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Controlled Randomized Rounding Benjamin Doerr joint work with Tobias Friedrich, Christian Klein, Ralf Osbild

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Page 1: Controlled Randomized Rounding Benjamin Doerr joint work with Tobias Friedrich, Christian Klein, Ralf Osbild

Controlled Randomized Rounding Benjamin Doerr

joint work with Tobias Friedrich, Christian Klein, Ralf Osbild

Page 2: Controlled Randomized Rounding Benjamin Doerr joint work with Tobias Friedrich, Christian Klein, Ralf Osbild

ADFOCS

Benjamin Doerr Controlled Randomized Rounding

August 21 - August 25, 2006, Saarbrücken, Germany

Advanced Course on the Foundations of Computer Science

Tamal Dey Joel Spencer Ingo Wegener

Surface Reconstruction and Meshing: Algorithms with Mathematical Analysis

Erdős Magic,Erdős-Rényi Phase Transition

Randomized Search Heuristics: Concept and Analysis

Page 3: Controlled Randomized Rounding Benjamin Doerr joint work with Tobias Friedrich, Christian Klein, Ralf Osbild

Overview

Introduction Two Applications

Problem: Matrix rounding with small errors in row and columns

Previous and new results

The Algorithms Alternating cycle trick.

Two speed-ups.

Summary

Benjamin Doerr Controlled Randomized Rounding

Page 4: Controlled Randomized Rounding Benjamin Doerr joint work with Tobias Friedrich, Christian Klein, Ralf Osbild

Introduction

Benjamin Doerr Controlled Randomized Rounding

Application 1: Increase ReadabilitySPD CDU Die Grünen FDP Die Linke sum

Saarbrücken 51.231 41.846 12.517 12.502 33.021 151.117

Saarlouis 55.839 53.774 9.014 12.789 30.142 161.558

St. Wendel 50.048 50.000 6.925 10.127 25.286 142.386

Homburg 54.083 45.447 9.033 11.770 28.640 148.973

sum 211.201 191.067 37.489 47.188 117.089 604.034

Bundestagswahl 2005, Zweitstimmen in den vier Wahlkreisen im Saarland

Page 5: Controlled Randomized Rounding Benjamin Doerr joint work with Tobias Friedrich, Christian Klein, Ralf Osbild

Introduction

Benjamin Doerr Controlled Randomized Rounding

Application 1: Increase Readability

SPD CDU Die Grünen FDP Die Linke sum

Saarbrücken 51.000 42.000 12.000 13.000 33.000 151.000

Saarlouis 56.000 54.000 9.000 13.000 30.000 162.000

St. Wendel 50.000 50.000 6.000 11.000 25.000 142.000

Homburg 54.000 45.000 9.000 12.000 29.000 149.000

sum 211.000 191.000 36.000 49.000 117.000 604.000

SPD CDU Die Grünen FDP Die Linke sum

Saarbrücken 51.231 41.846 12.467 12.552 33.021 151.117

Saarlouis 55.839 53.774 9.264 12.539 30.142 161.558

St. Wendel 50.048 50.000 6.495 10.557 25.286 142.386

Homburg 54.083 45.447 9.263 11.540 28.640 148.973

sum 211.201 191.067 37.489 47.188 117.089 604.034

Bundestagswahl 2005, Zweitstimmen in den vier Wahlkreisen im Saarland

Page 6: Controlled Randomized Rounding Benjamin Doerr joint work with Tobias Friedrich, Christian Klein, Ralf Osbild

Introduction

Benjamin Doerr Controlled Randomized Rounding

Application 2: Confidentiality Protection0-9999 10k-100k 100k-1M 1M+

0-39 257 312 0 0

40-59 178 411 81 15

60+ 210 309 41 14

0-9999 10k-100k 100k-1M 1M+

0-39 232 340 4 0

40-59 171 398 83 14

60+ 245 355 51 15

Kleinkleckersdorf income statistics 2000

Kleinkleckersdorf income statistics 2001

Dr. Hein Blød, born 1941, has a 1M+ annual income!

Solution: Round all number to multiples of 5.

Page 7: Controlled Randomized Rounding Benjamin Doerr joint work with Tobias Friedrich, Christian Klein, Ralf Osbild

Introduction

Benjamin Doerr Controlled Randomized Rounding

Round a [0,1] matrix to a {0,1} matrix s.t. rounding errors in row totals are less than one;

rounding errors in column totals are less than one;

rounding error in grand total is less than one.

“Controlled Rounding”

Classical result: All matrices have controlled roundings.

Bacharach ’66, Cox&Ernst ’82: Statistics.

Baranyai ’75: Hypergraph coloring.

Basic Problem

Page 8: Controlled Randomized Rounding Benjamin Doerr joint work with Tobias Friedrich, Christian Klein, Ralf Osbild

Introduction

Benjamin Doerr Controlled Randomized Rounding

“Unbiased” = Randomized: Pr(yij = 1) = xij,

Pr(yij = 0) = 1 – xij.

Result: Unbiased controlled roundings exist. Cox ’87.

Follows also from GKPS (FOCS ‘02).

Problem: Extension 1

Page 9: Controlled Randomized Rounding Benjamin Doerr joint work with Tobias Friedrich, Christian Klein, Ralf Osbild

Introduction

Benjamin Doerr Controlled Randomized Rounding

Small errors in initial intervals of row/columns:

“Strongly controlled roundings”

Observation: Errors less than two in arbitrary intervals.

Allows reliable range queries. “# of 20-59 year olds with income 10k-100k”?

Problem: Extension 2

8i 8b:¯¯¯¯

bP

j =1(xi j ¡ yi j )

¯¯¯¯< 1 8j 8b:

¯¯¯¯

bP

i=1(xi j ¡ yi j )

¯¯¯¯< 1

8i 8a 8b:¯¯¯¯

bP

j =a(xi j ¡ yi j )

¯¯¯¯< 2 8j 8a 8b:

¯¯¯¯

bP

i=a(xi j ¡ yi j )

¯¯¯¯< 2

Page 10: Controlled Randomized Rounding Benjamin Doerr joint work with Tobias Friedrich, Christian Klein, Ralf Osbild

Introduction

Benjamin Doerr Controlled Randomized Rounding

Unbiased strongly controlled roundings exist.

Can be generated in time O((mn)2);

O(mn ), if numbers have binary length at most ;

O(mn b2), if numbers are multiples of 1/b;[Confidentiality protection: ‘rounding’ integers to multiples

of b]

Our Result:

Page 11: Controlled Randomized Rounding Benjamin Doerr joint work with Tobias Friedrich, Christian Klein, Ralf Osbild

The Algorithms

Benjamin Doerr Controlled Randomized Rounding

Simplifying assumptions:

Row/columns sums integral

Only aim at low errors in whole rows/columns (all intervals: more technical).

Alternating Cycle Trick:

0.6 0.7 0.2 0.9 0.6

0.3 0.1 0.5 0.3 0.2

0.9 0.4 0.7 0.2 0.8

0.2 0.8 0.6 0.6 0.4

1. Choose an alternating cycle (of non-zeroes).2. Compute possible modifications: εmin= -0.1, εmax= 0.3.3. (a) Non-randomized: Modify with any ε [here: ε =

εmax].(b) Unbiased: Suitable random choice.

Result: At least one entry becomes 0 or 1.Time complexity: One iteration O(mn), total O((mn)2).

+ε-ε

-ε0.9

0.0

0.4

0.4

Page 12: Controlled Randomized Rounding Benjamin Doerr joint work with Tobias Friedrich, Christian Klein, Ralf Osbild

The Algorithms

Benjamin Doerr Controlled Randomized Rounding

Assumptions:

All number have finite binary expansion.

Simplifications as before.

Fast Alternating Cycle Trick:

0.101 0.101 0.100 0.110 0.100

0.000 0.001 0.100 0.100 0.111

0.001 0.010 0.011 0.110 0.100

0.010 0.000 0.101 0.000 0.001

1. Choose an alternating cycle (with 1s in last digit).2. Allow only modifications ε1 = -0.001 and ε2 = +0.001.3. (a) Non-randomized: Modify with either value.

(b) Unbiased: Pick each value with 50% chance [here: ε = ε2].

Result: Bit-length in whole cycle reduces.Time complexity: Amortized O(1) to reduce bit-length of one entry.

Total: O(mn bit_length).

0.110

0.000 0.100

0.100 0.010

0.1100.010

0.100

Page 13: Controlled Randomized Rounding Benjamin Doerr joint work with Tobias Friedrich, Christian Klein, Ralf Osbild

The Algorithms

Benjamin Doerr Controlled Randomized Rounding

Assumptions:

All numbers multiples of 1/b.

Simplifications as before.

Multiples of 1/b (here b=5):

1/5 3/5 4/5 2/5 0

3/5 4/5 0 3/5 0

2/5 2/5 2/5 2/5 2/5

4/5 1/5 4/5 3/5 3/5

1. Choose an alternating cycle (of non-zeroes).2. Allow only modifications. ε1 = -1/b and ε2 = +1/b.3. (a) Non-randomized: Be clever (derandomize!).

(b) Unbiased: Pick each value with 50% chance [here: ε = ε2].

Time complexity: Amortized O(b2) to fully round one entry. Total: O(mn b2).

Proof: Entries perform random walk in {0, 1/5, 2/5, 3/5, 4/5, 1}.

-ε +ε

+ε2/5

2/5

2/5

1

Page 14: Controlled Randomized Rounding Benjamin Doerr joint work with Tobias Friedrich, Christian Klein, Ralf Osbild

Benjamin Doerr Controlled Randomized Rounding

Unbiased strongly controlled roundings: “randomized roundings”

rounding errors in initial intervals of rows/column: < 1.

Result: Can be generated in time O((mn)2);

O(mn ), if numbers have binary length at most ;

O(mn b2), if numbers are multiples of 1/b;

Summary:

Thank you!