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#X text 458 17 updated for;
#X obj 546 17 iemmatrix 0.2;
#X obj 595 43 matrix;
#X text 465 42 see also help for;
#X obj 12 189 t a a;
#X msg 12 124 bang;
#X msg 265 390 mode row;
#X msg 265 364 mode column;
#X msg 352 363 mode col;
#X msg 418 363 mode :;
#X obj 263 416 t a;
#X obj 12 166 mtx_ones 3 4;
#X obj 17 379 t a a;
#X msg 17 335 bang;
#X obj 17 360 mtx_ones 2 2;
#X obj 20 211 mtx_print original;
#X obj 12 285 mtx_print cumsum-row;
#X obj 46 400 mtx_print original;
#X obj 17 472 mtx_print cumsum;
#X obj 159 285 mtx_print cumsum-col;
#X text 410 444 see also:;
#X text 90 15 [mtx_diff];
#X obj 117 257 mtx_diff col;
#X obj 17 443 mtx_diff;
#X obj 410 466 mtx_cumsum;
#X obj 12 257 mtx_diff row;
#X text 47 34 first forward/backward difference;
#X text 18 63 you can calculate the differences between matrix elements
forwards/backwards \; this is useful for the numerical derivative of
vectors/matrices.;
#X obj 12 235 t a a a;
#X obj 307 284 mtx_print cumsum-row-reverse;
#X obj 265 256 mtx_diff col -1;
#X msg 425 385 direction -1;
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