Problem 55485. Array Concatenation (2)
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.
For example, if
The result should be ![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCADkAKMDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U6KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAr5bvP+Cnn7M+n3k9rcfEry54JGikX+wdTOGU4IyLbHUV9SV+bX/BGz/muv8A2HLX/wBuaAPssfGK++LXwf0rxh8Do9M8Wprk729lqOsvPY2lsiPLFLcSxtGJnCSRFfLVQzEjBC/NXx78BY/H+jf8FTPE3h7x949m8e3un+EZZoLn7L9jtrdJjaymKG2DusaqW25BJbaCeTX6OV8B+D/+Ux/jn/sSo/8A0XZ0AfflFFFABRRRQBi+NrHV9U8Ga/ZaBdx6frtxp9xDp93KSEguGjYROSASArlT0PToelfMHwx/4J7eFL74cRw/HAy/FP4hXyu2qa9f6pdz+U7FtqWjOytGqAgBgqknnjgD65r5s/aW+OHiK78TW3wT+EbpN8Vddt/NutTYE2/hnT2GHvZmHSTB/dp1LEH+6GAPH/8Aglr4v8TyX3xw+Hup69feJvDHgjxEthoWo38rTOYzJcxuiu3O3EEThegMh4G6vvOvMf2dP2ffDP7NPwv0/wAGeGkaSOIme91CYfv7+6YDzJ5D6nAAH8KhQOlenUAFFFFABXzF4i/ZM1j4tftHeLvFHxP8RzeI/hUba1i8N+B4tSuEtY5PIRLmS7t1VEY+YHK/M+RId2NoA+na4r4s+CfEXj7wxHpfhrxzqPw/vftCyy6ppdpb3E0kQVgYsTIwUFmVty4b5AM4JBAPhXxF4Li/Zh/4KJfCjwn8FprrSNC8WWjTeJPCFtdSTWKQB5N1x5LFvL+VWYEYwYzjAZgf0fr84fAtx4l/YM/ay8MeFfHElh8SNP8Aizd/ZLf4g3FtImu/aTJHEsMzvI+6NWlgUqpA2urDG0qf0eoA+dfiB/wUI+AHwt8Z6t4U8UePv7M1/Spvs95Z/wBjahN5T4Bxvjt2VuCOQSK9F+CX7QngD9ozw/fa38PNf/4SHS7G6+x3E/2O4ttk2xX27Zo0Y/K6nIBHPWvRa/Oz/giZ/wAm/wDjn/sZ2/8ASSCgD9E6KKKACvza/wCCNn/Ndf8AsOWv/tzX6S1+bX/BGz/muv8A2HLX/wBuaAP0H8ba9qnhnw7PqGjeGb7xdfxsgTSdPuLeCaUFgCQ9xJHGNoOTlhwOMnivgrw/4R/aB0v9u7XfjlN8A9Qbw9qmlLow0yPxPpBu4oxHColybkIWJhzsyBhsbjjJ/ROigDI8J6xqGveHbK/1TQrrw1fzKTLpV9NDNNbkMQAzwu8ZJAB+ViOfXNa9FFABRRRQBieNtS1nR/B2uX3h3Sf7e1+3sppdP0szJCLq4CExxF3ZVUM2AWJGATX5xfA3Tf20/gfH4lvLb4C+HvEPibxNqL6nrXiHVtfs2u7yQk7EJW9AWONTtSMDauTgcmv04ooA+X/2T7z9ozxF8RvHniD45eHbfwhplxZ2NvomjafqEFxaRsjTGZ1WOeUhzuTczEZ+UDhcD6goooAKKKKACvkzUNM/aO+Ev7R3jnxVpGjp8V/hf4k+zmz8Op4iW2u9IaONULQJdbYkDN5hZEbDZU5BXB+s6KAPja++BPxJ/ad/aO+H3xF+Jvhu1+HXhD4eSte6N4dGpxahf3t4ZEcSyyQ/uo1DQwnaGY/u8c7iR9k0UUAFfnZ/wRM/5N/8c/8AYzt/6SQV+idfnZ/wRM/5N/8AHP8A2M7f+kkFAH6J0UUUAFfm1/wRs/5rr/2HLX/25r9Ja/Nr/gjZ/wA11/7Dlr/7c0AfpLXn/wARPj14C+E/ijwh4b8VeIYtK1zxberp+i2PkSzSXc7Okar+7Rtg3yIN77Vy3XrW58RviFoXwp8Da14u8TXq6foWkWzXN1cNzhRwFUd2YkKq9SWA71+XHxm8J+J9b+PH7MXxi8eJcWfivx38QLB7TRJWO3RdIiurU2dpt/56ESPLIcD55CMAg5AP1rooooAKKKKACvlu8/4Kefsz6feT2tx8SvLngkaKRf7B1M4ZTgjItsdRX1JX5+fsRXHwG0f9nTSZfiNL8ObLXrvWdWAfxQ1hHdTAX8wXmf5mGAAPpQB9TfAP9qfwB+01P4mPw+vbzVtO0GS3hm1Oaze2gneVGYCISBZDt2kNuRecYyDmvXa5vwL4a8I+H9J87wbpWi6bpl9ibzNCt4YobjjAfMQCtx35rpKACiiigApGYKpJOAOSTS18KftcePNV+Pn7R+h/s06L4gk8M+EYtOOu+P8AV7aZYZRZABha7z9wMGi3HofPTOVVgQD6N0f9rn4O+IvihZ/DzSPiBpOreL7xpEhsLB2nVnjVmdDMimIMAjfKXB4xjNevV5F8Cbz4H+H7EeEfhLq3gpvsEeyXT/DeoWs84C8FpfLYuzZ6s+ST1Neu0AFfnZ/wRM/5N/8AHP8A2M7f+kkFfonX52f8ETP+Tf8Axz/2M7f+kkFAH6J0UUUAFfm1/wAEbP8Amuv/AGHLX/25r9Ja/Nr/AII2f811/wCw5a/+3NAH0R+118D/AIpfGzxZ4Aj8Mnwjf+A9Au/7W1PQPEl/dWw1S8TPkLL5MEoaGM4fafvEkEcAj5i/bhvPjXL8Yv2ZG8WaP4BtdTTxrAdETRtVvZoZbr7RabVuWktkZI92zLIHbBbjgZ/Tqvl/9p/9kXxd+0R8TvAXiqy+J1j4TtfA98mqaNp3/CNG8P2pXikMk0hu0Eg3QphQigDI5JzQB6z8D7D4pWei69L8WNQ8P3mtXery3Gn2/hoyNaWNgYoljg3yRRu7B1mYswJPmdcAKPR6gsUuY7G3S9liuLxY1E00ERijd8DcyoWYqpOSFLMQOMnrU9ABRRRQBX1DULXSbC5vr65hsrK1iaae5uJBHHFGoJZ2Y8KoAJJPAAryHw3+zT8Bdc8LSz6J8PPBGsaFrm68+222nW11HdiUlvMSbDZU5ypVsDjbjAr0/wAXeGbXxp4T1rw9fPLHY6tZT2E7wMFkWOWNkYqSCA2GOMg89q+Z/hz+yH8U/gv4PXwZ4D/aCudO8HQFhZWuseFLbULyxRmLMsVx5yDqxPzRsAegA4oA8q/4Jzrc/Db9oz9or4QaRfTXngHw5qguNKtpJGlSxZ5ZFMSsScHbhW9TDnrmv0EryL9nH9mbwv8As1+H9XtNEuL7Wda1y8bUdb8QatIJL3UrgljvkYAAAFmwoHG5iclmJ9doAKKKKACvzS+Gvwj8NfEz/gql8d9O8f6Ta6/Db6XBf2umahlreddtl5ZkhJ2zKqlOHDKGAOMgY/S2vBvjN+ynB8QviVpHxO8H+K734c/E7TLc2Sa7ZW0d3BeWx/5Y3Vs5CzKMnHzKRnr8q7QD5S/4KmfDHwx8DfCvw1+K/wAOtA07wl480vxVb2dvcaHara+ehgnmAdIgokw8CDkZw7L0OK/SG1kklt4nli8iVkBeLcG2MRyuRwcetfN5/Y/1T4g+P/DXir4y/Ea4+JH/AAjNyL3R9Cs9Hi0nS4bgYxLJEryPMwKgjdJjtjBIP0rQAV+dn/BEz/k3/wAc/wDYzt/6SQV+idfnZ/wRM/5N/wDHP/Yzt/6SQUAfonRRRQAV+bX/AARs/wCa6/8AYctf/bmv0lr82v8AgjZ/zXX/ALDlr/7c0AfpLRXgX7W37T+qfs1aX4QOg+ALz4j674l1NtNtNHsLtoJSRE0hZdsMpY8D5Qo4yc8V4Xqf/BQb446Lpt3qF/8AsfeKrOxtInnuLibWZFSKNVLM7E2OAAAST7UAfeNFeWfsy/GXU/2gfgvoHj7U/Cp8HNrIkmt9Ma++1nyA5VJC/lx/fA3AbehHrXqdABRRRQAUVV1TVLTRNMu9Rv7iOzsbOF7i4uJmCpFGilmdiegABJPtXzL4P/bA8afGyxvtc+DnwauPGHg23mkt7fX9e8QQ6ImoSRkq32aIxSuy5BG5wg7HBBAAPqSivCf2dP2tNE+Pmv8Aijwnc6DqXgn4geF5Amr+GdXKNLECceZHIh2yx5wNwx1U4wyk+7UAFFFFABRRXgnxI/asj0T4sH4WeAPCN78SviJDai9vrC1u47Oy0yE42td3TgiMkMpCqrMdw4yVBAPe6K+cvCv7XF9YfGLRvhh8VfAM/wANPE+vxPLoVzHqkeqabqZT70aXCpGUk/2GQdhnLJu+jaACvzs/4Imf8m/+Of8AsZ2/9JIK/ROvzs/4Imf8m/8Ajn/sZ2/9JIKAP0TooooAK/Nr/gjZ/wA11/7Dlr/7c1+ktfm1/wAEbP8Amuv/AGHLX/25oA/Ra+0DTNT1LTdQvNOtLu/013ksbqeBXltWdDG7RORlCyMykqRkEg8Gvl/9u7xNfeMrfwX8APDlw8PiH4m34tr+eEndZaNCRJezf8CRdgB4YGQV9V3FxFawSTzyJDDGpd5JGCqqgZJJPQAd6+Nf2Mmm/aG+N3xO/aM1BGk0i6mbwp4LEq42aXbvmSZQRx5smD6hvNHSgD6/0DQ7HwvoWnaNpdutnpmnW0dpa28f3Yoo1CIg9goA/Cr9FFABRRRQBxXxs+HsnxZ+D3jXwXFef2fNr+j3Wmx3RyVieWJkVmA6qCRkDqM18VfsY/taeE/2efhBL8Hfifbaj4f8XfD2W5tb7+y9Nn1W1ljaaSZXElokqocOQd+0ZXOeSB9cftTXPiWz/Zw+JU3g/wA7/hJU0G8NkbUEzBvKbJjxz5gXcVxzuArx/wD4JczeGZ/2NfBzeHjb/bPMujrPlkGY33nvvMx67ivl4z/BsxxigDhP2I9FHxw/ai+LX7T1hNb2nhnxFbr4f0fTBcxS3TRRLaq09wiM3kM32NCI2O794xIxtLfdtfnr+y7Zwwf8FPvj9/wgJjHw+XTI/wC1ls8fY/7Tb7OSFC8eZ5v2z6Hzh6Z/QqgAooooAK/OL9nzx1pH7Pf/AAUL/aF0f4m6zb+HLjxfcR6jompavIILa4g82SSONZmwv3JVUc4zCy/eGK/R2uR+Inw/8CeNtNWTx34b8O6/p9mC4fxFYwXMUGcZIMykL25oA/Pn/gpX8dPB3jTxZ8D4fAev2HinxFoPi+G4a40eZZ4bZy0ZSJrlcxq7MinZu3DZkgAV+mlfnTqukeHv2xv2wPh3ofw406zT4MfCGd9U1HV9GgSHTrrUWaORLeDYAj/NDCCV/h80jjaW/RagAr87P+CJn/Jv/jn/ALGdv/SSCv0Tr87P+CJn/Jv/AI5/7Gdv/SSCgD9E6KKKACvza/4I2f8ANdf+w5a/+3NfpLX5tf8ABGz/AJrr/wBhy1/9uaAP0O8XeFdM8deFtX8Oa1A91o+rWslleW8c8kJlhkUq6b42VlypIypB561U+Hnw98O/CnwXpXhLwnpkejeHtLi8mzsonZxGpYsfmclmJZmJZiSSSSSTXRV84Wf7dvgjxdc6pH8OvDPjX4s2+lt5d7feDtF821ifGdglnkhV2xyAhYkEEZFAH0fRXkX7Pv7UvgP9pax1d/CV1eW+qaNMLfVNE1e1NrfWLkkASRknurDIJGVI6jFeu0AFFFFABXhevfsQfBLxB4ivtck8EJpupX7FryTQ9SvNLS5JOSZY7WaNHyck7gckn1Ne6V498WP2q/Afwh8ZaZ4Mv5dT1zx1qkYmsfC/h/T5Ly+njO75wAAir8jcu68KT0BwAdt8N/hX4Q+D/huPQfBXh3T/AA1pKtvNtYQhA7Hq7t1dunzMSeBzXV187eG/24vBN98TtL+H/ivw/wCLfhh4p1YhdLtfGempax37E4VYZopZYySflGWGW+X7xAP0TQAUUUUAFcD8XvgN4B+PWm6Xp/j7w3b+JLPTLr7baQ3EkiCOXaVz8jLuBDHKtlTxkcDHfUUAY/hLwdoPgHQbXQ/DWjWOg6PajENjptukEKeuFUAZPc962K8V/ah/a48Cfsk+GdL1jxodQu31S5NtZ6bpEcct3NtXLyBJJEGxMruYtwXUd69qoAK/Oz/giZ/yb/45/wCxnb/0kgr9E6/Oz/giZ/yb/wCOf+xnb/0kgoA/ROiiigAr82v+CNn/ADXX/sOWv/tzX6S1+bX/AARs/wCa6/8AYctf/bmgD9Ja4b4W/CXwP+z14BHhzwdpVv4Y8MWbS3bRtcSSKpY7pJHlldmPTqzHAAHAAA7mvj/4matqv7aHxU1n4R+G76bTvhB4ZnWDx1rtoxSTVroEN/ZFvIDwo485hzjK5GQHAOE/YH0Cf4iftR/Hv46aRaNZfD/xBePpmjTsjIupskwMtygPVcxZJ/vSsOCrAffdcd4d1jwX4M1zS/hhokthpWo2ejm+s/D9mmzybCORId4UDCqHdF5OSSeuDXY0AFFFFABXmni7wv8ADD4ceNr74z+J30zw9rsWlros/iXVb9oYo7Qyh1iw7iJSXxghd7E7cnOK9Lrgrn4keAfFfxI1L4V3l7Zal4rs7CPVrnQby1Zx9mLALKC6eW+GK8KSRkZAoA+MPjFcaZ/wUO/aE+F+n/DK6jv/AAb8ONTfVNe8XsfLiZjJA32W1VsSSMfI5cDZllOTjn9DK/N7/goj8O9C+A/xF+C/xJ+FunWvhH4iXviVNNaHQ4VtxqcTYLCSJMCT5iqNx8wmw2flx+kNABRRRQAVi+NPGWj/AA98Jav4m8QXsenaLpNrJeXd1IeEjRSSfc8YAHJJAHJrarwr9rT9nLWv2mPCugeHbDxtD4T0mx1OPU7+zuNH/tGHVPKYNFDMvnxfuwwLFckMdvTaKAPz2/bo8K6v8SP2aL/9oLxpZzWet+KdcsbTwzpFx10bQQs7wpjtLOcTSH3QDHIr9fq/MT/gqJ4G+K3hv9mW2n8Y/E/R/FuiDXbSNdNsPCQ0x1k8uba/mi6l4ABG3bznqMV9yfBn4Y+P/BPiTxZrXjz4nv8AEGbWUs4rSzh0n+zLPTFgE27yoRPKN0hlBZuCfLXOQBgA9Xr87P8AgiZ/yb/45/7Gdv8A0kgr9E6/Oz/giZ/yb/45/wCxnb/0kgoA/ROiiigAr82v+CNn/Ndf+w5a/wDtzX6S1+bX/BGz/muv/Yctf/bmgD9Hr23a8s54EnltWljZBPDjzIyRjcuQRkdRkEcdDXw1D/wR8+FNt5ph+IHxOiMsjSybNatBvc9WOLTknua+7KKAPmf9mv8AYD8Bfsu/EPUvGnhvxB4s1vWtQ0x9KlbxDfQXCCFpYpCR5cEZ3ZhQZJIxnivpiiigAooooAK8K+LX7G/gX4s/Ee0+IbX3iLwl4+tYVt4vEnhjVXtblY1BAXaweMjDMD8nIODkcV7rRQB4V4N/Y98I+HfiHp/jrxDrvij4k+LdNRk03UvGmord/wBn56mCFI44o24HzBM5Gc55r3WiigAooooAKKKKAPC/2ov2R/D/AO1ppOmaP4t8V+KdL0KwlFyul6FPawwyzgMomkMlvI5YK7KBuCgH7uea9d8J6DP4Y8N6fpVzrWo+IprSIRNqmrGI3Vxjo0hijjQtjAyFGcZOTknXooAK/Oz/AIImf8m/+Of+xnb/ANJIK/ROvzs/4Imf8m/+Of8AsZ2/9JIKAP0TooooAK/Nr/gjZ/zXX/sOWv8A7c1+ktfm1/wRs/5rr/2HLX/25oA/SWvgS0/aY/a7+JXjj4lW/wAL/h/8PNZ8K+FfF2p+GIrrUmmhuGa2lwN4N6m5vLeMllUAknAHSvvuvh34N3Hxw+BeqfHCz0P4FXfjCPWPiPrXiO0vLrxJaaXDcWtx5fk+VvDs7ER55VVG4AnIYAA9U/Zj1T9pTXvGXiK++OOkeHfDmiLYQQ6Xpnh1o3ie48xzJKzebLJu2lFwX28DCg5J+jq8D/Zn/a80T9ojVvEvhm40DUvBHj/wzJs1fwxq+GlhG7bvjcYEibsAnAIyvGGUn3ygAooooAK434ufF3wr8DfAeo+MPGWqx6TolivzSNy8rn7sUaDl3Y8BR7ngAkdlX5uftmeOv+Fh/t+/Cv4b6hoOreLvDHhWz/t+bw3o8Iml1K/ZJHiVlZljCKEhy0jKqo0uThuQD6D+F/xr+P8A8atf0HX9H+F+g+B/hbdXEcskvjHUZf7ZvLFjzLDDCpWKQqdyrLkHGN2GDD6gr5B+In7dHjD4D6lpN78XPgZqng3wRqNytqPEdhr9tqv2aRgSFmhiQbDgE8OcgHbuIxX1za3UN9aw3NvKs9vMiyRyxnKupGQwPcEGgCWiiigArxH9sH4xeMPgl8H11vwBotj4g8X3ur2Okabp+oRvJFNLcTLGFKpJGSTnA+YDJBPFe3UUAfCknxO/b8hhaWX4WfCyGNV3O0l24CgDJJP9oY4r179hX44fEb9oj4P3Hjb4g6ZoGli61Ga30ldAhmjjnt4jseUmSWTcDKJFBUgYT3rO/b2+Imq6b8N9H+F/hOTb45+KN+PDWnkcm2tnwLy5IBB2pExBI6eYD2r3z4deBNK+F/gPw/4R0OHydJ0WyisbZTjJSNQu5sdWOMk9ySaAOir87P8AgiZ/yb/45/7Gdv8A0kgr9E6/Oz/giZ/yb/45/wCxnb/0kgoA/ROiiigAr82v+CNn/Ndf+w5a/wDtzX6S1+bX/BGz/muv/Yctf/bmgD9Ja+bP2W/27PAP7R3w3fxDfahpPgfXLSWWPUfD+o6vG0loqsdkm91jLoyYbdtAB3L1UmvpOuF8T/Af4Z+NtU/tPxF8O/Cevalu3/bNU0S2uZtxxk73QnPA79qAPjT9l+KP4z/8FIPjD8YfCMaz/Dy10mPQ01yFT5GpXgS1RvKbADgfZ5CWXIwIz/GDX6C1U0rSbHQtPgsNNsrfT7C3XZDa2sSxRRr6KqgAD6VboAKKKKACvgL41R2/7Pn/AAUt8F/FfxOBpvgLxZojaFN4gmO22s78RuqrM+MIGVIsFiBhmOcI2Pv2qOt6DpvibS59N1jTrXVdOuF2zWd9As0Mg9GRgQR9RQB8R/8ABTf4neGPiB+z7H8NPCWrWPi7x34s1Wxh0rRNFuY7u5fbMJDIVQkqmEK7jgZb0zj6++EvhO58A/CrwZ4YvJzdXei6LZabNOzbjI8MCRsxPfJUnPvUfgr4O+AfhrcTT+EfA/hvwtPMNskmi6Tb2bOPRjGi56d67CgAooooAKKKZLEk8TxSoskbgqyMMhgeCCO4oA+LP2b7wftRftgfEL42GT7X4M8FBvBvg9s5jklxm8uk7fNuwG7pOAfu19rVjeEvBfh7wDosej+GNC0zw5pETM8en6TZx2tujMcsRHGoUEnknHNbNABX52f8ETP+Tf8Axz/2M7f+kkFfonX52f8ABEz/AJN/8c/9jO3/AKSQUAfonRRRQAV+bX/BGz/muv8A2HLX/wBua/SWvza/4I2f811/7Dlr/wC3NAH6S0Vj+MvFFl4H8Ia54j1Fiun6PYz6hcsOoiijaRz+SmvjT9l/TfGX7bngG7+Kvjn4j+LfDOl6pqFzDofhjwTqz6TBp9vE5jzLLEBJPIWDcu2OM45AUA+46K+N/wBnH4teMvh7+1d43/Z28ceJLvxnZ2mnprnhfxBqmxr57UhN1vcOoHmMN5w5GT5bnOCoX7IoAKKKKACiivj/APaD/Zn+Mfx4/aInvdG+Lnin4VfDux8P2sMD+H9SkQXt8ZpzIPIinj2lVKZkccgoozg7QD7Aor8t/wBoP9mT4r/B+88BaFov7UvxO8ReLvGmuRaRpumyandxKsY+a5uXYXTERwphmwD94e9fp1oel/2Houn6cLq5vRZ28dv9pvJTLPNsULvkc8s5xkseSSTQBeooooAKKK+av+Cgn7S+rfss/s9z+J/D0EUniLUtQi0bTprhPMjt5ZI5ZDKynhtqQvgHjdtyCMigD6Vor5ch/Y98Uah4JjuL/wCPXxNX4hSW4mfV7XxA8enpdFMkLYoBCYA38G3JH8VVv+Ccv7RXiv8AaG+CuqTeN2huvE/hvWJdFutRgRUF6ERHWVlUABvnKnAAO0HAyRQB9WV+dn/BEz/k3/xz/wBjO3/pJBX6J1+dn/BEz/k3/wAc/wDYzt/6SQUAfonRRRQAV+Vv/BKX4veBPhjN8aovGPjXw74TlvNbt2to9c1WCyadVNwGKCV13AZGcdMiv1Sry2b9lX4KXEzyy/B7wDLLIxZ5H8MWRZmJySSYuTQB08s3hf43fDfUIdN1ex8R+FfEFlc2DX+k3cdxBPE4eGUJKhKnB3qcHggjqK+PP2Y/Bf7Rn7Hvhy8+GEPww034o+Era9nuNH8RWPiS20zy0kbcUmimBfBYlvlUlSzD5xg19seFvCeh+B9BtdE8N6Np/h/RbXd5GnaXapbW8O5i7bI0AVcszMcDksT1NeO/HL4+ePvBfiJ/CXw8+DXiTxz4intUnt9Yl8q10KMuSo8y6Z87kIJaPCnGMHDA0AfJvwfXxf40/wCCtes33ioabFrXh/wsW1C10B5JLO0V4IljgMrgGZgLlCW2pl84UBef0qr50/Y9/Zh1H4F6f4o8UeNNXi8SfFLxref2j4g1SEHyYzlilvDkA+WhducDORwAqgfRdABRRRQAUUV4X+2p408Z+Dv2e/EEfw98Oax4k8Za3t0XTotFs5LiS1acMrXL7AfLWNA5DthQ+wEjNAHl37Ptyf2lv2tviB8ZJWW68HeCQ/gvwe3WN5hhr+7T3YkIrj7ySY/hr7FrzX9m/wCDNj+z98D/AAh4DsQrHSbJVupl/wCW90+Xnl+jSs5A7Agdq9KoAKKKKACvmf8A4KKah8MrD9lvxCvxUjvptEuJoobGPSiq3rX/AMzQ+QW+UMNrklsjYHyD0P0xXy3/AMFFP2Zte/ac+A8Wl+E3j/4SrQ9Rj1jT7aWQRrdssciNDuPyqxEmVJwNygEgEkAHnOi+Ef21dI/ZjhsLbxF4LbxDHpe2C3urWc65FFswsX2nd5BuVXAyYiNw5c/eru/+CaHiL4ba3+zNY23w40i+0JNPvZINbsdUlEt5/aWxDLJLIFUSbl2YYKo2gLtXbtF/Tf2xvEreDVjvPgN8Tl+ICQeU+jp4fk+wyXe0D5b7PkiEt/GWyF52k8GP/gnx+zb4k/Z5+FOtS+NTbx+M/FerSa1qNnaOHis9ygJCCMqWHzElSRlsAkLkgHr/AIg/aP8AhL4T1q70fXPij4L0bVrR/LubDUPEFpBPC2M7XjeQMpwRwRXxj/wRM/5N/wDHP/Yzt/6SQV9neIP2cPhL4s1q71jXPhd4L1nVrt/Mub/UPD9pPPM2MbnkeMsxwByTXReCfhv4S+Genz2HhDwvovhSxuJfPmttE0+GzikkwF3ssSqC2ABk84AoA6OiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP/2e+KNQ8Ex3F/8eviavxCktxM+r2viB49PS6KZIWxQCEwBv4NuSP4qrf8E5f2ivFf7Q3wV1Sbxu0N14n8N6xLot1qMCKgvQiI6ysqgAN85U4AB2g4GSK4HRfCP7aukfsxw2Ft4i8Ft4hj0vbBb3VrOdcii2YWL7Tu8g3KrgZMRG4cufvV3f8AwTQ8RfDbW/2ZrG2+HGkX2hJp97JBrdjqkolvP7S2IZZJZAqiTcuzDBVG0Bdq7doAPq+vzs/4Imf8m/8Ajn/sZ2/9JIK+zvEH7R/wl8J61d6PrnxR8F6Nq1o/l3NhqHiC0gnhbGdrxvIGU4I4Ir4x/wCCJn/Jv/jn/sZ2/wDSSCgD9E6KKKACiiigAooooAKKKKACiiigAry2b9lX4KXEzyy/B7wDLLIxZ5H8MWRZmJySSYuTXqVFAGT4W8J6H4H0G10Tw3o2n+H9Ftd3kadpdqltbw7mLtsjQBVyzMxwOSxPU1478cvj54+8F+In8JfDz4NeJPHPiKe1Se31iXyrXQoy5KjzLpnzuQglo8KcYwcMDXvFFAHzp+x7+zDqPwL0/wAUeKPGmrxeJPil41vP7R8QapCD5MZyxS3hyAfLQu3OBnI4AVQPouiigAooooAK8L/bU8aeM/B37PfiCP4e+HNY8SeMtb26Lp0Wi2clxJatOGVrl9gPlrGgch2wofYCRmvdKKAPNf2b/gzY/s/fA/wh4DsQrHSbJVupl/5b3T5eeX6NKzkDsCB2r0qiigAooooAK+W/+Cin7M2vftOfAeLS/Cbx/wDCVaHqMesafbSyCNbtljkRodx+VWIkypOBuUAkAkj6kooA+X9N/bG8St4NWO8+A3xOX4gJB5T6Onh+T7DJd7QPlvs+SIS38ZbIXnaTwY/+CfH7NviT9nn4U61L41NvH4z8V6tJrWo2do4eKz3KAkIIypYfMSVJGWwCQuT9SUUAedeIP2cPhL4s1q71jXPhd4L1nVrt/Mub/UPD9pPPM2MbnkeMsxwByTXReCfhv4S+Genz2HhDwvovhSxuJfPmttE0+GzikkwF3ssSqC2ABk84Aro6KACiiigD/9k=)
Solution Stats
Solution Comments
Show commentsProblem Recent Solvers76
Suggested Problems
-
Basics: 'Find the eigenvalues of given matrix
423 Solvers
-
516 Solvers
-
Determine the number of odd integers in a vector
751 Solvers
-
1379 Solvers
-
1015 Solvers
More from this Author5
Problem Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!