Contents [0/14] |
Video [1/14] |
Ammortized Analysis [2/14] |
XPerformanceOfArrays [3/14] |
XPerformanceOfArrays +1 [4/14] |
XPerformanceOfArrays +10 [5/14] |
XPerformanceOfArrays +100 [6/14] |
XPerformanceOfArrays *2 [7/14] |
XPerformanceOfArrays *4 [8/14] |
XPerformanceOfArrays *8 [9/14] |
XPerformanceOfArrays *1.5 [10/14] |
XPerformanceOfArrays *1.1 [11/14] |
XPerformanceOfStrings [12/14] |
XPerformanceOfStrings [13/14] |
XPerformanceOfStrings [14/14] |
(Click here for one slide per page)
Video [1/14] |
In two parts:
Ammortized Analysis [2/14] |
Algorithm input includes data and a sequence of operations performed by the client
Amortized analysis provides a worst-case performance guarantee on a sequence of operations
We will look at
XPerformanceOfArrays [3/14] |
file:XPerformanceOfArrays.java [source] [doc-public] [doc-private]
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package algs14; import stdlib.*; public class XPerformanceOfArrays { private double[] a; private int N; public XPerformanceOfArrays() { this.a = new double[1]; this.N = 0; } private void resize(int capacity) { double[] temp = new double[capacity]; for (int i = 0; i < N; i+=1) { if (SHOW) StdOut.format ("%02d ", i); temp[i] = a[i]; ops += 1; } if (SHOW) StdOut.println(); a = temp; } public void push(double item) { if (N == a.length) resize (1+N); //resize((int)Math.ceil (N*1.5)); a[N] = item; N += 1; ops += 1; } private static long ops; private static boolean SHOW = true; public static void main(String[] args) { timeTrial(32); SHOW = false; int MIN = 256; int MAX = 100_000_000; double prevTime = timeTrial(MIN); double prevOps = ops; double deltaSum = 0; int deltaNum = 0; for (int N = MIN*2; N<=MAX; N += N) { double time = timeTrial(N); StdOut.format ("Elapsed count f(%,13d): %,17d: %10.3f [%10.3f : %10.3f]\n", N, ops, ops / prevOps, time, time/prevTime); prevTime = time; deltaSum += ops/prevOps; deltaNum += 1; prevOps = ops; } StdOut.format ("Average delta: %.3f\n", deltaSum/deltaNum); } public static double timeTrial(int N) { ops = 0; Stopwatch s = new Stopwatch(); XPerformanceOfArrays stack = new XPerformanceOfArrays(); for (int j=0; j<N; j+=1) { stack.push (j); } return s.elapsedTime(); } }
XPerformanceOfArrays +1 [4/14] |
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public void push(double item) { if (N == a.length) resize(1+N); a[N] = item; N += 1; } |
Output
00 00 01 00 01 02 00 01 02 03 00 01 02 03 04 00 01 02 03 04 05 00 01 02 03 04 05 06 00 01 02 03 04 05 06 07 00 01 02 03 04 05 06 07 08 00 01 02 03 04 05 06 07 08 09 00 01 02 03 04 05 06 07 08 09 10 00 01 02 03 04 05 06 07 08 09 10 11 00 01 02 03 04 05 06 07 08 09 10 11 12 00 01 02 03 04 05 06 07 08 09 10 11 12 13 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Elapsed count f( 512): 131,328: 3.992 [ 0.005 : 2.500] Elapsed count f( 1,024): 524,800: 3.996 [ 0.010 : 2.000] Elapsed count f( 2,048): 2,098,176: 3.998 [ 0.008 : 0.800] Elapsed count f( 4,096): 8,390,656: 3.999 [ 0.060 : 7.500] Elapsed count f( 8,192): 33,558,528: 4.000 [ 0.088 : 1.467] Elapsed count f( 16,384): 134,225,920: 4.000 [ 0.182 : 2.068] Elapsed count f( 32,768): 536,887,296: 4.000 [ 0.685 : 3.764] Elapsed count f( 65,536): 2,147,516,416: 4.000 [ 2.292 : 3.346] Elapsed count f( 131,072): 8,590,000,128: 4.000 [ 8.996 : 3.925] Elapsed count f( 262,144): 34,359,869,440: 4.000 [ 38.306 : 4.258]
N pushes in quadratic time
Each push is ammortized linear time
XPerformanceOfArrays +10 [5/14] |
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public void push(double item) { if (N == a.length) resize(10+N); a[N] = item; N += 1; } |
Output
00 00 01 02 03 04 05 06 07 08 09 10 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Elapsed count f( 512): 13,824: 3.914 [ 0.001 : Infinity] Elapsed count f( 1,024): 53,657: 3.881 [ 0.003 : 3.000] Elapsed count f( 2,048): 211,353: 3.939 [ 0.003 : 1.000] Elapsed count f( 4,096): 842,956: 3.988 [ 0.011 : 3.667] Elapsed count f( 8,192): 3,366,912: 3.994 [ 0.011 : 1.000] Elapsed count f( 16,384): 13,441,433: 3.992 [ 0.063 : 5.727] Elapsed count f( 32,768): 53,713,305: 3.996 [ 0.085 : 1.349] Elapsed count f( 65,536): 214,813,900: 3.999 [ 0.348 : 4.094] Elapsed count f( 131,072): 859,176,960: 4.000 [ 1.005 : 2.888] Elapsed count f( 262,144): 3,436,288,409: 4.000 [ 3.955 : 3.935] Elapsed count f( 524,288): 13,744,314,777: 4.000 [ 17.241 : 4.359] Elapsed count f( 1,048,576): 54,976,629,964: 4.000 [ 71.803 : 4.165]
N pushes in quadratic time
Out of 10 pushes: 9 are constant time; 1 is linear
Each push is ammortized linear time
XPerformanceOfArrays +100 [6/14] |
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public void push(double item) { if (N == a.length) resize(100+N); a[N] = item; N += 1; } |
Output
00 Elapsed count f( 512): 2,018: 3.610 [ 0.000 : 0.000] Elapsed count f( 1,024): 6,535: 3.238 [ 0.000 : NaN] Elapsed count f( 2,048): 23,069: 3.530 [ 0.001 : Infinity] Elapsed count f( 4,096): 86,137: 3.734 [ 0.006 : 6.000] Elapsed count f( 8,192): 340,374: 3.952 [ 0.008 : 1.333] Elapsed count f( 16,384): 1,353,148: 3.975 [ 0.013 : 1.625] Elapsed count f( 32,768): 5,395,896: 3.988 [ 0.019 : 1.462] Elapsed count f( 65,536): 21,550,192: 3.994 [ 0.072 : 3.789] Elapsed count f( 131,072): 86,002,883: 3.991 [ 0.162 : 2.250] Elapsed count f( 262,144): 343,877,866: 3.998 [ 0.553 : 3.414] Elapsed count f( 524,288): 1,374,719,831: 3.998 [ 1.775 : 3.210] Elapsed count f( 1,048,576): 5,498,344,562: 4.000 [ 7.048 : 3.971] Elapsed count f( 2,097,152): 21,992,308,724: 4.000 [ 29.507 : 4.187]
N pushes in quadratic time
Out of 100 pushes: 99 are constant time; 1 is linear
Each push is ammortized linear time
XPerformanceOfArrays *2 [7/14] |
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public void push(double item) { if (N == a.length) resize(2*N); a[N] = item; N += 1; } |
Output
00 00 01 00 01 02 03 00 01 02 03 04 05 06 07 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 Elapsed count f( 512): 1,023: 2.002 [ 0.000 : NaN] Elapsed count f( 1,024): 2,047: 2.001 [ 0.000 : NaN] Elapsed count f( 2,048): 4,095: 2.000 [ 0.000 : NaN] Elapsed count f( 4,096): 8,191: 2.000 [ 0.000 : NaN] Elapsed count f( 8,192): 16,383: 2.000 [ 0.000 : NaN] Elapsed count f( 16,384): 32,767: 2.000 [ 0.001 : Infinity] Elapsed count f( 32,768): 65,535: 2.000 [ 0.003 : 3.000] Elapsed count f( 65,536): 131,071: 2.000 [ 0.007 : 2.333] Elapsed count f( 131,072): 262,143: 2.000 [ 0.002 : 0.286] Elapsed count f( 262,144): 524,287: 2.000 [ 0.003 : 1.500] Elapsed count f( 524,288): 1,048,575: 2.000 [ 0.007 : 2.333] Elapsed count f( 1,048,576): 2,097,151: 2.000 [ 0.015 : 2.143] Elapsed count f( 2,097,152): 4,194,303: 2.000 [ 0.028 : 1.867] Elapsed count f( 4,194,304): 8,388,607: 2.000 [ 0.043 : 1.536] Elapsed count f( 8,388,608): 16,777,215: 2.000 [ 0.055 : 1.279] Elapsed count f( 16,777,216): 33,554,431: 2.000 [ 0.147 : 2.673] Elapsed count f( 33,554,432): 67,108,863: 2.000 [ 0.360 : 2.449] Elapsed count f( 67,108,864): 134,217,727: 2.000 [ 0.597 : 1.658] Average delta: 2.000
N pushes in linear time
Each time we resize: constant pushes double
Each push is ammortized constant time
XPerformanceOfArrays *4 [8/14] |
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public void push(double item) { if (N == a.length) resize(4*N); a[N] = item; N += 1; } |
Output
00 00 01 02 03 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 Elapsed count f( 512): 853: 2.501 [ 0.000 : NaN] Elapsed count f( 1,024): 1,365: 1.600 [ 0.000 : NaN] Elapsed count f( 2,048): 3,413: 2.500 [ 0.000 : NaN] Elapsed count f( 4,096): 5,461: 1.600 [ 0.000 : NaN] Elapsed count f( 8,192): 13,653: 2.500 [ 0.001 : Infinity] Elapsed count f( 16,384): 21,845: 1.600 [ 0.001 : 1.000] Elapsed count f( 32,768): 54,613: 2.500 [ 0.002 : 2.000] Elapsed count f( 65,536): 87,381: 1.600 [ 0.003 : 1.500] Elapsed count f( 131,072): 218,453: 2.500 [ 0.007 : 2.333] Elapsed count f( 262,144): 349,525: 1.600 [ 0.006 : 0.857] Elapsed count f( 524,288): 873,813: 2.500 [ 0.008 : 1.333] Elapsed count f( 1,048,576): 1,398,101: 1.600 [ 0.010 : 1.250] Elapsed count f( 2,097,152): 3,495,253: 2.500 [ 0.037 : 3.700] Elapsed count f( 4,194,304): 5,592,405: 1.600 [ 0.029 : 0.784] Elapsed count f( 8,388,608): 13,981,013: 2.500 [ 0.100 : 3.448] Elapsed count f( 16,777,216): 22,369,621: 1.600 [ 0.061 : 0.610] Elapsed count f( 33,554,432): 55,924,053: 2.500 [ 0.429 : 7.033] Elapsed count f( 67,108,864): 89,478,485: 1.600 [ 0.288 : 0.671] Average delta: 2.050
N pushes in linear time
Each time we resize: constant pushes quadruple
Each push is ammortized constant time
XPerformanceOfArrays *8 [9/14] |
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public void push(double item) { if (N == a.length) resize(8*N); a[N] = item; N += 1; } |
Output
00 00 01 02 03 04 05 06 07 Elapsed count f( 512): 585: 1.778 [ 0.000 : NaN] Elapsed count f( 1,024): 1,609: 2.750 [ 0.000 : NaN] Elapsed count f( 2,048): 2,633: 1.636 [ 0.000 : NaN] Elapsed count f( 4,096): 4,681: 1.778 [ 0.000 : NaN] Elapsed count f( 8,192): 12,873: 2.750 [ 0.001 : Infinity] Elapsed count f( 16,384): 21,065: 1.636 [ 0.001 : 1.000] Elapsed count f( 32,768): 37,449: 1.778 [ 0.001 : 1.000] Elapsed count f( 65,536): 102,985: 2.750 [ 0.006 : 6.000] Elapsed count f( 131,072): 168,521: 1.636 [ 0.005 : 0.833] Elapsed count f( 262,144): 299,593: 1.778 [ 0.007 : 1.400] Elapsed count f( 524,288): 823,881: 2.750 [ 0.013 : 1.857] Elapsed count f( 1,048,576): 1,348,169: 1.636 [ 0.016 : 1.231] Elapsed count f( 2,097,152): 2,396,745: 1.778 [ 0.017 : 1.063] Elapsed count f( 4,194,304): 6,591,049: 2.750 [ 0.095 : 5.588] Elapsed count f( 8,388,608): 10,785,353: 1.636 [ 0.043 : 0.453] Elapsed count f( 16,777,216): 19,173,961: 1.778 [ 0.060 : 1.395] Elapsed count f( 33,554,432): 52,728,393: 2.750 [ 0.733 : 12.217] Elapsed count f( 67,108,864): 86,282,825: 1.636 [ 0.298 : 0.407] Average delta: 2.055
N pushes in linear time
Each time we resize: constant pushes multiply by 8
Each push is ammortized constant time
XPerformanceOfArrays *1.5 [10/14] |
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public void push(double item) { if (N == a.length) resize((int)Math.ceil (N*1.5)); a[N] = item; N += 1; } |
Output
00 00 01 00 01 02 00 01 02 03 04 00 01 02 03 04 05 06 07 00 01 02 03 04 05 06 07 08 09 10 11 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 Elapsed count f( 512): 1,922: 2.189 [ 0.000 : NaN] Elapsed count f( 1,024): 3,144: 1.636 [ 0.001 : Infinity] Elapsed count f( 2,048): 6,831: 2.173 [ 0.000 : 0.000] Elapsed count f( 4,096): 14,872: 2.177 [ 0.000 : NaN] Elapsed count f( 8,192): 32,453: 2.182 [ 0.001 : Infinity] Elapsed count f( 16,384): 52,782: 1.626 [ 0.002 : 2.000] Elapsed count f( 32,768): 114,681: 2.173 [ 0.002 : 1.000] Elapsed count f( 65,536): 249,859: 2.179 [ 0.003 : 1.500] Elapsed count f( 131,072): 407,564: 1.631 [ 0.004 : 1.333] Elapsed count f( 262,144): 884,271: 2.170 [ 0.006 : 1.500] Elapsed count f( 524,288): 1,924,095: 2.176 [ 0.012 : 2.000] Elapsed count f( 1,048,576): 3,148,295: 1.636 [ 0.020 : 1.667] Elapsed count f( 2,097,152): 6,821,541: 2.167 [ 0.039 : 1.950] Elapsed count f( 4,194,304): 14,824,201: 2.173 [ 0.042 : 1.077] Elapsed count f( 8,388,608): 32,305,900: 2.179 [ 0.147 : 3.500] Elapsed count f( 16,777,216): 52,653,164: 1.630 [ 0.150 : 1.020] Elapsed count f( 33,554,432): 114,275,340: 2.170 [ 0.508 : 3.387] Elapsed count f( 67,108,864): 248,730,932: 2.177 [ 1.268 : 2.496] Average delta: 2.025
N pushes in linear time
Each time we resize: constant pushes multiply by 1.5
Each push is ammortized constant time
XPerformanceOfArrays *1.1 [11/14] |
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public void push(double item) { if (N == a.length) resize((int)Math.ceil (N*1.1)); a[N] = item; N += 1; } |
Output
00 00 01 00 01 02 00 01 02 03 00 01 02 03 04 00 01 02 03 04 05 00 01 02 03 04 05 06 00 01 02 03 04 05 06 07 00 01 02 03 04 05 06 07 08 00 01 02 03 04 05 06 07 08 09 00 01 02 03 04 05 06 07 08 09 10 00 01 02 03 04 05 06 07 08 09 10 11 12 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 Elapsed count f( 512): 5,721: 2.024 [ 0.001 : Infinity] Elapsed count f( 1,024): 11,402: 1.993 [ 0.001 : 1.000] Elapsed count f( 2,048): 22,520: 1.975 [ 0.002 : 2.000] Elapsed count f( 4,096): 48,320: 2.146 [ 0.001 : 0.500] Elapsed count f( 8,192): 94,698: 1.960 [ 0.002 : 2.000] Elapsed count f( 16,384): 185,318: 1.957 [ 0.005 : 2.500] Elapsed count f( 32,768): 362,372: 1.955 [ 0.006 : 1.200] Elapsed count f( 65,536): 772,598: 2.132 [ 0.012 : 2.000] Elapsed count f( 131,072): 1,509,413: 1.954 [ 0.018 : 1.500] Elapsed count f( 262,144): 2,948,653: 1.954 [ 0.018 : 1.000] Elapsed count f( 524,288): 6,283,714: 2.131 [ 0.048 : 2.667] Elapsed count f( 1,048,576): 12,272,649: 1.953 [ 0.046 : 0.958] Elapsed count f( 2,097,152): 23,970,316: 1.953 [ 0.051 : 1.109] Elapsed count f( 4,194,304): 46,819,577: 1.953 [ 0.102 : 2.000] Elapsed count f( 8,388,608): 99,760,500: 2.131 [ 0.223 : 2.186] Elapsed count f( 16,777,216): 194,835,921: 1.953 [ 0.454 : 2.036] Elapsed count f( 33,554,432): 380,541,255: 1.953 [ 0.953 : 2.099] Elapsed count f( 67,108,864): 743,288,834: 1.953 [ 1.579 : 1.657] Average delta: 2.002
N pushes in linear time
Each time we resize: constant pushes multiply by 1.1
Each push is ammortized constant time
XPerformanceOfStrings [12/14] |
file:XPerformanceOfStrings.java [source] [doc-public] [doc-private]
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package algs14; import stdlib.*; public class XPerformanceOfStrings { /** create a string consisting of N asterisks */ public static String makeStringUsingConcat (int N) { String result = ""; for (int i=0; i<N; i+=1) { result = result + "*"; ops += result.length(); } return result; } /** create a string consisting of N asterisks */ public static String makeStringUsingBuffer (int N) { StringBuffer result = new StringBuffer (); for (int i=0; i<N; i+=1) { result.append ("*"); ops += 1; } return result.toString (); } private static long ops; private static String result; public static void main(String[] args) { timeTrial(32); StdOut.println(result); int MIN = 256; int MAX = 1_000_000_000; double prevTime = timeTrial(MIN); double prevOps = ops; for (int N = MIN*2; N<=MAX; N += N) { double time = timeTrial(N); StdOut.format ("Elapsed count f(%,13d): %,17d: %10.3f [%10.3f : %10.3f]\n", N, ops, ops / prevOps, time, time/prevTime); prevTime = time; prevOps = ops; } } public static double timeTrial(int N) { ops = 0; Stopwatch sw = new Stopwatch(); result = makeStringUsingConcat(N); //result = makeStringUsingBuffer(N); return sw.elapsedTime(); } }
XPerformanceOfStrings [13/14] |
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public static String makeStringUsingConcat (int N) { String result = ""; for (int i=0; i<N; i+=1) { result = result + "*"; } return result; } |
Output
******************************** Elapsed count f( 512): 131,328: 3.992 [ 0.001 : 1.000] Elapsed count f( 1,024): 524,800: 3.996 [ 0.001 : 1.000] Elapsed count f( 2,048): 2,098,176: 3.998 [ 0.004 : 4.000] Elapsed count f( 4,096): 8,390,656: 3.999 [ 0.011 : 2.750] Elapsed count f( 8,192): 33,558,528: 4.000 [ 0.048 : 4.364] Elapsed count f( 16,384): 134,225,920: 4.000 [ 0.098 : 2.042] Elapsed count f( 32,768): 536,887,296: 4.000 [ 0.180 : 1.837] Elapsed count f( 65,536): 2,147,516,416: 4.000 [ 0.574 : 3.189] Elapsed count f( 131,072): 8,590,000,128: 4.000 [ 1.794 : 3.125] Elapsed count f( 262,144): 34,359,869,440: 4.000 [ 6.947 : 3.872] Elapsed count f( 524,288): 137,439,215,616: 4.000 [ 28.864 : 4.155] Elapsed count f( 1,048,576): 549,756,338,176: 4.000 [ 125.439 : 4.346]
N concatenations in quadratic time
Each concatenation is ammortized linear time
A common bug in collections (how to print an array in quadratic time):
01 |
public static String toString () { String result = ""; for (int i=0; i<N; i+=1) { result = result + a[i]; } return result; } |
XPerformanceOfStrings [14/14] |
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public static String makeStringUsingBuffer (int N) { StringBuffer result = new StringBuffer (); for (int i=0; i<N; i+=1) { result.append ("*"); } return result.toString (); } |
Output
******************************** Elapsed count f( 512): 512: 2.000 [ 0.001 : Infinity] Elapsed count f( 1,024): 1,024: 2.000 [ 0.000 : 0.000] Elapsed count f( 2,048): 2,048: 2.000 [ 0.000 : NaN] Elapsed count f( 4,096): 4,096: 2.000 [ 0.000 : NaN] Elapsed count f( 8,192): 8,192: 2.000 [ 0.001 : Infinity] Elapsed count f( 16,384): 16,384: 2.000 [ 0.002 : 2.000] Elapsed count f( 32,768): 32,768: 2.000 [ 0.002 : 1.000] Elapsed count f( 65,536): 65,536: 2.000 [ 0.002 : 1.000] Elapsed count f( 131,072): 131,072: 2.000 [ 0.004 : 2.000] Elapsed count f( 262,144): 262,144: 2.000 [ 0.007 : 1.750] Elapsed count f( 524,288): 524,288: 2.000 [ 0.008 : 1.143] Elapsed count f( 1,048,576): 1,048,576: 2.000 [ 0.014 : 1.750] Elapsed count f( 2,097,152): 2,097,152: 2.000 [ 0.037 : 2.643] Elapsed count f( 4,194,304): 4,194,304: 2.000 [ 0.057 : 1.541] Elapsed count f( 8,388,608): 8,388,608: 2.000 [ 0.120 : 2.105] Elapsed count f( 16,777,216): 16,777,216: 2.000 [ 0.229 : 1.908] Elapsed count f( 33,554,432): 33,554,432: 2.000 [ 0.430 : 1.878] Elapsed count f( 67,108,864): 67,108,864: 2.000 [ 0.879 : 2.044] Elapsed count f( 134,217,728): 134,217,728: 2.000 [ 1.843 : 2.097] Elapsed count f( 268,435,456): 268,435,456: 2.000 [ 3.706 : 2.011] Elapsed count f( 536,870,912): 536,870,912: 2.000 [ 7.635 : 2.060]
N appends in linear time
Each append is ammortized constant time
Java's StringBuffer
is implemented with a resizing array.
Revised: 2008/03/17 13:01