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author | Christian Grothoff <christian@grothoff.org> | 2020-07-12 20:04:19 +0200 |
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committer | Christian Grothoff <christian@grothoff.org> | 2020-07-12 20:04:19 +0200 |
commit | 5e5a15b01b136b347d15bf7517ad2745a4e1b465 (patch) | |
tree | bb7731da37131348cc05951ac44e3755555d5370 /doc/system/taler/implementation.tex | |
parent | 4c1c8e405bdba1fafbf5cfb318b92b460e3f4855 (diff) | |
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Diffstat (limited to 'doc/system/taler/implementation.tex')
-rw-r--r-- | doc/system/taler/implementation.tex | 3 |
1 files changed, 1 insertions, 2 deletions
diff --git a/doc/system/taler/implementation.tex b/doc/system/taler/implementation.tex index f386228f..41202d06 100644 --- a/doc/system/taler/implementation.tex +++ b/doc/system/taler/implementation.tex @@ -1849,8 +1849,7 @@ This includes both how many coins are used per transaction on average, as well as how often refresh operations are run. We ran a simple simulation to determine rather conservative upper bounds for -the parameters that characterize the average transaction. The source code for -the simulation can be found in Appendix \ref{appendix:coinsim}. +the parameters that characterize the average transaction. In the simulation, thirteen denominations of values $2^0,\dots,2^{12}$ are available. Customers repeatedly select a random value to be spent between $4$ and $5000$. |