Dati(1,1).t.ssglar.mod(p,n).Mnpc n=500 p=30 Sparsità: 68.75% fit rms cod 1 0.93674 0.050289 0.996 2 0.89233 0.085588 0.98841 3 0.86134 0.11022 0.98077 4 0.83933 0.12772 0.97419 5 0.82679 0.13768 0.97 6 0.81471 0.14729 0.96567 7 0.80883 0.15196 0.96345 8 0.80793 0.15268 0.96311 9 0.80638 0.15391 0.96251 10 0.80474 0.15521 0.96187 11 0.80063 0.15848 0.96025 12 0.79117 0.166 0.95639 13 0.78273 0.17271 0.95279 14 0.77659 0.17759 0.95009 15 0.77178 0.18141 0.94792 16 0.76719 0.18506 0.9458 17 0.76196 0.18921 0.94334 18 0.75748 0.19278 0.94118 19 0.75366 0.19582 0.93932 20 0.74979 0.19889 0.93739 21 0.74567 0.20217 0.93531 22 0.74068 0.20614 0.93275 23 0.73502 0.21063 0.92979 24 0.73024 0.21443 0.92723 25 0.72607 0.21775 0.92496 26 0.72205 0.22094 0.92274 27 0.7177 0.2244 0.92031 28 0.71284 0.22827 0.91754 29 0.70813 0.23201 0.91481 30 0.70339 0.23577 0.91202 Dati(1,2).t.ssglar.mod(p,n).Mnpc n=500 p=30 Sparsità: 25% fit rms cod 1 0.9281 0.08589 0.99483 2 0.91972 0.095903 0.99355 3 0.91438 0.10227 0.99267 4 0.9135 0.10333 0.99252 5 0.88675 0.13528 0.98718 6 0.87553 0.14869 0.98451 7 0.87008 0.1552 0.98312 8 0.86967 0.15569 0.98301 9 0.85438 0.17396 0.97879 10 0.84521 0.18491 0.97604 11 0.84058 0.19044 0.97459 12 0.84027 0.1908 0.97449 13 0.83213 0.20053 0.97182 14 0.82555 0.20839 0.96957 15 0.82152 0.2132 0.96815 16 0.82106 0.21376 0.96798 17 0.81639 0.21933 0.96629 18 0.81176 0.22487 0.96456 19 0.80859 0.22865 0.96336 20 0.80797 0.22939 0.96313 21 0.80529 0.23259 0.96209 22 0.80211 0.2364 0.96084 23 0.79969 0.23929 0.95988 24 0.79903 0.24007 0.95961 25 0.79761 0.24177 0.95904 26 0.79565 0.24411 0.95824 27 0.79397 0.24611 0.95755 28 0.79338 0.24682 0.95731 29 0.79259 0.24777 0.95698 30 0.79142 0.24916 0.9565 Dati(1,3).t.ssglar.mod(p,n).Mnpc n=500 p=30 Sparsità: 59.375% fit rms cod 1 0.93123 0.10576 0.99527 2 0.88134 0.18249 0.98592 3 0.84991 0.23081 0.97747 4 0.83837 0.24855 0.97388 5 0.83325 0.25644 0.97219 6 0.82982 0.2617 0.97104 7 0.82609 0.26744 0.96976 8 0.82372 0.27109 0.96893 9 0.82296 0.27225 0.96866 10 0.82325 0.27181 0.96876 11 0.82365 0.27119 0.9689 12 0.82389 0.27083 0.96898 13 0.82398 0.27069 0.96902 14 0.82408 0.27054 0.96905 15 0.82419 0.27036 0.96909 16 0.8243 0.2702 0.96913 17 0.82436 0.27011 0.96915 18 0.82438 0.27007 0.96916 19 0.82439 0.27006 0.96916 20 0.8244 0.27005 0.96916 21 0.8244 0.27004 0.96916 22 0.8244 0.27004 0.96917 23 0.8244 0.27004 0.96916 24 0.8244 0.27004 0.96916 25 0.8244 0.27005 0.96916 26 0.8244 0.27005 0.96916 27 0.8244 0.27005 0.96916 28 0.8244 0.27005 0.96916 29 0.8244 0.27005 0.96916 30 0.8244 0.27005 0.96916 Dati(1,4).t.ssglar.mod(p,n).Mnpc n=500 p=30 Sparsità: 46.875% fit rms cod 1 0.95698 0.061184 0.99815 2 0.9348 0.092728 0.99575 3 0.91982 0.11402 0.99357 4 0.91277 0.12405 0.99239 5 0.90577 0.134 0.99112 6 0.89903 0.14359 0.9898 7 0.89222 0.15328 0.98838 8 0.88584 0.16235 0.98697 9 0.8797 0.17108 0.98553 10 0.87371 0.1796 0.98405 11 0.86841 0.18714 0.98268 12 0.86389 0.19357 0.98147 13 0.86025 0.19874 0.98047 14 0.85703 0.20332 0.97956 15 0.8539 0.20777 0.97865 16 0.85084 0.21212 0.97775 17 0.84782 0.21641 0.97684 18 0.84522 0.22012 0.97604 19 0.84299 0.22329 0.97535 20 0.84105 0.22604 0.97474 21 0.8393 0.22854 0.97417 22 0.83763 0.23091 0.97364 23 0.83607 0.23312 0.97313 24 0.83462 0.2352 0.97265 25 0.83322 0.23718 0.97218 26 0.83188 0.23908 0.97174 27 0.83068 0.2408 0.97133 28 0.82954 0.24241 0.97094 29 0.82848 0.24392 0.97058 30 0.82744 0.2454 0.97022 Dati(1,5).t.ssglar.mod(p,n).Mnpc n=500 p=30 Sparsità: 34.375% fit rms cod 1 0.94627 0.067859 0.99711 2 0.93475 0.082403 0.99574 3 0.92752 0.091545 0.99475 4 0.91737 0.10436 0.99317 5 0.90923 0.11463 0.99176 6 0.90624 0.11842 0.99121 7 0.90346 0.12192 0.99068 8 0.90054 0.12561 0.99011 9 0.89914 0.12738 0.98983 10 0.89857 0.12811 0.98971 11 0.89795 0.12888 0.98959 12 0.89755 0.12939 0.9895 13 0.89745 0.12951 0.98948 14 0.89739 0.12959 0.98947 15 0.89731 0.12969 0.98946 16 0.8973 0.1297 0.98945 17 0.89732 0.12968 0.98946 18 0.89732 0.12968 0.98946 19 0.89732 0.12968 0.98946 20 0.89734 0.12966 0.98946 21 0.89735 0.12965 0.98946 22 0.89735 0.12964 0.98946 23 0.89736 0.12963 0.98946 24 0.89736 0.12963 0.98947 25 0.89737 0.12962 0.98947 26 0.89737 0.12962 0.98947 27 0.89737 0.12962 0.98947 28 0.89737 0.12962 0.98947 29 0.89737 0.12962 0.98947 30 0.89737 0.12962 0.98947 Dati(1,6).t.ssglar.mod(p,n).Mnpc n=500 p=30 Sparsità: 21.875% fit rms cod 1 0.91985 0.10557 0.99358 2 0.88021 0.15779 0.98565 3 0.85372 0.19268 0.9786 4 0.83942 0.21152 0.97421 5 0.82408 0.23172 0.96905 6 0.8109 0.24908 0.96424 7 0.80152 0.26144 0.9606 8 0.79646 0.2681 0.95857 9 0.79355 0.27194 0.95738 10 0.79181 0.27423 0.95666 11 0.79096 0.27535 0.9563 12 0.79094 0.27537 0.95629 13 0.79141 0.27475 0.95649 14 0.79205 0.27391 0.95676 15 0.79266 0.2731 0.95701 16 0.79323 0.27235 0.95725 17 0.79374 0.27168 0.95746 18 0.79417 0.27112 0.95763 19 0.79449 0.27069 0.95777 20 0.79473 0.27038 0.95786 21 0.79489 0.27017 0.95793 22 0.795 0.27002 0.95797 23 0.79506 0.26994 0.958 24 0.7951 0.26989 0.95802 25 0.79511 0.26987 0.95802 26 0.79511 0.26987 0.95802 27 0.79511 0.26988 0.95802 28 0.79509 0.2699 0.95801 29 0.79508 0.26991 0.95801 30 0.79507 0.26993 0.958 Dati(1,7).t.ssglar.mod(p,n).Mnpc n=500 p=30 Sparsità: 37.5% fit rms cod 1 0.9605 0.043711 0.99844 2 0.93336 0.073731 0.99556 3 0.91748 0.091302 0.99319 4 0.90917 0.1005 0.99175 5 0.90557 0.10449 0.99108 6 0.90433 0.10586 0.99085 7 0.90431 0.10588 0.99084 8 0.90478 0.10536 0.99093 9 0.90533 0.10475 0.99104 10 0.90577 0.10426 0.99112 11 0.90604 0.10397 0.99117 12 0.90614 0.10385 0.99119 13 0.90616 0.10383 0.99119 14 0.90614 0.10386 0.99119 15 0.90611 0.10389 0.99118 16 0.90608 0.10392 0.99118 17 0.90606 0.10394 0.99118 18 0.90605 0.10395 0.99117 19 0.90605 0.10395 0.99117 20 0.90605 0.10395 0.99117 21 0.90605 0.10395 0.99117 22 0.90605 0.10395 0.99117 23 0.90606 0.10395 0.99117 24 0.90606 0.10395 0.99117 25 0.90606 0.10395 0.99117 26 0.90606 0.10395 0.99117 27 0.90606 0.10395 0.99117 28 0.90606 0.10395 0.99117 29 0.90606 0.10395 0.99117 30 0.90606 0.10395 0.99117 Dati(1,8).t.ssglar.mod(p,n).Mnpc n=500 p=30 Sparsità: 40.625% fit rms cod 1 0.95282 0.064726 0.99777 2 0.94369 0.077249 0.99683 3 0.93766 0.085527 0.99611 4 0.93526 0.088815 0.99581 5 0.92067 0.10883 0.99371 6 0.91517 0.11637 0.9928 7 0.90978 0.12376 0.99186 8 0.90704 0.12752 0.99136 9 0.89725 0.14096 0.98944 10 0.8932 0.14651 0.98859 11 0.88906 0.15219 0.98769 12 0.88699 0.15504 0.98723 13 0.88172 0.16227 0.98601 14 0.87937 0.16548 0.98545 15 0.87655 0.16935 0.98476 16 0.87489 0.17162 0.98435 17 0.87146 0.17634 0.98348 18 0.86987 0.17851 0.98307 19 0.86812 0.18092 0.98261 20 0.86709 0.18233 0.98234 21 0.86524 0.18487 0.98184 22 0.86427 0.1862 0.98158 23 0.86312 0.18778 0.98126 24 0.86235 0.18883 0.98105 25 0.86108 0.19058 0.9807 26 0.8604 0.19151 0.98051 27 0.85963 0.19256 0.9803 28 0.85915 0.19323 0.98016 29 0.85838 0.19427 0.97995 30 0.85797 0.19485 0.97983 Dati(1,9).t.ssglar.mod(p,n).Mnpc n=500 p=30 Sparsità: 71.875% fit rms cod 1 0.88459 0.55386 0.98668 2 0.78408 1.0363 0.95338 3 0.70166 1.4318 0.91099 4 0.65455 1.6579 0.88067 5 0.61969 1.8252 0.85537 6 0.5929 1.9538 0.83427 7 0.57419 2.0436 0.81869 8 0.56367 2.0941 0.80961 9 0.55859 2.1184 0.80516 10 0.55721 2.1251 0.80393 11 0.55752 2.1236 0.80421 12 0.55867 2.1181 0.80523 13 0.56027 2.1104 0.80664 14 0.56148 2.1046 0.8077 15 0.5625 2.0997 0.8086 16 0.56337 2.0955 0.80935 17 0.56404 2.0923 0.80994 18 0.56442 2.0905 0.81027 19 0.56464 2.0894 0.81046 20 0.56474 2.0889 0.81055 21 0.56476 2.0888 0.81056 22 0.56474 2.0889 0.81055 23 0.56471 2.089 0.81053 24 0.56469 2.0891 0.81051 25 0.5647 2.0891 0.81051 26 0.56469 2.0892 0.81051 27 0.56469 2.0892 0.8105 28 0.56468 2.0892 0.8105 29 0.56468 2.0892 0.8105 30 0.56468 2.0892 0.8105 Dati(1,10).t.ssglar.mod(p,n).Mnpc n=500 p=30 Sparsità: 46.875% fit rms cod 1 0.93972 0.090865 0.99637 2 0.91305 0.13108 0.99244 3 0.88467 0.17385 0.9867 4 0.86061 0.21012 0.98057 5 0.84422 0.23483 0.97573 6 0.83199 0.25326 0.97177 7 0.82637 0.26173 0.96985 8 0.82689 0.26096 0.97003 9 0.83206 0.25316 0.9718 10 0.84075 0.24006 0.97464 11 0.85078 0.22494 0.97773 12 0.86053 0.21025 0.98055 13 0.86869 0.19794 0.98276 14 0.87482 0.1887 0.98433 15 0.87911 0.18223 0.98539 16 0.88157 0.17852 0.98598 17 0.88241 0.17726 0.98617 18 0.88201 0.17787 0.98608 19 0.88066 0.17989 0.98576 20 0.8787 0.18285 0.98529 21 0.87636 0.18638 0.98471 22 0.87385 0.19016 0.98409 23 0.87146 0.19376 0.98348 24 0.86934 0.19696 0.98293 25 0.86778 0.19932 0.98252 26 0.86692 0.20062 0.98229 27 0.8667 0.20095 0.98223 28 0.867 0.20049 0.98231 29 0.86768 0.19946 0.98249 30 0.86857 0.19812 0.98273 Dati(1,11).t.ssglar.mod(p,n).Mnpc n=500 p=30 Sparsità: 68.75% fit rms cod 1 0.96143 0.030698 0.99851 2 0.93915 0.048438 0.9963 3 0.9206 0.063203 0.9937 4 0.90464 0.075908 0.99091 5 0.89013 0.087458 0.98793 6 0.88396 0.092371 0.98653 7 0.88457 0.091885 0.98667 8 0.88234 0.093653 0.98616 9 0.87693 0.09796 0.98485 10 0.87741 0.097585 0.98497 11 0.8796 0.095839 0.9855 12 0.88122 0.094548 0.98589 13 0.88425 0.092139 0.9866 14 0.88973 0.087777 0.98784 15 0.89331 0.084928 0.98862 16 0.89369 0.084623 0.9887 17 0.89358 0.084713 0.98867 18 0.89446 0.084007 0.98886 19 0.89421 0.084209 0.98881 20 0.89297 0.085195 0.98854 21 0.8932 0.085015 0.98859 22 0.89421 0.084209 0.98881 23 0.89335 0.084891 0.98863 24 0.89128 0.086541 0.98818 25 0.89054 0.087127 0.98802 26 0.89033 0.087294 0.98797 27 0.88916 0.088226 0.98772 28 0.88861 0.088666 0.98759 29 0.88983 0.087692 0.98786 30 0.89056 0.087111 0.98802