\r\nt=0.3;\r\ny_correct = 6.627;\r\nassert(isequal(round(g(N,t),3),y_correct))\r\n%%\r\nN=2;\r\nt=sin(pi/3);\r\ny_correct = 5.492;\r\nassert(isequal(round(g(N,t),3),y_correct))\r\n%%\r\nN=6;\r\nt=sin(pi/3);\r\ny_correct = 9.925;\r\nassert(isequal(round(g(N,t),3),y_correct))\r\nN=6;\r\nt=sqrt(5);\r\ny_correct = 6.192;\r\nassert(isequal(round(g(N,t),3),y_correct))","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":2540690,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":58,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-04T10:54:54.000Z","updated_at":"2026-06-02T02:58:41.000Z","published_at":"2022-09-04T10:54:54.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle 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Concatenation (1)","description":"Given two matrices, a and b, concatenate the two matrices horizontally, i.e., the number of columns of the result should be equal to the sum of the number of columns of matrix a and matrix b. Assume both matrices a and b have the the same number of rows and the result will also have the same number of rows.\r\nFor example, if  The result should be ","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 148px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 74px; transform-origin: 407px 74px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eGiven two matrices, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ea\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eb\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, concatenate the two matrices horizontally, i.e., the number of columns of the result should be equal to the sum of the number of columns of matrix \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ea\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and matrix \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eb\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Assume both matrices \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ea\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eb\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e have the the same number of rows and the result will also have the same number of rows.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 76px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 38px; text-align: left; transform-origin: 384px 38px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eFor example, if \u003c/span\u003e\u003c/span\u003e\u003cimg class=\"imageNode\" width=\"288\" height=\"76\" style=\"vertical-align: middle;width: 288px;height: 76px\" 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\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function ans = concat(a,b)\r\n  ans=a+b;\r\nend","test_suite":"%%\r\na=[1,2,3;4,5,6;7,8,9];\r\nb=[2,3,4;5,6,7;9,7,8];\r\n\r\ncorrect = horzcat(a,b);\r\nassert(isequal(concat(a,b),correct))\r\n%%\r\na=[1:4;5:8];\r\nb=[5:8;9:12];\r\ncorrect = [1:8;5:12];\r\nassert(isequal(concat(a,b),correct))\r\n%%\r\na=(1:10)';\r\nb=(11:20)';\r\n\r\ncorrect = reshape(1:20,[10,2]);\r\nassert(isequal(concat(a,b),correct))\r\n","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":2540690,"edited_by":2540690,"edited_at":"2022-09-04T11:30:56.000Z","deleted_by":null,"deleted_at":null,"solvers_count":124,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-04T11:15:27.000Z","updated_at":"2026-06-02T02:58:43.000Z","published_at":"2022-09-04T11:15:27.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven two matrices, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ea\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eb\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, concatenate the two matrices horizontally, i.e., the number of columns of the result should be equal to the sum of the number of columns of matrix \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ea\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and matrix \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eb\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Assume both matrices \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ea\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eb\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e have the the same number of rows and the result will also have the same number of rows.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example, if \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"76\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"288\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"middle\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e The result should be \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"58\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"154\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"middle\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" 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Concatenation (2)","description":"Given two matrices, a and b, concatenate the two matrices vertically, i.e., the number of rows of the result should be equal to the sum of the number of rows of matrix a and matrix b. Assume both matrices a and b have the the same number of columns and the result will also have the same number of columns.\r\nFor example, if  The result should be ","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 186px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 93px; transform-origin: 407px 93px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eGiven two matrices, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ea\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eb\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, concatenate the two matrices vertically, i.e., the number of rows of the result should be equal to the sum of the number of rows of matrix \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ea\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and matrix \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eb\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. Assume both matrices \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ea\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eb\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e have the the same number of columns and the result will also have the same number of columns.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 114px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 57px; text-align: left; transform-origin: 384px 57px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eFor example, if \u003c/span\u003e\u003c/span\u003e\u003cimg class=\"imageNode\" width=\"288\" height=\"76\" style=\"vertical-align: middle;width: 288px;height: 76px\" 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\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function ans = concat(a,b)\r\n  ans=a+b;\r\nend","test_suite":"%%\r\na=[1,2,3;4,5,6;7,8,9];\r\nb=[2,3,4;5,6,7;9,7,8];\r\n\r\ncorrect = vertcat(a,b);\r\nassert(isequal(concat(a,b),correct))\r\n%%\r\na=[1:4;5:8];\r\nb=[5:8;9:12];\r\ncorrect = [1:4;5:8;5:8;9:12];\r\nassert(isequal(concat(a,b),correct))\r\n%%\r\na=(1:10)';\r\nb=(11:20)';\r\n\r\ncorrect = (1:20)';\r\nassert(isequal(concat(a,b),correct))\r\n\r\n%% \r\nassert(isempty(regexp(evalc('type concat'),'(eval|evalc|regexp)')))\r\n","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":2540690,"edited_by":2540690,"edited_at":"2022-09-06T21:31:47.000Z","deleted_by":null,"deleted_at":null,"solvers_count":82,"test_suite_updated_at":"2022-09-06T21:31:47.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-04T11:30:49.000Z","updated_at":"2026-06-02T02:58:44.000Z","published_at":"2022-09-04T11:30:49.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven two matrices, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ea\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eb\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, concatenate the two matrices vertically, i.e., the number of rows of the result should be equal to the sum of the number of rows of matrix \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ea\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and matrix \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eb\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Assume both matrices \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ea\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eb\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e have the the same number of columns and the result will also have the same number of columns.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example, if \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"76\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"288\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"middle\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e The result should be \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"114\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"82\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"middle\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" 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