TA的每日心情 | 慵懒 2017-7-12 08:29 |
|---|
签到天数: 7 天 连续签到: 2 天 [LV.3]偶尔看看II 累计签到:7 天 连续签到:2 天
|
楼主 |
发表于 2010-1-21 10:04:56
|
显示全部楼层
Specialized math functions.
3 v; `1 ?+ K4 @7 ~. ?, v' H# E0 q. |$ u# |) Y. s% U" a. _
besselj - Bessel function of the first kind.8 I$ Z6 U" w2 K; k( ^, U
bessely - Bessel function of the second kind.
1 }' }( S7 U" Y# j' K2 ~( T besseli - Modified Bessel function of the first kind." O: H m, Q* C q( D' s7 h2 z( q. `/ ~
besselk - Modified Bessel function of the second kind.
& R, f( _- [- L2 R8 h% K, f6 k/ n( T beta - Beta function.9 q+ w* J& V% u; o6 N4 i( w, A5 I
betainc - Incomplete beta function.
7 v) X* h2 h6 V6 N1 p& V7 g1 E betaln - Logarithm of beta function.# Z2 \& O& |& j" f1 _7 [$ Q. V
elli石皮解 - Jacobi elliptic functions.- B/ M2 d# I6 f8 {7 v5 M& x9 H" E
ellipke - Complete elliptic integral.
& G0 u% a D* i& z. I/ R erf - Error function.) [3 z% o7 ]6 u# M8 Y
erfc - Complementary error function.0 a- g/ e8 p) k) O: W
erfcx - Scaled complementary error function.
9 Q6 |) \% e9 W' o9 z erfinv - Inverse error function.2 r5 k: z4 r- H" O& ~+ ~3 E
expint - Exponential integral function.1 a- w# u. b6 Y5 G9 S) {9 z4 N* ~
gamma - Gamma function.
# C# q7 q U* v gcd - Greatest common divisor.% @0 j: @- P# d$ s( E$ Y0 \ N1 X
gammainc - Incomplete gamma function.4 l! U8 g! p" |8 O/ q& r& `
lcm - Least common multiple.
4 v. y2 q8 n, D$ o legendre - Associated Legendre function.. b- z6 n7 c+ ^* D2 \ E
gammaln - Logarithm of gamma function.9 [ j. d9 {" V* Z0 `4 S
log2 - Dissect floating point numbers.! j6 q/ x0 {5 ] W& ^" |3 l
pow2 - Scale floating point numbers.2 h9 d4 _7 C9 q( a) n/ ]
rat - Rational approximation.# y. F4 c# |6 B2 L$ i- j; B
rats - Rational output.1 t2 F% c6 W1 Q7 v( ]! T
cart2sph - Transform from Cartesian to spherical coordinates.
0 c' Z/ j. P! V) b cart2pol - Transform from Cartesian to polar coordinates.' W& F* Q7 V* l* r3 q& u
pol2cart - Transform from polar to Cartesian coordinates.! u5 C. ?, c4 L0 F8 t( K6 w7 [* J
sph2cart - Transform from spherical to Cartesian coordinates.
' H7 t" w! A6 x3 u H+ c) E- ]6 B/ k5 |
0 m& ^6 s" K$ P" b* @>> help matfun
3 F# l( v1 h9 r" Z L
! ^1 [& W" W7 p! | Matrix functions - numerical linear algebra.
" D# |# K: Y9 c- Z: i' ^1 Q4 H0 ]* o0 ~0 s6 Q, I
Matrix analysis.9 { K- s; L7 Q3 Q' h0 A
cond - Matrix condition number.
8 _4 V6 y, N/ {! D, j/ q norm - Matrix or vector norm.
$ H* f: ]# t) n* \9 v7 D. f: z rcond - LINPACK reciprocal condition estimator.
1 J, J$ h3 N# E/ b8 h% d* t# O* A rank - Number of linearly independent rows or columns.! Y; Q7 h- y2 p& d2 L- l/ t
det - Determinant.6 L) S5 E7 D |" P6 \! ?$ G# t
trace - Sum of diagonal elements.9 k1 t# u% V1 m2 k6 y( W% a1 L
null - Null space.8 E( n( L' \' d, O' ?
orth - Orthogonalization.2 L1 X& _8 ?: s' `& C" n7 z
rref - Reduced row echelon form.
) x0 E! S* u* A% K& S8 H1 P3 n! ?' d3 [& l; f' x3 a, B
Linear equations./ Y* A+ c. _; Q1 x
\ and / - Linear equation solution; use "help slash".3 b" b6 {$ L8 P- H# F* ?& v/ J
chol - Cholesky factorization.
1 g, |4 y1 k& I0 K# \% v& z lu - Factors from Gaussian elimination.
3 ~& {& G+ d! L' K& j/ z inv - Matrix inverse.
* k# [9 Y: `8 s* \6 T7 x1 f qr - Orthogonal-triangular decomposition.
% |* q! s. u; M) M/ d qrdelete - Delete a column from the QR factorization.
4 ~( D6 C9 R8 B: E$ }8 B: s( V% D B* Q qrinsert - Insert a column in the QR factorization.
$ G/ U- J7 v, K% e' c nnls - Non-negative least-squares.
# Q) O+ h) b1 j, P/ ~/ T- r pinv - Pseudoinverse.
4 ?/ g; {; ?3 W3 f3 T7 x6 `9 c: y# F lscov - Least squares in the presence of known covariance.
3 N: L' N- z: Q& ^! J
5 _1 g) q2 T( D9 k Eigenvalues and singular values.
1 g+ W0 e% C/ h" @" q) ? eig - Eigenvalues and eigenvectors.
P7 r& W$ C' h* v9 O6 p, k0 V poly - Characteristic polynomial.
f! @$ _0 |! \- E) N# { polyeig - Polynomial eigenvalue problem.1 ?% C$ U( _0 j$ X8 i
hess - Hessenberg form.
& k/ }4 F. r8 \+ ? `6 | qz - Generalized eigenvalues./ X) i* Q0 X4 H7 s5 q
rsf2csf - Real block diagonal form to complex diagonal form.2 Z1 K. k; Q$ c, o- z' R
cdf2rdf - Complex diagonal form to real block diagonal form.7 u8 Y2 { F+ C, y! q6 _$ [ I
schur - Schur decomposition.
* ]2 e5 v# t9 }& @7 F5 z% f balance - Diagonal scaling to improve eigenvalue accuracy.
: i* l X! [# f( A- m* S1 Q* l svd - Singular value decomposition.
9 q, c) u6 D' ]% m5 D& o- z. v! _/ j- l6 X4 I t8 g
Matrix functions.
, Z9 Z- y+ Z& T$ e* A expm - Matrix exponential.
4 H' m, R% f: l8 |# W9 v expm1 - M-file implementation of expm./ C% h" R* c: W$ r0 S6 n
expm2 - Matrix exponential via Taylor series.1 l. ~8 S6 O7 |
expm3 - Matrix exponential via eigenvalues and eigenvectors.) i/ A3 g0 h9 Q9 i) @- `6 o3 W) ^
logm - Matrix logarithm.) y1 Y, `8 v8 S% c: g, `4 G2 P
sqrtm - Matrix square root.5 _+ r9 V2 l, S- H. Y/ b% H2 F
funm - Evaluate general matrix function. |
|