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Specialized math functions.
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* P, `" y7 V: u( Y! n besselj - Bessel function of the first kind.2 q1 g: P; _1 L& I4 F* ]
bessely - Bessel function of the second kind.7 A' C0 ^( r0 b( r+ i
besseli - Modified Bessel function of the first kind.
( `! i3 h1 M/ L9 x5 C' S! k besselk - Modified Bessel function of the second kind.5 K m+ F7 J* J# @( M6 J0 h
beta - Beta function./ `( T' Q! O w7 f: K! c( i
betainc - Incomplete beta function., n* p) F F2 C# j7 O
betaln - Logarithm of beta function.
\* ?" G$ }" j- \; s elli石皮解 - Jacobi elliptic functions.4 _4 _4 q0 M* Q7 \, E
ellipke - Complete elliptic integral.2 ^5 O1 |5 r# ^* N s, V
erf - Error function.2 R1 o# T# }0 l5 H B
erfc - Complementary error function.
8 P+ ]$ B1 o, T# `+ b2 A erfcx - Scaled complementary error function.
: m& @8 @% I9 l2 t5 |9 y Y erfinv - Inverse error function.
, p+ v- ?: `$ F% o expint - Exponential integral function.
( y7 R6 P. }, y/ l8 h+ i: X gamma - Gamma function.2 [4 F% L2 w* @8 {+ j
gcd - Greatest common divisor.
. z4 W0 ^8 F( f) F! e gammainc - Incomplete gamma function.
0 J8 K2 {/ K, ?0 G- L+ j5 f8 q lcm - Least common multiple.
# A& g f0 w8 z) s0 b8 [ x legendre - Associated Legendre function.
5 Q) S; T; f/ Y gammaln - Logarithm of gamma function.
+ F. b/ J2 P& p b6 n log2 - Dissect floating point numbers.2 M2 U& v' m3 L4 F* m4 n! q
pow2 - Scale floating point numbers.
/ ?8 B, p7 F+ Z- z rat - Rational approximation.( w. N7 h" a, D5 N3 B5 Y) Z
rats - Rational output.
5 V$ v1 @# f+ J3 I4 F$ m. T7 h cart2sph - Transform from Cartesian to spherical coordinates.7 k/ ^1 T0 y, |* L( v$ b
cart2pol - Transform from Cartesian to polar coordinates.: W7 a& o. m3 A. ]5 Z4 Q2 c
pol2cart - Transform from polar to Cartesian coordinates. b' Z, S" G0 e$ n0 ?6 X
sph2cart - Transform from spherical to Cartesian coordinates.: t, m* S1 i+ W/ ?$ O
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>> help matfun$ @ L/ h6 |+ h) ^9 P; r
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Matrix functions - numerical linear algebra.8 B8 ~ `! Q) S
' A$ n# A4 p! N: s/ e% M Matrix analysis.& C- O6 ~. }& }7 }; c
cond - Matrix condition number. G4 d' J9 s( I- S
norm - Matrix or vector norm.
5 r: a5 H( j9 V! A! ^- }; W3 V rcond - LINPACK reciprocal condition estimator.
" ]$ V) x! v* ` rank - Number of linearly independent rows or columns.# F5 M+ o/ }2 ?5 O0 X- l' \1 l, p
det - Determinant.. M% b, k3 E* H3 G! T' [
trace - Sum of diagonal elements.
* D2 a# z+ `% d6 \ null - Null space.: ^$ m8 x6 a6 G* H" u& d
orth - Orthogonalization.7 o' l: l( V [$ i* @7 @
rref - Reduced row echelon form.
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( n( ] w1 L# i Linear equations.* l/ p3 s' R* s: x/ p" Z
\ and / - Linear equation solution; use "help slash".; u" X% D$ L. i$ E7 D9 }1 x7 X
chol - Cholesky factorization.
% ?4 U. C* T( L. X, y5 I) Z( R lu - Factors from Gaussian elimination.- O# r) }' w+ [' K; O8 J
inv - Matrix inverse.7 ]% | [2 |, R' g4 x* i" D
qr - Orthogonal-triangular decomposition.
4 }; N* O. L( \# l% J* i6 ?8 C2 e qrdelete - Delete a column from the QR factorization.
5 l. r$ I/ ^ |$ t, M5 p$ r/ l qrinsert - Insert a column in the QR factorization.
/ T4 G+ y: `" i+ D. {4 c, R nnls - Non-negative least-squares.' D6 ~3 j; o i/ B$ H7 u
pinv - Pseudoinverse.
: W2 w: I- p6 V* u/ ^+ l! M lscov - Least squares in the presence of known covariance.
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Eigenvalues and singular values.
. W/ ~& y, v5 L eig - Eigenvalues and eigenvectors.
' l3 { X) E$ I/ N/ U poly - Characteristic polynomial.
$ Z1 \, _4 \' w5 J polyeig - Polynomial eigenvalue problem.8 M! C: s& w; C N8 B1 s: A, n/ k
hess - Hessenberg form.5 E6 ?$ \9 r7 F- g# i& l% t
qz - Generalized eigenvalues.
" b6 p8 z( ` v' y( B5 H3 D rsf2csf - Real block diagonal form to complex diagonal form.3 l3 z# t) `" @: e) x, N, v" `
cdf2rdf - Complex diagonal form to real block diagonal form.
: }4 |: W: [2 A) | schur - Schur decomposition.
6 f2 f# ~$ a7 }4 m I. v5 C3 X2 H balance - Diagonal scaling to improve eigenvalue accuracy.8 P/ k ~5 o% c' B4 G
svd - Singular value decomposition.4 O) ^/ q" L& E. J& i! c/ q$ e! ^
- W# f, x a0 \! m Matrix functions.
+ @" J4 n Z0 }) f% p. J( g5 g expm - Matrix exponential.
$ b7 {4 i' L4 `! u) } expm1 - M-file implementation of expm.
# B, }. t' i% ]8 S) ?) v1 D expm2 - Matrix exponential via Taylor series.
: C1 h/ c; b7 m- y expm3 - Matrix exponential via eigenvalues and eigenvectors.+ X" } ~8 S* _1 M K6 l
logm - Matrix logarithm.0 l2 J$ k& k+ Y& R4 j0 h' d
sqrtm - Matrix square root.) I& N% P6 d/ i8 X8 ^* `3 H' H% c C
funm - Evaluate general matrix function. |
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