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Order of approximation

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1881:
only worry about at the annual calibration.") In this usage, the ordinality of the approximation is not exact, but is used to emphasize its insignificance; the higher the number used, the less important the effect. The terminology, in this context, represents a high level of precision required to account for an effect which is inferred to be very small when compared to the overall subject matter. The higher the order, the more precision is required to measure the effect, and therefore the smallness of the effect in comparison to the overall measurement.
40: 155: 662: 1679:, residents") is generally given. As in the examples above, the term "2nd order" refers to the number of exact numerals given for the imprecise quantity. In this case, "3" and "9" are given as the two successive levels of precision, instead of simply the "4" from the first order, or "a few" from the zeroth order found in the examples above. 444: 1880:
by scientists and engineers to describe phenomena that can be neglected as not significant (e.g. "Of course the rotation of the Earth affects our experiment, but it's such a high-order effect that we wouldn't be able to measure it." or "At these velocities, relativity is a fourth-order effect that we
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is an approximate fit to the data. In this example there is a zeroth-order approximation that is the same as the first-order, but the method of getting there is different; i.e. a wild stab in the dark at a relationship happened to be as good as an "educated guess".
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is an approximate fit to the data. In this case, with only three data points, a parabola is an exact fit based on the data provided. However, the data points for most of the interval are not available, which advises caution (see "zeroth order").
657:{\displaystyle e^{x}=\underbrace {1} _{0^{\text{th}}}+\underbrace {x} _{1^{\text{st}}}+\underbrace {\frac {x^{2}}{2!}} _{2^{\text{nd}}}+\underbrace {\frac {x^{3}}{3!}} _{3^{\text{rd}}}+\underbrace {\frac {x^{4}}{4!}} _{4^{\text{th}}}+\ldots \;,} 1502:
A first-order approximation of a function (that is, mathematically determining a formula to fit multiple data points) will be a linear approximation, straight line with a slope: a polynomial of degree 1. For example:
1499:, residents"). In the case of a first-order approximation, at least one number given is exact. In the zeroth-order example above, the quantity "a few" was given, but in the first-order example, the number "4" is given. 1487:
is the term scientists use for a slightly better answer. Some simplifying assumptions are made, and when a number is needed, an answer with only one significant figure is often given ("the town has
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One should be careful though, because the multiplicative function will be defined for the whole interval. If only three data points are available, one has no knowledge about the rest of the
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is the term scientists use for a decent-quality answer. Few simplifying assumptions are made, and when a number is needed, an answer with two or more significant figures ("the town has
371:. Higher order of approximation is not always more useful than the lower one. For example, if a quantity is constant within the whole interval, approximating it with a second-order 1847: 1647: 867: 1409: 1226: 1024: 825: 1447: 1247:. Thus quoting an average value containing three significant digits in the output with just one significant digit in the input data could be recognized as an example of 785: 746: 968: 896: 1786: 1738: 1599: 1551: 1362: 1314: 1184: 1136: 939: 919: 708: 685: 1460:
could have another component which equals 0 at the ends and in the middle of the interval. A number of functions having this property are known, for example
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While higher-order approximations exist and are crucial to a better understanding and description of reality, they are not typically referred to by number.
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approximation. The zero of "zeroth-order" represents the fact that even the only number given, "a few", is itself loosely defined.
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A second-order approximation of a function (that is, mathematically determining a formula to fit multiple data points) will be a
17: 1905: 2497: 2251: 1251:. With the implied accuracy of the data points of ±0.5, the zeroth order approximation could at best yield the result for 2049: 830: 1864:
Continuing the above, a third-order approximation would be required to perfectly fit four data points, and so on. See
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The accuracy of the result justifies an attempt to derive a multiplicative function for that average, for example,
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could be – if data point accuracy were reported – an approximate fit to the data, obtained by simply averaging the
364: 2990: 2922: 2547: 2402: 2370: 2129: 336:. However, this may be confusing, as these formal expressions do not directly refer to the order of derivatives. 1244: 2623: 2600: 2315: 1966: 1949: 2713: 2651: 2446: 2320: 1992: 438: 129: 3053: 2199: 2177: 59: 3022: 1792: 3058: 3007: 2773: 2387: 2209: 177: 2392: 2162: 1605: 1373: 2811: 2758: 1190: 973: 790: 2219: 1240: 2927: 2698: 2246: 1985: 1865: 1420: 233: 173: 122: 237: 2693: 2365: 249: 2821: 2703: 2524: 2472: 2278: 2256: 1473: 1453: 1077: 1061: 751: 410: 391: 356: 352: 713: 2947: 2806: 2718: 2375: 2310: 2283: 2273: 2194: 2182: 2167: 2139: 1053:
residents", when it has 3,914 people in actuality. This is also sometimes referred to as an
2763: 2382: 2229: 1683: 402: 110: 100: 944: 872: 8: 2783: 2708: 2595: 2552: 2303: 2288: 2119: 2107: 2094: 2054: 2034: 1895: 1744: 1696: 1557: 1509: 1320: 1272: 1142: 1094: 434: 430: 165: 79: 924: 901: 690: 667: 397:, which is obtained by truncating the Taylor series to this degree. The formal usage of 2872: 2847: 2678: 2631: 2572: 2537: 2532: 2512: 2507: 2502: 2467: 2414: 2397: 2298: 2172: 2157: 2102: 2069: 1260: 1081: 1054: 1046: 333: 329: 3012: 2836: 2768: 2590: 2567: 2441: 2434: 2337: 2152: 2044: 1933: 1042: 340: 39: 2970: 2753: 2666: 2646: 2577: 2487: 2429: 2421: 2355: 2268: 2029: 2024: 406: 282: 245: 344: 3032: 3017: 2801: 2656: 2636: 2605: 2582: 2562: 2456: 2112: 2059: 1248: 379: 74: 2942: 2841: 2688: 2641: 2542: 2345: 1910: 241: 64: 2360: 3047: 2816: 2671: 2557: 2261: 2236: 1900: 1890: 1877: 1469: 1045:
are made, and when a number is needed, an order-of-magnitude answer (or zero
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is expected to indicate progressively more refined approximations of a
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etc.) used above meaning do not directly give information about
413:. The error usually varies within the interval. Thus the terms ( 3000: 2064: 301: 2079: 1971:
in Online Dictionary and Translations Webster-dictionary.org.
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in Online Dictionary and Translations Webster-dictionary.org.
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refers to formal or informal expressions for how accurate an
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in Webster's Third New International Dictionary, Könemann,
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each higher order term is smaller than the previous. If
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to devise a new application or, on the contrary, try to
359:. The choice of order of approximation depends on the 1795: 1747: 1699: 1608: 1560: 1512: 1423: 1376: 1323: 1275: 1193: 1145: 1097: 976: 947: 927: 904: 875: 833: 793: 754: 716: 693: 670: 447: 1456:, which may be a large part of it. This means that 328:is sometimes informally used to mean the number of 227: 1841: 1780: 1732: 1641: 1593: 1545: 1441: 1403: 1356: 1308: 1220: 1178: 1130: 1018: 962: 933: 913: 890: 861: 819: 779: 740: 702: 679: 656: 401:corresponds to the omission of some terms of the 3045: 1690:: a polynomial of degree 2. For example: 339:The choice of series expansion depends on the 1993: 332:, in increasing order of accuracy, or to the 285:are occasionally used in expressions like an 130: 304:that have less formal meaning. Phrases like 176:. There might be a discussion about this on 1255:of ~3.7 ± 2.0 in the interval of 921:is not smaller than the zeroth-order term, 2000: 1986: 1367:the zeroth-order approximation results in 650: 137: 123: 3028:Regiomontanus' angle maximization problem 1088:: a polynomial of degree 0. For example, 1026:is greater than the zeroth-order term. 1015: 816: 314:a roughly approximate value of a quantity 196:Learn how and when to remove this message 2871: 2376:Differentiating under the integral sign 1239:values. However, data points represent 14: 3046: 216:, and other quantitative disciplines, 27:Expressions for approximation accuracy 2252:Inverse functions and differentiation 1981: 1962: 1960: 1842:{\displaystyle y\sim f(x)=x^{2}-x+3} 1266:If the data points are reported as 827:then the first order approximation, 148: 1871: 1041:use for a first rough answer. Many 363:. One may wish to simplify a known 24: 2050:Free variables and bound variables 1259:from −0.5 to 2.5, considering the 1060:A zeroth-order approximation of a 25: 3070: 2855:The Method of Mechanical Theorems 1957: 1642:{\displaystyle y\sim f(x)=x+2.67} 862:{\displaystyle e^{x}\approx 1+x,} 375:will not increase the accuracy. 2410:Partial fractions in integration 2326:Stochastic differential equation 1404:{\displaystyle y\sim f(x)=3.67.} 228:Usage in science and engineering 153: 38: 2548:Jacobian matrix and determinant 2403:Tangent half-angle substitution 2371:Fundamental theorem of calculus 1856: 1659: 1472:is useful and helps predict an 1221:{\displaystyle y\sim f(x)=3.67} 1029: 1019:{\displaystyle 2^{3}/3!=4/3,\,} 820:{\displaystyle |x|<<1,\,} 2624:Arithmetico-geometric sequence 2316:Ordinary differential equation 1943: 1923: 1811: 1805: 1772: 1754: 1724: 1706: 1624: 1618: 1585: 1567: 1537: 1519: 1479: 1392: 1386: 1348: 1330: 1300: 1282: 1209: 1203: 1170: 1152: 1122: 1104: 803: 795: 764: 756: 13: 1: 2447:Integro-differential equation 2321:Partial differential equation 1916: 1442:{\displaystyle y\sim x+2.67.} 869:is often sufficient. But at 2007: 1245:points in Euclidean geometry 970:even the second-order term, 386:th-order approximation is a 7: 2601:Generalized Stokes' theorem 2388:Integration by substitution 1884: 273:, and so forth are used as 232:In formal expressions, the 10: 3075: 2130:(ε, δ)-definition of limit 1876:These terms are also used 1665:Second-order approximation 1035:Zeroth-order approximation 369:fit a curve to data points 3023:Proof that 22/7 exceeds π 2960: 2938: 2864: 2812:Gottfried Wilhelm Leibniz 2782: 2759:e (mathematical constant) 2744: 2616: 2523: 2455: 2336: 2138: 2093: 2015: 1968:to a zeroth approximation 1485:First-order approximation 780:{\displaystyle |x|<1,} 664:the zeroth-order term is 318:to a zeroth approximation 296:The omission of the word 2774:Stirling's approximation 2247:Implicit differentiation 2195:Rules of differentiation 1951:to a first approximation 1866:polynomial interpolation 1243:and they do differ from 741:{\displaystyle x^{2}/2,} 687:the first-order term is 310:to a first approximation 287:order-zero approximation 279:zero-order approximation 3008:Euler–Maclaurin formula 2913:trigonometric functions 2366:Constant of integration 1241:results of measurements 1043:simplifying assumptions 291:order-one approximation 55:Orders of approximation 18:Orders of approximation 2977:Differential geometry 2822:Infinitesimal calculus 2525:Multivariable calculus 2473:Directional derivative 2279:Second derivative test 2257:Logarithmic derivative 2230:General Leibniz's rule 2125:Order of approximation 1843: 1782: 1734: 1643: 1595: 1547: 1443: 1405: 1358: 1310: 1222: 1180: 1132: 1020: 964: 935: 915: 898:the first-order term, 892: 863: 821: 781: 742: 704: 681: 658: 433:. For example, in the 399:order of approximation 349:order of approximation 343:used to investigate a 326:order of approximation 252:. The expressions: a 240:refers to the highest 218:order of approximation 2896:logarithmic functions 2891:exponential functions 2807:Generality of algebra 2685:Tests of convergence 2311:Differential equation 2295:Further applications 2284:Extreme value theorem 2274:First derivative test 2168:Differential operator 2140:Differential calculus 1906:Chapman–Enskog method 1844: 1783: 1735: 1644: 1596: 1548: 1444: 1406: 1359: 1311: 1223: 1181: 1133: 1021: 965: 936: 916: 893: 864: 822: 782: 743: 705: 682: 659: 236:used before the word 2961:Miscellaneous topics 2901:hyperbolic functions 2886:irrational functions 2764:Exponential function 2617:Sequences and series 2383:Integration by parts 1793: 1745: 1697: 1684:quadratic polynomial 1606: 1558: 1510: 1421: 1374: 1321: 1273: 1191: 1143: 1095: 974: 963:{\displaystyle x=2,} 945: 925: 902: 891:{\displaystyle x=1,} 873: 831: 791: 752: 714: 691: 668: 445: 439:exponential function 166:confusing or unclear 111:Scientific modelling 101:Generalization error 3054:Perturbation theory 2948:List of derivatives 2784:History of calculus 2699:Cauchy condensation 2596:Exterior derivative 2553:Lagrange multiplier 2289:Maximum and minimum 2120:Limit of a sequence 2108:Limit of a function 2055:Graph of a function 2035:Continuous function 1930:first approximation 1896:Perturbation theory 1781:{\displaystyle y=,} 1733:{\displaystyle x=,} 1686:, geometrically, a 1677:thirty-nine hundred 1594:{\displaystyle y=,} 1546:{\displaystyle x=,} 1357:{\displaystyle y=,} 1309:{\displaystyle x=,} 1179:{\displaystyle y=,} 1131:{\displaystyle x=,} 1047:significant figures 431:significant figures 365:analytic expression 330:significant figures 306:first approximation 277:. The expression a 174:clarify the article 80:Significant figures 3059:Numerical analysis 2881:rational functions 2848:Method of Fluxions 2694:Alternating series 2591:Differential forms 2573:Partial derivative 2533:Divergence theorem 2415:Quadratic integral 2183:Leibniz's notation 2173:Mean value theorem 2158:Partial derivative 2103:Indeterminate form 1839: 1778: 1730: 1639: 1591: 1543: 1439: 1401: 1354: 1306: 1261:standard deviation 1218: 1176: 1128: 1055:order-of-magnitude 1016: 960: 934:{\displaystyle 1.} 931: 914:{\displaystyle x,} 911: 888: 859: 817: 777: 738: 703:{\displaystyle x,} 700: 680:{\displaystyle 1;} 677: 654: 643: 629: 599: 585: 555: 541: 511: 497: 484: 470: 334:order of magnitude 324:. The expression 88:Other fundamentals 3041: 3040: 2967:Complex calculus 2956: 2955: 2837:Law of Continuity 2769:Natural logarithm 2754:Bernoulli numbers 2745:Special functions 2704:Direct comparison 2568:Multiple integral 2442:Integral equation 2338:Integral calculus 2269:Stationary points 2243:Other techniques 2188:Newton's notation 2153:Second derivative 2045:Finite difference 1474:analytic solution 748:and so forth. If 639: 625: 605: 603: 595: 581: 561: 559: 551: 537: 517: 515: 507: 490: 488: 480: 463: 461: 437:expansion of the 378:In the case of a 347:. The expression 341:scientific method 283:Cardinal numerals 206: 205: 198: 147: 146: 106:Taylor polynomial 33:Fit approximation 16:(Redirected from 3066: 2971:Contour integral 2869: 2868: 2719:Limit comparison 2628:Types of series 2587:Advanced topics 2578:Surface integral 2422:Trapezoidal rule 2361:Basic properties 2356:Riemann integral 2304:Taylor's theorem 2030:Concave function 2025:Binomial theorem 2002: 1995: 1988: 1979: 1978: 1972: 1964: 1955: 1947: 1941: 1927: 1872:Colloquial usage 1848: 1846: 1845: 1840: 1826: 1825: 1787: 1785: 1784: 1779: 1739: 1737: 1736: 1731: 1674: 1672: 1648: 1646: 1645: 1640: 1600: 1598: 1597: 1592: 1552: 1550: 1549: 1544: 1494: 1492: 1448: 1446: 1445: 1440: 1410: 1408: 1407: 1402: 1363: 1361: 1360: 1355: 1315: 1313: 1312: 1307: 1227: 1225: 1224: 1219: 1185: 1183: 1182: 1177: 1137: 1135: 1134: 1129: 1072:to fit multiple 1025: 1023: 1022: 1017: 1008: 991: 986: 985: 969: 967: 966: 961: 940: 938: 937: 932: 920: 918: 917: 912: 897: 895: 894: 889: 868: 866: 865: 860: 843: 842: 826: 824: 823: 818: 806: 798: 786: 784: 783: 778: 767: 759: 747: 745: 744: 739: 731: 726: 725: 710:second-order is 709: 707: 706: 701: 686: 684: 683: 678: 663: 661: 660: 655: 642: 641: 640: 637: 630: 624: 616: 615: 606: 598: 597: 596: 593: 586: 580: 572: 571: 562: 554: 553: 552: 549: 542: 536: 528: 527: 518: 510: 509: 508: 505: 498: 483: 482: 481: 478: 471: 457: 456: 361:research purpose 281:is also common. 246:series expansion 201: 194: 190: 187: 181: 157: 156: 149: 139: 132: 125: 42: 30: 29: 21: 3074: 3073: 3069: 3068: 3067: 3065: 3064: 3063: 3044: 3043: 3042: 3037: 3033:Steinmetz solid 3018:Integration Bee 2952: 2934: 2860: 2802:Colin Maclaurin 2778: 2746: 2740: 2612: 2606:Tensor calculus 2583:Volume integral 2519: 2494:Basic theorems 2457:Vector calculus 2451: 2332: 2299:Newton's method 2134: 2113:One-sided limit 2089: 2070:Rolle's theorem 2060:Linear function 2011: 2006: 1976: 1975: 1965: 1958: 1948: 1944: 1928: 1924: 1919: 1887: 1874: 1859: 1821: 1817: 1794: 1791: 1790: 1746: 1743: 1742: 1698: 1695: 1694: 1670: 1668: 1662: 1656: 1607: 1604: 1603: 1559: 1556: 1555: 1511: 1508: 1507: 1490: 1488: 1482: 1422: 1419: 1418: 1375: 1372: 1371: 1322: 1319: 1318: 1274: 1271: 1270: 1249:false precision 1235:values and the 1192: 1189: 1188: 1144: 1141: 1140: 1096: 1093: 1092: 1032: 1004: 987: 981: 977: 975: 972: 971: 946: 943: 942: 926: 923: 922: 903: 900: 899: 874: 871: 870: 838: 834: 832: 829: 828: 802: 794: 792: 789: 788: 763: 755: 753: 750: 749: 727: 721: 717: 715: 712: 711: 692: 689: 688: 669: 666: 665: 636: 632: 631: 617: 611: 607: 604: 592: 588: 587: 573: 567: 563: 560: 548: 544: 543: 529: 523: 519: 516: 504: 500: 499: 489: 477: 473: 472: 462: 452: 448: 446: 443: 442: 409:. This affects 380:smooth function 355:in a specified 230: 202: 191: 185: 182: 171: 158: 154: 143: 75:False precision 28: 23: 22: 15: 12: 11: 5: 3072: 3062: 3061: 3056: 3039: 3038: 3036: 3035: 3030: 3025: 3020: 3015: 3013:Gabriel's horn 3010: 3005: 3004: 3003: 2998: 2993: 2988: 2983: 2975: 2974: 2973: 2964: 2962: 2958: 2957: 2954: 2953: 2951: 2950: 2945: 2943:List of limits 2939: 2936: 2935: 2933: 2932: 2931: 2930: 2925: 2920: 2910: 2909: 2908: 2898: 2893: 2888: 2883: 2877: 2875: 2866: 2862: 2861: 2859: 2858: 2851: 2844: 2842:Leonhard Euler 2839: 2834: 2829: 2824: 2819: 2814: 2809: 2804: 2799: 2794: 2788: 2786: 2780: 2779: 2777: 2776: 2771: 2766: 2761: 2756: 2750: 2748: 2742: 2741: 2739: 2738: 2737: 2736: 2731: 2726: 2721: 2716: 2711: 2706: 2701: 2696: 2691: 2683: 2682: 2681: 2676: 2675: 2674: 2669: 2659: 2654: 2649: 2644: 2639: 2634: 2626: 2620: 2618: 2614: 2613: 2611: 2610: 2609: 2608: 2603: 2598: 2593: 2585: 2580: 2575: 2570: 2565: 2560: 2555: 2550: 2545: 2543:Hessian matrix 2540: 2535: 2529: 2527: 2521: 2520: 2518: 2517: 2516: 2515: 2510: 2505: 2500: 2498:Line integrals 2492: 2491: 2490: 2485: 2480: 2475: 2470: 2461: 2459: 2453: 2452: 2450: 2449: 2444: 2439: 2438: 2437: 2432: 2424: 2419: 2418: 2417: 2407: 2406: 2405: 2400: 2395: 2385: 2380: 2379: 2378: 2368: 2363: 2358: 2353: 2348: 2346:Antiderivative 2342: 2340: 2334: 2333: 2331: 2330: 2329: 2328: 2323: 2318: 2308: 2307: 2306: 2301: 2293: 2292: 2291: 2286: 2281: 2276: 2266: 2265: 2264: 2259: 2254: 2249: 2241: 2240: 2239: 2234: 2233: 2232: 2222: 2217: 2212: 2207: 2202: 2192: 2191: 2190: 2185: 2175: 2170: 2165: 2160: 2155: 2150: 2144: 2142: 2136: 2135: 2133: 2132: 2127: 2122: 2117: 2116: 2115: 2105: 2099: 2097: 2091: 2090: 2088: 2087: 2082: 2077: 2072: 2067: 2062: 2057: 2052: 2047: 2042: 2037: 2032: 2027: 2021: 2019: 2013: 2012: 2005: 2004: 1997: 1990: 1982: 1974: 1973: 1956: 1942: 1921: 1920: 1918: 1915: 1914: 1913: 1911:Big O notation 1908: 1903: 1898: 1893: 1886: 1883: 1873: 1870: 1858: 1855: 1850: 1849: 1838: 1835: 1832: 1829: 1824: 1820: 1816: 1813: 1810: 1807: 1804: 1801: 1798: 1788: 1777: 1774: 1771: 1768: 1765: 1762: 1759: 1756: 1753: 1750: 1740: 1729: 1726: 1723: 1720: 1717: 1714: 1711: 1708: 1705: 1702: 1661: 1658: 1650: 1649: 1638: 1635: 1632: 1629: 1626: 1623: 1620: 1617: 1614: 1611: 1601: 1590: 1587: 1584: 1581: 1578: 1575: 1572: 1569: 1566: 1563: 1553: 1542: 1539: 1536: 1533: 1530: 1527: 1524: 1521: 1518: 1515: 1481: 1478: 1450: 1449: 1438: 1435: 1432: 1429: 1426: 1412: 1411: 1400: 1397: 1394: 1391: 1388: 1385: 1382: 1379: 1365: 1364: 1353: 1350: 1347: 1344: 1341: 1338: 1335: 1332: 1329: 1326: 1316: 1305: 1302: 1299: 1296: 1293: 1290: 1287: 1284: 1281: 1278: 1229: 1228: 1217: 1214: 1211: 1208: 1205: 1202: 1199: 1196: 1186: 1175: 1172: 1169: 1166: 1163: 1160: 1157: 1154: 1151: 1148: 1138: 1127: 1124: 1121: 1118: 1115: 1112: 1109: 1106: 1103: 1100: 1068:determining a 1066:mathematically 1051:a few thousand 1031: 1028: 1014: 1011: 1007: 1003: 1000: 997: 994: 990: 984: 980: 959: 956: 953: 950: 930: 910: 907: 887: 884: 881: 878: 858: 855: 852: 849: 846: 841: 837: 815: 812: 809: 805: 801: 797: 776: 773: 770: 766: 762: 758: 737: 734: 730: 724: 720: 699: 696: 676: 673: 653: 649: 646: 635: 628: 623: 620: 614: 610: 602: 591: 584: 579: 576: 570: 566: 558: 547: 540: 535: 532: 526: 522: 514: 503: 496: 493: 487: 476: 469: 466: 460: 455: 451: 316:. The phrase 234:ordinal number 229: 226: 204: 203: 161: 159: 152: 145: 144: 142: 141: 134: 127: 119: 116: 115: 114: 113: 108: 103: 98: 90: 89: 85: 84: 83: 82: 77: 72: 67: 65:Big O notation 62: 60:Scale analysis 57: 49: 48: 44: 43: 35: 34: 26: 9: 6: 4: 3: 2: 3071: 3060: 3057: 3055: 3052: 3051: 3049: 3034: 3031: 3029: 3026: 3024: 3021: 3019: 3016: 3014: 3011: 3009: 3006: 3002: 2999: 2997: 2994: 2992: 2989: 2987: 2984: 2982: 2979: 2978: 2976: 2972: 2969: 2968: 2966: 2965: 2963: 2959: 2949: 2946: 2944: 2941: 2940: 2937: 2929: 2926: 2924: 2921: 2919: 2916: 2915: 2914: 2911: 2907: 2904: 2903: 2902: 2899: 2897: 2894: 2892: 2889: 2887: 2884: 2882: 2879: 2878: 2876: 2874: 2870: 2867: 2863: 2857: 2856: 2852: 2850: 2849: 2845: 2843: 2840: 2838: 2835: 2833: 2830: 2828: 2825: 2823: 2820: 2818: 2817:Infinitesimal 2815: 2813: 2810: 2808: 2805: 2803: 2800: 2798: 2795: 2793: 2790: 2789: 2787: 2785: 2781: 2775: 2772: 2770: 2767: 2765: 2762: 2760: 2757: 2755: 2752: 2751: 2749: 2743: 2735: 2732: 2730: 2727: 2725: 2722: 2720: 2717: 2715: 2712: 2710: 2707: 2705: 2702: 2700: 2697: 2695: 2692: 2690: 2687: 2686: 2684: 2680: 2677: 2673: 2670: 2668: 2665: 2664: 2663: 2660: 2658: 2655: 2653: 2650: 2648: 2645: 2643: 2640: 2638: 2635: 2633: 2630: 2629: 2627: 2625: 2622: 2621: 2619: 2615: 2607: 2604: 2602: 2599: 2597: 2594: 2592: 2589: 2588: 2586: 2584: 2581: 2579: 2576: 2574: 2571: 2569: 2566: 2564: 2561: 2559: 2558:Line integral 2556: 2554: 2551: 2549: 2546: 2544: 2541: 2539: 2536: 2534: 2531: 2530: 2528: 2526: 2522: 2514: 2511: 2509: 2506: 2504: 2501: 2499: 2496: 2495: 2493: 2489: 2486: 2484: 2481: 2479: 2476: 2474: 2471: 2469: 2466: 2465: 2463: 2462: 2460: 2458: 2454: 2448: 2445: 2443: 2440: 2436: 2433: 2431: 2430:Washer method 2428: 2427: 2425: 2423: 2420: 2416: 2413: 2412: 2411: 2408: 2404: 2401: 2399: 2396: 2394: 2393:trigonometric 2391: 2390: 2389: 2386: 2384: 2381: 2377: 2374: 2373: 2372: 2369: 2367: 2364: 2362: 2359: 2357: 2354: 2352: 2349: 2347: 2344: 2343: 2341: 2339: 2335: 2327: 2324: 2322: 2319: 2317: 2314: 2313: 2312: 2309: 2305: 2302: 2300: 2297: 2296: 2294: 2290: 2287: 2285: 2282: 2280: 2277: 2275: 2272: 2271: 2270: 2267: 2263: 2262:Related rates 2260: 2258: 2255: 2253: 2250: 2248: 2245: 2244: 2242: 2238: 2235: 2231: 2228: 2227: 2226: 2223: 2221: 2218: 2216: 2213: 2211: 2208: 2206: 2203: 2201: 2198: 2197: 2196: 2193: 2189: 2186: 2184: 2181: 2180: 2179: 2176: 2174: 2171: 2169: 2166: 2164: 2161: 2159: 2156: 2154: 2151: 2149: 2146: 2145: 2143: 2141: 2137: 2131: 2128: 2126: 2123: 2121: 2118: 2114: 2111: 2110: 2109: 2106: 2104: 2101: 2100: 2098: 2096: 2092: 2086: 2083: 2081: 2078: 2076: 2073: 2071: 2068: 2066: 2063: 2061: 2058: 2056: 2053: 2051: 2048: 2046: 2043: 2041: 2038: 2036: 2033: 2031: 2028: 2026: 2023: 2022: 2020: 2018: 2014: 2010: 2003: 1998: 1996: 1991: 1989: 1984: 1983: 1980: 1970: 1969: 1963: 1961: 1953: 1952: 1946: 1939: 1938:3-8290-5292-8 1935: 1931: 1926: 1922: 1912: 1909: 1907: 1904: 1902: 1901:Taylor series 1899: 1897: 1894: 1892: 1891:Linearization 1889: 1888: 1882: 1879: 1869: 1867: 1862: 1854: 1836: 1833: 1830: 1827: 1822: 1818: 1814: 1808: 1802: 1799: 1796: 1789: 1775: 1769: 1766: 1763: 1760: 1757: 1751: 1748: 1741: 1727: 1721: 1718: 1715: 1712: 1709: 1703: 1700: 1693: 1692: 1691: 1689: 1685: 1680: 1678: 1666: 1657: 1654: 1636: 1633: 1630: 1627: 1621: 1615: 1612: 1609: 1602: 1588: 1582: 1579: 1576: 1573: 1570: 1564: 1561: 1554: 1540: 1534: 1531: 1528: 1525: 1522: 1516: 1513: 1506: 1505: 1504: 1500: 1498: 1497:four thousand 1486: 1477: 1475: 1471: 1470:Taylor series 1467: 1463: 1459: 1455: 1436: 1433: 1430: 1427: 1424: 1417: 1416: 1415: 1398: 1395: 1389: 1383: 1380: 1377: 1370: 1369: 1368: 1351: 1345: 1342: 1339: 1336: 1333: 1327: 1324: 1317: 1303: 1297: 1294: 1291: 1288: 1285: 1279: 1276: 1269: 1268: 1267: 1264: 1262: 1258: 1254: 1250: 1246: 1242: 1238: 1234: 1215: 1212: 1206: 1200: 1197: 1194: 1187: 1173: 1167: 1164: 1161: 1158: 1155: 1149: 1146: 1139: 1125: 1119: 1116: 1113: 1110: 1107: 1101: 1098: 1091: 1090: 1089: 1087: 1083: 1079: 1075: 1071: 1067: 1063: 1058: 1056: 1052: 1048: 1044: 1040: 1036: 1027: 1012: 1009: 1005: 1001: 998: 995: 992: 988: 982: 978: 957: 954: 951: 948: 928: 908: 905: 885: 882: 879: 876: 856: 853: 850: 847: 844: 839: 835: 813: 810: 807: 799: 774: 771: 768: 760: 735: 732: 728: 722: 718: 697: 694: 674: 671: 651: 647: 644: 633: 626: 621: 618: 612: 608: 600: 589: 582: 577: 574: 568: 564: 556: 545: 538: 533: 530: 524: 520: 512: 501: 494: 491: 485: 474: 467: 464: 458: 453: 449: 440: 436: 435:Taylor series 432: 428: 427:percent error 424: 420: 416: 412: 408: 404: 400: 396: 393: 389: 385: 381: 376: 374: 373:Taylor series 370: 366: 362: 358: 354: 350: 346: 342: 337: 335: 331: 327: 323: 319: 315: 312:may refer to 311: 307: 303: 299: 294: 292: 288: 284: 280: 276: 275:fixed phrases 272: 271:approximation 270: 265: 264:approximation 263: 258: 257:approximation 256: 251: 250:approximation 247: 243: 239: 235: 225: 223: 222:approximation 219: 215: 211: 200: 197: 189: 179: 178:the talk page 175: 169: 167: 162:This article 160: 151: 150: 140: 135: 133: 128: 126: 121: 120: 118: 117: 112: 109: 107: 104: 102: 99: 97: 96:Approximation 94: 93: 92: 91: 87: 86: 81: 78: 76: 73: 71: 70:Curve fitting 68: 66: 63: 61: 58: 56: 53: 52: 51: 50: 46: 45: 41: 37: 36: 32: 31: 19: 2928:Secant cubed 2853: 2846: 2827:Isaac Newton 2797:Brook Taylor 2464:Derivatives 2435:Shell method 2163:Differential 2124: 1967: 1950: 1945: 1929: 1925: 1878:colloquially 1875: 1863: 1860: 1857:Higher-order 1851: 1681: 1676: 1664: 1663: 1660:Second-order 1655: 1651: 1501: 1496: 1484: 1483: 1465: 1461: 1457: 1451: 1413: 1366: 1265: 1256: 1252: 1236: 1232: 1230: 1080:, or a flat 1059: 1050: 1037:is the term 1034: 1033: 1030:Zeroth-order 422: 418: 414: 405:used in the 398: 394: 383: 377: 348: 338: 325: 322:a wild guess 321: 317: 313: 309: 305: 297: 295: 290: 286: 278: 269:second-order 268: 267: 261: 260: 255:zeroth-order 254: 253: 248:used in the 231: 217: 207: 192: 183: 172:Please help 163: 54: 2996:of surfaces 2747:and numbers 2709:Dirichlet's 2679:Telescoping 2632:Alternating 2220:L'Hôpital's 2017:Precalculus 1480:First-order 1074:data points 262:first-order 214:engineering 3048:Categories 2792:Adequality 2478:Divergence 2351:Arc length 2148:Derivative 1917:References 1076:) will be 1064:(that is, 1039:scientists 388:polynomial 345:phenomenon 320:indicates 186:March 2016 168:to readers 2991:of curves 2986:Curvature 2873:Integrals 2667:Maclaurin 2647:Geometric 2538:Geometric 2488:Laplacian 2200:linearity 2040:Factorial 1828:− 1800:∼ 1613:∼ 1428:∼ 1381:∼ 1198:∼ 845:≈ 648:… 627:⏟ 583:⏟ 539:⏟ 495:⏟ 468:⏟ 407:expansion 300:leads to 2981:Manifold 2714:Integral 2657:Infinite 2652:Harmonic 2637:Binomial 2483:Gradient 2426:Volumes 2237:Quotient 2178:Notation 2009:Calculus 1885:See also 1688:parabola 1454:interval 1084:with no 1078:constant 1062:function 808:<< 411:accuracy 357:interval 353:function 47:Concepts 2918:inverse 2906:inverse 2832:Fluxion 2642:Fourier 2508:Stokes' 2503:Green's 2225:Product 2085:Tangent 1464:= sin π 1070:formula 941:And at 423:second, 302:phrases 293:, etc. 244:in the 210:science 164:may be 3001:Tensor 2923:Secant 2689:Abel's 2672:Taylor 2563:Matrix 2513:Gauss' 2095:Limits 2075:Secant 2065:Radian 1936:  415:zeroth 403:series 392:degree 382:, the 2865:Lists 2724:Ratio 2662:Power 2398:Euler 2215:Chain 2205:Power 2080:Slope 1675:, or 1495:, or 1437:2.67. 1399:3.67. 1086:slope 419:first 298:order 289:, an 242:power 238:order 2734:Term 2729:Root 2468:Curl 1934:ISBN 1770:5.00 1764:3.00 1758:3.00 1722:2.00 1716:1.00 1710:0.00 1637:2.67 1583:5.00 1577:3.00 1571:3.00 1535:2.00 1529:1.00 1523:0.00 1346:5.00 1340:3.00 1334:3.00 1298:2.00 1292:1.00 1286:0.00 1216:3.67 1082:line 769:< 266:, a 259:, a 224:is. 2210:Sum 1669:3.9 1263:. 429:or 390:of 308:or 208:In 3050:: 1959:^ 1868:. 1673:10 1493:10 1468:. 929:1. 638:th 594:rd 550:nd 506:st 479:th 441:, 421:, 417:, 212:, 2001:e 1994:t 1987:v 1940:. 1837:3 1834:+ 1831:x 1823:2 1819:x 1815:= 1812:) 1809:x 1806:( 1803:f 1797:y 1776:, 1773:] 1767:, 1761:, 1755:[ 1752:= 1749:y 1728:, 1725:] 1719:, 1713:, 1707:[ 1704:= 1701:x 1671:× 1634:+ 1631:x 1628:= 1625:) 1622:x 1619:( 1616:f 1610:y 1589:, 1586:] 1580:, 1574:, 1568:[ 1565:= 1562:y 1541:, 1538:] 1532:, 1526:, 1520:[ 1517:= 1514:x 1491:× 1489:4 1466:x 1462:y 1458:y 1434:+ 1431:x 1425:y 1396:= 1393:) 1390:x 1387:( 1384:f 1378:y 1352:, 1349:] 1343:, 1337:, 1331:[ 1328:= 1325:y 1304:, 1301:] 1295:, 1289:, 1283:[ 1280:= 1277:x 1257:x 1253:y 1237:y 1233:x 1213:= 1210:) 1207:x 1204:( 1201:f 1195:y 1174:, 1171:] 1168:5 1165:, 1162:3 1159:, 1156:3 1153:[ 1150:= 1147:y 1126:, 1123:] 1120:2 1117:, 1114:1 1111:, 1108:0 1105:[ 1102:= 1099:x 1013:, 1010:3 1006:/ 1002:4 999:= 996:! 993:3 989:/ 983:3 979:2 958:, 955:2 952:= 949:x 909:, 906:x 886:, 883:1 880:= 877:x 857:, 854:x 851:+ 848:1 840:x 836:e 814:, 811:1 804:| 800:x 796:| 775:, 772:1 765:| 761:x 757:| 736:, 733:2 729:/ 723:2 719:x 698:, 695:x 675:; 672:1 652:, 645:+ 634:4 622:! 619:4 613:4 609:x 601:+ 590:3 578:! 575:3 569:3 565:x 557:+ 546:2 534:! 531:2 525:2 521:x 513:+ 502:1 492:x 486:+ 475:0 465:1 459:= 454:x 450:e 395:n 384:n 199:) 193:( 188:) 184:( 180:. 170:. 138:e 131:t 124:v 20:)

Index

Orders of approximation

Orders of approximation
Scale analysis
Big O notation
Curve fitting
False precision
Significant figures
Approximation
Generalization error
Taylor polynomial
Scientific modelling
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