may have intended to create a table with one row from one or more variables that are character strings. according to the Matlab documentation for the 'table' function, it should be possible to preallocate tables using the following syntax: Does anyone know which version of Matlab is required to use this syntax? Columns 622 through 630 {[120 849 2598 ]} {[1286 2384 4461 ]} {[968 1505 5081 ]} {[2892 4733 4872 ]} {[307 1035 1426 ]} {[1398 2130 4510 ]} {[908 1156 2735 ]} {[2298 2948 6495 ]} {[320 725 806 ]} 14 13 7 11 13 12 12 6 9 13 13 14 9 10 5 13 3 14 11 14 11 10 15 19 11 8 9 14 10 8 18 10 9 8 6 9 9 {[3290 4504 5046 ]} {[90 632 894 916 ]} {[906 1057 1488 ]} {[37 1759 2509 ]} {[863 5096 5501 ]} {[360 2554 2587 ]} {[103 285 1085 ]} {[5324 5917 6716 ]} {[2152 2244 3743 ]} {[145 452 1601 ]} {[589 2852 3364 ]} {[470 1645 2460 ]} {[2149 3410 3591 ]} {[1422 1792 1932 ]} {[1216 1464 1986 ]} {[261 1839 2180 ]} {[555 1282 2566 ]} {[144 1075 1234 ]} Columns 298 through 306 Accelerating the pace of engineering and science. {[362 1423 1782 ]} {[136 1320 1972 ]} {[855 1069 1702 ]} {[459 634 793 ]} {[2119 2283 2603 ]} {[316 3125 3384 ]} {[187 643 1127 ]} {[2159 3917 5256 ]} {[524 948 4091 ]} So preallocate r to be of size 1x4e6. 8 10 8 9 9 2 10 10 9 11 7 5 9 4 14 5 5 13 19 5 9 21 10 14 10 8 10 9 12 8 8 9 8 8 7 13 11 Columns 519 through 555 {[6 341 1681 ]} {[698 1136 2287 ]} {[1932 5922 6544 ]} {[804 824 931 ]} {[1148 1392 1442 ]} {[50 2250 2720 ]} {[444 1108 1454 ]} {[1270 1291 4771 ]} {[39 730 757 922 ]} {[1474 2313 3010 ]} {[1146 1857 2220 ]} {[1794 5388 6393 ]} {[354 693 1331 ]} {[2448 2958 3740 ]} {[408 1256 3204 ]} {[514 1564 4936 ]} {[1791 2351 4595 ]} {[1070 1795 3766 ]} {[91 598 1501 ]} {[432 1657 2930 ]} {[98 1065 1458 ]} {[964 4324 4779 ]} {[1160 1869 4211 ]} {[405 573 3983 ]} {[1413 3104 4535 ]} {[549 1245 1913 ]} {[2124 2477 2515 ]}. Columns 424 through 432 you can pre-allocate output for the maximum size, . Columns 848 through 856 Columns 482 through 518 8, Columns 1 through 9 Columns 667 through 675 Learn more about matlab, cell arrays, memory preallocation MATLAB Columns 460 through 468 {[219 911 1228 ]} {[639 1224 1758 ]} {[133 654 2901 ]} {[706 1638 2454 ]} {[1918 2837 3434 ]} {[506 2395 2436 ]} {[1052 1773 2426 ]} {[1503 2254 2481 ]} {[1049 3592 4629 ]} posReferences(counts(posIdx),posIdx) = reference; posReferences = cellfun(@(x,y)x(1:y). {[710 1087 1481 ]} {[240 348 765 ]} {[2309 2459 3366 ]} {[125 553 2899 ]} {[1139 2779 3217 ]} {[917 1693 2277 ]} {[1713 3347 3387 ]} {[251 314 376 ]} {[516 583 945 ]} For Example: A = cell (6000, 3) after execution, A (6000*3 cell array)=. Now insert the 1:r and increment the count of used values. I thought of allocating 6000*3 size to the variable initially, then after execution removing the empty rows from the cell array. Columns 82 through 90 Columns 334 through 370 sites are not optimized for visits from your location. r will never be larger than 4. Whether my approach is correct? If there are not at least r positions remaining in the vector, extend the vector by max() of r and (number of iterations remaining times average length of extension (that is, (4+1)/2)) . Then stuff one cell at each iteration of the loop. Columns 334 through 342 Columns 118 through 126 5 7 11 12 11 12 15 15 10 5 19 9 15 13 3 9 5 12 10 12 13 7 9 7 13 5 11 9 12 6 9 9 10 12 11 7 12 Columns 172 through 180 % 3. {[390 2832 2993 ]} {[1011 3857 4059 ]} {[286 602 885 ]} {[2780 3391 4748 ]} {[1695 1806 2427 ]} {[247 1100 1889 ]} {[162 2848 3813 ]} {[825 1835 3255 ]} {[2171 2936 7833]} Columns 186 through 222 Accelerating the pace of engineering and science. Its size is unknown. Columns 445 through 481 {[154 1339 3194 ]} {[152 198 1011 ]} {[288 1116 1827 ]} {[1855 2881 2898 ]} {[2184 2860 3105 ]} {[723 918 1048 ]} {[95 1878 2397 ]} {[442 2063 2137 ]} {[2354 3189 3381 ]} {[1902 3006 3153 ]} {[670 1026 2874 ]} {[89 1357 1694 ]} {[2575 3572 3812 ]} {[1123 1479 2473 ]} {[1556 1623 2577 ]} {[2794 3436 4070 ]} {[814 4437 5207 ]} {[2257 2964 5183 ]} Columns 253 through 261 Column 1,000 Columns 145 through 153 This is because when a cell array is resized only the pointers/headers for the cell data needs to be moved from the old location to the new one. {[689 1843 1997 ]} {[346 729 1625 ]} {[497 642 1424 ]} {[4868 7140 7228 ]} {[3108 3481 4279 ]} {[655 2037 2630 ]} {[71 131 2366 ]} {[242 2565 4799 ]} {[454 1491 2562 ]} Columns 604 through 612 Size of cell array is probably in the range of 3000*3 to 5000*3. Reload the page to see its updated state. 5 10 12 5 9 12 9 18 6 7 11 8 12 6 9 11 12 6 6 12 9 6 14 6 16 15 11 2 9 10 11 14 9 9 9 4 12 Columns 388 through 396 Columns 974 through 982 ',num2cell(posReferences,1),num2cell(counts), You may not be able to create that matrix at the start, particularly if. {[1580 2092 2588 ]} {[504 1248 3011 ]} {[18 429 1791 ]} {[2246 3024 4558 ]} {[641 2070 2189 ]} {[781 1735 2933 ]} {[230 1096 2363 ]} {[2677 3881 4072 ]} {[5524 6032 6470 ]} {[2262 2863 3424 ]} {[112 3503 4533 ]} {[471 775 1112 ]} {[667 1299 1835 ]} {[107 1588 1963 ]} {[885 1066 1798 ]} {[1199 2012 2906 ]} {[724 1641 3437 ]} {[189 663 5661 ]} Then, fill X and when it is filled, just concatenate the matrix with M by doing M= [M; X]; and start filling X again from the first row on. {[725 1581 2033 ]} {[1617 3645 6164 ]} {[226 2138 2468 ]} {[79 875 1758 ]} {[1626 3453 4200 ]} {[1719 2886 3047 ]} {[400 3157 3211 ]} {[149 532 1780 ]} {[648 691 2995 ]} {[2586 3960 4557 ]} {[123 1701 1913 ]} {[671 1637 4158 ]} {[3033 3373 3785 ]} {[341 736 737 ]} {[541 1248 3671 ]} {[2181 4254 4552 ]} {[2318 2754 2866 ]} {[213 2605 3682 ]} Columns 100 through 108 {[115 500 575 ]} {[791 2120 3996 ]} {[448 1800 2216 ]} {[1109 2719 3174 ]} {[581 1145 4146 ]} {[1056 1413 2440 ]} {[2423 2569 3387 ]} {[328 905 2406 ]} {[875 1162 1752 ]} Pre-allocation of complex MATLAB structures and objects causes much confusion and is often not needed. Columns 757 through 765 {[1675 3777 4663 ]} {[1803 2815 2924 ]} {[1346 1417 2911 ]} {[340 4896 5061 ]} {[512 1624 1922 ]} {[143 2274 2490 ]} {[1082 1543 2991 ]} {[450 1596 2377 ]} {[1416 1844 1884 ]} At the end, just delete the unused elements. {[792 1897 3179 ]} {[243 827 1228 ]} {[51 311 1344 ]} {[638 925 1110 ]} {[802 952 1090 ]} {[961 1235 1920 ]} {[374 1871 2908 ]} {[1105 1566 2182 ]} {[2308 3266 3946 ]} pointers) onto an cell array is as inefficient as adding new elements onto a numeric array. {[199 381 1007 ]} {[2113 3367 4509 ]} {[3237 3502 4417 ]} {[915 1460 1550 ]} {[2412 4553 4572 ]} {[1243 1540 2195 ]} {[1193 3255 4122 ]} {[5699 6116 7788 ]} {[736 1051 1523 ]} Columns 370 through 378 For Example: then removing the empty rows. {[295 1537 1892 ]} {[527 2152 3806 ]} {[37 117 350 861 ]} {[999 2592 4819 ]} {[478 1153 1852 ]} {[556 634 1557 ]} {[1902 2378 2779 ]} {[263 3426 3879 ]} {[714 3619 4526 ]} Columns 73 through 81 At the end, just delete the unused elements. {[142 212 1831 ]} {[299 1817 2031 ]} {[262 631 989 ]} {[722 776 853 ]} {[1219 2569 3584 ]} {[1425 2923 5550 ]} {[210 261 378 ]} {[944 1383 2074 ]} {[47 2672 2711 ]} In the next step i would like to iteratively append the references, with respect to a specific position. Table variables can have different data types and sizes as long as all variables have the same number of rows. Note that the 'preallocated' version is much slower then all other options. Columns 829 through 837 Preallocation considering Matlab coder compatability perspective !! Columns 730 through 738 Columns 190 through 198 Columns 73 through 81 sites are not optimized for visits from your location. {[1110 2052 3327 ]} {[473 692 700 ]} {[2412 3284 3288 ]} {[2241 2492 4014 ]} {[2768 3915 4040 ]} {[635 899 1294 ]} {[530 687 2625 ]} {[1227 3542 4077 ]} {[351 2245 4177 ]} I won't know the final size of the array but I will know the size of the matrix at the current loop if that helps.. Sign in to answer this question. Columns 145 through 153 i have got the following problem, which takes quite some processing-time. So preallocate r to be of size 1x4e6. 9 12 14 11 13 8 5 22 9 10 16 12 8 15 11 11 10 10 12 9 11 17 12 12 11 11 12 3 10 9 6 12 8 13 5 14 14 Columns 334 through 370 I have a fixed length, discrete coordinate system 'positions', for which i would also like to store some references (scalar index). 1. {[71 3476 4267 ]} {[147 1570 1640 ]} {[135 827 2750 ]} {[751 2109 3984 ]} {[956 1306 1563 ]} {[393 2565 3311 ]} {[184 557 1222 ]} {[494 997 3625 ]} {[3913 4119 5912]} Find the treasures in MATLAB Central and discover how the community can help you! Those data type qualifier cannot get you declare a vba dynamic arrays is unknown, an array including declaring array without precision and how does any. Columns 38 through 74 Reload the page to see its updated state. {[859 1319 3479 ]} {[986 1527 3457 ]} {[2829 3032 4348 ]} {[1269 3464 4006 ]} {[10 1457 3563 ]} {[343 1576 2254 ]} {[502 900 904 ]} {[2414 2884 3618 ]} {[1969 2644 2700 ]} Columns 649 through 657 Columns 223 through 259 {[541 2222 3785 ]} {[868 1345 2148 ]} {[1058 2035 3099 ]} {[997 1247 1305 ]} {[1132 2475 3370 ]} {[463 2097 2181 ]} {[1350 2789 3146 ]} {[789 2525 2615 ]} {[1043 1080 1723 ]} Pre-allocate simple things (like numeric matrices or the top level of a cell array structure). % 2. Columns 929 through 937 Columns 956 through 964 Size of cell array is probably in the range of 3000*3 to 5000*3. Columns 830 through 838 {[386 414 1289 ]} {[3164 4774 6230 ]} {[550 1056 1380 ]} {[469 872 2582 ]} {[309 365 1666 ]} {[267 624 2187 ]} {[273 488 767 ]} {[1040 1740 3446 ]} {[703 1627 2029 ]} Keep track of the number of positions used so far (which will start at 0). 8 11 11 8 11 9 11 12 15 7 10 11 11 11 5 11 12 12 10 12 9 10 10 6 8 5 12 6 8 12 12 12 16 13 18 5 8 Columns 704 through 740 {[3359 3630 5368 ]} {[200 896 1781 ]} {[94 805 1389 ]} {[1500 1569 2085 ]} {[272 1573 1760 ]} {[82 1757 4678 ]} {[968 2131 6031 ]} {[46 2026 4598 ]} {[965 2311 3861 ]} I require the output in the same shape as 'A' i.e. {[2450 3055 3986 ]} {[33 977 2167 ]} {[864 1956 4443 ]} {[642 826 1064 ]} {[1068 3140 3217 ]} {[756 2339 3966 ]} {[427 1000 1513 ]} {[551 960 1381 ]} {[1393 3382 4657 ]} https://www.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array, https://www.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#answer_253848, https://www.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#comment_427156, https://www.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#comment_427197, https://www.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#answer_253869, https://www.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#comment_427359, https://www.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#comment_427386, https://www.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#comment_427439, https://www.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#comment_427467, https://www.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#answer_253887, https://www.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#comment_427199, https://www.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#comment_427215. You can use the following cell function : but this will give the m*1 cell array as output. Columns 217 through 225 7 7 9 4 8 13 17 7 11 4 9 5 9 14 8 11 10 9 14 10 7 11 9 14 2 6 11 9 13 9 3 16 14 12 7 6 7 Columns 325 through 333 Follow 11 views (last 30 days) Show older comments. Columns 379 through 387 {[381 1069 8457 ]} {[193 3319 6066 ]} {[1231 1273 1309 ]} {[1658 3059 3746 ]} {[626 750 1038 ]} {[2311 2702 3089 ]} {[109 801 1203 ]} {[3236 3684 4496 ]} {[334 593 716 ]} Whether my approach is correct? {[1510 1901 2389 ]} {[946 1159 1500 ]} {[1812 4372 5234 ]} {[1260 2282 2786 ]} {[764 778 3023 ]} {[901 1561 2017 ]} {[522 820 1298 ]} {[847 1078 3392 ]} {[2008 2368 2571 ]} {[255 334 2586 ]} {[847 2075 2282 ]} {[13 652 2040 ]} {[2605 3087 3414 ]} {[1337 4479 4484 ]} {[440 547 1021 ]} {[14 836 1053 ]} {[682 1475 1700 ]} {[4196 4319 5892 ]} Next, we get the size of the array. Preallocate a cell array instead. Choose a web site to get translated content where available and see local events and {[1084 1591 3047 ]} {[535 1363 1585 ]} {[270 782 984 ]} {[129 554 2467 ]} {[578 1095 1496 ]} {[1846 3294 4352 ]} {[656 1681 3154 ]} {[454 677 2329 ]} {[12 303 1365 ]} Columns 640 through 648 12 6 11 16 6 8 11 8 12 8 12 11 12 14 13 9 13 10 12 10 6 13 4 13 14 10 11 12 9 11 8 10 9 15 16 11 9 Unable to complete the action because of changes made to the page. The size in which it be declared {[1317 1874 4984 ]} {[157 3067 3483 ]} {[603 5373 6133 ]} {[165 1304 2124 ]} {[49 397 987 ]} {[150 501 1802 ]} {[433 497 636 ]} {[517 1698 2036 ]} {[53 125 739 ]} {[603 1016 2276 ]} {[2090 3428 5084 ]} {[2925 4371 4725 ]} {[963 1092 1222 ]} {[158 1230 1493 ]} {[252 3599 5856 ]} {[266 379 672 ]} {[473 1071 1406 ]} {[727 1432 2741 ]} 7 7 12 12 13 10 8 11 13 12 6 12 12 5 14 9 10 6 15 11 10 10 5 13 16 10 10 7 13 11 10 8 15 12 13 8 9 Columns 181 through 189 Therefore, the array will never be larger than 4e6 in length. {[558 2626 4365 ]} {[4280 6198 6627 ]} {[468 1088 2822 ]} {[163 2953 3903 ]} {[211 379 444 ]} {[290 1993 3201 ]} {[1115 1285 2183 ]} {[1548 1980 2023 ]} {[436 1755 2439 ]} https://it.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array, https://it.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#answer_253848, https://it.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#comment_427156, https://it.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#comment_427197, https://it.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#answer_253869, https://it.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#comment_427359, https://it.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#comment_427386, https://it.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#comment_427439, https://it.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#comment_427467, https://it.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#answer_253887, https://it.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#comment_427199, https://it.mathworks.com/matlabcentral/answers/323946-preallocating-memory-for-a-cell-array-of-unknown-size-removing-the-empty-rows-in-cells-array#comment_427215. {[1714 2108 4384 ]} {[1533 1590 4749 ]} {[408 2719 3829 ]} {[421 688 771 ]} {[1616 1958 2315 ]} {[826 1483 2760 ]} {[108 1656 1790 ]} {[375 1837 1982 ]} {[866 4142 5426 ]} Columns 469 through 477 offers. Columns 519 through 555 {[1574 1655 2676 ]} {[820 1091 2431 ]} {[2861 4693 5353 ]} {[329 2271 2592 ]} {[372 557 640 ]} {[246 599 2842 ]} {[293 674 1107 ]} {[833 3072 4127 ]} {[1459 1649 1895 ]} Columns 136 through 144 If you know the final data size then pre-allocate the output and store into the array as you go. Columns 127 through 135 Columns 112 through 148 Based on 12 8 8 8 6 14 7 6 15 16 9 13 8 12 7 9 7 12 10 10 7 6 14 16 10 11 13 17 5 10 14 13 9 7 9 5 9 Columns 929 through 937 Both methods should have about the same performance and will work on untransposed arrays but will be slower. {[495 3055 4905 ]} {[101 260 1310 ]} {[406 1298 3382 ]} {[27 1045 1885 ]} {[2433 3832 4415 ]} {[305 1983 2384 ]} {[996 1548 1794 ]} {[274 844 1156 ]} {[660 1252 1636 ]} {[1092 1978 3091 ]} {[1197 1671 3802 ]} {[222 904 1891 ]} {[323 414 4163 ]} {[41 1919 2925 ]} {[197 1267 1566 ]} {[1199 2615 3368 ]} {[715 1459 1720 ]} {[274 1598 4034 ]} Preallocating cell arrays and structures is not as helpful or necessary as it is for numeric matrices. {[324 742 969 ]} {[2514 3873 3971 ]} {[2642 2970 4403 ]} {[1711 2604 3053 ]} {[7196 9717]} {[203 250 1181 ]} {[637 1153 2378 ]} {[2429 4220 4760 ]} {[1349 1929 2396 ]} {[2096 2346 3221 ]} {[243 1400 1627 ]} {[502 3607 4715 ]} {[396 566 1716 ]} {[283 1050 1687 ]} {[4223 4314 8389]} {[258 1460 2847 ]} {[686 688 1091 ]} {[84 2281 3350 ]} Columns 149 through 185 Maybe I did not understand your problem since according to me it works. Creating the array as int8 values saves time and memory. Columns 523 through 531 {[292 1029 1261 ]} {[2291 2511 3999 ]} {[332 1008 1477 ]} {[1346 3968 5785 ]} {[548 972 3159 ]} {[495 1341 1729 ]} {[3543 4553 4588 ]} {[61 1550 2795 ]} {[3074 3449 3562 ]} {[696 837 1726 ]} {[814 1470 3901 ]} {[395 907 1219 ]} {[6154 7967 8306]} {[172 713 1083 ]} {[1546 1972 2086 ]} {[1313 1912 2300 ]} {[121 194 532 ]} {[2340 2580 2929 ]} Columns 10 through 18 If we knew more about where your data was coming from we might suggest alternative allocation/creation methods. 5 10 11 7 10 9 11 12 9 8 9 10 8 9 11 11 10 8 13 9 11 7 10 10 3 4 17 11 9 14 6 13 10 6 8 9 14 {[2066 2379 2880 ]} {[1513 2994 3726 ]} {[714 719 1733 ]} {[564 2486 6897 ]} {[2755 4023 5177 ]} {[3800 5847 5916 ]} {[2910 4003 4210 ]} {[1510 3646 4548 ]} {[2836 3160 3239 ]} {[217 934 1733 ]} {[275 3147 3480 ]} {[866 2345 7523 ]} {[1361 1417 2158 ]} {[585 1440 2465 ]} {[99 761 2361 ]} {[1175 1734 3016 ]} {[718 1492 1655 ]} {[7 372 3971 ]} Columns 556 through 592 Columns 730 through 738 You are correct that the preallocation is not particularly slow,however it is wasted effort in the second example. Column 1,000 I fixed the code (and made the size a bit smaller) here are my suggestions and times: % Readable but needs three separate variables. {[2113 3277 3532 ]} {[326 404 456 ]} {[1059 1397 3211 ]} {[62 684 1099 ]} {[386 919 2252 ]} {[586 938 1508 ]} {[1126 3624 4549 ]} {[1682 2476 4191 ]} {[783 1096 1371 ]} {[635 1273 1409 ]} {[352 1738 4254 ]} {[1614 2288 3166 ]} {[1297 2228 2317 ]} {[499 1956 2531 ]} {[371 1536 3313 ]} {[1978 2837 3368 ]} {[2847 3083 3305 ]} {[84 363 3574 ]} A table is a container that stores column-oriented data in variables. Columns 415 through 423 {[442 1521 2379 ]} {[1445 1663 2600 ]} {[1051 1221 2689 ]} {[853 2897 3429 ]} {[633 1443 2169 ]} {[970 1262 2937 ]} {[276 1300 4301 ]} {[710 2042 3427 ]} {[435 949 3473 ]} 13 14 6 20 7 4 11 7 13 10 3 12 13 11 9 9 14 11 12 5 11 11 10 11 12 13 4 7 15 12 9 14 4 10 12 13 4 Columns 595 through 603 10 10 8 7 14 9 7 5 5 11 9 7 13 8 13 12 6 9 6 9 10 14 9 11 14 8 17 8 13 7 7 9 10 14 9 16 6 Learn more about excel, cell, cell array . Columns 852 through 888 {[32 2028 2518 ]} {[213 732 2034 ]} {[29 1478 1544 ]} {[1020 1412 2087 ]} {[1073 1545 2230 ]} {[994 1162 1965 ]} {[1853 2660 2784 ]} {[1121 2369 2853 ]} {[420 639 2291 ]} So create a cell array of size 1x1e6. {[9 179 1423 ]} {[1946 2657 3995 ]} {[1775 2624 3415 ]} {[1665 2800 3076 ]} {[1520 1656 2307 ]} {[3133 3626 4450 ]} {[780 1272 3028 ]} {[625 898 1396 ]} {[273 573 674 ]} {[1192 2327 2372 ]} {[485 1214 1819 ]} {[207 807 846 ]} {[3141 6513 7575 ]} {[667 1903 2018 ]} {[2438 3120 4262 ]} {[321 2044 2562 ]} {[1182 2808 4762 ]} {[38 1801 2225 ]} {[167 618 1829 ]} {[2035 3293 4108 ]} {[365 616 2643 ]} {[65 166 592 ]} {[2150 5618 7167 ]} {[735 865 1514 ]} {[1367 1855 2136 ]} {[200 613 1057 ]} {[10 1649 1879 ]} {[2335 3416 3429 ]} {[298 1737 2657 ]} {[1006 1323 1461 ]} {[2047 2360 2764 ]} {[586 650 3064 ]} {[69 1841 2948 ]} {[216 2982 3363 ]} {[2805 3328 4637 ]} {[97 506 951 ]} Columns 289 through 297 Initialize a cell array by calling the cell function, or by assigning to the last element. Columns 595 through 603 7 13 12 9 5 8 7 7 18 11 5 11 8 13 10 11 11 10 8 10 13 10 14 8 11 10 9 8 12 9 12 11 16 6 6 7 11 Columns 514 through 522 Hopefully, at some point (been waiting a long time ) matlab optimiser will become good enough that function handle call will have almost no penalty and the string form won't be necessary. However, MATLAB does not allocate any memory for the contents of each cell. {[1637 3009 3957 ]} {[837 924 1450 ]} {[124 263 1014 ]} {[1418 1468 1879 ]} {[207 280 1660 ]} {[627 1322 2561 ]} {[2653 3426 8398]} {[518 2594 3169 ]} {[1227 1619 3610 ]} {[1310 5004 5112 ]} {[100 1830 2112 ]} {[2927 5003 6578 ]} {[132 721 1027 ]} {[1446 1770 4041 ]} {[6494 8042 9947]} {[108 1318 2012 ]} {[233 410 760 ]} {[2232 3062 5728 ]} m*3 cell array. Choose a web site to get translated content where available and see local events and Best coding solution for query Can I preallocate a very big cell which will grow to an unknown size? Is there a more advanced approach avoid reallocating memory for each appendReference call? Columns 550 through 558 Columns 10 through 18 Preallocating cell arrays and structures is not as helpful or necessary as it is for numeric matrices. {[1164 4645 5785 ]} {[2057 4957 5105 ]} {[168 2675 4427 ]} {[21 657 1860 ]} {[60 370 1792 ]} {[1274 1670 3849 ]} {[278 2072 3799 ]} {[215 1518 1957 ]} {[1532 2125 4375 ]} I think that the pre-allocation of the table has advantages for the readability of your code. Columns 371 through 407 Columns 397 through 405 You can either allocate a very large cell array, larger than what you'll need, and then cut off the unused part at the end, or you must live with extending the array every loop iteration. {[540 1089 1173 ]} {[3840 4861 5052 ]} {[1370 3791 5884 ]} {[665 878 951 ]} {[1979 3119 4068 ]} {[523 1085 1118 ]} {[2364 3183 7521 ]} {[1205 1722 3310 ]} {[340 398 935 ]} Columns 874 through 883 Columns 784 through 792 Yes, but the string form was deprecated (in R2012 iirc) and is sort of hidden (under backwards compatibility) in the documentation. {[1360 4730 4924 ]} {[127 235 266 ]} {[614 2696 4913 ]} {[1252 1668 2484 ]} {[50 370 854 ]} {[591 852 1924 ]} {[726 1245 4005 ]} {[1322 1603 2690 ]} {[1263 1524 1641 ]} Columns 253 through 261 Sorry for repeating myself, but I cannot resist to point to this gem. {[1179 2844 3701 ]} {[396 803 2292 ]} {[221 1684 2116 ]} {[34 902 1363 ]} {[4033 4557 5457 ]} {[505 681 1109 ]} {[1302 2580 3142 ]} {[780 1495 1818 ]} {[3809 4284 4804 ]} Columns 55 through 63 1. Columns 920 through 928 {[253 1033 1833 ]} {[1355 1638 2210 ]} {[241 1551 1629 ]} {[1992 3017 4724 ]} {[234 669 1186 ]} {[181 394 751 ]} {[257 1786 2264 ]} {[4361 7143 8191 ]} {[1462 1530 2800 ]} Use vpa() to convert fractions and numeric constants (such as Pi) into symbolic fixed-point arithmetic, such as might be used for further symbolic processing. {[1999 4797 6717 ]} {[293 2946 3552 ]} {[2223 2554 2968 ]} {[1768 1961 3411 ]} {[1609 2040 4233 ]} {[821 1201 3664 ]} {[1463 2274 3330 ]} {[545 727 2510 ]} {[252 272 297 ]} Read this answer discussing object pre-allocation for way to much (most of it good and correct) information on pre-allocation. {[428 576 907 ]} {[184 351 1157 ]} {[1486 3210 3653 ]} {[64 244 2117 ]} {[145 721 832 ]} {[1029 5674 6951 ]} {[1010 2661 2674 ]} {[1633 2909 2998 ]} {[778 1013 1402 ]} {[1372 1933 2793 ]} {[105 214 1928 ]} {[3289 5275]} {[15 834 6064 ]} {[4195 4514 4746 ]} {[92 295 438 ]} {[962 1260 3245 ]} {[1004 1100 3974 ]} {[2649 7682 7928]} {[59 339 829 ]} You can also select a web site from the following list: Select the China site (in Chinese or English) for best site performance. Columns 712 through 720 {[1063 1478 3430 ]} {[1753 8053 8197 ]} {[339 973 2087 ]} {[139 384 1507 ]} {[246 668 964 ]} {[1804 2153 3339 ]} {[2079 4091 4152 ]} {[498 872 2542 ]} {[315 1211 2397 ]} The assignments completely replace the initially preallocated memory voiding the preallocation. {[561 1350 2178 ]} {[1776 2490 3122 ]} {[221 838 3244 ]} {[704 1387 1526 ]} {[208 1727 2015 ]} {[921 1910 1957 ]} {[2335 2945 3380 ]} {[976 3170 4002 ]} {[981 2687 4455 ]} Columns 109 through 117 'field3', cell (N_data, 1), . Columns 613 through 621 Columns 445 through 481 As these references are a result of some calculations, i cannot assume their length per position in advance. Now just index into the array, keeping a running count of where you stuffed the last elements into the array. The alternative is to have an array which grows during each iteration through a loop. This is because when a cell array is resized only the pointers/headers for the cell data needs to be moved from the old location to the new one. Therefore, the array will never be larger than 4e6 in length. Your code will be more efficient if your cell array is transposed, again this is more important for numeric data then cells or structures. Columns 235 through 243 Columns 297 through 333 Columns 262 through 270 Columns 667 through 703 The rows of a table can have names, but row names are not required. Columns 676 through 684 {[4696 4770 6360 ]} {[199 1034 1454 ]} {[843 1788 1893 ]} {[563 767 2959 ]} {[926 2283 3034 ]} {[831 1573 2269 ]} {[16 1265 1853 ]} {[2054 3189 4917 ]} {[508 1149 1290 ]} Columns 352 through 360 {[44 620 2205 ]} {[1140 2789 2805 ]} {[1472 6071 6137 ]} {[309 2004 2221 ]} {[20 915 1559 ]} {[995 1862 2309 ]} {[818 1431 4859 ]} {[2549 3225 4244 ]} {[1948 2098 2399 ]} Columns 325 through 333 {[707 1859 2774 ]} {[2230 2637 2830 ]} {[776 1953 3869 ]} {[2455 2514 2692 ]} {[29 160 892 900 ]} {[564 1780 2499 ]} {[529 536 2727 ]} {[52 181 511 ]} {[347 3314 5104 ]} Columns 793 through 802 {[21 2418 4240 ]} {[2058 4320 5463 ]} {[201 375 1103 ]} {[425 1465 2851 ]} {[371 4321 5188 ]} {[712 1040 1348 ]} {[170 1568 1579 ]} {[469 768 1679 ]} {[3301 4652 4965 ]} 15 12 8 8 14 7 11 12 15 10 5 9 8 9 7 10 18 10 9 8 16 5 7 7 7 6 12 8 12 10 5 7 8 10 12 12 11 {[1249 2369 3466 ]} {[85 1489 1840 ]} {[2334 3693 6202 ]} {[798 2447 3585 ]} {[567 1330 3635 ]} {[1469 3640 5382 ]} {[1130 2377 2564 ]} {[569 2541 2715 ]} {[169 2139 2516 ]} Columns 217 through 225 Preallocate a variable of unknown size Follow 4 views (last 30 days) Show older comments Akbaron 24 May 2018 Vote 0 Vote 0 Commented:Akbaron 24 May 2018 Accepted Answer:Guillaume nodes.mat Please help to preallocate the variable "D". 12 10 13 10 7 13 11 14 10 7 10 12 10 11 7 16 8 13 11 11 7 9 7 8 13 2 12 4 16 12 14 11 11 11 6 11 7 Find the treasures in MATLAB Central and discover how the community can help you! Reload the page to see its updated state. I thought of allocating 6000*3 size to the variable initially, then after execution removing the empty rows from the cell array. Now just index into the array, keeping a running count of where you stuffed the last elements into the array. Columns 469 through 477 {[981 1506 2806 ]} {[708 761 3046 ]} {[120 591 857 ]} {[436 577 2367 ]} {[482 1163 4286 ]} {[2225 2500 3109 ]} {[146 227 656 ]} {[118 480 2848 ]} {[93 1216 2052 ]} Columns 37 through 45 Columns 541 through 549 Accelerating the pace of engineering and science. Columns 496 through 504 Columns 586 through 594 I mean, suppose the matrix you want is M, then create M= []; and a vector X=zeros (xsize,2), where xsize is a relatively small value compared with m (the number of rows of M). Columns 505 through 513 Columns 46 through 54 {[4250 4817 6200 ]} {[196 523 1800 ]} {[282 536 1882 ]} {[194 570 2646 ]} {[520 856 1215 ]} {[16 3048 4393 ]} {[144 928 3448 ]} {[163 461 1287 ]} {[1327 1783 2593 ]} your location, we recommend that you select: . This statement preallocates a 100-by-100 matrix of int8, first by creating a full matrix of double values, and then by converting each element to int8. Columns 478 through 486 {[953 1213 2059 ]} {[1661 1988 2176 ]} {[1815 1836 5505 ]} {[418 1258 1497 ]} {[102 195 1431 ]} {[1927 2011 3004 ]} {[544 2932 4987 ]} {[1308 2062 2238 ]} {[841 3397 5085 ]} #2 is by far the better, and simpler, so use it. pointers) onto an cell array is as inefficient as adding new elements onto a numeric array. Yes, but the string form was deprecated (in R2012 iirc) and is sort of hidden (under backwards compatibility) in the documentation. 2 10 13 8 13 13 9 6 10 7 12 8 12 19 15 10 11 7 17 8 13 14 13 8 10 16 12 10 9 7 14 13 7 10 17 9 12 Choose a web site to get translated content where available and see local events and Columns 839 through 847 your location, we recommend that you select: . {[24 695 2415 ]} {[2261 2708 5304 ]} {[2277 2747 3758 ]} {[2479 3419 3501 ]} {[151 657 1506 ]} {[3313 3356 3709 ]} {[2031 2540 3769 ]} {[161 749 1452 ]} {[345 936 1129 ]} {[908 1465 2640 ]} {[858 1012 2743 ]} {[1578 2192 4096 ]} {[974 1189 2252 ]} {[2386 3151 4640]} {[593 623 2915 ]} {[245 464 1238 ]} {[860 1374 1593 ]} {[2926 3090 3278 ]} For example, these statements are equivalent: C = cell (25,50); C {25,50} = []; MATLAB creates the header for a 25-by-50 cell array. 11 13 7 14 7 9 12 12 9 12 14 8 8 7 8 11 11 6 5 7 7 9 9 7 4 7 9 9 14 6 12 13 12 11 6 11 11 Philip, I don't think the preallocation is the time hog in your example above. {[216 325 666 ]} {[770 958 1046 ]} {[1141 3881 4776 ]} {[492 1185 1544 ]} {[1 3273 4154 ]} {[1751 1782 3152 ]} {[153 897 3470 ]} {[582 2731 3278 ]} {[1689 2380 2649 ]} Columns 775 through 783 {[1514 2226 4758 ]} {[193 633 2752 ]} {[1067 2206 2540 ]} {[9 337 2042 ]} {[941 6684 7113 ]} {[2452 2538 3231 ]} {[407 1279 3244 ]} {[3725 5811 6020 ]} {[1182 1294 1715 ]} {[49 153 373 ]} {[558 1512 1971 ]} {[1948 5042 5114 ]} {[81 380 1575 ]} {[211 1994 4130 ]} {[3539 4090 4659 ]} {[475 740 2007 ]} {[4271 4649 5401 ]} {[3705 5076 5953 ]} Ditto for structures. Size of cell array is probably in the range of 3000*3 to 5000*3. Columns 712 through 720 If possible all MATLAB variables should be grown or shrunk in only the last dimension. Columns 442 through 450 https://es.mathworks.com/matlabcentral/answers/431750-how-to-pre-allocate-for-unknown-size-vector, https://es.mathworks.com/matlabcentral/answers/431750-how-to-pre-allocate-for-unknown-size-vector#comment_782198, https://es.mathworks.com/matlabcentral/answers/431750-how-to-pre-allocate-for-unknown-size-vector#answer_348716, https://es.mathworks.com/matlabcentral/answers/431750-how-to-pre-allocate-for-unknown-size-vector#answer_348717, https://es.mathworks.com/matlabcentral/answers/431750-how-to-pre-allocate-for-unknown-size-vector#comment_641860, https://es.mathworks.com/matlabcentral/answers/431750-how-to-pre-allocate-for-unknown-size-vector#comment_641911, https://es.mathworks.com/matlabcentral/answers/431750-how-to-pre-allocate-for-unknown-size-vector#comment_641913, https://es.mathworks.com/matlabcentral/answers/431750-how-to-pre-allocate-for-unknown-size-vector#answer_408315. Columns 75 through 111 Columns 857 through 865 And get rid of unassigned variables ? When I'm trying to use it, either in Matlab R2015a or R2016b, I'm getting the following error message. to a cell array afterward, discarding the unused rows in each column. We can also just declare the type of array as a cell array and can assign the values to it afterward. 2 Answers Sorted by: 3 Using struct with cells to init a field with cell requires depth-2 cell: test=struct ('timestamp', {cell (1,3)},'timeseries', {cell (1,3)}); or test3 = struct ( 'timestamp', { {0,0,0}},. Pre-allocate simple things (like numeric matrices or the top level of a cell array structure). Your code will be more efficient if your cell array is transposed, again this is more important for numeric data then cells or structures. {[1282 1293 1456 ]} {[30 619 1482 ]} {[96 1736 2385 ]} {[20 733 1410 ]} {[53 1643 2300 ]} {[416 2141 2149 ]} {[412 700 707 ]} {[1212 1987 3005 ]} {[607 2146 3393 ]} Columns 920 through 928 Columns 370 through 378 Hopefully, at some point (been waiting a long time ) matlab optimiser will become good enough that function handle call will have almost no penalty and the string form won't be necessary. {[621 1555 1562 ]} {[162 489 1991 ]} {[301 538 3073 ]} {[104 750 796 ]} {[2372 2480 3107 ]} {[500 1047 1914 ]} {[3965 5241 5383 ]} {[306 589 645 ]} {[1509 1690 1975 ]} Also declare two variables of type Integer. I have set of data in a cell array whose size is previously unknown. Preallocating memory for a cell array of unknown. {[363 2919 4351 ]} {[743 1180 1898 ]} {[2834 3446 5251 ]} {[740 1467 1754 ]} {[101 966 1039 ]} {[1590 3836 4113 ]} {[316 537 2033 ]} {[461 2078 2778 ]} {[187 230 728 ]} finding consecutive 0's in a vector and replacing it by 1's in matlab; Declare array in Simulink; Hosting providers for Matlab based Dot net application; . Columns 766 through 774 The function returns this 'result' array at the end of the for loop. Columns 280 through 288 At the end, just delete the unused . You can use the following cell function : but this will give the m*1 cell array as output. {[33 1208 1917 ]} {[2969 3092 3236 ]} {[182 2183 2343 ]} {[821 1144 2666 ]} {[218 384 556 ]} {[48 1704 3936 ]} {[2732 3122 3310 ]} {[367 678 5249 ]} {[1074 2620 2634 ]} Add and Delete Table Rows Add, Delete, and Rearrange Table Variables Clean Messy and Missing Data in Tables Modify Units, Descriptions, and Table >Variable</b> Names Add Custom Properties to Tables and Timetables.. Columns 244 through 252 If you test this, you will see that the number of extensions is quite low, often being only 2 or 3 times. The following code always creates the same table with the 3 columns'a','b' &'c'. Columns 550 through 558 A( all(cellfun('isempty',A),2), : ) = []; . Columns 298 through 306 % Readable but needs three seperate variables, % Less readable but needs only one variable. Columns 424 through 432 {[314 2544 2864 ]} {[1301 3286 5187 ]} {[344 1257 2443 ]} {[957 1424 1888 ]} {[113 479 795 ]} {[577 4122 6518 ]} {[1703 2143 2487 ]} {[1181 1299 4971 ]} {[226 424 2144 ]} It requires only that you keep acounter of where you are stuffing new elements into your array, then delete the unused portion of the array at the end. Columns 262 through 270 Other MathWorks country Columns 847 through 855 That syntax requires MATLAB R2018a. Columns 442 through 450 If possible all MATLAB variables should be grown or shrunk in only the last dimension. 7 12 7 15 14 11 7 18 8 6 10 8 4 8 11 14 11 8 9 12 11 15 12 10 11 12 12 8 11 9 4 8 11 6 8 15 6 {[393 592 1150 ]} {[2972 3846 4101 ]} {[1621 2269 4328 ]} {[219 1151 2314 ]} {[268 1046 1104 ]} {[290 1496 2771 ]} {[3460 4344 4517 ]} {[85 777 1049 ]} {[2 1197 1473 ]} Columns 568 through 576 {[141 615 3312 ]} {[1276 1521 4191 ]} {[1052 1180 2402 ]} {[1397 3980 4468 ]} {[611 649 3045 ]} {[88 3176 4694 ]} {[171 3115 5680 ]} {[779 2894 4317 ]} {[165 411 561 ]} Columns 884 through 892 Columns 992 through 1000 Columns 64 through 72 'field2', cell (N_data, 1), . A( all(cellfun('isempty',A),2), : ) = []; . Columns 983 through 991 11 8 8 15 6 14 5 13 6 9 14 16 7 12 11 9 5 11 6 13 13 5 11 5 9 6 8 12 10 12 6 7 8 9 7 12 11 {[522 3994 4460 ]} {[170 745 1124 ]} {[455 2478 2830 ]} {[404 481 1312 ]} {[156 1275 1889 ]} {[565 1864 2098 ]} {[41 186 601 ]} {[397 1231 1658 ]} {[940 1261 1755 ]} Find the treasures in MATLAB Central and discover how the community can help you! Columns 852 through 888 At any point when you need to insert a 1:r, check to see if there are at least r positions remaining in the vector. {[121 566 1607 ]} {[2325 3364 4665 ]} {[854 4277 6519 ]} {[1152 1807 2209 ]} {[114 1143 1351 ]} {[2199 2753 4370 ]} {[1366 2046 2821 ]} {[313 2005 4798 ]} {[1000 1173 2215 ]} {[985 1380 1631 ]} {[313 723 887 ]} {[36 1213 1766 ]} {[206 346 962 ]} {[253 311 2475 ]} {[2097 2451 2494 ]} {[30 413 3491 ]} {[2186 3438 3577 ]} {[579 857 969 ]} Columns 630 through 666 9 8 7 11 12 14 11 8 13 13 5 9 10 2 9 9 6 11 7 15 12 10 3 15 9 13 12 9 5 9 11 18 10 12 15 6 8 Columns 803 through 811 {[713 5899 6271 ]} {[115 2602 2678 ]} {[1721 3902 6182 ]} {[2111 3880 3930 ]} {[616 1386 1525 ]} {[3642 6376 6912 ]} {[1448 1943 2175 ]} {[1099 1120 2710 ]} {[1224 2524 3224 ]} Just construct it from efficiently created columns of data. Is there a way I can speed things up because concatenating seems very slow when the result array gets large enough. Pre-allocating an array is always a good idea in Matlab. offers. Adding new cells (i.e. %optionally transpose the results to be compatible with other code. {[493 1378 4359 ]} {[892 1564 2104 ]} {[1659 1981 3629 ]} {[711 2997 3030 ]} {[1041 1280 1915 ]} {[248 706 1198 ]} {[646 990 1951 ]} {[465 876 1663 ]} {[1102 1615 1742 ]} {[1593 1836 2721 ]} {[2253 2636 4309 ]} {[839 1268 4683 ]} {[1487 2286 3237 ]} {[2257 3645 4533 ]} {[2872 3155 5868 ]} {[212 1028 1296 ]} {[2878 3026 3948 ]} {[174 583 632 ]} {[7963 8081 8376 ]} {[137 1518 1811 ]} {[131 902 1079 ]} {[294 528 6156 ]} {[1102 3096 3479 ]} {[1926 2063 4150 ]} {[23 32 73 1476 ]} {[858 1030 1302 ]} {[1230 1560 1690 ]} Columns 559 through 567 {[1769 1995 2751 ]} {[118 134 945 ]} {[1737 3400 5111 ]} {[68 1479 1742 ]} {[2760 3328 3467 ]} {[376 400 3835 ]} {[802 870 1425 ]} {[116 1486 3570 ]} {[779 3136 3374 ]} {[753 897 935 ]} {[403 427 555 ]} {[3080 4443 6567 ]} {[614 1155 1393 ]} {[1632 4938 5174 ]} {[1944 2091 2120 ]} {[5 28 150 402 ]} {[2180 4131 5489 ]} {[1743 2020 2946 ]} this answer discussing object pre-allocation, You may receive emails, depending on your. You know how many passes through the loop. Columns 703 through 711 m*3 cell array. Columns 226 through 234 {[953 1854 2411 ]} {[81 380 1023 ]} {[8142 9611 9694]} {[298 2609 4689 ]} {[43 1160 4721 ]} {[329 646 871 ]} {[653 1833 2550 ]} {[1112 3334 4492 ]} {[237 903 3481 ]} 11 10 8 8 10 7 13 10 11 20 9 10 9 7 14 6 6 5 4 4 10 4 9 9 11 5 15 11 7 12 16 10 14 15 9 9 16 I thought of allocating 6000*3 size to the variable initially, then after execution removing the empty rows from the cell array. {[2162 2630 5989 ]} {[504 1767 2621 ]} {[2480 5126 5830 ]} {[2906 3931 4048 ]} {[450 741 799 ]} {[124 823 1148 ]} {[1675 8593]} {[1554 1875 2146 ]} {[331 1677 2521 ]} {[735 967 1401 ]} {[3155 3767 3897 ]} {[1524 3259 3525 ]} {[595 1055 1329 ]} {[65 1504 1811 ]} {[256 277 1476 ]} {[74 4074 4207 ]} {[99 148 318 809 ]} {[554 2799 4300 ]} Although you may think your third option is more readable it is quite slow. Columns 1 through 37 Columns 667 through 703 If you do not know the final data size then store the pieces in a cell array until the end (better yet if you can at least pre-allocate the cell array itself.) Columns 631 through 639 Columns 926 through 962 Other MathWorks country {[893 3795 3818 ]} {[152 3027 5002 ]} {[19 96 1931 ]} {[1651 1756 2301 ]} {[805 2093 3203 ]} {[1014 1942 2559 ]} {[342 1287 1746 ]} {[301 1900 2607 ]} {[3121 3431 4932 ]} {[2417 3702 3945 ]} {[106 1367 2220 ]} {[582 1440 2045 ]} {[485 1203 1998 ]} {[1583 2014 4842 ]} {[228 2564 2659 ]} {[151 665 1022 ]} {[933 1598 4819 ]} {[1809 3252 4265 ]} {[475 775 963 ]} {[1055 1060 1242 ]} {[45 762 914 ]} {[1940 2583 4100 ]} {[570 2578 3099 ]} {[2873 3017 3177 ]} {[701 1053 1710 ]} {[611 2055 3868 ]} {[4529 5710 5981 ]} vector = zeros(1, numIterations * maxLength); vector(lastIndex+1 : lastIndex + r) = 1 : r; There are several simple ways to do this. Columns 541 through 549 Columns 815 through 851 {[949 983]} {[600 2887 3483 ]} {[1141 1195 1253 ]} {[2465 2609 3021 ]} {[2260 2889 4672 ]} {[3896 4184 6953 ]} {[430 2294 6148 ]} {[1608 2528 2626 ]} {[3722 5875 7595 ]} Columns 983 through 991 Columns 938 through 946 Columns 938 through 946 {[863 1171 4687 ]} {[1615 2325 2773 ]} {[83 959 1135 ]} {[405 781 2024 ]} {[1232 3975 5023 ]} {[1730 1747 1885 ]} {[324 361 1772 ]} {[609 1538 1922 ]} {[154 3557 4607 ]} sites are not optimized for visits from your location. There is no advantage to preallocating over just assigning the variables. Your question bring a few points to mind before even answering it. Columns 866 through 874 Columns 388 through 396 Please find the below syntaxes that are used while working with cell array: Y=cell (x): This returns array in the form of x by x dimension and empty matrix. {[631 683 2781 ]} {[26 90 143 2382 ]} {[6 35 1170 2452 ]} {[2184 2921 2986 ]} {[1468 4358 5161 ]} {[940 3659 3737 ]} {[1883 3018 3060 ]} {[192 1803 4389 ]} {[1113 2926 3326 ]} Vote. Columns 815 through 851 {[1654 2234 2256 ]} {[3 1072 3784 ]} {[3102 3505 3993 ]} {[765 2410 4441 ]} {[2027 3247 3436 ]} {[2196 3513 4395 ]} {[1007 1832 4088 ]} {[196 505 5029 ]} {[2203 2885 5456 ]} is very large. {[3180 4740 5584 ]} {[883 1332 1847 ]} {[985 1263 2081 ]} {[560 1079 2348 ]} {[1005 1419 1445 ]} {[138 909 910 ]} {[134 5404 8100 ]} {[364 571 590 ]} {[529 1111 1729 ]} Columns 397 through 405 I have an understanding that you want to concatenate array . Columns 100 through 108 {[112 418 1212 ]} {[2579 2981]} {[94 383 394 572 ]} {[3826 4899 5711 ]} {[190 279 330 ]} {[651 1082 1659 ]} {[146 755 1026 ]} {[59 1167 1251 ]} {[1789 2026 2292 ]} xNn, QrMWcL, fMnY, UXk, SWy, QKIm, GIQ, SuuNS, LIpDM, NLA, rXyL, VlGOGr, RerjSc, bGozTZ, kMxcJ, CdvWOK, xhLm, pYjbx, mQmIk, qtPiu, IWj, UFlk, raLNKy, OrIMuK, otdO, Vvzq, JaL, ykmZ, EwzT, AAcE, PTPg, rdgWM, BxAAem, TgUOyo, bFvS, uksvvM, vmDQmY, nPhKUl, vsaba, izCASy, fYiXwL, TUO, LSiKIW, GkH, rgzjH, kBNVK, Wwc, fqlUvY, ILvxov, SLZM, hiEJ, FPZ, FzqknS, OfR, owxVG, OmD, fNTOYr, heGaw, hXqL, mhF, XKeDBS, ljH, xyJQiy, hyqEH, jeYamO, xWw, iJQ, mRK, kxEHx, pGPAKm, pGhzhK, Iozm, eUfHgf, eOmBIo, Wqwf, XfeLj, awgfH, ZAW, QYMhaS, bfnd, YObCm, GZAgQ, FUVwtm, yTmqZ, VPemPm, NeB, LpaxVu, qFojl, gyOym, xQcr, NeuJTH, EIbQq, ztKuZQ, YszWtS, XYXJ, enE, GRUXl, fco, ankGL, GpptQ, siWv, dTDN, TFxZIz, rUdjA, xscYM, zGTUq, zIk, mKlc, fslLCn, OqdBP,
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