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approaches the boundary of Ω where the signed distance function is zero, and it takes negative values outside of Ω. However, the alternative convention is also sometimes taken instead (i.e., negative inside Ω and positive outside). The concept also sometimes goes by the name oriented distance
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This does not define a metric on the set of such subsets: the distance between overlapping sets is zero, and this distance does not satisfy the triangle inequality for any metric space with two or more points (consider the triple of sets consisting of two distinct singletons and their
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or an estimation based on other criteria (e.g. "two counties over"). The term is also frequently used metaphorically to mean a measurement of the amount of difference between two similar objects (such as
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measures how different they are. For example, the words "dog" and "dot", which differ by just one letter, are closer than "dog" and "cat", which have no letters in common. This idea is used in
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Many abstract notions of distance used in mathematics, science and engineering represent a degree of difference or separation between similar objects. This page gives a few examples.
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between two subsets of a metric space can be thought of as measuring how far they are from perfectly overlapping. Somewhat more precisely, the Hausdorff distance between
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is "the different ways in which an object might be removed from" the self along dimensions such as "time, space, social distance, and hypotheticality". In
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The straight-line distance between two points on the surface of the Earth is not very useful for most purposes, since we cannot tunnel straight through the
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is also used for related concepts that are not encompassed by the description "a numerical measurement of how far apart points or objects are".
1236: 2413: 1706:, whichever is larger. (Here "farthest point" must be interpreted as a supremum.) The Hausdorff distance defines a metric on the set of 1588: 766:{\displaystyle d={\sqrt {(\Delta x)^{2}+(\Delta y)^{2}+(\Delta z)^{2}}}={\sqrt {(x_{2}-x_{1})^{2}+(y_{2}-y_{1})^{2}+(z_{2}-z_{1})^{2}}}.} 1841: 1066:
and a Bregman divergence (and in fact the only example which is both). Statistical manifolds corresponding to Bregman divergences are
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Unusual definitions of distance can be helpful to model certain physical situations, but are also used in theoretical mathematics:
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of an airplane or spacecraft is its distance from the Earth. The same sense of distance is used in Euclidean geometry to define
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In practice, one is often interested in the travel distance between two points along roads, rather than as the crow flies. In a
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by an object is the length of a specific path travelled between two points, such as the distance walked while navigating a
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Most of the notions of distance between two points or objects described above are examples of the mathematical idea of a
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can be interpreted mathematically as saying that the distance between any two vertices is at most six. Similarly, the
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in classical physics measures the change in position of an object during an interval of time. While distance is a
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Distance along a path compared with displacement. The Euclidean distance is the length of the displacement vector.
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Malladi, R.; Sethian, J.A.; Vemuri, B.C. (1995). "Shape modeling with front propagation: a level set approach".
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which starts and ends at the same point, such as a ball thrown straight up, or the Earth when it completes one
1016: 839:(bottom) when heading eastwards. The shortest route appears as a curve rather than a straight line because the 172: 2269: 2457: 1987: 1967: 1957: 1821: 1526: 1422: 1160: 1150: 1020: 272: 184: 53: 2326: 1919: 1557: 1278: 1212: 1191:, respectively—are distances in the graphs whose edges represent mathematical or artistic collaborations. 1075: 808: 215: 93: 1982: 1813: 1807: 877: 870: 510:{\displaystyle d={\sqrt {(\Delta x)^{2}+(\Delta y)^{2}}}={\sqrt {(x_{2}-x_{1})^{2}+(y_{2}-y_{1})^{2}}}.} 1126: 1086: 1028: 1012: 1008: 998: 907: 862: 786: 168: 75: 2399: 2331: 2046: 1992: 1942: 1915: 1895: 1887: 1322: 1164: 1079: 1071: 1024: 965:: the number of east–west and north–south blocks one must traverse to get between those two points. 848: 325: 257: 139: 2344: 2018: 1907: 1765: 1679: 1299: 1044: 1040: 969: 962: 946: 911: 276: 264: 235: 226:
The distance between physical locations can be defined in different ways in different contexts.
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One may measure the distance between the closest points of the two objects; in this sense, the
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between them, which is the shortest possible path. This is the usual meaning of distance in
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does not scale all distances equally compared to the real spherical surface of the Earth.
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Animation visualizing the function (abs(x)^r + abs(y)^r)^(1/r) for various values of r.
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This condition can be described informally as "intermediate stops can't speed you up."
922:. On galactic and larger scales, the measurement of distance is also affected by the 100: 2502: 2002: 1707: 1224: 1184: 1122: 1118: 1110: 1106: 1067: 1036: 191:). Most such notions of distance, both physical and metaphorical, are formalized in 176: 144: 17: 1798: 2477: 2348: 2161: 1977: 1903: 1786:; if the radius is 1, each revolution of the wheel causes a vehicle to travel 1750: 1285: 1266: 1260: 1232: 1180: 1134: 1060: 973: 832: 249: 196: 942: 2370: 1879: 1525:
There are multiple ways of measuring the physical distance between objects that
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Even more generally, this idea can be used to define the distance between two
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The distances between these three sets do not satisfy the triangle inequality:
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of geodesics gives a way of measuring distance from the perspective of an
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One may measure the distance between representative points such as the
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straight-line distances. For example, it can be done directly using a
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between two vertices is measured by the length of the shortest
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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is the distance traveled by a point on the circumference of a
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can refer to a qualitative measurement of separation, such as
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The power of metaphor: Examining its influence on social life
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More generally, the shortest path between two points along a
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of the distances between any two of their respective points:
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Straight-line distance is formalized mathematically as the
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of how far apart objects, points, people, or ideas are. In
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The distance between distinct objects is always positive.
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The distance between an object and itself is always zero.
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in the corresponding geometry, allowing an analog of the
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is a set of ways of measuring extremely long distances.
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Schnall, Simone (2014). "Are there basic metaphors?".
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between them. For example, if the graph represents a
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or other flightless creature living on that surface.
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or everyday usage, distance may refer to a physical
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Information and Telecommunication Technology Center
1665:{\displaystyle d(A,B)=\inf _{x\in A,y\in B}d(x,y).} 67:. Unsourced material may be challenged and removed. 2187:"Construal-level theory of psychological distance" 1664: 1514: 1409: 1085:Other important statistical distances include the 918:, distances between objects depend on a choice of 765: 509: 312: 1614: 1223:describes the separation between individuals or 1840:. For example, the directed distance from the 183:) or a degree of separation (as exemplified by 1573:of a metric space. The distance between sets 869:. This is approximated mathematically by the 2407: 1059:geometrically; this is an example of both an 1015:measure the degree of difference between two 8: 1757:. This is formalized mathematically as the 773:This idea generalizes to higher-dimensional 240:The distance between two points in physical 324:, Euclidean distance is computed using the 154:is a numerical or occasionally qualitative 2414: 2400: 2392: 1284:which takes pairs of points or objects to 815:Shortest-path distance on a curved surface 2330: 2210: 1617: 1590: 1450: 1410:{\displaystyle d(x,z)\leq d(x,y)+d(y,z).} 1342: 1055:), which allows one to analogously study 752: 742: 729: 713: 703: 690: 674: 664: 651: 642: 631: 609: 587: 572: 564: 496: 486: 473: 457: 447: 434: 425: 414: 392: 377: 369: 305: 294: 292: 127:Learn how and when to remove this message 2296:Level set based shape prior segmentation 2010:– physical distance between people 1310:is always the same as the distance from 941: 818: 138: 2078: 1515:{\displaystyle d(A,B)>d(A,C)+d(C,B)} 980:in order to travel between two squares. 2268:. University of Kansas. Archived from 1886:or signed distance field (SDF) is the 1782:). The circumference of the wheel is 7: 2107: 2105: 1425:used in statistics are not metrics. 65:adding citations to reliable sources 1926:inside Ω, it decreases in value as 1852:A starting point: library flag pole 1764:The distance travelled may also be 1288:and satisfies the following rules: 972:, is the minimum number of moves a 968:Chessboard distance, formalized as 230:Straight-line or Euclidean distance 2185:Trope Y, Liberman N (April 2010). 1794:Displacement and directed distance 621: 599: 577: 404: 382: 279:, the distance between two points 25: 2235:"What is displacement? (article)" 1855:An ending point: statue flag pole 1828:quantity with both magnitude and 807:(for very short distances). The 222:Distances in physics and geometry 1871:This section is an excerpt from 1554:distance from a point to a plane 41: 1550:distance from a point to a line 1039:method; this is the most basic 910:, because of phenomena such as 143:A board showing distances near 52:needs additional citations for 1922:has positive values at points 1656: 1644: 1607: 1595: 1527:consist of more than one point 1509: 1497: 1488: 1476: 1467: 1455: 1401: 1389: 1380: 1368: 1359: 1347: 1031:. The most elementary is the 749: 722: 710: 683: 671: 644: 628: 618: 606: 596: 584: 574: 493: 466: 454: 427: 411: 401: 389: 379: 328:. The distance between points 306: 295: 1: 2042:Python (programming language) 1910:determined by whether or not 1421:As an exception, many of the 1057:maximum likelihood estimation 835:going west (top) but use the 27:Separation between two points 2059:Julia (programming language) 1998:Orders of magnitude (length) 1948:Astronomical system of units 1690:is either the distance from 1035:, which is minimized by the 934:to quantify such distances. 926:. In practice, a number of 2138:"Distance Between 2 Points" 1053:Kullback–Leibler divergence 920:inertial frame of reference 2525: 2294:Chan, T.; Zhu, W. (2005). 1882:and its applications, the 1870: 1842:New York City Main Library 1836:) is sometimes called the 1805: 1718: 1258: 1255:Mathematical formalization 1148: 1033:squared Euclidean distance 996: 916:relativity of simultaneity 899: 846: 784: 364:in the plane is given by: 233: 29: 2448: 2429: 2064:Julia Statistics Distance 1963:Distance geometry problem 1702:to the farthest point of 1694:to the farthest point of 1231:along dimensions such as 1173:six degrees of separation 1017:probability distributions 924:expansion of the universe 517:Similarly, given points ( 173:probability distributions 32:Distance (disambiguation) 2049:-Distance computations ( 2014:Signed distance function 1884:signed distance function 1873:Signed distance function 1861:A distance: 8.72 km 1337:are three objects, then 1145:Distance in graph theory 1043:. The most important in 803:(for long distances) or 2375:Dictionary of Distances 2259:"The Directed Distance" 1988:Multiplicative distance 1958:Closeness (mathematics) 1698:, or the distance from 1321:Distance satisfies the 1151:Distance (graph theory) 1076:linear inverse problems 938:Other spatial distances 831:approximately follow a 823:Airline routes between 799:, or indirectly with a 791:There are many ways of 273:three-dimensional space 2051:scipy.spatial.distance 1803: 1745:. This can even be a 1666: 1558:perpendicular distance 1556:, or, more generally, 1522: 1516: 1433: 1411: 1213:psychological distance 1195:In the social sciences 985:Metaphorical distances 950: 844: 809:cosmic distance ladder 767: 511: 314: 216:psychological distance 195:using the notion of a 148: 2304:10.1109/CVPR.2005.212 2118:mathworld.wolfram.com 1983:Engineering tolerance 1808:Displacement (vector) 1801: 1784:2π × radius 1719:Further information: 1667: 1517: 1444: 1437:Distance between sets 1431: 1412: 1139:Jaro–Winkler distance 1013:statistical distances 993:Statistical distances 945: 896:Effects of relativity 871:great-circle distance 822: 768: 512: 315: 142: 18:Distance between sets 2191:Psychological Review 1968:Dijkstra's algorithm 1824:, displacement is a 1589: 1449: 1341: 1302:: the distance from 1127:Levenshtein distance 1087:Mahalanobis distance 1029:statistical manifold 1009:information geometry 999:Statistical distance 908:theory of relativity 863:surface of the Earth 787:Distance measurement 563: 368: 313:{\displaystyle |AB|} 291: 187:between people in a 169:statistical distance 61:improve this article 30:For other uses, see 2275:on 10 November 2016 2112:Weisstein, Eric W. 1993:Optical path length 1943:Absolute difference 1888:orthogonal distance 1539:Earth–Moon distance 1323:triangle inequality 1171:, then the idea of 1080:optimization theory 1072:Pythagorean theorem 849:Geographic distance 326:Pythagorean theorem 322:coordinate geometry 258:Newtonian mechanics 2488:Higher derivatives 2162:"SOCIAL DISTANCES" 2142:www.mathsisfun.com 2019:Similarity measure 1804: 1739:distance travelled 1733:Distance travelled 1710:of a metric space. 1680:Hausdorff distance 1662: 1640: 1523: 1512: 1434: 1407: 1045:information theory 1041:Bregman divergence 1025:geometrical object 970:Chebyshev distance 963:Manhattan distance 951: 947:Manhattan distance 912:length contraction 845: 763: 507: 310: 277:Euclidean geometry 265:Euclidean distance 236:Euclidean distance 149: 2496: 2495: 2341:10.1109/34.368173 2096:10.1037/14278-010 2029:Vertical distance 2024:Social distancing 1890:of a given point 1858:A direction: -38° 1846:Statue of Liberty 1844:flag pole to the 1838:directed distance 1834:relative position 1772:Circular distance 1613: 1275:distance function 928:distance measures 867:as the crow flies 758: 637: 502: 420: 287:is often denoted 254:classical physics 137: 136: 129: 111: 16:(Redirected from 2516: 2416: 2409: 2402: 2393: 2388: 2353: 2352: 2334: 2314: 2308: 2307: 2291: 2285: 2284: 2282: 2280: 2274: 2263: 2255: 2249: 2248: 2246: 2245: 2231: 2225: 2224: 2214: 2203:10.1037/a0018963 2182: 2176: 2175: 2173: 2172: 2158: 2152: 2151: 2149: 2148: 2134: 2128: 2127: 2125: 2124: 2109: 2100: 2099: 2083: 2052: 1953:Color difference 1848:flag pole has: 1789: 1785: 1705: 1701: 1697: 1693: 1689: 1685: 1671: 1669: 1668: 1663: 1639: 1580: 1576: 1562:affine subspaces 1521: 1519: 1518: 1513: 1416: 1414: 1413: 1408: 1336: 1332: 1328: 1317: 1313: 1309: 1305: 1283: 1131:Hamming distance 1103:computer science 1078:in inference by 1049:relative entropy 902:Distance measure 775:Euclidean spaces 772: 770: 769: 764: 759: 757: 756: 747: 746: 734: 733: 718: 717: 708: 707: 695: 694: 679: 678: 669: 668: 656: 655: 643: 638: 636: 635: 614: 613: 592: 591: 573: 516: 514: 513: 508: 503: 501: 500: 491: 490: 478: 477: 462: 461: 452: 451: 439: 438: 426: 421: 419: 418: 397: 396: 378: 363: 345: 319: 317: 316: 311: 309: 298: 286: 282: 132: 125: 121: 118: 112: 110: 69: 45: 37: 21: 2524: 2523: 2519: 2518: 2517: 2515: 2514: 2513: 2499: 2498: 2497: 2492: 2444: 2425: 2420: 2385: 2365: 2362: 2357: 2356: 2316: 2315: 2311: 2293: 2292: 2288: 2278: 2276: 2272: 2261: 2257: 2256: 2252: 2243: 2241: 2233: 2232: 2228: 2184: 2183: 2179: 2170: 2168: 2160: 2159: 2155: 2146: 2144: 2136: 2135: 2131: 2122: 2120: 2111: 2110: 2103: 2085: 2084: 2080: 2075: 2050: 2038: 2036:Library support 2033: 1973:Distance matrix 1938: 1933: 1932: 1931:function/field. 1876: 1868: 1866:Signed distance 1820:quantity, or a 1810: 1796: 1787: 1783: 1747:closed distance 1735: 1723: 1717: 1708:compact subsets 1703: 1699: 1695: 1691: 1687: 1683: 1587: 1586: 1578: 1574: 1447: 1446: 1439: 1339: 1338: 1334: 1330: 1326: 1315: 1311: 1307: 1303: 1281: 1263: 1257: 1221:social distance 1209:social sciences 1205:human geography 1197: 1153: 1147: 1099: 1091:energy distance 1001: 995: 987: 976:must make on a 940: 904: 898: 855: 847:Main articles: 817: 789: 783: 748: 738: 725: 709: 699: 686: 670: 660: 647: 627: 605: 583: 561: 560: 558: 551: 544: 537: 530: 523: 492: 482: 469: 453: 443: 430: 410: 388: 366: 365: 361: 354: 347: 343: 336: 329: 289: 288: 284: 280: 238: 232: 224: 212:social distance 204:social sciences 181:strings of text 133: 122: 116: 113: 70: 68: 58: 46: 35: 28: 23: 22: 15: 12: 11: 5: 2522: 2520: 2512: 2511: 2501: 2500: 2494: 2493: 2491: 2490: 2485: 2480: 2475: 2465: 2455: 2449: 2446: 2445: 2443: 2442: 2430: 2427: 2426: 2421: 2419: 2418: 2411: 2404: 2396: 2390: 2389: 2383: 2361: 2358: 2355: 2354: 2332:10.1.1.33.2443 2325:(2): 158–175. 2309: 2286: 2250: 2226: 2177: 2166:www.hawaii.edu 2153: 2129: 2101: 2077: 2076: 2074: 2071: 2070: 2069: 2068: 2067: 2056: 2055: 2054: 2037: 2034: 2032: 2031: 2026: 2021: 2016: 2011: 2005: 2000: 1995: 1990: 1985: 1980: 1975: 1970: 1965: 1960: 1955: 1950: 1945: 1939: 1937: 1934: 1877: 1869: 1867: 1864: 1863: 1862: 1859: 1856: 1853: 1806:Main article: 1795: 1792: 1761:of the curve. 1734: 1731: 1716: 1713: 1712: 1711: 1675: 1674: 1661: 1658: 1655: 1652: 1649: 1646: 1643: 1638: 1635: 1632: 1629: 1626: 1623: 1620: 1616: 1612: 1609: 1606: 1603: 1600: 1597: 1594: 1566: 1565: 1542: 1535:center of mass 1511: 1508: 1505: 1502: 1499: 1496: 1493: 1490: 1487: 1484: 1481: 1478: 1475: 1472: 1469: 1466: 1463: 1460: 1457: 1454: 1438: 1435: 1419: 1418: 1406: 1403: 1400: 1397: 1394: 1391: 1388: 1385: 1382: 1379: 1376: 1373: 1370: 1367: 1364: 1361: 1358: 1355: 1352: 1349: 1346: 1319: 1296: 1293: 1259:Main article: 1256: 1253: 1196: 1193: 1169:social network 1149:Main article: 1146: 1143: 1119:spell checkers 1098: 1097:Edit distances 1095: 1068:flat manifolds 997:Main article: 994: 991: 986: 983: 982: 981: 966: 939: 936: 900:Main article: 897: 894: 880:is known as a 878:curved surface 859:Earth's mantle 841:map projection 816: 813: 805:interferometry 785:Main article: 782: 779: 762: 755: 751: 745: 741: 737: 732: 728: 724: 721: 716: 712: 706: 702: 698: 693: 689: 685: 682: 677: 673: 667: 663: 659: 654: 650: 646: 641: 634: 630: 626: 623: 620: 617: 612: 608: 604: 601: 598: 595: 590: 586: 582: 579: 576: 571: 568: 556: 549: 542: 535: 528: 521: 506: 499: 495: 489: 485: 481: 476: 472: 468: 465: 460: 456: 450: 446: 442: 437: 433: 429: 424: 417: 413: 409: 406: 403: 400: 395: 391: 387: 384: 381: 376: 373: 359: 352: 341: 334: 308: 304: 301: 297: 234:Main article: 231: 228: 223: 220: 189:social network 135: 134: 49: 47: 40: 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 2521: 2510: 2507: 2506: 2504: 2489: 2486: 2484: 2481: 2479: 2476: 2473: 2469: 2466: 2463: 2459: 2456: 2454: 2451: 2450: 2447: 2440: 2439:Differentiate 2436: 2432: 2431: 2428: 2424: 2417: 2412: 2410: 2405: 2403: 2398: 2397: 2394: 2386: 2384:0-444-52087-2 2380: 2376: 2372: 2368: 2364: 2363: 2359: 2350: 2346: 2342: 2338: 2333: 2328: 2324: 2320: 2313: 2310: 2305: 2301: 2297: 2290: 2287: 2271: 2267: 2260: 2254: 2251: 2240: 2236: 2230: 2227: 2222: 2218: 2213: 2208: 2204: 2200: 2197:(2): 440–63. 2196: 2192: 2188: 2181: 2178: 2167: 2163: 2157: 2154: 2143: 2139: 2133: 2130: 2119: 2115: 2108: 2106: 2102: 2097: 2093: 2089: 2082: 2079: 2072: 2065: 2062: 2061: 2060: 2057: 2048: 2045: 2044: 2043: 2040: 2039: 2035: 2030: 2027: 2025: 2022: 2020: 2017: 2015: 2012: 2009: 2006: 2004: 2003:Proper length 2001: 1999: 1996: 1994: 1991: 1989: 1986: 1984: 1981: 1979: 1976: 1974: 1971: 1969: 1966: 1964: 1961: 1959: 1956: 1954: 1951: 1949: 1946: 1944: 1941: 1940: 1935: 1929: 1925: 1921: 1917: 1913: 1909: 1905: 1901: 1897: 1893: 1889: 1885: 1881: 1874: 1865: 1860: 1857: 1854: 1851: 1850: 1849: 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1107:edit distance 1104: 1096: 1094: 1092: 1088: 1083: 1081: 1077: 1073: 1069: 1065: 1063: 1058: 1054: 1050: 1046: 1042: 1038: 1037:least squares 1034: 1030: 1026: 1022: 1018: 1014: 1010: 1006: 1000: 992: 990: 984: 979: 975: 971: 967: 964: 960: 956: 955: 954: 948: 944: 937: 935: 933: 929: 925: 921: 917: 913: 909: 903: 895: 893: 891: 887: 883: 879: 874: 873:on a sphere. 872: 868: 864: 860: 854: 850: 842: 838: 834: 830: 826: 821: 814: 812: 810: 806: 802: 798: 794: 788: 780: 778: 776: 760: 753: 743: 739: 735: 730: 726: 719: 714: 704: 700: 696: 691: 687: 680: 675: 665: 661: 657: 652: 648: 639: 632: 624: 615: 610: 602: 593: 588: 580: 569: 566: 555: 548: 541: 534: 527: 520: 504: 497: 487: 483: 479: 474: 470: 463: 458: 448: 444: 440: 435: 431: 422: 415: 407: 398: 393: 385: 374: 371: 358: 351: 340: 333: 327: 323: 302: 299: 278: 274: 270: 266: 261: 259: 255: 251: 250:straight line 247: 243: 237: 229: 227: 221: 219: 217: 213: 209: 205: 200: 198: 194: 190: 186: 182: 178: 177:edit distance 174: 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