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[德语词汇] 德语词汇学习:数学词汇

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发表于 2012-8-16 22:32:39 | 显示全部楼层 |阅读模式
  [ L ]
" C) n! ^1 Y7 \/ ?. N5 N4 {  Lagrangesche Multiplikation - Lagrange multipliers. o, l0 L+ q2 c' F$ _
  Laguerresche Differentialgleichung - Laguerre equation
) s" D/ c7 M3 a* P8 r: r, @' m  L?nge - length8 M! |9 K- G$ \$ M2 M" m
  Laplace-Operator - Laplace operator, laplacian# n3 h2 I* e4 n/ U- C
  Laplacescher Entwicklungssatz - Laplace expansion of a determinant
4 k2 D+ k, u7 Z+ Q' q2 I  Laplace-Verteilung - Laplace-distribution
4 u; v' w/ _6 P: M  Laurentreihe - Laurent series
) z1 E+ N0 n, w) ~0 Z: D0 K* Q  Lebesgue-Ma?- Lebesgue measure! m  K7 {9 @' R5 S+ k
  leere Menge - empty set
/ a# {" x2 n! |* s  Legendresche Differentialgleichung - Legendre equation2 x8 |; @8 H* o" q9 m4 W2 v
  lexikographische Ordnung - lexicographic order* {% I1 F7 b1 `2 p9 ~' H
  Lie-Algebra - Lie algebra9 R: n! h2 n5 v3 D* }0 h. f
  Likelihood-Funktion - likelihood function6 u3 r& R1 c0 j
  Limes inferior - limit inferior
7 Y7 X" E- J7 b- u8 X: |( J% F/ |  Limes superior - limit superior# I  b; v. b+ ^/ W
  linear abh?ngig - linearly dependent
: E1 @/ O/ Z; i5 Y  linear unabh?ngig - linearly independent
: \* d. i* t9 x- T  lineare Abbildung - linear map
# ^5 y# x+ \7 ^  X  lineare Hülle - span* S) T+ i6 H, [
  lineare Optimierung - linear programming
. w0 a7 y7 K$ [7 w: X% o) x; t$ ~4 g  lineares Gleichungssystem - system of linear equations
; d! q) j0 i3 K" R9 f  [' }- l* e  Linearform - linear form
  s) q: x* Q/ _) h( g& g3 O  Linearkombination - linear combination: c: V' ?( M$ J$ j0 K4 j/ |* g
  Logarithmus - logarithm
  M% A5 A3 a  c( D, s* h, w: o( M' F  lokal wegzusammenh?ngend - locally arcwise connected, locally pathwise; p  g, {) l, N4 H  F
  connected# _! K$ w3 z3 p5 E% X
  lokal zusammenh?ngend - locally connected
: t' s9 M2 j6 ~2 i" T+ {3 |  lokalendlich - locally finite
! K& U% C% f) s! z7 X* T3 p; L8 {& f  lokaler Ring - local ring. q1 f" ]+ C+ c9 K% `3 x
  lokales Extremum - local extremum7 t# G6 _" Q8 T' I( C* E# F
  lokales Koordinatensystem - local coordinates1 ?+ }, d7 X- {  d) D& l
  lokalkompakt - locally compact
; t/ n7 k) t4 q( P  O0 x+ K& T9 h  lokalkonvex - locally convex
& r$ d: [* `" b" X/ L8 z- J  l?sbar - solvable) K1 d3 H" S+ G) g4 U
  L?sungsraum - space of solutions
' {! B$ A, f0 @  [ M ]) s- |. W7 V- F5 X9 B  i
  M?chtigkeit - cardinality9 d, E# y1 w! |( F- W: r. p. a
  mager - set of the first category8 u+ X- M. g! l1 f: X8 Y
  Majorantenkriterium (bei Reihen) - comparison test; Z* A% A6 u( U# p
  Mannigfaltigkeit - manifold
: W3 G: l6 ^6 s  Maschinenzahl - machine number* @" ]5 V1 x+ D/ j
  Ma?- measure
8 z6 |0 {9 {- i, z  Ma?raum - measure space
7 a4 q; N) x9 F) R, x5 N& q( v+ V  Matrix - matrix6 K) E! y3 C" C
  Matrixnorm - matrix norm4 F  S7 D4 P. f5 U# {# h( m
  maximales Ideal - maximal ideal7 P& q) N* h* q  H4 l. y( l
  Maximum-Likelihood-Sch?tzung - maximum likelihood estimation" L: t% c) H" Z
  Maximumsprinzip (für holomorphe Funktionen) - maximum modulus principle9 {. b$ `: Y) U1 H
  Median - median
& c" S, I3 i7 A' y7 v$ e  Mehrschrittverfahren - multi-step method8 L& q5 b) Z, S+ V# l
  Mehrzielmethode - multiple shooting method
9 L- ]; f/ h; n% q0 w  Mengenlehre - set theory: M2 R) u5 Q- x: C' O
  meromorph - meromorphic7 v1 P0 A( b% ^4 {8 b
  messbar - measurable' x% o7 W0 R5 h4 {' V* f  L) Z) }: v
  Messraum - measurable space
3 K5 y0 \+ P; r( q  Metrik - metric
7 o9 V3 B2 ]( l5 z5 ~# @  metrischer Raum - metric space+ z( G; `1 s$ N& B. C
  metrisierbar - metrizable! d4 c% w0 z* B1 I( h
  Minimalpolynom - minimal polynomial
6 o% y& N) \7 X  F3 ^  Mittelwert - mean value0 R) }' n6 z7 V
  Mittelwertsatz der Integralrechnung - mean value theorem for integrals( l) B- s# o. x2 F: `, P/ `+ l
  mittlere Krümmung - mean curvature+ ]/ ]% g( t' I& Q. b- K5 C2 z6 L
  mittlere quadratische Abweichung - mean square deviation
8 K3 v$ G: |- T: D& |5 G5 }  Modul - module: z. S- O/ k' q4 a1 S0 i1 g
  momenterzeugende Funktion - moment generating function* z0 O% W& ]8 B5 ^& z' o( d. O9 `
  Monodromiesatz - monodromy theorem- ^1 j* r! X% c. @& k& C% m0 J
  Monoid - monoid
* v' _9 |& N+ G& _$ x+ Q  Monomorphismus - monomorphism+ K% ^' m1 b4 Z2 y' b- N
  monoton - monotone3 D+ U) o1 k- l4 |
  Morphismus - morphism
2 W5 _# R: m* D) h+ g  Multiindex - multi-index
4 q' U  N% D# C  multilineare Abbildung - multilinear mapping4 \! |  V7 c" s: m6 Y
  Multinomialverteilung - multinomial distribution, polynomial
- J/ k  p9 D) g7 t5 T  p  distribution
: B& |1 l* [! c9 Q2 i$ F/ p  [ N ]# K' K6 ^' |* E8 e9 D6 v9 [
  Nabla - nabla operator- T: r; \9 N0 ~
  N?herung - approximation
1 J9 P, P% M* V7 c: s% i& b1 C7 u) p  natürliche Transformation - natural transformation
, k9 x7 e& h3 k% }7 d  V  natürliche Zahl - natural number, positive integer
; W* x# P( A' T: j/ j( f  Nebenbedingungen - auxiliary conditions
$ @0 d! K/ ?( B: Y& l2 Y& d$ ]  h  Nebenklasse - coset
5 O" c8 {* }- b( g8 ~& O  Negativ-Binomial-Verteilung - negative binomial distribution
2 @4 D, d# [4 `9 f$ j2 {  Neilsche Parabel - cusp, Neil''s parabola+ }  [' n- `4 Z! y  ~
  neutrales Element - identity, neutral element
" Y8 {! d" y0 O- y5 P& ~2 p  Newton-?hnliche Verfahren - Newton-like methods
' m9 b( Y- o4 M( `; Z& h8 V& V  Newton-Cotes-formeln - Newton-Cotes formulae" \& S4 h' y8 W  U6 @3 I
  nilpotent - nilpotent  y3 s/ b: ~- W! M* Q
  nirgends dicht - nowhere dense
5 ?' V( c+ U- O: R. j  Niveau - level
+ A( s* n4 I& P" D4 E5 ~  Norm - norm
# e  U' x% B( r' V) G8 _  normale K?rpererweiterung - normal field extension3 D: y2 z2 T6 y
  Normalenvektor - normal vector% \6 ~) E8 V, w! [- U/ m
  Normalform (z.B. Hessesche Normalform) - normal form  u9 Z+ \2 ~9 f0 n* I
  Normalformensatz für ?quivalente Matrizen - normal form for equivalent6 n, L5 ]% r* A* k& u* ?
  matrices; J2 N; X$ F2 s3 v, ~6 ~$ J
  Normalisator - normalizer( c$ m" ^* ~# o, i
  Normalkrümmung - normal curvature
' w5 g( u1 c& g$ {- j0 S  Normalreihe - normal serie, normal tower
9 h( x+ R' X! v+ Z7 U  a" j. r  Normalteiler - normal subgroup4 `) W8 P" T, I( {) J
  Normalverteilung - Gau?distribution, normal distribution( n4 u* J, R4 }' U: t
  normierte Algebra - normed algebra
# H& @2 i8 m4 c2 L: `  normierter Vektorraum - normed vector space
* i" Q. g7 ]4 P& y# E  normiertes Polynom - monic polynomial, normalized polynomial! r2 P5 p; q# A+ q) l) ]8 B3 n
  Normtopologie - norm topology
: p# {; u  s, u3 ^$ Q5 T( S  nullhomotop - null homotopic
+ h* F) n5 Q! w5 @3 X) r' j  Nullmenge - zero set
0 Q9 l/ u5 a. ^- i  Nullstellenbestimmung bei Polynomen - calculation of zeros of0 P1 `2 ?$ Q# G, u
  polynomials# F2 o6 u, ]) p0 j+ q$ _
  Nullteiler - zero divisor
. f/ i) d  L/ h) O  numerische Differentiation - numerical differentiation
* {* Z4 R* A% J* I+ Q  numerische Integration - numerical integration
1 k' ]) {1 t) S' H  numerische Stabilit?t - numerical stability/ z. K" F/ u2 Y% q5 p# p
  [ O ]
1 t$ b5 U8 L7 t) I* D  offen (z.B. Teilmenge eines metrischen Raumes, Abb) - open2 E1 B4 i2 h6 A6 R
  offener Kern - interior
& O1 v4 b3 Y; a" u: b  Opeartor - operator
/ s. v5 s6 B1 m* F) a$ }  Operation - action, operation5 c2 T3 G3 k1 S/ L: _
  optimaler Test - optimal test
/ E  p) `4 w' N  Optimierung - optimization3 ^# q. @" @$ y; U8 _. }2 M  h! o
  Orbit - orbit
; i7 z1 {3 c' k4 `3 C$ j9 U  Ordinalzahl - ordinal number
7 T. g  V/ N, t4 Q3 D/ m  Ordnung - order% f& G1 f6 M8 s; |
  Ordnungstopologie - order topology
, @+ J2 l% H- h  Orientierung - orientation
% _* k% a, S9 |3 d2 L  orientierungstreu - orientation preserving8 }; ~( k: M2 J4 k
  orthogonale Gruppe - orthogonal group
# U) J1 ~7 G+ p" e; T" A  Orthonormalbasis - orthonormal basis# l0 {+ k  f2 r( y! M; x
  Orthonormalisierungssatz - Gram-Schmidt orthonormalization procedure- o/ G9 Y2 Q8 F* Y% t& M
  Orthonormalisierungsverfahren (von Gram-Schmidt) - Gram-Schmidt$ Y0 E8 w- m6 C6 E0 s( L
  orthonormalization procedure+ [- F2 J9 M8 U' L3 s3 j0 @
  Orthonormalsystem - orthonormal system8 Y) D  ~* J0 L1 g6 u
  [ P ]. P' M/ |! l, w% j6 O/ ?1 |
  p-adische Zahlen - p-adic numbers
2 E/ N3 {* f+ P( r( q  Parabel - parabola' M/ @, ?; R. o7 O
  parakompakt - paracompact
! K! x* Q2 L: A/ o  Parallelogrammgleichung - parallelogramm identity
9 {. \; S: l) [3 J; n/ S/ s  Parsevalsche Gleichung - Parseval''s equation
8 N$ J/ G/ N0 |( W6 i0 q- z, U  Partialbruchzerlegung - partial fraction expansion
5 _5 t, ?& v! v1 H. `  Partialsumme - partial sum( F$ w  I% k; `4 u2 m! ^( ^+ C8 [
  partielle Ableitung - partial derivative
9 ^) K/ y: M+ }6 H  O# }) y. U  partielle Differentialgleichungen - partial differential equations
0 q/ e9 e3 Q2 R  S8 _  (PDE)4 D' }. a# m% }2 u: V) ]7 I
  partielle Integration - integration by parts
! A5 ~7 d; W' \: a9 l2 r  Partition der Eins - partition of unity
2 f, |. I' Y0 L9 j9 q6 m1 D! k5 g
: \$ }! J6 Y! d' C" b4 |; _( j  periodisch - periodic
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 楼主| 发表于 2012-8-16 22:32:40 | 显示全部楼层

德语词汇学习:数学词汇

</p>  Permutationsgruppe - permutation (sub)group9 b2 J7 m' B4 d9 F& ]  ^7 y
  Pfaffsche form - pfaffian- i$ M0 X3 P1 Y  u1 B
  Pivotsuche - pivoting9 n2 K; L! f+ Y6 e: e3 Z
  Poisson-Verteilung - Poisson distribution9 Q  o2 ?' ]: @3 }
  Pol - pole
. b$ I' f, y0 H+ i4 N  Polarisierung - polarization' W" }4 x7 B  D. ^
  Polarkoordinaten - polar coordinates
% I% V. z$ T  m& |% Q  Polyeder - polyhedron7 B# H4 A0 }& K2 {
  Polynom - polynomial: q, A" n0 ]. K
  polynomiale Abbildung - polynomial mapping  ]: y  W3 E1 Y& g, e
  Polynominterpolation - polynomial interpolation
2 k$ t+ [( I' J9 c3 U' `  positiv - positive, C4 m2 }+ Q4 S
  positiv definit - positiv definit% ~! D/ G' {9 s, X4 r% B
  Potentialgleichung - potential equation
0 g" T7 \! t) L( s5 }  Potenzmenge - power set2 F# e9 U1 m* K1 S; r) }) t/ G
  Potenzreihe - power series$ o+ _/ |/ \5 J/ s! A( i
  Pr?hilbertraum - prehilbert space) H% v) r' @3 A$ V4 K& |+ x
  pr?kompakt - precompact( F0 l9 A+ z0 n$ w: @% M
  Prediktor-Korrektor-Verfahren - predictor-corrector method
1 g9 H0 X8 o  o) j+ T  Primelement - prime element) T7 b; z! L. a; B" T0 K. X
  Primfaktorzerlegung - decomposition into primes& d# D: Z$ f+ D" ^! t; G
  Primideal - prime ideal1 w% a2 ]. l: V' H
  primitive Einheitswurzel - primitve root of unity
: E- y, K' R" L2 N4 {6 e  primitives Polynom - primitive polynomial
1 ?4 I$ k5 X" u/ k  Primk?rper - prime field4 H) k$ U& a) b& M) H* l) _6 R" q
  Primzahl - prime number
5 |; t- B6 c( ?- }) R  l  Prinzip der gleichm??igen Beschr?nktheit - principle of uniform3 e5 m: e- e8 i6 M2 _, v" p
  boundedness
7 R" U& N7 ?2 u. T( w) o" |  Prinzip der offenen Abbildung - open mapping principle
9 K# u& b1 E( c; B2 j- L  Produktma?- product measure1 h- l' W  A# g7 f" k
  Produktregel - product rule* C- _: b  f4 X; \( k4 ]* \
  Produkttopologie - product topology
$ t, b0 }2 j2 p( e& g! ]  Projektion - projection
8 M$ R: X. @6 X! U+ r  projektiver Raum - projetive space$ n; Q4 j% g5 ^# g) ^
  Projektivit?t - projectivity) M' t+ l) d1 _) V% C
  Punktsch?tzung - point estimation- b: i6 W+ V& U/ k
  punktweise Konvergenz - pointwise convergence
5 }: C7 \1 a- s4 l/ t, X2 ^  [ Q ]2 R# G, W' ^, W5 L; [9 m* p8 t
  quadratische form - quadratic form, q! h; }5 V! N
  quadratischer Rest - quadratic residue6 V3 ^7 f  O, m1 [' ]0 a: `
  Quadraturformel - quadrature formula
' ~) O% E' m6 q1 |) s) W  Quadrik - quadric7 C* e: e8 M) P. w
  Quantil - quantile
) I: s" y% A# Z  Quaternionen - quaternions
- N3 P- D% ^1 _2 V* f* c, f/ D  Quotientengruppe - quotient group
& G9 W3 ~- L  W& r1 N  Quotientenk?rper - quotient field
) j3 n6 f/ a' D1 x! Z6 _( t( e  Quotientenkriterium - ratio test
1 W  B9 g: |# _7 z0 ^+ T3 d5 o, ~  Quotientenmenge - quotient set3 Z5 I2 m( ]: H
  Quotientenregel - quotient rule" Q' o' Y  O. G! W9 J
  Quotiententopologie - quotient topology: f1 K, H2 `+ U
  Quotientenvektorraum - quotient vector space
' X$ D. f  _) \# m& }" c8 J: ]# `  [ R ]% O  j2 ~, [4 P) y; z3 x3 Q
  Radikalerweiterung - radical extension
+ S3 r4 g/ n- h1 I% G+ a. p  Rand - boundary, frontier
0 u; h2 ~# d) `% D1 I  Randwertproblem - boundary value problem- u  d  |- J  _0 Y# h2 g" v6 M! Z9 q
  Rang - rank
# Q# W0 t$ n. {4 O  rationale Abbildung - rational mapping$ l# x. L3 [9 o4 D2 ^$ d9 x
  rationale Interpolation - rational interpolation" |+ G, j. U' X: k" E2 e# ~8 D
  rationale Zahl - rational number
: ~# ^% S+ s* l+ [/ s1 E  L1 F  Raum - space
: F2 V7 q" ?# X' d. w  Realteil - real part
1 x- X& l" X9 I  Rechteckverteilung - uniform distribution' A( I- ]* e& D4 c
  reduzibel - reducible4 h# U4 ^1 E: c& ?- J- Z; Z3 U7 @
  reelle Zahlen - real numbers" m( a% e- p; c
  reflexiv - reflexive
; H" @. z' j6 b; x  Regel von Sarrus - Sarrus diagram
1 \3 Z6 G2 v' B& Q4 A, n  regul?r - regular( Y1 g" J/ `" |7 m' C+ D
  Reihe (unendlich) - series) b8 `( w; L- I! z
  rektifizierbar - rectifiable/ @& w5 q. y- `* w
  rektifizierende Ebene - rectifying plane  h) h. N1 y3 [4 r. c/ s
  Rekursionssatz - recursion theorem0 w2 ?% ^( P1 h+ S8 g
  relativ kompakt - relatively compact
$ `8 a2 C. R  z3 Q, \. ^  relative H?ufigkeit - relative frequency! O) X3 T) H& t, [
  relativer Fehler - relative error# V. F' `/ m5 n$ W. Y
  Repr?sentant - representative
3 n; V6 L3 o  B7 B: G/ J  Residuensatz - residue formula, residue theorem* P( ?" _! e5 s; I. b
  Residuum - residue
' k4 r6 [, p- V4 T2 a- g, u; K( M  Resolventenmenge - resolvent set
  u. r" \5 T. ]3 X  Restklasse - residue class
! A# S. M5 Q) N2 B8 X$ H$ x7 V  Restklassenmodul - factor module
; _! [9 \. G1 x$ c1 P( Z  Restklassenring - factor ring
4 ~5 c( p( Z9 z3 m7 b  Retrakt - retract: i* k) o: z3 m& l
  Riemannsche Fl?che - Riemann surface5 ~; H) E, _5 [# ]9 U2 p; ]/ d
  Riemannsche Summe - Riemann sum
. x- a3 Z. z' U8 g8 z  Riemannsche Zahlenkugel - Riemann sphere
9 J1 i6 u2 b* @- C  Riemannscher Abbildungssatz - Riemann mapping theorem
" R2 v- J* ]: b8 y# ]- h  Riezscher Dartstellungssatz - Riesz representation theorem
- {+ C% [# }. M; M) L( N" z  Ring - ring
; e: m3 c0 _3 ?$ D" @" L. i! B  z  Rombergintegration - Romberg''s integration method
5 p) p  F4 T7 g% X7 }2 d; N  Rundungsfehler - round-off error% W! S+ [1 Q! S& R
  [ S ]2 |! |: m! e# O5 ~+ M
  Satz über die Umkehrabbildung - inverse mapping theorem$ W% G  h* b- X
  Satz über implizite Funktionen - implicit function theorem  W) E  T5 x! j& [+ x9 u
  Satz vom inversen Operator - continuity of the inverse operator
8 e( o: F. A2 s- S$ t6 o  Satz von Baire - Baire category theorem+ I; J6 W4 ^$ k
  Sch?tzung - estimation
: t% H# v/ S; S: I; J  Schiefk?rper - skew field
, Y  M# I1 Z( v2 g5 M5 C: G  Schie?verfahren - shooting method- G" k& F5 a9 R) A
  Schmiegebene - osculating plane' x, I& H- k. u" H) H0 @
  Schranke - bound9 }2 ?& ?/ H, b1 D5 j; m
  Schrittweitensteuerung - step(-size)control$ U9 I6 v; q: g
  schwach-*-Topologie - weak * topology9 Z( O. @- A( S- t) m& u% z
  schwache Topologie - weak topology; T% `+ R( d& C; x4 m: e4 m2 C3 |
  Schwarzsche Ungleichung - inequality of Schwarz3 A) R* t; a+ D- w$ H
  Schwarzsches Spiegelungsprinzip - Schwarz reflection principle
! I9 @( {8 a" D: c  I9 c# I$ d  Schwingungsgleichung - Wave equation
+ A2 Y1 o$ C$ ?( `/ @$ x9 h3 I  Sehnentrapezregel - trapezoid(al) formula
6 N2 Y* @0 t8 w0 h8 S' j  Sekantenverfahren - secant method
) D$ h- o$ l, j3 E  selbstadjungiert - self adjoint/ u8 k. P0 v# F* N! C, Y* q3 D
  Semiaffinit?t - semiaffine map& T+ A" K' @, l1 F
  semidirektes Produkt - semidirect product
8 |8 ?) c  ^- E) k' G# n) [$ ]  semilinear - semilinear6 j  S0 @7 p# }% Y) B
  semilokal einfach zusammenh?ngend - semilocally simply connected separabel
5 R8 C6 T8 Y4 D! [  separiert - separated
0 u5 t" \. j7 s& H& k1 B  Sesquilinearform - sesquilinear form6 N" w4 v- M$ c1 \0 @" V
  Signatur - signature! L! o9 G3 o1 B! |# T
  Signum - sign
# P* q' |3 O# o* X# `: l9 [  Simplexmethode - simplex method, @5 Q! B/ w/ O" k% E7 f
  Simpsonregel - Simpson''s rule' N9 v0 s2 ^. Z6 u- |5 J' s
  singul?r (z.B. Matrizen) - singular1 ^2 Z( K% _* c+ S: t0 L
  singul?rer Punkt - singular point. P6 W) B8 K9 s1 [+ k; [
  Singularit?t - singularity4 p! h. z; v3 O0 d3 t
  sinus - sine- I$ e* S# }3 Y3 ]% P0 ?/ z0 Y6 X
  Skalar - scalar; q) j3 V7 ]: r9 \8 X3 v
  Skalarprodukt - dot product, inner product, scalar product% v( T% Z% v- Q
  Skalierung - scaling; w4 M! M$ [8 b1 l
  Spatprodukt - parallelepipedial product
1 _# O% b! E' h7 c/ c  B* G  Spektrum (z.B. eiens linearen Operators) - spectrum
* V# N9 z. S  H' {  spezielle orthogonale Gruppe - special orthogonal group
! S/ A7 X) }* C  |- Q; B0 s  Spiegelung - reflection! z; D$ J: h1 u& ~; c$ x7 D
  Spline-Interpolation - spline interpolation
5 c& p$ @2 L% j2 t% |  Spur - trace
- w0 R. z8 W( a  U  Stabilisator - stabilizer
1 o: r- O8 \+ ~2 D  Stabilit?t - stability
( s' \% \) S3 i' B$ r3 @  Stammfunktion - primitive (function)
1 i  V' v9 y) I1 f& ~  Standardabweichung - standard deviation! d6 E/ z$ V& w( E# B# z6 L6 v+ V
  steife Differentialgleichung - stiff differential equation) }% r1 s2 y1 K6 f$ c
  steigend (z.B. Funktion) - increasing; C/ F) H* E7 D  o
  stereographische Projektion - stereographic projection
+ `6 H8 k9 {- n3 V; R8 G  sternf?rmig - starlike- ]8 T, \; o# T1 ]& f% a
  stetig - continuous0 |2 \) q# k8 V4 z& D3 u9 {" A
  stochastisch unabh?ngig - stochastically independent
& }; C& S4 ?& J8 S  Streuung - dispersion
0 `* x) ]. F2 n; L# O8 K( M  stückweise - piecewise
4 `3 f. e, i( l' ~9 w4 a9 L$ T  studentsche t-Verteilung - Student''s t-distribution4 t; K5 Z- \) N1 P5 J; S2 u- m
  Subbasis - subbase
" F3 g, K+ x# X  t  sublinear - sublinear7 {1 k9 O5 n$ Q+ e% p1 h! f
  Substitutionsregel - substitution formula  ]6 _7 \. J. H+ S
  sukzessive Approximation - successive approximation/ F4 b$ @$ A2 H  T0 D- k
  Summentopologie - disjoint union topology9 q- J* ?2 f& c5 }0 F: H
  summierbare Funktion - summable function- t% N2 _) m; _0 G& w
  Supremumsnorm - supremum norm( R' o  @' O' {# W3 D& M
  surjektiv - surjective, ...onto
5 b. O: t4 O' `4 z  h' M, x  Sylow-Gruppe - Sylow subgroup1 h* a! p: K, T% {: [5 ?7 `6 A
  Sylvesterscher Tr?gheitssatz - Sylvester''s theorem of inertia
8 O4 C, p; v  m8 T3 g5 k( f  symmetrische Bilinearform - symmetric bilinear form
( b8 K! `. x. y0 P3 {3 q  symmetrische Gruppe - symmetric group
# r, }: _" z! X6 X" J- H  W0 W, A+ j  symmetrische Matrix - symmetric matrix
8 J# h" s/ V2 x9 i7 d+ l6 ?  @  symmetrisches Polynom - symmetric polynomial, v& R! }& G2 O" }# w
  [ T ]
9 g- N- |8 P% I# E4 O5 w. p% U  tangens - tangent
& M" I2 i! F; Z+ x! w% O  Tangente - tangent
9 N+ d; e1 R& i, ?1 @% K# u  Tangentialebene - tangent plane7 }* g" d% @! D2 F. R7 U
  Tangentialraum - tangent space
, F7 k6 d7 h' F" ?! t/ y  Tangentialvektor - tangent vector
) o- m7 g# [' X  n1 {  ^3 U" E  Taylorreihe - Taylor series
7 |3 K* V2 v3 e+ s$ z  Teilbarkeit - divisibility- x+ V' Q' M+ Q% }3 L9 R  s
  teilerfremd - coprime" u* h8 ~# l& _  s% d( V) @9 k
  Teilfolge - subsequence- i( _+ g$ A; c! K
  Teilraum - subspace% ?; S* E8 x4 G
  teilweise geordnet - partially ordered
2 P0 i/ Z0 y  i" h2 K; R! z  Tensoren - tensors
7 d6 a/ a/ r. h' t4 N6 S/ }) |  Tensorprodukt - tensor product
1 \" s# V# n. b% [, X8 @+ _4 Y3 B2 ]  s  Testfunktion - test function6 G  a; [1 [& ?
  Topologie - topology
% l2 `' g. ^" k) u5 @3 G; g  topologische Summe - free union
/ u* R( D9 d; ~# H$ g9 o  topologischer Raum - topological space
! W# ?- i" \$ F4 f2 O% k5 \8 b- O  topologischer Vektorraum - topological vector space! \& y3 K" X3 T" J& b. L7 N
  Torus - torus
! n$ M/ O: H6 W8 T. ]: o! ?  total beschr?nkt - precompact* W# y6 U! ]. D) ^
  total unzusammenh?ngend - totally disconnected4 }! N3 ]2 U0 l7 c3 z1 Y& a4 u3 Q
  totale Wahrscheinlichkeit - total probability. [& B% @6 c8 e
  Tr?ger (z.B. einer Funktion) - support0 i3 r! r9 X1 E
  Tr?gheitssatz - theorem of inertia
( o+ }8 H4 T# z  transitiv - transitive0 [3 k: e1 h* z6 b" Q* ^+ a8 Y$ X
  transponierte Matrix - transposed matrix
; L% s; O! {$ e& C# U  transzendent - transcendental
( ]2 d8 {, d9 c5 V" N  Trennungsaxiome - separation axioms" d+ n5 C  F4 o4 f6 f- a+ j1 f' K7 q
  Treppenfunktion - step function
4 P* p" D/ Y8 K' \  Tridiagonalmatrix - tridiagonal matrix
5 P5 I2 b( ^7 k7 I$ f! b  trigonometrische Funktionen - trigonometric functions
  f9 ]. r! Z5 J6 _/ z. l7 n  [ U ]
0 X/ Z; o& r1 l6 a- ]  überdeckung - cover
' ]3 i2 l4 K0 C3 k  überlagerung - covering! ^/ G$ i: G! Q1 E5 e. \3 q, n
  Ultrafilter - ultrafilter) r9 l( g* O* Q! O* Y- n2 A4 H
  Umgebung - neighbourhood% f* L& v; A- U! {8 e) Z
  Umgebungsbasis - fundamental system of neighbourhoods
8 a( S: J, C2 K& Y/ V# V, M/ c  Umgebungsfilter - neighbourhood filter/ j% t+ r/ ?) B1 s) ~2 c
  Umlaufzahl - winding number
& |2 D# I( ?. m5 m1 P% P- L  Umordnung (z.B. von Reihen) - rearrangement% z- c7 C7 F$ O! c% t/ ^! r
  Unbestimmte - indeterminate: |5 F" U5 k; n1 y" g
  unbestimmtes Integral - indefinite integral5 n. C/ B1 k% U- d; A" v( z
  uneigentliches Integral - improper integral
/ ~5 T3 O' t7 t5 \$ C  ungerade - odd6 C2 c6 Z; C- n, w' L8 o# `
  unit?re Gruppe - unitary group
0 y' s' l' Z5 J, d" p2 g  T4 K  unit?re Matrix - unitary matrix8 b( ?7 C' a7 v; C7 o  N
  unit?rer Endomorphismus - unitary endomorphism, G1 D  z1 F7 e6 P# F
  unit?rer Operator - unitary operator
( i" @. W- G* ~5 Q% k$ I  unit?rer Vektorraum - unitary space/ }$ O  i7 k7 B( _
  universelle überlagerung - universal covering2 I3 P1 D% P5 B# p4 r( {
  Untergruppe - subgroup  \, ?( }% Y. Z: G
  Untermodul - submodule
7 r4 w. j- s; @" Y4 v4 t' c! o+ l+ ~  Unterraum - subspace$ q9 z& d) L+ b" D, J
  Unterring - subring
  i% B7 q& X! o* e+ N3 S* E& Q  unverf?lscht - unbiased) [$ u% h6 R' R4 O/ f, A- m$ Z* q, \
  Urbild - inverse image
3 ~! r3 o$ p  S9 j  Urnenmodelle - urn models, v: e/ j: N/ l$ W8 Z$ g" P% `
  [ V ]' `  W  L# q9 {  i" s; }
  Varianz - variance
1 ]1 h$ Y) F- B( s3 h( _  Vektor - vector8 d! n$ |$ S1 k
  Vektoranalysis - vector analysis
. S6 x; x6 V+ z! g5 i* L  Vektorfeld - vector field
+ b& ?) L3 {1 M# `7 m% Q  ^% c5 e: a  Vektoriteration - vector iteration3 V2 i) x: N! Y+ H$ f
  Vektorprodukt - vector product1 a3 h; H! \2 `( k
  Vektorraum - vector space
. r$ c# C& U8 g+ O- b5 J8 g  Verband - lattice) S4 C0 J2 y5 ?( D4 k
  Verbindung(sraum) - join of two spaces
) V. }- _/ z  `9 t) }& e* G  Vereinigung - union
  s3 N: r, y& o. p0 \- V% N7 J  g  Verknüpfung - composition law
8 g6 J! K  @5 Y+ o  Verteilung - distribution, law  K2 t( i' }7 E. E3 N9 ^, P
  Verteilungsfunktion - distribution function
& |& s  k5 R  L( N: ?1 \: i% C  Vervollst?ndigung - completion3 ~5 r- O2 L# j- d+ c
  Verzerrung (bei statist. Sch?tzung) - bias% A8 @) }2 X7 o5 E$ e- j
  verzweigte überlagerung - branched covering, V+ Y% ]) O8 F
  Vierscheitelsatz - four vertex theorem
; F1 }2 o0 U( `; H" G6 c/ T& @# N  vollkommen (z.B. K?rper) - perfect  @; U- @6 y3 h
  vollst?ndig (z.B. metrischer Raum, Verband) - complete( g' P) G" L8 k# I5 ~: a
  vollst?ndig normal - completely normal
/ n3 ~. W' N! `8 c4 e5 f  vollst?ndig regul?r - completely regular3 \1 |- F8 o0 s- ]+ Y, P" @4 ~+ y
  vollst?ndige Induktion - complete mathematical induction
/ T* B4 o# E* _$ N  vollst?ndige Induktion - induction
' ]" J2 M) c1 K% _  Vollst?ndigkeit - completeness* c3 I; f1 t  m+ b! q
  Volumen - volume
' }) G; K' `( u" Q1 W: g* b" C  [ W ]
# V0 b0 H1 I) U8 f. U+ {  Wahrscheinlichkeit - probability6 x$ G" n/ C8 H, @
  Wahrscheinlichkeitsma?- probability measure
5 P, q9 ]7 D3 w/ l6 L9 a5 f  Wahrscheinlichkeitsraum - probability space; G6 m$ F7 w1 \, a5 Y/ S
  Wallisches Produkt - Wallis'' product
5 c2 h) x$ t2 Y2 i  W?rmeleitungsgleichung - heat equation7 m% H8 x) k  A5 B: m
  Weg - path
0 y' H. H' E3 U* b  wegzusammenh?ngend - arcwise connected, pathwise connected Wellengleichung
$ ]# ~( H1 r7 j; r3 K  - Wave equation
; W6 w3 i. x" s, |  Wertebereich (einer Funktion) - range of a function! `& I4 F2 O2 M) ^
  wesentliche Singularit?t - essential singularity
) I# ~9 F5 k' h2 b$ c8 Q! q  windschief (Geraden) - skew
5 k1 \! x* H! L4 p5 G: b* _' X8 Z  Winkel - angle
7 Y: j: n! A5 @% t! y  Wohlordnungssatz - well-ordering theorem) `0 R7 `3 L8 f7 ^. y
  Wronski-Determinante - wronskian
% f& ~* e; Z. ^0 ]0 F. @  Wurzel - root
0 Q" ~! ^! ?0 F$ O, k/ X1 h1 w  Wurzelkriterium - root test9 ]3 M9 m. B' N! q# R, K
  [ Z ]
+ B) {' h8 k2 Q  Zahlen - numbers
! _/ m; H( P  p3 Z" m: l5 S& O* p  Z?hlma?- counting measure  K4 k7 k! L5 N$ n0 _2 U) c
  Zentralisator - centralizer2 g7 d( Y) b4 m2 o; |! u6 d
  Zentrum (z.B. einer Gruppe) - center
& A1 ]) w  m4 S  R  Zerf?llungsk?rper - splitting field0 _- k* d6 r' n
  Zerlegung - partition
' B9 |& y: S% n6 Z  ZPE-Ring - UFD-domain (unique factoriation domain)
/ m5 s) K6 `6 ?: N  Zufallsvariable - random variable
8 }4 F4 s0 i7 d( _2 s! z1 N5 w  zusammenh?ngend - connected
$ q( j& k8 j' \0 r0 z; M, R8 f  Zusammenhangskomponente - connected component
' M, ?" z: v# N% `4 E  zusammenziehbar - contractible
+ E) B, w' S3 ]) w6 o  Zwischenk?rper - intermediate field* _. X3 m/ L  S7 {3 n
  Zwischenwertsatz - intermediate value theorem
+ x& _. W+ x0 Z; l  E; \0 y' ]  zyklische Gruppe - cyclic group! d- I+ c  R0 i8 s9 R! G' O+ s
  zyklische Permutation - cycle, cyclic permutation
5 c. I9 \5 _3 w  zyklischer Modul - cyclic module
1 |* K: @3 o  n: x+ X  Zykloide - cycloid
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