Ebert's method: Difference between revisions
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==Definition==
Let:
* V voters
* C candidates
* W winners, 0<W<C
Each voter approves or disapproves each candidate.▼
A "load distribution" is a two-dimensional array X_{v,c} v=1..V, c=1..C such that:
# 0 <= X_{v,c}
▲2. X_{v,c}=0 unless v approves c
▲3. DoubleSum X_{v,c} = W
▲4. for each candidate c, Sum_v X_{v,c} = 1 if c is a winner, otherwise =0.
▲minimize the SUM_v ( SUM_c X_{v,c} )^2.
==Variants==
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