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Multilinear polynomial

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597: 308: 301: 1592: 1810: 78: 592:{\displaystyle f(x,y)=\sum _{i=0}^{1}\sum _{j=0}^{1}a_{ij}x^{i}y^{j}=a_{00}+a_{10}x+a_{01}y+a_{11}xy={\begin{pmatrix}1&x\end{pmatrix}}{\begin{pmatrix}a_{00}&a_{01}\\a_{10}&a_{11}\end{pmatrix}}{\begin{pmatrix}1\\y\end{pmatrix}}} 1359: 1249:
The value of the polynomial at an arbitrary point can be found by repeated linear interpolation along each coordinate axis. Equivalently, it is a weighted mean of the vertex values, where the weights are the
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points with minimal and maximal coordinate values. The value of the function on these points completely determines the function, since the value on the edges of the boundary can be found by
2124: 1244: 1113: 1002: 1925: 1879: 1354: 2042: 1287: 1200: 839: 651: 2015: 1612: 1169: 1133: 1077: 1046: 1022: 879: 859: 812: 792: 624: 296:{\displaystyle f(x)=\sum _{i_{1}=0}^{1}\sum _{i_{2}=0}^{1}\cdots \sum _{i_{n}=0}^{1}a_{i_{1}i_{2}\cdots i_{n}}x_{1}^{i_{1}}x_{2}^{i_{2}}\cdots x_{n}^{i_{n}}} 895: 1587:{\displaystyle f(x)=\sum _{v}f(v)\prod _{i|v_{i}=b_{i}}{\frac {x_{i}-a_{i}}{b_{i}-a_{i}}}\prod _{i|v_{i}=a_{i}}{\frac {b_{i}-x_{i}}{b_{i}-a_{i}}}} 656: 1971:
a linear function of the coordinates (its degree can be higher than 1), but it is a linear function of the fitted data values.
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is a constant times a product of distinct variables. For example f(x,y,z) = 3xy + 2.5 y - 7z is a multilinear polynomial of
1255: 1805:{\displaystyle f(x)={\frac {1}{V}}\sum _{v}f(v)\prod _{i|v_{i}=b_{i}}(x_{i}-a_{i})\prod _{i|v_{i}=a_{i}}(b_{i}-x_{i})} 1289:
smaller hyperrectangles, and the weight of each vertex is the (fractional) volume of the hyperrectangle opposite it.
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of a multilinear polynomial is the maximum number of distinct variables occurring in any monomial.
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at the center are proportional to the balance of the vertex values along each coordinate axis.
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is linear in the "shaped like a line" sense, but not in the "directly proportional" sense of a
52: 48: 1835: 1207: 32: 21: 2233: 2094: 2020: 1948: 1265: 1203: 1178: 1053: 817: 629: 43:. It is a polynomial in which no variable occurs to a power of 2 or higher; that is, each 8: 2144: 1251: 1839: 2000: 1824: 1597: 1154: 1118: 1062: 1031: 1007: 889: 864: 844: 797: 777: 609: 72: 2211: 2189: 1172: 1049: 1025: 2179: 2128: 2061: 1991: 966: 68: 2132: 1820: 882: 64: 36: 2184: 2167: 1827:
over the domain boundary, and the mean over the interior. The components of the
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expressed as a multilinear polynomial (up to a choice of domain and codomain).
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The vertex values and the coefficients of the polynomial are related by a
2138: 1975: 1936: 1206:, and the value on the rest of the boundary and the interior is fixed by 71:) applied to the vectors , , etc. The general form can be written as a 40: 24: 51:
2 (because of the monomial 3xy) whereas f(x,y,z) = x² +4y is not. The
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is harmonic on every "slice" of the domain along coordinate axes.
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still holds when one or more variables are fixed. In other words,
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Algebraically, the multilinear interpolant on the hyperrectangle
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multilinear polynomials in the elements of the matrix (and also
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to an arbitrary number of variables. This is a specific form of
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Laneve, Cosimo; Lascu, Tudor A.; Sordoni, Vania (2010-10-01).
947:{\displaystyle {\frac {\partial ^{2}f}{\partial x_{k}^{2}}}=0} 2091:, using multivariate polynomials with two or three variables 767:{\displaystyle f(x_{1},x_{2},...,x_{k},...,x_{n})=ax_{k}+b} 1947:
interpolation on a rectangular grid, a generalization of
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to a subset of its coordinates is also multilinear, so
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Multilinear polynomials are important in the study of
568: 504: 480: 2103: 2023: 2003: 1891: 1848: 1620: 1600: 1362: 1298: 1268: 1216: 1181: 1157: 1121: 1085: 1065: 1034: 1010: 974: 898: 867: 847: 820: 800: 780: 659: 632: 612: 311: 81: 1262:. Geometrically, the point divides the domain into 626:is linear (affine) when varying only one variable, 2168:"The Interval Analysis of Multilinear Expressions" 2165: 2118: 2036: 2009: 1967:linear interpolation. The resulting polynomial is 1919: 1873: 1804: 1606: 1586: 1348: 1281: 1238: 1194: 1163: 1127: 1107: 1071: 1040: 1016: 996: 946: 873: 853: 833: 806: 786: 766: 645: 618: 591: 295: 2225: 2172:Electronic Notes in Theoretical Computer Science 1823:of the value at the vertices, which is also the 63:Multilinear polynomials can be understood as a 2054:Fourier analysis of (pseudo-)Boolean functions 2208:Polynomial Identities and Asymptotic Methods. 1908: 1892: 1862: 1849: 1138: 2183: 2106: 1885:if the domain is the symmetric hypercube 1594:where the sum is taken over the vertices 1254:. These weights also constitute a set of 1171:will have maxima and minima only on the 2226: 1175:of the domain, i.e. the finite set of 1816:is the volume of the hyperrectangle. 1059:More generally, every restriction of 2161: 2159: 1842:if the domain is the unit hypercube 1256:generalized barycentric coordinates 13: 1252:Lagrange interpolation polynomials 1218: 1145:rectangular in the coordinate axes 1087: 976: 917: 903: 14: 2245: 2156: 2141:, a multivariate linear function 2119:{\displaystyle \mathbb {F} _{2}} 2097:, a multilinear polynomial over 1935:Multilinear polynomials are the 1883:Walsh-Hadamard-Fourier transform 1997:The multilinear polynomials in 1930: 1819:The value at the center is the 2206:A. Giambruno, Mikhail Zaicev. 2200: 1799: 1773: 1744: 1732: 1706: 1677: 1665: 1659: 1630: 1624: 1501: 1409: 1397: 1391: 1372: 1366: 1326: 1299: 1239:{\displaystyle \nabla ^{2}f=0} 1108:{\displaystyle \nabla ^{2}f=0} 997:{\displaystyle \nabla ^{2}f=0} 739: 663: 327: 315: 305:For example, in two variables: 91: 85: 1: 2150: 601: 58: 1920:{\displaystyle \{-1,1\}^{n}} 1052:only on the boundary of the 7: 2185:10.1016/j.entcs.2010.09.017 2078: 2073:polynomial identity testing 1874:{\displaystyle \{0,1\}^{n}} 35:) in each of its variables 10: 2250: 1963:, not to be confused with 1961:multivariate interpolation 1349:{\displaystyle _{i=1}^{n}} 861:is generally not zero, so 1994:in the rows or columns). 606:A multilinear polynomial 2089:trilinear interpolation 1957:trilinear interpolation 1139:On a rectangular domain 2120: 2038: 2011: 1953:bilinear interpolation 1921: 1875: 1806: 1608: 1588: 1350: 1283: 1240: 1196: 1165: 1129: 1109: 1073: 1042: 1018: 998: 948: 875: 855: 835: 808: 788: 768: 647: 620: 593: 374: 353: 297: 183: 152: 124: 39:, but not necessarily 18:multilinear polynomial 2121: 2039: 2037:{\displaystyle 2^{n}} 2012: 1922: 1876: 1836:linear transformation 1807: 1609: 1589: 1351: 1284: 1282:{\displaystyle 2^{n}} 1241: 1197: 1195:{\displaystyle 2^{n}} 1166: 1130: 1110: 1074: 1043: 1019: 999: 949: 876: 856: 836: 834:{\displaystyle x_{k}} 809: 789: 769: 648: 646:{\displaystyle x_{k}} 621: 594: 354: 333: 298: 156: 125: 97: 2210:AMS Bookstore, 2005 2101: 2095:Zhegalkin polynomial 2048:, which is also the 2021: 2001: 1949:linear interpolation 1889: 1846: 1618: 1598: 1360: 1296: 1266: 1214: 1204:linear interpolation 1179: 1155: 1119: 1083: 1063: 1032: 1008: 972: 954:In other words, its 896: 888:All repeated second 865: 845: 818: 798: 778: 657: 630: 610: 309: 79: 2145:Harmonic polynomial 1345: 1143:When the domain is 965:In particular, the 934: 890:partial derivatives 292: 267: 245: 2116: 2034: 2007: 1917: 1871: 1802: 1772: 1705: 1655: 1604: 1584: 1529: 1437: 1387: 1346: 1325: 1279: 1236: 1208:Laplace's equation 1192: 1161: 1125: 1105: 1069: 1038: 1014: 994: 944: 920: 871: 851: 831: 804: 784: 764: 643: 616: 589: 583: 557: 493: 293: 271: 246: 224: 73:tensor contraction 2216:978-0-8218-3829-7 2017:variables form a 2010:{\displaystyle n} 1992:multilinear forms 1838:(specifically, a 1735: 1668: 1646: 1644: 1607:{\displaystyle v} 1582: 1492: 1490: 1400: 1378: 1164:{\displaystyle f} 1128:{\displaystyle f} 1072:{\displaystyle f} 1050:maxima and minima 1041:{\displaystyle f} 1026:harmonic function 1017:{\displaystyle f} 936: 874:{\displaystyle f} 854:{\displaystyle b} 814:do not depend on 807:{\displaystyle b} 787:{\displaystyle a} 619:{\displaystyle f} 67:(specifically, a 2241: 2219: 2204: 2198: 2197: 2187: 2163: 2129:Multilinear form 2125: 2123: 2122: 2117: 2115: 2114: 2109: 2062:Boolean function 2043: 2041: 2040: 2035: 2033: 2032: 2016: 2014: 2013: 2008: 1986:of a matrix are 1926: 1924: 1923: 1918: 1916: 1915: 1880: 1878: 1877: 1872: 1870: 1869: 1840:Möbius transform 1811: 1809: 1808: 1803: 1798: 1797: 1785: 1784: 1771: 1770: 1769: 1757: 1756: 1747: 1731: 1730: 1718: 1717: 1704: 1703: 1702: 1690: 1689: 1680: 1654: 1645: 1637: 1613: 1611: 1610: 1605: 1593: 1591: 1590: 1585: 1583: 1581: 1580: 1579: 1567: 1566: 1556: 1555: 1554: 1542: 1541: 1531: 1528: 1527: 1526: 1514: 1513: 1504: 1491: 1489: 1488: 1487: 1475: 1474: 1464: 1463: 1462: 1450: 1449: 1439: 1436: 1435: 1434: 1422: 1421: 1412: 1386: 1355: 1353: 1352: 1347: 1344: 1339: 1324: 1323: 1311: 1310: 1288: 1286: 1285: 1280: 1278: 1277: 1245: 1243: 1242: 1237: 1226: 1225: 1201: 1199: 1198: 1193: 1191: 1190: 1170: 1168: 1167: 1162: 1134: 1132: 1131: 1126: 1114: 1112: 1111: 1106: 1095: 1094: 1078: 1076: 1075: 1070: 1047: 1045: 1044: 1039: 1023: 1021: 1020: 1015: 1003: 1001: 1000: 995: 984: 983: 953: 951: 950: 945: 937: 935: 933: 928: 915: 911: 910: 900: 880: 878: 877: 872: 860: 858: 857: 852: 840: 838: 837: 832: 830: 829: 813: 811: 810: 805: 793: 791: 790: 785: 773: 771: 770: 765: 757: 756: 738: 737: 713: 712: 688: 687: 675: 674: 652: 650: 649: 644: 642: 641: 625: 623: 622: 617: 598: 596: 595: 590: 588: 587: 562: 561: 554: 553: 542: 541: 528: 527: 516: 515: 498: 497: 465: 464: 449: 448: 433: 432: 420: 419: 407: 406: 397: 396: 387: 386: 373: 368: 352: 347: 302: 300: 299: 294: 291: 290: 289: 279: 266: 265: 264: 254: 244: 243: 242: 232: 223: 222: 221: 220: 208: 207: 198: 197: 182: 177: 170: 169: 151: 146: 139: 138: 123: 118: 111: 110: 69:multilinear form 2249: 2248: 2244: 2243: 2242: 2240: 2239: 2238: 2224: 2223: 2222: 2205: 2201: 2164: 2157: 2153: 2133:multilinear map 2110: 2105: 2104: 2102: 2099: 2098: 2081: 2028: 2024: 2022: 2019: 2018: 2002: 1999: 1998: 1933: 1911: 1907: 1890: 1887: 1886: 1865: 1861: 1847: 1844: 1843: 1821:arithmetic mean 1793: 1789: 1780: 1776: 1765: 1761: 1752: 1748: 1743: 1739: 1726: 1722: 1713: 1709: 1698: 1694: 1685: 1681: 1676: 1672: 1650: 1636: 1619: 1616: 1615: 1614:. Equivalently, 1599: 1596: 1595: 1575: 1571: 1562: 1558: 1557: 1550: 1546: 1537: 1533: 1532: 1530: 1522: 1518: 1509: 1505: 1500: 1496: 1483: 1479: 1470: 1466: 1465: 1458: 1454: 1445: 1441: 1440: 1438: 1430: 1426: 1417: 1413: 1408: 1404: 1382: 1361: 1358: 1357: 1340: 1329: 1319: 1315: 1306: 1302: 1297: 1294: 1293: 1273: 1269: 1267: 1264: 1263: 1221: 1217: 1215: 1212: 1211: 1186: 1182: 1180: 1177: 1176: 1156: 1153: 1152: 1141: 1120: 1117: 1116: 1090: 1086: 1084: 1081: 1080: 1064: 1061: 1060: 1033: 1030: 1029: 1028:. This implies 1009: 1006: 1005: 979: 975: 973: 970: 969: 958:is a symmetric 929: 924: 916: 906: 902: 901: 899: 897: 894: 893: 883:multilinear map 866: 863: 862: 846: 843: 842: 825: 821: 819: 816: 815: 799: 796: 795: 779: 776: 775: 752: 748: 733: 729: 708: 704: 683: 679: 670: 666: 658: 655: 654: 637: 633: 631: 628: 627: 611: 608: 607: 604: 582: 581: 575: 574: 564: 563: 556: 555: 549: 545: 543: 537: 533: 530: 529: 523: 519: 517: 511: 507: 500: 499: 492: 491: 486: 476: 475: 460: 456: 444: 440: 428: 424: 415: 411: 402: 398: 392: 388: 379: 375: 369: 358: 348: 337: 310: 307: 306: 285: 281: 280: 275: 260: 256: 255: 250: 238: 234: 233: 228: 216: 212: 203: 199: 193: 189: 188: 184: 178: 165: 161: 160: 147: 134: 130: 129: 119: 106: 102: 101: 80: 77: 76: 65:multilinear map 61: 12: 11: 5: 2247: 2237: 2236: 2221: 2220: 2218:. Section 1.3. 2199: 2154: 2152: 2149: 2148: 2147: 2142: 2136: 2126: 2113: 2108: 2092: 2080: 2077: 2031: 2027: 2006: 1932: 1929: 1914: 1910: 1906: 1903: 1900: 1897: 1894: 1868: 1864: 1860: 1857: 1854: 1851: 1801: 1796: 1792: 1788: 1783: 1779: 1775: 1768: 1764: 1760: 1755: 1751: 1746: 1742: 1738: 1734: 1729: 1725: 1721: 1716: 1712: 1708: 1701: 1697: 1693: 1688: 1684: 1679: 1675: 1671: 1667: 1664: 1661: 1658: 1653: 1649: 1643: 1640: 1635: 1632: 1629: 1626: 1623: 1603: 1578: 1574: 1570: 1565: 1561: 1553: 1549: 1545: 1540: 1536: 1525: 1521: 1517: 1512: 1508: 1503: 1499: 1495: 1486: 1482: 1478: 1473: 1469: 1461: 1457: 1453: 1448: 1444: 1433: 1429: 1425: 1420: 1416: 1411: 1407: 1403: 1399: 1396: 1393: 1390: 1385: 1381: 1377: 1374: 1371: 1368: 1365: 1343: 1338: 1335: 1332: 1328: 1322: 1318: 1314: 1309: 1305: 1301: 1276: 1272: 1260:hyperrectangle 1235: 1232: 1229: 1224: 1220: 1189: 1185: 1160: 1140: 1137: 1124: 1104: 1101: 1098: 1093: 1089: 1068: 1037: 1013: 993: 990: 987: 982: 978: 956:Hessian matrix 943: 940: 932: 927: 923: 919: 914: 909: 905: 870: 850: 828: 824: 803: 783: 763: 760: 755: 751: 747: 744: 741: 736: 732: 728: 725: 722: 719: 716: 711: 707: 703: 700: 697: 694: 691: 686: 682: 678: 673: 669: 665: 662: 640: 636: 615: 603: 600: 586: 580: 577: 576: 573: 570: 569: 567: 560: 552: 548: 544: 540: 536: 532: 531: 526: 522: 518: 514: 510: 506: 505: 503: 496: 490: 487: 485: 482: 481: 479: 474: 471: 468: 463: 459: 455: 452: 447: 443: 439: 436: 431: 427: 423: 418: 414: 410: 405: 401: 395: 391: 385: 382: 378: 372: 367: 364: 361: 357: 351: 346: 343: 340: 336: 332: 329: 326: 323: 320: 317: 314: 288: 284: 278: 274: 270: 263: 259: 253: 249: 241: 237: 231: 227: 219: 215: 211: 206: 202: 196: 192: 187: 181: 176: 173: 168: 164: 159: 155: 150: 145: 142: 137: 133: 128: 122: 117: 114: 109: 105: 100: 96: 93: 90: 87: 84: 60: 57: 41:simultaneously 16:In algebra, a 9: 6: 4: 3: 2: 2246: 2235: 2232: 2231: 2229: 2217: 2213: 2209: 2203: 2195: 2191: 2186: 2181: 2177: 2173: 2169: 2162: 2160: 2155: 2146: 2143: 2140: 2137: 2134: 2130: 2127: 2111: 2096: 2093: 2090: 2086: 2083: 2082: 2076: 2074: 2069: 2067: 2063: 2059: 2055: 2051: 2047: 2044:-dimensional 2029: 2025: 2004: 1995: 1993: 1989: 1985: 1981: 1977: 1972: 1970: 1966: 1962: 1958: 1954: 1950: 1946: 1942: 1938: 1928: 1912: 1904: 1901: 1898: 1895: 1884: 1866: 1858: 1855: 1852: 1841: 1837: 1832: 1830: 1826: 1822: 1817: 1815: 1794: 1790: 1786: 1781: 1777: 1766: 1762: 1758: 1753: 1749: 1740: 1736: 1727: 1723: 1719: 1714: 1710: 1699: 1695: 1691: 1686: 1682: 1673: 1669: 1662: 1656: 1651: 1647: 1641: 1638: 1633: 1627: 1621: 1601: 1576: 1572: 1568: 1563: 1559: 1551: 1547: 1543: 1538: 1534: 1523: 1519: 1515: 1510: 1506: 1497: 1493: 1484: 1480: 1476: 1471: 1467: 1459: 1455: 1451: 1446: 1442: 1431: 1427: 1423: 1418: 1414: 1405: 1401: 1394: 1388: 1383: 1379: 1375: 1369: 1363: 1341: 1336: 1333: 1330: 1320: 1316: 1312: 1307: 1303: 1290: 1274: 1270: 1261: 1257: 1253: 1247: 1233: 1230: 1227: 1222: 1209: 1205: 1187: 1183: 1174: 1158: 1150: 1146: 1136: 1122: 1102: 1099: 1096: 1091: 1066: 1057: 1055: 1051: 1035: 1027: 1011: 991: 988: 985: 980: 968: 963: 961: 960:hollow matrix 957: 941: 938: 930: 925: 921: 912: 907: 891: 886: 884: 868: 848: 826: 822: 801: 781: 761: 758: 753: 749: 745: 742: 734: 730: 726: 723: 720: 717: 714: 709: 705: 701: 698: 695: 692: 689: 684: 680: 676: 671: 667: 660: 638: 634: 613: 599: 584: 578: 571: 565: 558: 550: 546: 538: 534: 524: 520: 512: 508: 501: 494: 488: 483: 477: 472: 469: 466: 461: 457: 453: 450: 445: 441: 437: 434: 429: 425: 421: 416: 412: 408: 403: 399: 393: 389: 383: 380: 376: 370: 365: 362: 359: 355: 349: 344: 341: 338: 334: 330: 324: 321: 318: 312: 303: 286: 282: 276: 272: 268: 261: 257: 251: 247: 239: 235: 229: 225: 217: 213: 209: 204: 200: 194: 190: 185: 179: 174: 171: 166: 162: 157: 153: 148: 143: 140: 135: 131: 126: 120: 115: 112: 107: 103: 98: 94: 88: 82: 74: 70: 66: 56: 54: 50: 46: 42: 38: 34: 30: 26: 23: 19: 2207: 2202: 2178:(2): 43–53. 2175: 2171: 2070: 2052:used in the 2046:vector space 1996: 1973: 1968: 1964: 1944: 1940: 1937:interpolants 1934: 1931:Applications 1833: 1818: 1813: 1291: 1248: 1142: 1058: 964: 887: 841:. Note that 605: 304: 62: 22:multivariate 17: 15: 2234:Polynomials 2139:Linear form 1988:homogeneous 1976:determinant 1941:multilinear 2151:References 1982:and other 602:Properties 59:Definition 37:separately 25:polynomial 2194:1571-0661 2056:. Every ( 1984:immanants 1980:permanent 1965:piecewise 1896:− 1787:− 1737:∏ 1720:− 1670:∏ 1648:∑ 1569:− 1544:− 1494:∏ 1477:− 1452:− 1402:∏ 1380:∑ 1219:∇ 1149:hypercube 1088:∇ 977:∇ 967:Laplacian 918:∂ 904:∂ 892:are zero: 356:∑ 335:∑ 269:⋯ 210:⋯ 158:∑ 154:⋯ 127:∑ 99:∑ 31:(meaning 2228:Category 2085:Bilinear 2079:See also 2066:uniquely 1945:n-linear 1881:, and a 1829:gradient 1258:for the 1173:vertices 1147:(e.g. a 45:monomial 27:that is 2064:can be 2058:pseudo- 2214:  2192:  1812:where 1054:domain 774:where 53:degree 49:degree 33:affine 29:linear 2050:basis 1024:is a 1004:, so 20:is a 2212:ISBN 2190:ISSN 2131:and 2087:and 1974:The 1955:and 1825:mean 1048:has 794:and 2180:doi 2176:267 1969:not 1943:or 1939:of 1927:). 1356:is: 1246:. 1151:), 962:. 2230:: 2188:. 2174:. 2170:. 2158:^ 2075:. 1978:, 1951:, 1210:, 1056:. 885:. 551:11 539:10 525:01 513:00 462:11 446:01 430:10 417:00 2196:. 2182:: 2112:2 2107:F 2060:) 2030:n 2026:2 2005:n 1913:n 1909:} 1905:1 1902:, 1899:1 1893:{ 1867:n 1863:} 1859:1 1856:, 1853:0 1850:{ 1814:V 1800:) 1795:i 1791:x 1782:i 1778:b 1774:( 1767:i 1763:a 1759:= 1754:i 1750:v 1745:| 1741:i 1733:) 1728:i 1724:a 1715:i 1711:x 1707:( 1700:i 1696:b 1692:= 1687:i 1683:v 1678:| 1674:i 1666:) 1663:v 1660:( 1657:f 1652:v 1642:V 1639:1 1634:= 1631:) 1628:x 1625:( 1622:f 1602:v 1577:i 1573:a 1564:i 1560:b 1552:i 1548:x 1539:i 1535:b 1524:i 1520:a 1516:= 1511:i 1507:v 1502:| 1498:i 1485:i 1481:a 1472:i 1468:b 1460:i 1456:a 1447:i 1443:x 1432:i 1428:b 1424:= 1419:i 1415:v 1410:| 1406:i 1398:) 1395:v 1392:( 1389:f 1384:v 1376:= 1373:) 1370:x 1367:( 1364:f 1342:n 1337:1 1334:= 1331:i 1327:] 1321:i 1317:b 1313:, 1308:i 1304:a 1300:[ 1275:n 1271:2 1234:0 1231:= 1228:f 1223:2 1188:n 1184:2 1159:f 1123:f 1103:0 1100:= 1097:f 1092:2 1067:f 1036:f 1012:f 992:0 989:= 986:f 981:2 942:0 939:= 931:2 926:k 922:x 913:f 908:2 869:f 849:b 827:k 823:x 802:b 782:a 762:b 759:+ 754:k 750:x 746:a 743:= 740:) 735:n 731:x 727:, 724:. 721:. 718:. 715:, 710:k 706:x 702:, 699:. 696:. 693:. 690:, 685:2 681:x 677:, 672:1 668:x 664:( 661:f 653:: 639:k 635:x 614:f 585:) 579:y 572:1 566:( 559:) 547:a 535:a 521:a 509:a 502:( 495:) 489:x 484:1 478:( 473:= 470:y 467:x 458:a 454:+ 451:y 442:a 438:+ 435:x 426:a 422:+ 413:a 409:= 404:j 400:y 394:i 390:x 384:j 381:i 377:a 371:1 366:0 363:= 360:j 350:1 345:0 342:= 339:i 331:= 328:) 325:y 322:, 319:x 316:( 313:f 287:n 283:i 277:n 273:x 262:2 258:i 252:2 248:x 240:1 236:i 230:1 226:x 218:n 214:i 205:2 201:i 195:1 191:i 186:a 180:1 175:0 172:= 167:n 163:i 149:1 144:0 141:= 136:2 132:i 121:1 116:0 113:= 108:1 104:i 95:= 92:) 89:x 86:( 83:f 75::

Index

multivariate
polynomial
linear
affine
separately
simultaneously
monomial
degree
degree
multilinear map
multilinear form
tensor contraction
multilinear map
partial derivatives
Hessian matrix
hollow matrix
Laplacian
harmonic function
maxima and minima
domain
rectangular in the coordinate axes
hypercube
vertices
linear interpolation
Laplace's equation
Lagrange interpolation polynomials
generalized barycentric coordinates
hyperrectangle
arithmetic mean
mean

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