a0fde9f8-e7e6-4537-9089-3b3e3e905867 49 4 5 false false 0 0 decimal
&[DATE] &[TIME] - &[FILENAME]
&[PAGENUM] / &[COUNT]
 1.0.8348.30405 <content> <p> algo utilities </p> </content>

Program 1 : To augment s Nested Array

M AUG j 1 M length ( range j 1 ≡ B M j el : B B M j el augment : if 1 1 line for B 2 1 line :

Program 2 : To find all parameters

M key Min_Nest_Param M1 M AUG : M2 M1 key 1 findrows : 2 1 line : iVBORw0KGgoAAAANSUhEUgAAABQAAAAZCAYAAAAxFw7TAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAB0SURBVEhL7ZJBDoAgEAP5hv//G9/A9qCBdLWIwYskTEmGZE6kUnAekPMW+gOsSkfiFXiCVemYEryKYlU6fhyMotQiHZ8E+eEJ9Sl7qYN1lFA1oocpwcgTrErHCjZgVTpWsAGr0nEb5OMI2BCsyjdgVY6Tyg4N76NY+02rNQAAAABJRU5ErkJggg==

pre-set key col

Results of Slope Stability Analysis
FS Centers Radius Slices

 1.4659 7 m * 15.6 m * 1 2 mat 16.2 m * 46 1.4447 7.5 m * 15.6 m * 1 2 mat 16.2 m * 46 1.4299 8 m * 15.6 m * 1 2 mat 16.2 m * 46 1.3742 8.5 m * 15.6 m * 1 2 mat 16.2 m * 45 1.4386 9 m * 15.6 m * 1 2 mat 16.2 m * 46 1.4599 9.5 m * 15.6 m * 1 2 mat 16.2 m * 46 1.4749 10 m * 15.6 m * 1 2 mat 16.2 m * 46 7 4 mat 1.3742 4 1.3742 8.5 m * 15.6 m * 1 2 mat 16.2 m * 45 1 4 mat

Min FS
Center at Min FS
Radius at Min FS
Slices at Min FS

system 1.3742 8.5 m * 15.6 m * 1 2 mat 16.2 m * 45 4 1 sys

This 1rst example ... slightly recast from original NDTMA

Search ranged values in matrix ... [col_row]

M lo hi locate k 0 : i 1 M rows range j 1 M cols range M i j el lo ≥ ( M i j el hi ≤ ( * 0 ≠ u k k 1 + : el i : v k k : el j : 1 2 mat k k 1 + : if for for strip paired 0's k 0 : i 1 u rows range u i el v i el * 0 ≠ R k k 1 + : el u i el v i el 1 2 mat : NOT in search lo/hi if 1 1 line for R transpose 3 1 line 4 1 line :

Search in lo-hi range ... truth table

Altitude correction from source [1..4]

data 1.2929 1.2469 1.2022 1.1588 1.1523 1.1113 1.0714 1.0327 1.0392 1.0022 0.9663 0.9314 0.9464 0.9127 0.88 0.8482 0.8688 0.8378 0.8078 0.7786 0.8029 0.7743 0.7466 0.7196 0.7464 0.7198 0.694 0.6689 0.6972 0.6724 0.6483 0.6249 0.6542 0.6309 0.6083 0.5863 0.6161 0.5942 0.5729 0.5522 0.5823 0.5615 0.5414 0.5219 0.5519 0.5323 0.5132 0.4947 0.5246 0.5059 0.4878 0.4702 0.4998 0.482 0.4648 0.448 0.4773 0.4603 0.4438 0.4278 0.4567 0.4405 0.4247 0.4094 0.4379 0.4223 0.4071 0.3924 0.4205 0.4055 0.391 0.3769 0.4044 0.39 0.376 0.3625 0.3896 0.3757 0.3622 0.3491 0.3757 0.3624 0.3494 0.3368 0.3629 0.3499 0.3374 0.3252 22 4 mat :

search range value
"truth" condition

lo 0.6309 : hi 0.8688 : 1 2 mat x c lo x ≤ ( x hi ≤ ( * : 2 1 sys 18 4 4 1 2 mat 5 1 1 2 mat 5 2 1 2 mat 5 3 1 2 mat 5 4 1 2 mat 6 1 1 2 mat 6 2 1 2 mat 6 3 1 2 mat 6 4 1 2 mat 7 1 1 2 mat 7 2 1 2 mat 7 3 1 2 mat 7 4 1 2 mat 8 1 1 2 mat 8 2 1 2 mat 8 3 1 2 mat 9 1 1 2 mat 9 2 1 2 mat 18 1 mat

Truth table

T data c data * vectorize : 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.8482 0.8688 0.8378 0.8078 0.7786 0.8029 0.7743 0.7466 0.7196 0.7464 0.7198 0.694 0.6689 0.6972 0.6724 0.6483 0 0.6542 0.6309 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 22 4 mat row col value 4 4 0.8482 5 1 0.8688 5 2 0.8378 5 3 0.8078 5 4 0.7786 6 1 0.8029 6 2 0.7743 6 3 0.7466 6 4 0.7196 7 1 0.7464 7 2 0.7198 7 3 0.694 7 4 0.6689 8 1 0.6972 8 2 0.6724 8 3 0.6483 9 1 0.6542 9 2 0.6309 19 3 mat 0.6309 0.6483 0.6542 0.6689 0.6724 0.694 0.6972 0.7196 0.7198 0.7464 0.7466 0.7743 0.7786 0.8029 0.8078 0.8378 0.8482 0.8688 18 1 mat

Times Table

n T i 1 n range j 1 n range M i j el i j * : for for M 2 1 line :

Search repeated values in matrix ... [col_row]

M lo hi locate k 0 : i 1 M rows range j 1 M cols range M i j el lo ≥ ( M i j el hi ≤ ( * 0 ≠ u k k 1 + : el i : v k k : el j : 1 2 mat k k 1 + : if for for strip paired 0's k 0 : i 1 u rows range u i el v i el * 0 ≠ R k k 1 + : el u i el v i el 1 2 mat : NOT in search lo/hi if 1 1 line for R transpose 3 1 line 4 1 line :

col
row

idx 3 16 1 2 mat 4 12 1 2 mat 6 8 1 2 mat 8 6 1 2 mat 12 4 1 2 mat 16 3 1 2 mat 1 6 mat

symbol is composite of 3
cursor RHS, backspace to delete

 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 3 6 9 12 15 18 21 24 27 30 33 36 39 42 45 ▄▄ 4 8 12 16 20 24 28 32 36 40 44 ▄▄ 52 56 60 64 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 6 12 18 24 30 36 42 ▄▄ 54 60 66 72 78 84 90 96 7 14 21 28 35 42 49 56 63 70 77 84 91 98 105 112 8 16 24 32 40 ▄▄ 56 64 72 80 88 96 104 112 120 128 9 18 27 36 45 54 63 72 81 90 99 108 117 126 135 144 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 11 22 33 44 55 66 77 88 99 110 121 132 143 154 165 176 12 24 36 ▄▄ 60 72 84 96 108 120 132 144 156 168 180 192 13 26 39 52 65 78 91 104 117 130 143 156 169 182 195 208 14 28 42 56 70 84 98 112 126 140 154 168 182 196 210 224 15 30 45 60 75 90 105 120 135 150 165 180 195 210 225 240 16 32 ▄▄ 64 80 96 112 128 144 160 176 192 208 224 240 256 16 16 mat

Locate 1rst exact value in vector

V x col FindIdx j 1 : V j col el x ≠ j j 1 + : while j 0 ≡ inexistant j V j col el 1 2 mat if 3 1 line : 7 0.6 - 1 2 mat 7 0.3 0.6 - 1 3 mat

Piecewise/global locate v in Q

of any length
v ≤ length(Q)
in any order.

v 5.13 4.74 9.93 9.73 3.16 2.36 6 1 mat : 20

row
col
key

idx Q key FindIndex ( : 2 3 4.74 3 1 mat

global locate v ... in ... Q

k 1 v rows range key k el v k el : idx k el Q key k el FindIndex : 2 1 line for

row/col/key

idx transpose 5 1 5.13 3 1 mat 2 3 4.74 3 1 mat 4 2 9.93 3 1 mat 4 4 9.73 3 1 mat 5 4 3.16 3 1 mat 2 2 2.36 3 1 mat 1 6 mat

M 1.22 7.36 7.96 7.94 1.26 59/25 237/50 3.07 5.83 4.11 3.78 8.14 3.64 993/100 8.95 973/100 513/100 3.71 5.78 79/25 5 4 mat

Locate the 1rst occurence of a
specific element in matrix

V x FindIdx j 1 : V j el x ≠ j j 1 + : while j V j el 1 2 mat 3 1 line :

13 is on length 9 of M

M x FindIdx 9 13 1 2 mat

Exclude a region from a data set

 <content> <p> T1, T2 </p> </content>

Strip single 0's

v Strip0 k 0 : i 1 v rows range v i el 0 ≠ R k k 1 + : el v i el : v is ≠ 0 if 1 1 line for R 3 1 line : 1 T1 T2 axes 3 1 sys N1 N2 axes 3 1 sys 90 87 76 3 1 sys 90 89 69 3 1 sys

Replace range in matrix

 2 1 1 mat

address/replace

M 2 3 el 2 sqrt : 1 2 3 4 5 1.414214 4 8 9 3 3 mat

Truth table ...
locate elements in M within range [a, b]

M a b Truth count 0 : i 1 M rows range j 1 M cols range M i j el a ≥ ( M i j el b ≤ ( * Z i j el M i j el : count count 1 + : if for for Z 3 1 line : 0 0 0 0 0 2.36 0 3.07 0 0 3.78 0 3.64 0 0 0 0 3.71 0 3.16 5 4 mat 0 0 0 0 0 2.36 0 3.07 0 0 3.78 0 3.64 0 0 0 0 3.71 0 3.16 5 4 mat

Highlight the replaced elements

Objective 1.22 7.36 7.96 7.94 1.26 ▄▄ 4.74 ▄▄ 5.83 4.11 ▄▄ 8.14 ▄▄ 9.93 8.95 9.73 5.13 ▄▄ 5.78 ▄▄ 5 4 mat

Matched occurences between two data sets

 <content> <p> data, want </p> </content>

truth table rectagular Array1 on descending deployed Array2
matched occurences collected wrt their [row/col] in Array1.

Array1 Array2 Locate Unwrap an array in vector V Array2 1 col : i 2 Array2 cols range V V Array2 i col stack : for V locate matching occurences i 1 : match 0 : k 1 V rows range row 1 Array1 rows range col 1 Array1 cols range Array1 row col el V k el ≡ ( 1 ≡ match i 1 el row col 2 1 mat : i i 1 + : 2 1 line NO math occurences if for for for match 9 1 line : 25 7 17 7 2 1 mat 12 8 2 1 mat 12 7 2 1 mat 6 2 2 1 mat 9 6 2 1 mat 7 1 2 1 mat 22 1 2 1 mat 16 7 2 1 mat 8 1 mat

1. scan => coincidences data <=> want
2. zap => located in rows 'data'

j 1 Index rows range scan j el data Index j el 1 el Index j el 2 el el : zap j el Index j el 1 el : 2 1 line for
This document . . . from confidential source
0. Source Mathcad 11, project done for Art.
1. want is complete
2. data is reduced in length.
Offered in Smath as a utilities tool .
]]>

Recover 'want' found in 'data'

zap scan augment 17 0.4679 12 0.4381 12 0.4542 6 0.4443 9 0.4132 7 0.4918 22 0.3934 16 0.4222 8 2 mat 17 12 12 6 9 7 22 16 8 1 mat

sanity individual matched

jj 8 : 0.4222

Strip repeated in 'zap' vector

zap Strip zap zap sort : k 0 : i 1 zap rows 1 - ( range zap i 1 + el zap i el - 0 ≠ R k k 1 + : el zap i el : 1 1 line if 1 1 line for R zap zap rows el stack 4 1 line :

Next objective is to delete rows marked '1'
in data. We sort the "zap" vector, then strip
from repeated rows indices.

indices of rows to
be deleted in data

delrow transpose 6 7 9 12 16 17 22 1 7 mat

'include' rows of data not marked '1'

include s 1 data rows range : y delrow : x y in x y ≡ vectorize max : 3 1 sys j 1 : t s w j el t : j j 1 + : 2 1 line t y in 0 ≡ Exclude cases for w 4 1 line :

on descending 's' rows(data),logical test
excludes indices that are common between
's' and 'delrow'

t y in logic test common [1/0] ≡

1. vec'r included data
2. data xcluded 'want'
3. length 'filtered'

vr include : Medic data vr 1 8 range el : k 1 Medic rows range : 3 1 sys 1 2 3 4 5 8 10 11 13 14 15 18 19 20 21 23 24 25 18 1 mat iVBORw0KGgoAAAANSUhEUgAAACMAAAAYCAYAAABwZEQ3AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAACpSURBVEhLzdRNCoMwEEBhKZ5EPFnxWNKTSU8iTdvFgyojJvPjdPE2mQQ+EkjXv9ZS3a2X151qx3ya7pM8N6bC/KKW5yLvVWTCkBfKBUNWlCuGtKgQDLWiQjFUi+qkw1GdoS7F0BEqBUN7VCqGQP0FZhzGMj/mXAyI1GfaI1IwRwi65NM7Q1AophZBIZhWBLlitAhywVgRZMJ4IUiF+SLEubEmjPdNbFvLG1DzBUqJJvVOAAAAAElFTkSuQmCC

Explore graph

col 4 :

'Medic',is data stripped of the
rows 'mark 1'... as determined
by Locate(Array1,Array2).

 Medicdata_1 col Medicdata 2 1 sys 179.6 179.2 2 1 mat

sanity individual 'mark'

jj 8 : 0.4222

identify/visualize/locate
in data where 'want & data'
do coincide ...
[kind of truth table]

data Index markWant <content> <p> data mark "\2584\\2584\\2584\"... Medic </p> </content>

rows marked "" are zapped for the resulting Medic

data 0.4195 0.4099 0.4078 0.4001 0.4247 0.4163 0.4134 0.4074 0.5001 0.4884 0.4893 0.4777 0.5008 0.491 0.491 0.4818 0.4945 0.4802 0.4789 0.4659 0.4862 0.4723 0.4719 0.4585 0.4837 0.4692 0.4756 0.4615 0.4862 0.4729 0.4786 0.4662 0.4874 0.4786 0.4788 0.4699 0.4853 0.4765 0.477 0.4682 0.4543 ▄▄▄ 0.4393 0.4309 0.4573 0.4486 0.442 0.4357 ▄▄▄ 0.4798 0.4884 0.4769 0.4915 0.48 0.4878 0.4768 0.4724 0.4167 0.416 0.405 0.4269 0.4171 0.4143 0.4047 0.4302 0.4125 0.4167 0.4 0.4319 ▄▄▄ 0.419 0.4015 0.4975 0.4861 0.5002 0.4875 0.4952 0.4851 0.4974 0.4864 0.4668 0.4525 0.443 0.4299 0.463 0.4495 0.4387 0.4264 0.4713 0.4563 0.4606 0.4462 0.462 0.4464 ▄▄▄ ▄▄▄ 0.4545 0.4433 0.4437 0.4332 0.4565 0.4467 0.4482 0.4392 0.5027 0.4848 0.5039 0.4855 0.5014 0.4839 0.5014 0.4834 0.5015 0.4863 0.487 0.4728 0.4996 0.4834 0.4859 0.4719 0.466 0.4569 0.433 0.4246 0.4548 0.4464 ▄▄▄ 0.4126 0.4719 0.4592 0.47 0.4598 0.471 0.4588 ▄▄▄ 0.4584 0.4056 0.3927 0.3919 0.3833 0.4063 0.3914 0.3922 0.382 0.471 0.4584 0.4472 0.4361 0.4731 0.4611 0.4505 0.4406 0.528 0.5138 0.5137 0.5008 0.5261 0.5121 0.5108 0.4983 0.504 0.4946 0.5162 0.5072 0.5008 0.4929 0.5127 0.5056 ▄▄▄ 0.3872 0.3707 0.3654 0.391 0.3817 0.3695 0.3611 0.4209 0.4076 0.4062 0.3945 0.4226 0.4104 0.4069 0.3965 0.4824 0.4718 0.4783 0.4683 0.4794 0.4681 0.4757 0.4663 0.497 0.4869 0.4954 0.4855 0.5015 0.4905 0.5004 0.4901 25 8 mat 0.4195 0.4099 0.4078 0.4001 0.4247 0.4163 0.4134 0.4074 0.5001 0.4884 0.4893 0.4777 0.5008 0.491 0.491 0.4818 0.4945 0.4802 0.4789 0.4659 0.4862 0.4723 0.4719 0.4585 0.4837 0.4692 0.4756 0.4615 0.4862 0.4729 0.4786 0.4662 0.4874 0.4786 0.4788 0.4699 0.4853 0.4765 0.477 0.4682 0.4724 0.4167 0.416 0.405 0.4269 0.4171 0.4143 0.4047 0.4975 0.4861 0.5002 0.4875 0.4952 0.4851 0.4974 0.4864 0.4668 0.4525 0.443 0.4299 0.463 0.4495 0.4387 0.4264 0.4545 0.4433 0.4437 0.4332 0.4565 0.4467 0.4482 0.4392 0.5027 0.4848 0.5039 0.4855 0.5014 0.4839 0.5014 0.4834 0.5015 0.4863 0.487 0.4728 0.4996 0.4834 0.4859 0.4719 0.4056 0.3927 0.3919 0.3833 0.4063 0.3914 0.3922 0.382 0.471 0.4584 0.4472 0.4361 0.4731 0.4611 0.4505 0.4406 0.528 0.5138 0.5137 0.5008 0.5261 0.5121 0.5108 0.4983 0.504 0.4946 0.5162 0.5072 0.5008 0.4929 0.5127 0.5056 0.4209 0.4076 0.4062 0.3945 0.4226 0.4104 0.4069 0.3965 0.4824 0.4718 0.4783 0.4683 0.4794 0.4681 0.4757 0.4663 0.497 0.4869 0.4954 0.4855 0.5015 0.4905 0.5004 0.4901 18 8 mat

col(Medic ≤ 8)

index 1 Medic rows range : plot index Medic 8 col augment : 2 1 sys 1 0.4074 2 0.4818 3 0.4585 4 0.4662 5 0.4682 6 0.4047 7 0.4864 8 0.4264 9 0.4392 10 0.4834 11 0.4719 12 0.382 13 0.4406 14 0.4983 15 0.5056 16 0.3965 17 0.4663 18 0.4901 18 2 mat 8 plot plot 2 1 sys plot x s x λ * 2 1 sys

Exclude/Include ...

locate indices in [lo, hi] range ...

M lo hi locate k 0 : i 1 M rows range j 1 M cols range M i j el lo ≥ ( M i j el hi ≤ ( * 0 ≠ u k k 1 + : el i : v k k : el j : 1 2 mat k k 1 + : if for for strip paired 0's k 0 : i 1 u rows range u i el v i el * 0 ≠ R k k 1 + : el u i el v i el 1 2 mat : NOT in search lo/hi if 1 1 line for R 3 1 line 4 1 line : MyRange lo 2 lo 1 - 2 2 mat hi 3 hi 1 - 2 2 mat 3 1 sys MyStuff lo 2 ^ 3 lo 2 ^ 1 - 2 2 mat 2 1 sys 2 1.414 2.1 1.449 2.2 1.483 2.3 1.517 2.4 1.549 2.5 1.581 2.6 1.612 7 2 mat 2 1.414 1 2 mat 9 3 1 2 mat 2 1 sys

7 unique row 3

7 M 1 Multiple 3 1 1 mat

4 duplicate
rows [2, 4]

4 M 1 Multiple 2 4 2 1 mat 2 1 1 mat

location of 6 in 'h'

6 h 1 Multiple transpose 1 5 6 11 1 4 mat

Locating the first occurrence of
a specific element in a vector

check if occurrence is unique

 397 1 1 mat

sanity check

w 397 row 400 1 1 mat <content> <p> data </p> </content> 1

Locate 1rst exact value in vector

V x col FindIdx j 1 : V j col el x ≠ j j 1 + : while j 0 ≡ inexistant j V j col el 1 2 mat if 3 1 line :

All values project

 0.9 1.56 1 2 mat 2.8272 0.9 1.56 1 2 mat 2.88 H 2.5 - 0.6 + 40 red 1 5 mat 0 2.88 + 40 red 1 5 mat axes 4 1 sys 2.88 2.484 - 2 1 mat 2.8272 0.1982 - 1 2 mat

row of Max(X)

idxkey 70 2.8272 1 2 mat 2.8 0.2 - 1 2 mat

row of Max(X)

idxkey 28 2.5454 - 1 2 mat 2.5 - 0.6 1 2 mat 11 2 1 2 mat 0 2.88 1 2 mat 53 2 1 2 mat 0.3677 2.484 - 1 2 mat

Brute force search successive Max(col,▪)

 <content> <p> Explode Lorentz data set </p> </content>

Locate 1rst exact value in vector

V x col FindIdx j 1 : V j col el x ≠ j j 1 + : while j 0 ≡ inexistant j V j col el 1 2 mat if 3 1 line : 7 126.706 1 2 mat 36 101.681 1 2 mat 35 201.789 1 2 mat 3 1 mat 1 126.706 1 2 mat 4 167.442 1 2 mat 7 201.789 1 2 mat 3 1 mat XY j 256 j 64 - 2 2 mat pts 3 1 sys

indices

XY U Min 2 FindIdx XY Ω Min 2 FindIdx XY V Min 2 FindIdx XY Z Min 2 FindIdx 4 1 mat 1 6.905 1 2 mat 13 9.293 1 2 mat 30 5.847 1 2 mat 45 0.699 1 2 mat 4 1 mat

values

XY 1 row XY 13 row XY 30 row XY 45 row 4 1 mat 0.1 6.905 1 2 mat 1.9 9.293 1 2 mat 6 5.847 1 2 mat 10 0.699 1 2 mat 4 1 mat <content> <p> Systtem </p> </content> 1 0.1 6.905 2 0.3 10.567 3 0.5 18.504 4 0.7 39.878 5 0.8 64.004 6 0.9 101.6 7 1 126.706 8 1.1 101.822 9 1.2 64.451 10 1.3 40.556 11 1.5 19.673 12 1.7 12.293 13 1.9 9.293 14 3 15.124 15 3.2 21.711 16 3.4 34.35 17 3.6 60.908 18 3.7 84.199 19 3.8 116.214 20 3.9 150.8 21 4 167.442 22 4.1 150.756 23 4.2 116.126 24 4.3 84.065 25 4.4 60.726 26 4.6 34.065 27 4.8 21.306 28 5 14.572 29 5.5 7.542 30 6 5.847 31 6.5 10.223 32 6.7 22.186 33 6.8 42.04 34 6.9 101.908 35 7 201.789 36 7.1 101.681 37 7.2 41.582 38 7.3 21.492 39 7.5 9.026 40 7.7 6.026 41 8 3.014 42 8.5 1.711 43 9 1.175 44 9.5 0.883 45 10 0.699 45 3 mat 1 1 mat

3D ► parametric(X,Y,Z,n) Peak Generator ...

▲ flatten plot ... ▼ balloon plot

n 2.5 : iVBORw0KGgoAAAANSUhEUgAAABQAAAAZCAYAAAAxFw7TAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAABzSURBVEhL7ZRRCsAgDEN7jd3/br2Ga5hkrtTh5j46UHiJqRAGE6VMLFWtu3PVQliM6hbOe0AZPAIL5ndAGTyfFqIsR+Hxp4IDsxxfaMrAoVmuQlze9gJPF14GZrkLW1bhEFAGzyocAsrg+UfhY3ov9juk7GcGz0okDUugAAAAAElFTkSuQmCC

absolute wrt fractional 'n'

# abs

peak explorer
system explorer

j 6 : r 33 : 2 1 mat

data creator

data j row 0.4 4.2 0.03 1 3 mat 33 0.165 0.2269 1 2 mat 1 2 mat plot 0.005 0.0136 1 2 mat 1 0.0047 1 2 mat 0.165 0.2269 1 2 mat 3 1 sys 1 20 1 1 2 mat 26 1 1 2 mat 30 1 1 2 mat 46 1 1 2 mat 50 1 1 2 mat 80 1 1 2 mat 88 1 1 2 mat 130 1 1 2 mat 152 1 1 2 mat 156 1 1 2 mat 162 1 1 2 mat 11 1 mat 0.1 0.13 0.15 0.23 0.25 0.4 0.44 0.65 0.76 0.78 0.81 11 1 mat 4.0712 5.1397 3.1449 4.3662 5.3106 4.2477 2.6125 4.3236 3.3494 5.2006 4.3208 11 1 mat 0.1 4.0712 0.13 5.1397 0.15 3.1449 0.23 4.3662 0.25 5.3106 0.4 4.2477 0.44 2.6125 0.65 4.3236 0.76 3.3494 0.78 5.2006 0.81 4.3208 11 2 mat