I have an math issue to add levels from 100 to 1000, but only got values from previous level.

First way (which seemed not like true solution): my try was to determine scale of increase:

98 to 99: 1.48549052859962 / 1.47549052855247 = 1.006777407142667666027802785427;
97 to 98: 1.47549052855247 / 1.46549052844927 = 1.006823653861333136524863886226 …

Second way (which seemed closer to solution) was to focus on delta (i.e. value99-value98) decrease:

0.01000000004715/0.0100000001032=0.99999999439500005784359940305405; 0.0100000001032/0.01000000021209=0.99999998911100023094479610189182; …

The first code I had:

var rawData = new {startValue = 1.48549052859962, startValueChange = 1.006777407142667666027802785427,
  valueChangeDelta = 0.99999998911100023094479610189182};
int newLevels = 901;
double currentDeltaIncrease=rawData.startValueChange;
double currentValue=rawData.startValue;
for(int i = 1; i <= newLevels; i++) {
  currentDeltaIncrease*=rawData.valueChangeDelta;
  currentValue*=currentDeltaIncrease;
  Console.WriteLine(currentValue);
}

Because it is possible to have several values per level, I wanted to get rid of temporary storing in “current…”-variables:

for(int i = 1; i <= newLevels; i++) {
  Console.WriteLine(rawData.startValue * Math.Pow(rawData.startValueChange * Math.Pow(rawData.valueChangeDelta, i), i));
}

Also tried to reconstruct values from 3 to 99 myself with level 2 for start data, but values are different.

The values from level 1 to 99

0.0534378655888462
0.103417958130935
0.150187142379338
0.193976721559392
0.235003285878962
0.273469522127392
0.309564985803977
0.343466837176423
0.37534054263011
0.40534054263011
0.433610887579783
0.460285842822386
0.485490463995477
0.509341143911967
0.531946132106459
0.553406028151031
0.573814249810801
0.593257477076532
0.611816073079128
0.629564482859128
0.646571610933278
0.662901178569855
0.678612061654716
0.693758610000949
0.708390948926613
0.722555263897232
0.736294069002583
0.749646460010777
0.762648352716717
0.775332707276717
0.787729739196369
0.799867117614635
0.811770151503618
0.82346196438055
0.834963658106136
0.846294466321637
0.857471898055803
0.868511872012087
0.879428842026456
0.890235914166456
0.900944955923168
0.911566697929096
0.922110828617022
0.932586082217298
0.943000320474056
0.953360608444246
0.963673284727383
0.973944026458308
0.984177909380165
0.994379463300165
1.00455272321654
1.01470127639133
1.02482830563044
1.0349366290194
1.04502873635108
1.05510682246933
1.06517281774116
1.07522841585884
1.0852750991623
1.0953141616623
1.10534672993426
1.11537378204347
1.12539616465293
1.13541460845618
1.14542974206903
1.15544210450583
1.16545215635806
1.17546028978574
1.18546683742443
1.19547208030443
1.20547625487165
1.21547955919368
1.22548215842847
1.23548418962761
1.24548576594038
1.25548698028024
1.26548790850992
1.27548861219737
1.28548914098981
1.29548953464981
1.30548982479273
1.31549003636185
1.3254901888738
1.33549029746387
1.34549037375782
1.35549042659397
1.36549046261702
1.3754904867624
1.385490502648
1.395490512888
1.40549051934176
1.41549052330894
1.4254905256807
1.43549052705509
1.44549052782396
1.45549052823718
1.46549052844927
1.47549052855247
1.48549052859962