Concept

Verification — where it appears

The expensive stage that checks a candidate a cheap stage proposed. It is what makes a filter correct rather than merely fast, and a filter that skips it returns the right answers whenever its candidates happen to be right.

Named by 14 essays across 7 fields — each of them below, with the objects they name alongside it.

1,00010,000110100modulus qverifications in one searchq = 257: 693measuredn / qchosen text: 6%one unit = one character comparison · base 2568 colliding blocks at q = 1,009, none at q = 1,000,003

A match decided by a number

Rabin–Karp replaces a comparison of two strings with a comparison of two integers, and pays for it only when the integers agree by accident. On 65,521 windows at a modulus of 1,009 it verified 79 times against a predicted 64.9. On a text of 1,024 characters chosen with the modulus in hand it verified at 64 windows out of 64 possible, each one costing fifteen of the pattern's sixteen characters — and the closed form is silent about that, because it assumes nobody chose the text.

randomness · Symbol
pattern of 24, 3 errors allowedpositions in the text20,000candidates proposed140candidates verified140occurrences7pattern 24 · 3 errors · 28,700 cells against 480,000selectivity 5.0%

The filter that feeds the table

A self-index answers exact queries and nothing else. Approximate matching needs a table with twenty thousand columns in it. The pigeonhole joins them — cut the pattern into k+1 pieces and at least one occurs exactly, and the index that cannot answer the question decides where to ask it.

text · Distance
1,00010,000110occurrences12481632characters in the collection · copies aboveall occurrencessecondaryprimarypattern "ss is un" · z = 1561 primary · 31 secondary

The occurrences that cross a boundary

One pattern, thirty-two copies of a text, thirty-two occurrences. The search finds one of them and produces the other thirty-one by arithmetic, and the count it finds is the same one at two copies, at eight and at thirty-two — the searching does not grow when the answer does.

text · Parse
stop where they meetextra path length42321stop when keys reach itextra path length110203040grid, by seedV = 900, 28% blocked, steps cost one to nine5 of 40 wrong under the meeting rule

Where two searches should stop

Search from both ends of a shortest-path query at once and the two frontiers meet somewhere in the middle, having expanded about two thirds of what one search would. Stop at the first vertex both searches have finished, and on five of forty weighted grids the path returned is longer than the shortest. The rule that is always right stops on a different condition, and on one of those grids it also stops sooner.

graphs · Graph
k = 0k = 1k = 2k = 3k = 4k = 5k = 6q = 223211917151311q = 3221916131074q = 4211713951-3q = 520151050-5-10q = 6191371-5-11-17q = 81791-7-15-23-31a shaded cell is a threshold of zero or less: every window proposedt = m + 1 − q(k+1) · m = 2411 collapsed cells

The q-grams an error cannot destroy

A pattern of twenty-four characters holds twenty-one four-grams. Two errors can destroy at most eight of them, so any occurrence with two errors still shares thirteen — and a filter that keeps only the windows sharing thirteen proposes 104 of 3,977 and computes 16,744 table cells instead of 96,000.

text · Distance
10010³10⁴errors allowed, kacts0123index walkthe whole table3,000 characters · m = 20 · 4 symbolsno crossing in range

The search that spends a budget

A backward search narrows one interval per pattern character. Give it a budget of three errors and it narrows 39,943 of them instead, finds every occurrence the whole table finds, and reads not one character of the text — 177,046 index ranks against 60,000 table cells and zero characters examined.

indexes · Distance
40%60%80%100%8121624324864elements sortedshare of the known worst case the climbs reach, on averageInsertion sort · 20 of 24Merge sort · 24 of 24First-element quicksort · 0 of 24hollow: none reached it24 climbs a size · 100 swaps per elementworst cases known exactly

The worst case found by climbing

A search that swaps two elements at a time and keeps whatever does not lower the count finds the worst case of all five sorts at eight elements, where every answer can be checked. At sixty-four it finds merge sort's worst case every time and reaches 39% of first-element quicksort's — whose worst case is sorted input, the most famous bad input there is. Checking a search where the answer is known certifies it only there.

counting · Count
good suffix, defined757,058good suffix, from links3,824bad character, defined12,666bad character, swept5,168128 patterns · 1,280 characters of patternfour symbols · m = 10198x and 2.5x

The case a failure link does not cover

Compute the exact good-suffix rule from the failure links alone and eighteen of twenty-two entries come out too large. The matcher then steps past sixty-six of two thousand and twenty-five occurrences, and every match it does report is a match.

bounds · Symbol
0102030comparisons on one orderingfloor 16Insertion sort7 to 28 · mean 19.28Merge sort12 to 17 · mean 15.73Heapsort21 to 29 · mean 25.81First-element quicksort13 to 28 · mean 16.92Median-of-three quicksort25 to 29 · mean 26.30Batcher's network19 on all 40,32040,320 orders of 8, enumeratedfloor ⌈log₂ 8!⌉ = 16

The sort whose count has no distribution

Batcher's network makes nineteen comparisons on every one of the 40,320 orderings of eight elements — sorted, reversed, adversarial or random — because it decides which pairs to compare before it sees any of them. That is two above merge sort's worst case and four below heapsort's best. At 65,536 elements the same refusal to adapt costs 4.07 times merge sort's worst case, and it buys three things no adaptive sort has, one of which is a proof of correctness that takes 65,536 inputs instead of twenty trillion.

counting · Count
ordered by degreedegeneracy orderthe degeneracy024681012largest out-degreeuniform pairs, degree 452 above duniform pairs, degree 6136 above duniform pairs, degree 1083 above dpreferential attachment, degree 414 above dpreferential attachment, degree 622 above dpreferential attachment, degree 1058 above d1,024 verticesdashed: the degeneracy

A bound right for the wrong reason

Orient every edge of a graph towards its higher-degree endpoint and count triangles among out-neighbours, and the work is O(E·d), where d is the graph's degeneracy. The usual reason given is that the orientation keeps every out-degree at most d. On a graph of 1,024 vertices with degeneracy four, 136 vertices have more than four out-neighbours and one has seven. The bound survives by a different argument, and the orientation that does keep every out-degree at most d does less work.

graphs · Graph
0.010.11errors allowed, kshare of windows proposed01234q = 3q = 4q = 5a shaded dot is a collapsed thresholdm = 24 · n = 4,000 · 6 planted1 collapsed rows

The threshold that reaches zero

At q = 5 and four errors on a twenty-four-character pattern the filter demands zero shared q-grams, proposes all 2,977 windows, and computes 986,266 table cells where filling the whole table would have cost 96,000. The failure is arithmetic and is knowable before a character is read.

wrong · Distance
the whole table60,00060,000r · 0rkcounting filter24,84315,369r · 0rkseed filter17,7452,415r · 1,377rkindex walk00r · 177,046rkn = 3,000 · m = 20 · q = 4cells drawn · r = characters read, rk = index rankscells computed6 occurrences

Three savings in three currencies

The same six occurrences, found four ways. The table computes 60,000 cells and reads 60,000 characters. The counting filter computes 6,251 cells and reads 13,022 characters. The seed filter computes 3,325 and reads 550. The index walk computes none, reads none, and performs 18,645 ranks.

wrong · Distance
atgaattcatgagtgacaag00000111111112222222errorsthe pattern, left to right · D belowleast errors neededD, the bound4 symbols · m = 2090 ranks · 2 resets

The pruning that loses an occurrence

Two versions of the same lower-bound pruning, each one character away from correct. Both return only real occurrences, both return fewer of them, and no check that asks whether the answers are right can tell either from the truth.

wrong · Distance
errors, by piecetaken by(0, 0, 0)1(0, 0, 1)1(0, 0, 2)1(0, 1, 0)1(0, 1, 1)1(0, 2, 0)3(1, 0, 0)2(1, 0, 1)2(1, 1, 0)3(2, 0, 0)30 of 10 covered more than once · the numbers are the searchesk = 2 · 3 pieces10 distributions

A schedule nobody writes down

A search scheme is valid when its searches between them cover every way the errors can fall — ten cases at two errors, enumerable in a line. A scheme missing one of them finds seven occurrences of eight, all real, at the right error counts, and reports nothing wrong.

wrong · Distance

Named alongside it

The objects these essays reach for when they reach for this one.

MeasurementApproximate matchingCounterexampleEdit distanceFilteringError budgetPattern matchingSeed-and-extendBacktracking searchCounting filterFalse-positiveFM-index

All concepts