Problem 55240. Calculate the mean of each half of a matrix

Created by Matt Tearle

Solve Later

{"parts":[{"partUri":"/matlab/document.xml","contentType":"application/vnd.mathworks.matlab.code.document+xml","content":"<?xml version=\"1.0\" encoding=\"UTF-8\"?><w:document xmlns:w=\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\"><w:body><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>Given a matrix with an even number of columns, n, return a 1-by-2 row vector where the first element is the mean of all the elements in the first n/2 columns, and the second element is the mean of all the elements in the second n/2 columns.</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>For example</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:customXml w:element=\"image\"><w:customXmlPr><w:attr w:name=\"height\" w:val=\"289\"/><w:attr w:name=\"width\" w:val=\"400\"/><w:attr w:name=\"verticalAlign\" w:val=\"baseline\"/><w:attr w:name=\"altText\" w:val=\"A 3-by-4 matrix. The first two columns are blue, the second two are orange. The mean of the 6 blue elements is calculated. The mean of the 6 orange elements is calculated. The result is a 2-element row vector containing these two means.\"/><w:attr w:name=\"relationshipId\" w:val=\"rId1\"/></w:customXmlPr></w:customXml></w:p><w:p><w:pPr><w:pStyle w:val=\"code\"/></w:pPr><w:r><w:t><![CDATA[A = [3 4 4 3;\n    1 2 5 3;\n    1 1 4 5];\nm = halfmeans(A)\n\nm =\n    2     4]]></w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>(2 = mean of [3,4,1,2,1,1], 4 = mean of [4,3,5,3,4,5])</w:t></w:r></w:p></w:body></w:document>","relationship":[{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/image","target":"/media/image1.png","relationshipId":"rId1"}]},{"partUri":"/media/image1.png","contentType":"image/png","content":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABkAAAASDCAMAAAAWMQOmAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAADkUExURf///wAAAABLhwICAwIDAwMCAgMDAgMDAwMDBAQEAzA7QzI+RzY2NjdETjlzojpHUkE9OENTX0VAO0dHR0laZ0tLS0xHQU9KRFhtfV1WTl1WT2F3iWRdVWd/km1tbW2Hm26Hm3BwcHGLoHGbvHV1dXaRp3iUqnpxZ3+dtISiuoV8cYmJiYmpwoqKioqqw46EeZSUlJeMgJeXl5yRhZ3C36KXiqWajaenp6fO7anC163V9a+klbCklrTe/7apm72wob6xocLCwsPDw9eIJNnKud+gUebXxOe3eu7ey/DRq/jn0////23rWgUAAAABdFJOU/4a4wd9AAAACXBIWXMAADLAAAAywAEoZFrbAABU+UlEQVR4Xu3deYPjyJa/9ekfOwUF1GUvGJZmrQvFsNPA8Cvu0DR15/2/H2TphNYIWTpxlA59/Xz+6bRsy2E7dZ60nZX9N/8IAIADAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQAIALAQEAuBAQQf9K5z9rHYuMcptF2rcnhBAQPX/3C9Cgv7VvUOggIHoICJpEQPQQED0EBE0iIHoIiB4CgiYRED0ERM///ThY/9P/vW3/9W0W+T/+f237v26zyP/VvkGhg4Do6QPyn/992/6b2yzyf/5r2/7pbRZJQPQQED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED0EJAoBiUJARBEQPQQkCgGJQkBEERA9BCQKAYlCQEQRED2xAfn+/eunxw5/+fTpq22KcF1AbLV2qsp1AfnSL/KLnaoSG5AfP77Z2r58s00RCIgoAqInMiDfh3GcxDXksoB87xfaeEB+9GtsLyA/hngkcQ0hIKIIiJ64gKzy8RCVkKsCYv1oOyDWj9YCssrHQ1RCCIgoAqInLCBfHzvaCBnNlwUkJa/pgKRB3VZAvvVrWgtZIwFRRUD0RAVk+/LDfLcL1LgoIOkFSNMBSS9A2grI9uWH+WEXqEFARBEQPUEBKfYjpCDXBGTsR8sBGfvRVECK/QgpCAERRUD0xARkmsW/fO2DYb+M9RAwna8JSOgSrwrINKobCshUtV++9cGwX8Z6CFgmARFFQPSEBGTqx+zlxjif68fzJQGZfWjTbkBmHzW0E5CpH7OXG2NC6tdJQEQRED0hAUmtWA7iMSvVb2JdEZDZi6Z2AzL7Ub+hgKRWLFc0rrX6TSwCIoqA6IkIyDiL7XSSfsavns9XBKRfmWk2IP3qTDMBGUthp5P0aql6oQREFAHRExGQ9AJk80ojnWEn3S4IyPQBSKfVgCw+q24mIGlVm1ca6Qw76UZARBEQPQEBSS9Atv9qsHzOOfEBmb+B1WxA5m9gtROQtKrtvxosn3MOARFFQPQEBCS9U5X5qMN+zq8d0PEB6ZfVLcz+Y1urxAekX1tXDvuPba0SEJD0TlXmo46glRIQUQRET0BAHnt4sJNzrQbE1pX++kqbAbFxnP5mSCsB6RfTsZNzBAR7CIieuIDk3qdKL07spFd0QOwNrK9RgetFB8TeEPoWNZZ7cQHJvU+VXpzYSS8CIoqA6AkISPpx3k7OtRkQ60eXjYYDYv3ostFYQNILIzs5R0Cwh4DoCQhIN5G/fv2UjUSbAZmK13BApjndWEC6tn379iUbCQKCPQRET0hAioIGdGxArGqPt9zaDYjN4scbRc0FpChopQREFAHRc21AHjvvNPVrvNMbWA0HZHoD604B6dfJr/GigIDouTQgO7/ge0poQPoV2ZqaDUi/LPug4TYB2fkF31MIiCgCoufKgIz/Ws9Ou0UGxKI2NK3VgNgoHibxXQKS/h1h7UcgBEQVAdFzZUBsPFe/gxUZkPkbWM0GZP4G1n0CYuusfgeLgKgiIHquC8j4+qN+PAcGpF/R+Jqo0YD0ixp/kr9HQMbXH/XrJCCiCIieqwKS/pF3p/YTkMiA2KrSktoMiBUjfZRwh4Ckfy7fqf0EhIDIIiB6rgjI9+/p0/OH+n7EBWT5BlajAVm+gdV+QH78SJ+eP9T3g4CoIiB6wgPy2N9cQD/CApLeVbOTbQYkvRdkJxsPSL+0mYB+EBBVBETPxQGp/vy8FxWQ1RtYbQZk9QbWrQJS/fl5j4CIIiB6ogMyfnTeC5nMYQGxtc2i1mBA7AXIbBS3HJDxo/NeyBIJiCwCoufagHSzuZ23sDZvYLUYkM0bWHcKSLdI3sJCEQHRc3VAQqZzTEA2b2C1GJDNG1j3CkjIMgmIKAKiJzog89+/MvUvQkICMvsbiqPmAjL7G4qjlgMy//0rU/8ihICIIiB6wgPy9Xvfi682m3u1BYkIiL00WraitYDYD/TLVjQdkG8/+l58s0X2agtCQEQRED3RAZmZXozUDuiIgPQLWbestYD0q1lP4JYDMjO9GKldKQERRUD0XBiQ2b9Gr5zQAQGxpax+rbixgFgqVr8Me5OAzP41euVSCYgoAqLnyoCMA7r2Taz6gGTfwGotINk3sO4TkHGltW9iERBRBETPtQEZ/1lh3YiuD0i/iG3H2gpIv5bt9L1PQMZ/Vli3VgIiioDouTgg4+cgdtqnOiAWis3roKYCYqHY/PR+o4CMn4PYaR8CIoqA6Lk4IOObWFV/06Q2IIU3sNoKSOENrFsFZHwTq+pvmhAQUQREz9UBSS9BXhmQ9I8btx/ENBSQ9E/yth8f3Ckg6SUIAcEWAdFzdUDSpw9VM7oyIJl/3JhXv0j/bM78k7y8qpBcHZD0KUj9IgmIHgKih4DMEJBq/RIJCHIIiJ7LAxLxLhEBmWk7IBHvtxEQUQREz0cFpOrXsAjIzC0CUvVrWAREFAHRExCQ79+/fv1U/JT8sf8Or0CeuE1Afvz49u1L8VPyfom8AkEOAdFTH5DHDjql4fvk7EMIyMyLA9KvobyKJ2cfQkBEERA99QHZ/5Aj/QrtK3+N9+unkn5pHTtZ9QdXagPypaRfYcdOVv2ZkPqA7H/IkX4ZmV/jxRYB0RMWkMKHHC0EpCziE/6kMiBlbf07kP0POQgIygiInvqApDeI8olIean/4Z6ABKgPSHqrLZ+IlJf6l0kERA8B0RPwIfpjDw92ciG9AHnx38IqISDn9Yvp2MmF9AKEv4WFDAKiJyAg6UVG7iXI3nnHEZBOKwFJLzJyL0H2zjuOgIgiIHoCAjL+ktP2barxLDvtREA6rQRk/HWx7dtU41l22omAiCIgegICMr7M2Mzh8Q2suhcgBOShlYCMLzM2CxrfwKp7AUJAVBEQPREBGTuxGsQpLNUDmoB0mgnI2InVilJYqldKQEQRED0RAZlKMX+pMf0f0et+BatDQDrNBGQqxfylxvR/RK/7FawOARFFQPSEBGRWkE9f+1p8n//r79p+EJCHdgIyK8iXb30tfsz/HX1tPwiIKgKiJyYgs4JsVfeDgDw0FJBZQbaq+0FAVBEQPUEB2SlIfT8IyENLAdkpSH0/CIgqAqInKiClgsTNZgISICogpYLELZKA6CEgesICMv/QfBLw8qNDQDptBWT+ofkk4OVHh4CIIiB64gLy+Ku3j51Nhs/TAxCQTmMBefz94H5do+Hz9AAERBQB0RMZkM7Xr/Y30u23sWJcFpBIlwUkUmRAOt++2V+bt9/GikFARBEQPcEBuQYBiRIckGsQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQREDwGJQkCiEBBRBEQPAYlCQKIQEFEERA8BiUJAohAQUQRETx+Q/+h/a9t/9Vjkf2wnWtUv8r//f9v2f95hkf/HY5EERA8B0fN3j4MVaM3f2jcodBAQPQQETSIgegiIHgKCJhEQPQREDwFBkwiIHgKip/8Q/V/7d9v2b9xmkf/Of9m2f/8Oi/z3HovkQ3Q9BEQPv8YbhV/jjcKv8YoiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHoISBQCEoWAiCIgeghIFAIShYCIIiB6CEgUAhKFgIgiIHquCsjXx36/2olawQH5/vXTp8cef/n06WvUEt8yID9+fPvy2OEvX758s00RCIgoAqLnooB8f+y2yYB879M28ylolWEB6VdVUjmoIwPyY4hHEtcQAiKKgOi5KCDDT/jtBWQI28qn73ZulaiA/OjXVNJMQFb5eIhKCAERRUD0XBMQ+ym/uYAMXdv6ZOfXiArIt35FJa0EJL/KL3ZuHQIiioDouSQg6ef81gJS6kdIQd4qINuXH+aHXaAGARFFQPRcEZDxfaLGAlLuR0RBogLSL6eojYAU+xFSEAIiioDouSAg0+cMbQVk1o+v3/uPPb7OPlCvLsgbBWT2Mc23Phj2y1gPAe9iERBRBERPfEBmn1M3FZApFvPPzKettQUJCsj+Z+hNBGRa4uzlxpiQ+oIQEFEERE94QOa/59RSQMZ1rUMxvjCx015BAbGPQGI+jt4ICUhqxXKNY1aq38QiIKIIiJ7ogCz+lUVLAUkL277QSAWpfAkSG5DKVxolEQEZS2Gnk/Tpf3X7CIgoAqInNiDfl59TtxSQfkEdOzkzvjax005BAelXEvPbTBkRAUkvQDZLTGfYSTcCIoqA6AkNyPztq4eGApJegOT+zWA6r2657xKQ9AJk+xqpfM45BEQUAdETGJDVy49OQwFJa7OTS3Ze3XtYMQFJQ9hORgsISHqnKpM4ewlS+x4WARFFQPTEBWT26Uea1g0FpF9PaUW7dTkqNCAXfQQSEZB+fR07OUdAsIeA6IkKyPzD80/74/q8+oCkN9fyf/UqLd5O+sQE5NrP0AMDklthenFiJ70IiCgCoicoIPN+dEPavmonIPuJ2M/LQTEBsR/iL/oIJCIgOyskINhDQPSEB6T/07b2NQE5rV/HZR+BRATkr3/98e3bl+wKCQj2EBA90QEZmrE4Ua8+IH//9evXT58+NR+Qiz9DjwlIEZ+BYA8B0RMbkPR/1hhOtRSQXfuvTw6KDMhVH4FcHJB+7fwaLwoIiJ7IgEz/Y6bHqc5dAtLOb2Fd/Bn6tQFJ72DVfoBDQEQRED1xAZn/f/0eO+3cJCDpHawG/h3I/BPqK/6H41cGJL39Vv3+GwERRUD0RAXk6+Lzg8dOOzcJSHoHq265IQHp1/EYwT/Sj/OD0P9b7EUBsfjVv3wiIKIIiJ6ggKw8dtq5SUD6tXaqPkMPCcj4GfoyHw9fQn6z97qAjK8/qv+WIgFRRUD0EJDxBUjdRyChAcmqn8zXBeRHevkR8U9YCIgoAqKHgKRPQCpfgIQEZPvCYy6gIFcE5Mfi7baAF0oERBQB0UNA0q9gVf7vQD4gIAHTOTwg/bJmIt5oIyCiCIietw9I6kftC5CQgPQLMV+G/914+l2sXvVrkIsDEvNRPwERRUD0vHtAxn5UrzU2IIvPzKeEhPwj78CALD+0ifiUpkNARBEQPW8ekPEDkNo3sEICMo3j1TtB0xmVP+NfG5BV97wIiCgCoue9AzL2o/oNrJCAjB+BbMbwNKhtg9PVAQl5FUJARBEQPW8dkMh+RAYk82P8OKnrXoJEByTzqX/9ixACIoqA6HnngIT2IyIg/R9K/5L/Tab0OUjdT/jhAfn2o1/t/JP+6t/EIiCiCIieNw7I+Pl5SD9CArKnX2mn6iVIdEBmphcjIZ/0ExA9BETP+wYkuB+XByQN6FYDMvvX6JUFISCiCIietw1IdD8uD0h6CVI1na8MyOzXjevexCIgogiInncNSHg/rg9IGs920uXagIxvswV8UENA9BAQPe8ZkOnj87B+EJDO+DmInfYhIKIIiJ63DMgV/bg+IDu/5HvYxQEZI1f/QQ0B0UNA9LxjQMa/3x7ZDwLyEPdJPwHRQ0D0vGFApo8/6v9+yQwBeehXGPFJPwHRQ0D0vF9ALuoHAen1KyQgyCEget4uIFf1g4D07EMQAoItAqLnzQJyycfnAwLyEParYgREDwHR814BubAfEQH58ePHt46dWksBsZMuAQF5rPFL8VPyfoW8AkEOAdHzVgG5sh8BAekXVh6+dvaLA9Iv4ekiCQi2CIiedwrI1I9P8f0ICMj+2z/pD7q/+G9h7X/IEbdIAqKHgOh5p4CMn58Hf3w+iAtIfvpGfAQSF5DLK0dA9BAQPW8UkGv7ERCQlIj8T/d2ZtU7WAEBSYvMJyLlpb5yBEQPAdHzPgEZ//35Nf0ICMhuI0J+tg8IyKFFBlSOgOghIHreJiDjByAX9SMiIOnn99xLEDur7mf7iIDsvdG2/ybcUQREFAHR8zYB6RfUuaofEQFJbw9lKrHXlhMCArKzyPEsO+1EQEQRED3vEpDxDawLfv9qEBCQ8WXGZgKnflS+AIkISLll4xtYdS9ACIgqAqLnTQIyvoF1WT9CAjL+CP9lGYqxH5WjOSQgYydWBRkXWfkqiYCoIiB63iQgs7/gvqOqLhEBmYbwPBXjxK4ezSEBKSxy2lr5KomAqCIget4kIP1ynnp9QGbD+Zdv/SD+Mb4q6fQXqRESkNkiv2QWWdsPAqKKgOh5j4DM/obJngYCMr3ayKgezUEBmWduI2iRBEQPAdHzHgE59g5WCwGZvxW0svpcxCUoIDsFiVokAdFDQPS8R0D61TzXQkCKw7n684+HqIBcv0gCooeA6CEgM20EJP8iJOAn+05YQC5fJAHRQ0D0EJCZRgLy179+W03niHevenEB2S5y+Dw9AAERRUD0XBOQYNUB+QiRAel8+/ZlGND2i04xIgPSuXCRBEQPAdFDQKIEB+QawQG5BgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9BCQKAQkCgERRUD0EJAoBCQKARFFQPQQkCgEJAoBEUVA9PQB+Zf/zbb9q7dZ5L/+H7Tt377NIgmIHgKi5+8eByvQmr+1b1DoICB6CAiaRED0EBA9BARNIiB6CIie/+FxsP4z/2Lb/tnbLPKf+5fa9i/cYZH//GOR/4l9g0IHAdHDb2FF4bewovBbWKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiIHgIShYBEISCiCIgeAhKFgEQhIKIIiB4CEoWARCEgogiInqsC8vWx3692otZVAYlf5CWz+ctjz798sVNVCAheh4DouSgg3x+7bT0gFyzyitn8o19mYwHpl1TyzS7kREBEERA9FwXk02O3rQfkgkVeEBDrR1sBSYvKIyDIISB6rglI/95Q6wG5YpEXBGR4A6uxgHzrl1RCQJBDQPRcEpDhvaHGA3LJIuMDMv6sT0BwcwREzxUBSaO56YBcs8jwgEzvFTUVkH5FRQQEOQREzwUBGUdzywG5aJHhAUlvYBEQ3B4B0RMfkGk0NxyQqxYZHZDZW0UtBWT/M3QCgiwCoic8ILPR3G5ALltkcEDmg7qlgFjXQpa0RUBEERA90QGxX20atBqQ6xYZHJB+gabBgFS+0ighIKIIiJ7YgHwf/mlF0mZArlxkbECmD0A6LQWkX9Avv/ywk8EIiCgCoic0IPN3hh6aDMiliwwNyPKTBgKCmyMgegIDsvrJvtNgQC5eZGhA+uV15bD/2NYqMQFJZbOT0QiIKAKiJy4gsw8W0pBuLyBXLzIyIBaOH80G5KKPQAiIKgKiJyog88+lP/29fdFaQK5fZGBAxindXkCu/QydgKgiIHqCAjIfzd//vtGAfMAi4wJi/eiy0V5A0msjOxmNgIgiIHrCA/KpG83NB+SyRcYFZBrS7QWkX89lH4EQEFUERE90QIZxvDhRLzog1y0yLCCzd4maC8jFn6ETEFUERE9sQPqf7DvDqUYDcuUiowIyvYHVbkCu+giEgKgiIHoiA5Imc9MBuXaRUQHpV2afMjQXkIs/QycgqgiInriATJO54YBcvciggNiIHj6lbi4gtqB+dT++Dae+fInrCQERRUD0RAXk62wyNxuQ6xcZE5D5G1gNBqRfzuMjkB8WOhPVEAIiioDoCQrIymOnncYCstIvscmA9OsaP6RuLSDjZ+jLfDx8CfnNXgIiioDoISDtBWT+FtF0srmAZEWskoCIIiB6CEhzAVm+gdVeQLYvPOYClklARBEQPQSktYCM7xAl9wrI9MrJjYCIIiB6CEhrAVm9gdVeQPrVmC/fFr+L1ateKAERRUD0EJDGAmIvQGa/0NRuQBafmU8JqV0pARFFQPQQkLYCsnkDq7mATJ+hr96rms6o/HVeAiKKgOghIG0FxGqR+dG+lYCMH4Gs+jEviG1wIiCiCIgeAtJUQGw6L36EbzQgm37MClL3EoSAiCIgeghISwGxCbxsRWMB+euPb9++fMn1Y1xq5VoJiCgCooeAtBSQfkHrH+5bC8iefqWdqpcgBEQUAdFDQBoKiKViNX3vFJD0/hYBwRYB0UNA2glI9g2sewUkvQSpWiwBEUVA9BCQdgLSL2f76fStAmKLrfo9LAIiioDoISDNBMRm7+bTaQICDQREDwFpJSCFN7BuFpCdX/I9jICIIiB6CEgjAUn/hmI7eQkINBAQPQSkkYCkyftUVUgICF6HgOghIAQkEgFBEQHRQ0AISCQCgiICooeAEJBIBARFBEQPASEg5/z48eNbx06tpbthJ10IiCgCooeAEJBT+jWUV2FnExBsERA9BKSVgHwp6VfZsZM1bw4FBGT/XwqmX0bmb2Fhi4DoISCNBKSsrX8HkgKST0TERyAERBUB0UNACMgpKRH55diZVe9gERBVBEQPASEg5/SL6djJhZB3sAiIKgKih4AQkHPSe1i59dhZde9gERBVBEQPASEg54y/LratxF5bTiAgogiIHgJCQE7qV/Ngp0epH5UvQAiIKgKih4AQkJPGlyCr3yge+1H3CQgBkUVA9BAQAnLWWIp5KtLn5wELJSCiCIgeAkJATpsK8su3/lXIj/m/o+8vUoOAiCIgeggIATlterWRUfkBSIeAiCIgeggIATnvx+w1yFLdX1oZEBBRBEQPASEgHoWCxC2SgOghIHoICAFxyb4ICXj50SEgogiIHgJCQJy+rRIS8e5Vj4CIIiB6rglIsGsCEuyygESKDEjn2zf7a/Nfht/GikFARBEQPQQkyjsG5BoERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHRQ0CiEJAoBEQUAdFDQKIQkCgERBQB0UNAohCQKAREFAHR0wfkP/yf2vZf3GaR/93/07b/5TaLJCB6CIiev3scrEBr/ta+QaGDgOghIGgSAdFDQPQQEDSJgOghIHoICJpEQPQQEEH/Vue/bR2LjHKbRdq3J4QQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQEACACwEBALgQENzRn35Z+JNtvo+/2MqTv9h24E4ICO6IgAANICC4oxsGZLlGAgIFBAR3dDQgf/7TcMk//fkvLx7Rf/nFvhgQECggILijQwH5s52bvHRI/4mAQA8BwR0dCMjqIr0/23kfr1uNfTUgIFBAQHBHTwOyHtDJiwb1Yzn25YCAQAEBwR1ZQIqffeRefgxeM6kft2xfLqWQEBDcEQHBHT0JSLkfO9G5UL8e+3qJgODOCAjuaD8ge/14RUGGStiJJQKCOyMguKPdgMw/X/hT/7n5X/4y/42sDx/Ww83aiSUCgjsjILij3YAM5z3Mzp8n5IOntS3WTi0RENwZAcEd7QVkegNrOZWnFyYf+yZWKpedXCIguDMCgjvaC8hwVmc9lP8ypuVDx7XdJgGBHgKCO9oJyPhW1XYmT69BbMNHGKtlp5cICO6MgOCOdgIynJP/V+djQT5uXk8fvdiGJQKCOyMguKNyQNLAzn/OkV4OfNjfNJle9BAQ6CEguKNyQPYTkeZ1Pi8XSMvp2JYlAoI7IyC4o+cBsZNrdm7p7Giz3x0mINBDQHBH5YAMZxRfYuz+Tm242RtYBASCCAjuqBiQNJBLH3J87MCevYFFQCCIgOCOygH586A0kD90YC/6QUCgh4DgjspvYT3xkQM73ZaxrUsEBHdGQHBH7oB85GcgyxcgBAR6CAju6A4BWfWDgEAPAcEduQPivuJp4xtYKSS2fYmA4M4ICO7I24H9f6ceym7plz/vvughILgzAoI78gYkvRq4/k+ZpFv60/67ZgQEd0ZAcEfOgIxvK9np68xuiYBAFgHBHTkDMr0suJrd0OOlDgGBLAKCO/IFJPXj+hcg81IREMgiILgjV0DGt5UufwGSmtFHg4BAFgHBHXkCMvbj+hcgdjtDFggIZBEQ3JEnIOMbWJf/Ctb8DSwCAmEEBHfkCMjYj499A4uAQBgBwR2dD8jH9WN8q8yiQEAgi4Dgjk4HZJzq14/qlKq0OAICWQQEd3Q2IB/Yj9UbWAQEwggI7uhsQIaLdy7/AH1M1ZgEAgJZBAR3dDIg6V2lE+95ea3fwCIgEEZAcEfnAvLSfhAQ6CIguKNTARk/lcjP8EjbN7AICIQRENzRmYCMQ/0DpnTmBQgBgS4Cgjs6EZBX94OAQBcBwR2dCEga6sderlQZW7XIAQGBLAKCOzoekA/sx/x/AjJDQCCLgOCODgckTe/C/A6VWrVaFQGBLAKCOzoakPFNpQ+Y0Pk3sAgIhBEQ3NHBgHxkPwpvYBEQCCMguKODAUlvKh14r6ta4Q0sAgJhBAR3dCwgH9mP8cMWOz0hIJBFQHBHhwLykf2Y/lzjM3Z5Q0BwZwQEd3QkIB/6AcgYq6fsCoaA4M4ICO7oQEA+tB/jG1jP2TUMAcGdERDc0YGADJfoXP6/AJnH6jm7iiEguDMCgjt6HpDxPaWP+ADk+BtYBARKCAju6GlAPrQfJ97AIiBQQkBwR88CMo1023CpP+2yhfxiJ+06hoDgzggI7uhJQKbPJBoYzPw7EMgiILij/YBM/fiAD9CfIiCQRUBwR/sBGd81KvvAgU1AIIuA4I52A3KgHwQECEBAcEd7ATnSDwICBCAguKOdgEwfgOwhIEA9AoI7KgfkWD8ICBCAgOCOygE59AYWAQEiEBDcUTEgB/tBQIAABAR3VH4FcjMEBHdGQHBHBARoAAHBHREQoAEEBHdEQIAGEBDcEQEBGkBAcEcEBGgAAcEdERCgAQQEd0RAgAYQENwRAQEaQEBwRxaQ5H4hSeFICAjuiIDgjggI0AACgjsiIEADCAjuiIAADSAguCMCAjSAgOCOCAjQAAKCOyIgQAMICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFwICADAhYAAAFzePCC/2X8BAGe9eUA+/5NVQj7/k4XPthltevJ0feYHBOBK7x2Q37qh86t9PSAgt7L7dD2eXfsSwBXeOyC/bqbO6wNCs07Ye7r683gJAlzorQPy+BF1NWWOBeS3334dLvj58/IFTL3fXvlD8+xu3WPylp+u34azop+ec273eALnvHVA+hcgndmUKU+kSbpaEjqkPp8NyHLFFWuxkTvyvRQKWk5qu7GtG+Ul25YXvgSJeTyBlr11QOzIPvcKZDXaenGzobt9++qgVc2iJnbP8Rl01HLs+olt3Sg/XZkfDj5U0OMJNO2dA5KO8fn4fxqQ1QWSoNHwWJJ9edBw8yPvvCzcrdNltOsl3uWsX+TZ5o3y0zUOcDv9waIeT6Bp7xyQNKXmw98O/NKBnvu5chAzGh57si+PWQ8q38QOu1sxy9mux7YXZZ62tJRX/NR/9bcJ0Ih3Dogd04vptB+Q8mCIGQ39rdvXh2wW5JrYe3fr1ACOWc62Q56ApLV4XwRVCHs8gca9cUCyE2Y/IIvB9vnzcs7VF2RYkZ04ZDNpPeNyd96dmnghy8ktyM4oyj1tw6Zzj2eIuMcTaNwbByT3DtZ+QGbvzKdfy7Tf0+xVT4ZhN3biiM3Adk3s+V6G+5V+/bR3PIwxy8kNYDunyG55sdTs8/sRwh5PoHVvHBA7npfDKTeJkmmwzc/Ob/Ww27ZTJw3X9UzsWRZns3Y28jz3y67qewUySWuzk0W5py09MbVrOOuSxxNo0vsGJD9f9gIyTobVz7TjaKgbVUeHZZ5d+fwSigGcJp7jZ3i75isDkv8J4XLXPJ5AkwjI8mjeCcg4GTbHfxoN2ewcZjv56ICMWdysvnzOc3bNlwakrshe1zyeQJPeNyD58bITkHSF7XljWuy0y/gDqp0+ya58fmLbFXN3eVySe69NBORjf+C3Gw1+PIEmvW9A7Fg+HpB0+GfmUTqrYjCMP55+cEDG27XTC+l+5R6OfXbFlwYkdf1Dx/VFjyfQpLcPyGq6ZCfRYDgnPxnsLP9gmN45/+CA2PXyP6b7X1rZ9V4akPpnxcFuM/rxBJr0tgFJx/LqQC8HZPfn2Z3uHJN+Nu3YlpPsymcn9pORlpZ1+l0gu95rA3L02oGuejyBJr1tQArDpVyCXz8Pssd+Ggx28rTxjY+ObTrJruwNSOF6aV2nQ+C93kpMQD5wXF/1eAJNetuAFEZ+OSC7jg66gvHn1gfbdpJd+exkejZj7ex7BiQ9rB8YkKseT6BJbxuQwpH8moCkmvVs20l25bOTqdDRkfPxaCMgLxjXVz2eQJMIyJLzAK8LSJo6A9t4kl357Kz81djJDe/AG6726oB8/Li2hzP88QSa9K4BKb274TzAbdD55sLiDawPDsgz9w5IXdevQEAghYAsOQ/w4VrOeWm3mdjWk+zK0QHx7tZ7vRW5gNiCop8m4DXeNSCl0eILSNWntat+EJCZyoC84FP0J2xBBAQa3jUgaWrbyZEvIDU/6Y5vYJWWdIxdOXgyuSewXa+RgDQzr9srGlDjzQOymSyugKSxcDI7A7vuP/m17v0Wu3LwqLS93jUgFz0qfrYeAgIRMQEZ/mcHn9P/ZcnY/0ZnvXmpu9Bw9O9f7B9/tf+hwq/7F5uzPWd33O8rM1mGGzmXgvE1xOGVzdgNdrfYYEDGe2anj7PrEZAF/+MJNMkbEDsQ+iMzHeWd2ZE6+z/oFEfrb/PLdIpxmN1ENybsUnZyus35GFnuejNBSttLk2jHOBVOVcfMRkqDAUmP4fm9uq+4VBsQx9N5Jf/jCTSpPiCrCNhwX6chewivLvOQPbQW+XgY9mYnpqvMxsVm18s0pbm9CdZsF4f8NltbqX577KqPO9FeQMa6nb9ndsXa5dQGpO4xjVbxeAJNqg7IeFAk/cGx2ZoZydvL9DYH17pFvcel7MtcQDJXWew33fbmxk4E5Lf0rprZ7OuAtIPH7TUXkPEJcuzUf80FqYDUPJ5Ak2oDkqlAN0hzbVgf3JkZP1gN4ty+Ot2l7KtMQLL7nu837XQz9EuTKGN1I5tdHZDmWz/gmgvIeAcdd82uSUBmah5PoEm1AVlN0V5h5i8Pm9wVzeKChX48LmVfbAMyzuWF+XQpDpbSJMpY3gPXULDrDlduLSDj/fPss+Kqc7UBSd89dvKlqh5PoEmVATGf7TepBuOJx18/ty8f7Kq9eRc+P/540PyC82FsmwaLHW6H1HwfndXNz3cbHZAjl99Kexiu3VhApmfINpxiV20lIK68x6p7PIEmBQTk8zAlNh+b2/BIM6DUhXHGTDuYzYHZTtMF0+fW6axpSM1XMP5/O2apsi2d8IB4JtT4yCxPDqfOsitPD0al6WFzDV+7bu1yjj4mpaetnYBUPp5Ak+oDMh20s1Gd3TybJuPwXRzy40Qdj7Fxy/KCi1vKBmR+lI6bp43FwVSaRBmzW+scucbSeCdsWU0FpHbe2ZVvEpDF99M+38NR/XgCTaoOyPyYnY3U+ebx4LHTsy2rI35zSTu5OezmR3wuIMuLp+3TJW0wbad+aRJlzO7tw5GrLKTrpys2FZDxzp2+WwO79qsDktbx8oDUPp5Ak6oDMj+gZsfh4jizbdPG9ewcpYFhlxwPu81hO7upTEBW+00X3lxyezQXz8izf2zfOzka0l0dh2NLASk9kofZ1VsJyJN1XB6Q6scTaFJtQJYHhG1cb15lYbqcnZyxM+yAt1O543865qczx8PUTo9s87S9OHCKZxRlP7p5blz/+KA0FJAxbs7FhC1HJCD1jyfQpNqALI/M8UBZbl6/AkgXyxzW6aL9cZoul53MmdtKo3xz+XRZOxkakOlmc/enaLvWzSJPsSufWULRNE99P2937Pq1yzn6mBSftmH7s3VcHJCAxxNoUm1A7KQZjxQ7ndjWdBin4WknF+ys/khLl8seduNtTcMhXX4zLq4NyHi7T+fcJF1ldkPNBCRi3tkOapcjERD6AVkvCcjq5IKNjP684cvSNE/DZdpNmsp2cpLWNR7AxYFTPGNXuuEnc2oyPlCzkdJMQGxXVTur30NPIiB2zZgnB2hJZUBWR2w6ENcH8vL4TpfKHk82Mh4X3b1c7uw0x+3kJF30qoAUHo6ytNL5FVoJSFrb6QdhznZRu5wPCsilQh5PoEmxASltXh7faSr0/1R8w86bXa70Q5+d3UJAirecly6+uJlGApLWdvoxWLB9EJCgxxNoUmVA1gdmYfPy+B4Dsmd2ueFaW3b2dGPFMXJ5QM4NqrScZRrbCMi4tmK3D7F91C7n/gEJejyBJr0iIHZqX3e4PRvmdv50Y8UrfFhAjl3PLrx6mJoISNS8s53ULuf2AaEfkHbngNh0mW6seIVNQOyq20s+u82SM9dL93914SYCYrup3lHMXu4fELv9F64AuNB7B2Q7mJ7dZsmJ6T/+ULr6mbSFgIxPzekHYMV2Uzs2awOyeeI/WNjjCTSJgCw9u82SE9PfLrl5kBoIyPjMVM8720/dcm4fkLjHE2jSCwPy9KB6Nj1sP9ONFXfcUkDsFrY38fqAjK+N6geu7ecmAZnu+FNnHpnAxxNo0isCcnQqPLuc7dUTkLTBTk6Ku3ji8PRPF9xe8vAusuzKNRM7ct7Zjl4dkIPXvyYg9APyWg7IZuyv2Nk1AdnsurgL+1cqpYlo13s+/e1yz9nlj7JrVUzs0Hlne6pYTu/OAQl9PIEmvSIgxem9ki5XmEJpOExnHw9IWuhmCcVdDNszZwyenD1KoXnOrnCUXatiYo9Le3onDrBdVSynd+eAhD6eQJNeGZCn08UuVzj80wE67aY0RsoB2SyhuIt0a3Zy5ehdSgPtALvGUXatp49pUbqDMfPO9uVfzqA2IMWnc+mKgMQ+nkCTXhGQdKn8WPj11/EYTeMjf9DambMbK46LwIDkR+L+SkcnBtVHB2RKm22oY/tyL8fcNyDBjyfQpJcEJB1c2fEy256O6+zxnyb6bC/FcbENyOmJk9acXcs4gOx0ybjmA+wqR9m1sg/pAdMIPToh99nOvMtJggLybBnxAYl+PIEmvSQg49GVObiGi9oZ/dedzACYjtDpzNIYGS883d6TiZPJxHBGfhjZtbLnzUw/lR5g1znKrvVkBSXh88725lzOqDYgw+bqZZxGP/AeXhKQceBu53Q6ZxgZ48TdHIbTETq7sdIYyQSkNJmKu5hWth0JO2ct2G9yFdg+0t8otuscZVd2jkq7dtyoDdrdXQNit/uCWwY+0msCMo7/9RE/TdHhtJ3ajOZZP2Y3VhojIQEpD4X1op2ODss8u7JvYAXdgxnbn285k8qAbJ/3jxH/eAJNek1ApiNscWz/tjnwplAsdpnmSm86pzBGcoOkNFqKu5iv+fNi0baxUzenXheQ6Z7Zhnq2P9dyZioDUveQul3weAJNelFA0gU74zT+dTruplE82zb+dpZdMJ3lCsjxlU5ma0n/oPC3WT5qp+XLAjK/DwXZx2OPXa/yIakNyN6zeZ0rHk+gSa8KyPIge7znb1/2pkG/c7l01nRjxXmRLroNyJmRsxoMqzVXD4VXBWR1t7JO3ze73jsG5JLHE2jSqwKye5jN5nz5cr9tb6w4L9JOZjv2jJzd0VA9E14UkCPz7vyds+u9OCDD1upVnHLN4wk06WUB2TnQ5v0oXq67kH013diZgBRG025AZh/SbNQPqRcFpHyXZk4PPLte7aNSF5D0tNc/Nydc83gCTXpdQEpl2Bxb2an9SIF9Od1Yfox0MgHJbHoo7sKUxsNqNx6vCUjpDi2dHnh2vdrRXReQukfU56LHE2jSCwMyHeAz2T93u7nc8MG7nZiuUbiZfC1s0+r2irtIsjnLLfq0lwSkUPG10wPPrlf7wNQF5OmTGe+qxxNo0ksDsklD6a+l/7a4XLqUnZyuU7yZXEDcM2eTkIBXHw+vCMjBeXd+4Nn1Ti5noy4gw8bzi/e77PEEmuQNSJjffrUh8fnX3WnzW/rl3dqZlKQM2ElzICCdbjH9BT9/nv7yI15oNyBR3zEAVl4ekJdJP9wux8uxgKAx2actPcM0HrjI+wYk/wYHAbml7NNmG53vCQJ46o0Dkp0vBOSWsk/bsI3nErjMGwck+x4WAbml3NOWf48SQJw3Dkj6jZnF1CEgt5R72mwb72ABl3njgKS3OBYThoDcUu5pGzbxVALXeeeApB9R5+9xEJBbyjxtvIMFXO6dA5JGzHzsEJBbyjxt6ccDOwkg3jsHJDdj0iZDSNpWfrqyn3ABCPXWAcm8BCEgt1J+utI5vIMFXOetA5I+Z539U2UCcivPA2InAVzgvQPST5nF/+GcgNzKztM1nMUTCFzovQPyeKN8+R4HAbmVvaer/xTEvgZwhfcOSDeAVn9pj4Dcyu7T9dtnnj/gUm8ekN/Wf6mVgNzKk6dr8e4kgGhvHhAAgBcBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAQC4EBAAgAsBAZry0/4LtI+AAE35/R9WCfn9HxZ+t81o05On63etHxAICNCSn93Q+cO+HhCQW9l9uh7Prn2pgYAALfljM3X8Afm5LBGWrknx3tPVn9fcS5CabxMCAjTk8SPqasr4A/K7YzL8/OP34QZ//6OFSfezW8+wHM+d2fXzmtcC5afr53BWc1WveWQJCNCQ/gXIcsq4A/Lz9KyyETeqeMM+3ZGNMz/3r3cSOnt/9wTEFrI1PlLlp8u2tPYS5Py3yQwBARpiMybiFUj3YubkZFjdUs877XL76p0J4NaZ/OzrFmhfnZBb0uBAQDI/HDTg/LfJHAEB2pEG1HxOegPSXe/UZCgMR+fItmtvnVl/TtDP7497a1+eUHxddSQg4wNsp9tw9ttkiYAA7UgDaj4lbSKdHeSPXZ2ZDIV53fGM7PKkPXg/CjnrOIu28tiTfXlCv4CszYOUedrSQxzUwBBnv01WCAjQjmHALEebLyD9AD4xGcr9cA282oCU+xFTkP7u2tcn9LefdSQg6U5VDOxoZ79N1ggI0IzshPEFpL/W8cmwGNi/2y9ijc4XZLWDmWP3Y3H99XrqCzLcXTtx3OJRWjoSkOzPB6/Vr5KAAApy72BlJ9FTw56OT4b+4r30S50/Zy8izk9su2LGoX3Nbjv9NrH9Om/vfNBWht3YiePKr6uOBST7/L7S2W+TDQICNKM/nDt2cuAJiP2ofHgyTMN5PtvyW49Ik9JOnjX9pD+/1/mtHnbH7NRxw9WOPay5py3dg4qJHerst8kWAQFakZ8vnoAMVzk+Gezy6xuZRrZtOMqz5pnxJ/1VuMai1U1gb97Sw3Eop9mHYNjmDms0Ww0BAQTkB5RjGKcJeXQypMG8uY2xICdfgti1nJOpfKvFhZ5iOzk9xk+FJ/u0Vb4yC3b22ySDgACtyI+X8wEZB/DRyWAXz2QiTexzM6ZyTqarb+/yeM/stEu6T6d3Ylc79ljsBuRkj69x+tskg4AArbDjuTogwxU6BydDmiSZm/BN7PNLXkgTPjNm01kVMy8N8dMBSY/FsemffQzSLiqWH8fWQkAACfnj+fQ0TkP28GRIIzV3cdfPzHYd72Cyq2cHvJ3lbdMsiacDkh4KO/lE/mkbNlYsP87pb5McAgI0ovAT7tmAzCbkwcmQRomdXDj3Y/eg8ufs3auffTQ2prl5NiB7D9NWfqHnInSl898mOQQEaERhuJwdmcPFe0cDYuzkgicGlVPyD1tOtlnnpvhWWtuDbTrKrnX0QR0uXQjIqRd0l7CFPBAQ4P4Ks/FkQNJeHiomw8ixq5MrPqUyTrOfu8/uI1314OzPPwgnd3KdoG8TAgI0onA4nxvHiwn5ooA4rnJYZUDmc/PkPk7ecuFpG7Ze89icEPVtQkCARhQO51MBWQyGkDF1fleVM35f3c4X/Ti5D7vS0Qei8LSdejYvE/ZtQkCANpTe3Tg1cpYTMjAgJ95zuXRGWkB8O1/OzXMBKT09JYVH4dK6Hhb2bUJAgDZEBGQ1IQMC4hh4do2Iem1V7Xw5N88N8bMPRMsBifs2ISBAG0qj5URAVoMhYoafydcg3Y8//nj8OtUff/yM/MD47OuAhVU/zg1xu053h+xu2faSwgNXdQeCBH6bEBCgDWm82cnRiRGedpH+GxCQ83tKNz7zdNoeVvMD/Dg3S4/0nvXQ7aQ/fJ9XeNrSfgKeGrfAbxMCArTBDufN0VyYRBlpuv5D3LtIacacKEC6ykJQQtL4PfGCaGLX7V4a2Re2/ZBMQPYTUnrahs2vDEjktwkBgabh/z/0+2pw/cxvXuouNBz9+xf7xz/s/3H0/O2Mke05u+N+X5mjebiRAzNznHE/w6aU3fapgW1XWTv8GO2Y3cPzpvviCcg4dZfKD0zpaRs2vzAgod8mBAQq5kfD7HCfHR3z/6ldaQb9nF+mU4zDYqKkfzVtJ6fbnI+R5a43R21pe2kSbaTdd3uYvqoyLvjEwC5M2iN34Jlx9Hl2NV55WqKdc4hdZav00JSetsNP51VCv00ICFRMR8MqAnaIr9OQPYRXl3nIHl6bMTnszU5MV5mNi82ul6MnDbjNQJrtYte4pO5r+6piMnT7mxZ8ZtplHkFzZi9b8//F7omejeyqj8fEEZAxP1uFxZSeNk+9IsV+mxAQqBiPhs3B3h/i2xGwHWiFMbEZEesW9R6Xsi9zAclcZbHf2oCMa8+u45zHLxrZLh5OTX67Ts6p/cz8TG8Wms1DdEDawWMNjhk+q9dGfjmlp+3FAYn8NukQEKhIR0OmAt3BkmvD+uBeTKm51YjI7avTXcq+ygQku+/5ftNOV7d1OCDDpey251+ft7p/p+a+zUf7lOfn/HXDyT1NVo/d5hE6YFzG/ER/zjF2DfudZPsoLckuqPS0vTggdusR3yYPBAQq0tGQG9WFmb888nNXNIsLFvrxuJR9sQ3IYo6O5tOlOFhKk2gpXX24mJ0ICci5qd+vdnGV+d58C1o+MZ5+jHOzv/L5GT7ch8UtzxdlmxZKT1t6OOzkB4v8NnkgIFBhR4P5ffkmTDrx+DPh9uWDXbU3H3SPfy5W/MjdNg0WO9wekfN9dFY3P99tXUDGxQ97tBMRAVlMzee6a2z+Dnu6a52TexvMH7JzOUvSHoZrnw/I4xrrB3P2PmZuUaWnLT24rkeiVui3yQMBgQo7Gh7s9/M3H5vbkTINtPlRbJs64wE17WA2B2Y7TRdMb9Sks6Yjcr6CcbDOBrRt6RSnmu1if3IOlxlveXnqrEVAzu2juxeZhU473L8XBdkH8YzxCV+eHE4d0V04c7vTuspnthUQu+2Yb5MHAgIVdjR0poN2MQozm2eHzjgNFof8OHrG433csrxgYejOZt98Yoybp43FqVaaRHNpf+lCdtI5GRb35dyo+yO/zmmPnrk5exA7uw9E1njrduOegGTXPS4ss6bS05YW8+SBWD0He44/pLHfJg8EBCrsaFges7PZM988Hp52erZldcRvLmknN8ft/IjPBWR58bR9uqRNtc3AKU6imfG2043YyZiAnJhQ3Wsx+2Kl9PAeMnsSH07vIl0/XfF8QEr/Gmhc2fb84tM2bH/2oK6fgx2Hn57gb5MHAgIVdjQsD6jZcbg4zmzbtHE9ZEZp2tglyyNjdlOZgKz2my68ueR24BTPmAyXmO1tffq8xe9Pbe7reZvhddL8F5/2HoqM8Y7YaUdAitKiTjxtw/Znz83su+mZw4+oXT7y24SAQIUdDatD1jauN6+yMF3OTs7YGXaU2ancQTcd89OZ49Sz0yPbPG0vDpziGaPtFLMNFZPhYUpIQEHSIv1ryn4i9dw2XYEBGXdupyfFp23Y/uxxuCAgV3ybEBCosKNhdTiMQ3C5OR2faWu6WOZYShftj9N0uewIy9zW9qA1myFWHDjFM5LthAwKyGyK2YYK477stEd6NE/dse1TsHnsK6S9b1ZUfNqG7c/uwvTQP3UwIJd8mxAQqLCjYTUWSnPLtqZjJ80BO7lgZ/XHXbpc9qAdb2s6IovzJS4gmcEQMBkGmXvkZnuqGtvp4Tyxk3SV2eMXGZC0r80DVHzahu3PHtHxkX/uWECu+TYhIFBhR8NqLIzHjZ1ObGs6dlYnF2xG9OcNX5am+XaapPFlJydpXePhXBw4xTNMZkIGTAZTevgcNvfYI93Zw/csNzcjA1J8eopP27D92T0Y1/3csQf0mm8TAgIVdjSsjth0IK4P5OXxnS6VPZRs3jwuunu53NnpsLWTk3TR6oCkHS3miG2qmAxJGrZVY7/35LE7yHZSejQ2cnPzioBsdlZ82obtEc/NGRd9mxAQqLCjYX3EFjYvj+80Uvp/Kr5h580uVxqndvYHBiQ7GAKHVMzY74XsqfiA5qWLLx690ICUdlZ82obtEQ/oCVd9mxAQqCgcDYXNy+N7DMie2eWGa23Z2dONFcdIVEDs3NXZtjFiSMVN2/07ctSwk4N3LT83QwOyeSJN8d4O20Oem+Ou+jYhIFBROBoKm5fHdzq+dnUj4tkMtPOnGyteISggY/nstLGNEUMq3cJ6QJ737ME7ZtjJwb3YhVcPxPsF5LJvEwICFYWjobB5eXzbqX0HAmIH6nRjxSts5o5ddXvJvdvM/4QdOqRKA/K8Zw/eMWf2YpddX/jtAnLdtwkBgYrC0VDYvDy+06TZ1R19z6ZXfUC2U23vNtO612fa5pAhFbavZw/eMSemf2luvjQgpctf6bpvEwICFYWjobB5eXynI2xXewFJ19lcyTbXD/1O2L5idnRi+tslN7cYGpDSzkpP2wsCcuG3CQGBisLRUNi8PL6fhSF5NnpsP9ONFXccEZC0j+0wsu0Vk2EStq+YHR2f/vbAbR+547s4oLSz0tN2MCDjc/vcsxRd+W1CQKCicDQUNi+P76Mj5dnlbK/TjRWn/2aOpA12clLcRbprmQFQPMMhal/psXs27544PP3TBbeXPLyLI2xfm6en9LQdvPHAgNjFLvk2ISBQUTgaCpt9AdmM/RU7e7qx8wHZ7Lq4i3FCPrM/IP6wf+1iJ9fSuiqmzMDux9PH2JZTur2juxnn5lN2eZ/iw1N62j48IEHfJnkEBCoKh0Fh8/L4Lk7vlSfTNB2r09nF6b+9xc0GU9rF8RGzPxnSogv3/cnZC6X/G8hDWm4pVKMnl3ty9iiF5jm7QtnebaWbOfy0fXRAor5N8ggIVBQOg8Lm5fGdjrKnx5BdrnD4p2ky7aY0RsZbnI5+27BZQmkXw+Yj9u/Vk/ue7pOd3NNdtDzMto9Nwf4NHn2mDv/cfWSUlwuSlrPdSelpK21fGXf83H5A7EIHPH1mMggIVBQOg8Lm1XE8nCoMkz+m/yHd/s/jdubsxorjIg0Id0Bs8xH7k6E8A3t25rOB13msqHixcaDb6bJ0x/KrPviC6MT8fbKifk/FW+t30NkutvTMl7avRAUk7Nskj4BAReEwKGxeHcdpLmUPotn2dFxnj//xYJ32UhwXaUfT0V+6aH77mQmZvVMTu1R+EKX79GQfneGS2QdmttzC+TPpqchectyPnS5Jyz7CrpJnN1gY0uPNbM/PP23j9meP54nndy8ggd8mWQQEKgqHQWHz6vgeD7TM0Thc1M7ov+5kjrbpYJ3OLI2R8cLT7T2ZOKvtw8ZjnkyGvRcH432y02W2zMxd7UwPjW3YY5fMLjvdytG7dIRdJ2vv+2JaTW45padz2PzsDkSxWzvEsyQCAhWFw6CweX18l+ffOCX6U+No2kyUaUjObqw0RjIBSXu2k6PsLtKvThUMV+mu1MsOv8m48PIqM2etTPc+c9HdMzfG1W/XvXPWwnC/S2wf6U8v23WyxsvmbvHImZu9D5s/KCCR3yZZBAQq7GBwBqQ4KqejbDhtpzZDYxqSHxGQJ4arHJ1SYxTXM2S6T8+Hy/g4bfYyez1w7E7YhYtP2skHY6P0SGfMntX1Yqb/RXv20Sk8bdvn/YVsLQe/TXIICFQUjobC5s3xnR8H05RIl5xGymKX05DsTOcUxkhukJRGS3EXO4arHJ0MpSk5PSQHbny2k2VC/ph2c3Bszm538VzYxs6x/ZScCMhsLcsH5+fsCc8+OoWn7cxtX87WcvDbJIeAQEXhaChs3h7fw4aHcWxlZ99s2/jbWXbBdNZ0Y9ubMZlc2JbnK31uuMrhyTAf/uk+zX7APjbu5jsZdzN/BI/P/dmV0j8o/LlY47DN69QQX9wBW828HqVnpvC0FTa/xrCWmoeTgEBF4WgobN4eyMsB+HhT2L7sTbNv53LprOnGivMiXXQbkIiRM1zl+GRY3NX+TtlXg2ODf/nAZBztx3pP6+XUTt9zrwJWj81GYTWFp62w+TWGtRAQoD4guwNwPvuKl/u5vbHivMgEJHDkDFc5MRnsRvKODv4nBTncjyd7qh6+J99G2n1siqspPG3D1pqZHah+MQQEKgpHQ2Fz7vguj63l7CtcrruQfTXdWHH6ZwJSmGvFXewYrnJmMizelFnYfCZetjf3T+yms3gDbali3JmTAdktSHE1+actPUL1dyJC/WIICFQUjobC5uzxXRiAm9mdHW+PAWlfTjeWHyOdTEAymx6Ku9gxXOXUZCgN/1O3W+7Q6SGVe4gfTnUo72xAyjnbqWL+aTt905eyxZx+biYEBCoKR0Nhc2EsZwZg9u/Cbi43jBI7MV2jOP1ztbBNq9sr7mLHcJWTkyE3/M+9bugsP19OzlVokJ3a5+5RgWOKL38ZINl7cPJPm+fJvM6wmJoHlYBAReFoKGwuHsmrAVj6s+KrX8SxS9nJ6TrFm8kFJG7mDFc5PRnWw9815zYJKT2ET20ScrZmBY6AZBIy/YG0rPzTNmz0PbDxbDXe56dDQICVn3/YhPn9j91D62f65d2KA3AhjSg7afKT6CI/7U79Xv4fchzQPYL20Dx5CJ/qlmPreTKvP0J3r+xuzf68Zkn+aRs21ozsthAQoBXpJ+PleMlPIjQu+7SlZ/j1MQxCQIBm2HhZDh0CckvZp802NvIZegACAjQjO18IyC1ln7Zhm9BzSUCAZmTfwyIgt5R72vLvUd4ZAQGakX41azF1CMgt5Z4226bzDhYBARpiA2YxYQjILeWetmGT0lNJQIB2pB9R5+9xEJBbyjxteu9gERCgIWnEzMcOAbmlzNOWfjywkwoICNCQzIxJmwwhaVv56cp+wnVzBARoSOYlCAG5lfLTlc4RegeLgABNsSEz+6fKBORWngfETkogIEBL+imz+Bu4BORWdp6u4SypJ5CAAC15vFG+fI+DgNzK3tPVfwpiX2sgIEBTfl//pT0Cciu7T9fP38WePwICNOXn+i+1EpBbefJ0nf4/dLWNgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMCFgAAAXAgIAMDlbwAAOO9v/ub/B94sX24fvn9bAAAAAElFTkSuQmCC","relationship":null}],"relationships":[{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/document","target":"/matlab/document.xml","relationshipId":"rId1"}]}

<div style = "text-align: start; line-height: 20.4333px; 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: rgb(0, 0, 0); white-space: normal; "><div style="block-size: 559.533px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 279.767px; transform-origin: 407px 279.767px; vertical-align: baseline; "><div style="block-size: 42px; 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; "><span 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: 384px 8px; transform-origin: 384px 8px; unicode-bidi: normal; "><span style="">Given a matrix with an even number of columns, n, return a 1-by-2 row vector where the first element is the mean of all the elements in the first n/2 columns, and the second element is the mean of all the elements in the second n/2 columns.</span></span></div><div style="block-size: 21px; 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 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><span 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: 39px 8px; transform-origin: 39px 8px; unicode-bidi: normal; "><span style="">For example</span></span></div><div style="block-size: 294.5px; 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 147.25px; text-align: left; transform-origin: 384px 147.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><img class="imageNode" style="vertical-align: baseline;width: 400px;height: 289px" src="data:image/png;base64,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" alt="A 3-by-4 matrix. The first two columns are blue, the second two are orange. The mean of the 6 blue elements is calculated. The mean of the 6 orange elements is calculated. The result is a 2-element row vector containing these two means." data-image-state="image-loaded" width="400" height="289"></div><div style="background-color: rgb(247, 247, 247); block-size: 143.033px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 71.5167px; transform-origin: 404px 71.5167px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; "><div style="background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; 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; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; "><span style="block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 52px 8.5px; tab-size: 4; transform-origin: 52px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; "><span style="margin-inline-end: 0px; margin-right: 0px; ">A = [3 4 4 3;</span></span></div><div style="background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; 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; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; "><span style="block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 48px 8.5px; tab-size: 4; transform-origin: 48px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; "><span style="margin-inline-end: 0px; margin-right: 0px; ">    1 2 5 3;</span></span></div><div style="background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; 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; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; "><span style="block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 52px 8.5px; tab-size: 4; transform-origin: 52px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; "><span style="margin-inline-end: 0px; margin-right: 0px; ">    1 1 4 5];</span></span></div><div style="background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; 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; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; "><span style="block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 64px 8.5px; tab-size: 4; transform-origin: 64px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; "><span style="margin-inline-end: 0px; margin-right: 0px; ">m = halfmeans(A)</span></span></div><div style="background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; 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; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; "><span style="block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.5px; tab-size: 4; transform-origin: 0px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; "><span style="margin-inline-end: 0px; margin-right: 0px; "></span></span></div><div style="background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; 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; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; "><span style="block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; "><span style="margin-inline-end: 0px; margin-right: 0px; ">m =</span></span></div><div style="background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; 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; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; "><span style="block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 44px 8.5px; tab-size: 4; transform-origin: 44px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; "><span style="margin-inline-end: 0px; margin-right: 0px; ">    2     4</span></span></div></div><div style="block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; "><span 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: 164px 8px; transform-origin: 164px 8px; unicode-bidi: normal; "><span style="">(2 = mean of [3,4,1,2,1,1], 4 = mean of [4,3,5,3,4,5])</span></span></div></div></div>

Solve

Solution Stats

464 Solutions
215 Solvers

Last Solution submitted on May 31, 2023

Last 200 Solutions

Problem Comments

Solution Comments

Show comments

Problem Recent Solvers215

Problem Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Problem 55240. Calculate the mean of each half of a matrix

Solution Stats

Last 200 Solutions

Problem Comments

Solution Comments

Problem Recent Solvers215

Suggested Problems

More from this Author22

Problem Tags

Community Treasure Hunt

Problem 55240. Calculate the mean of each half of a matrix

Solution Stats

Last 200 Solutions

Problem Comments

Solution Comments

Problem Recent Solvers215

Suggested Problems

More from this Author22

Problem Tags

Community Treasure Hunt

Players