| Function |
Purpose
Statement |
| chiSquaredCdf |
Evaluates the
chi-squared
distribution function. |
| chiSquaredInverseCdf |
Evaluates the inverse
of the chi-squared
distribution function. |
| chiSquaredTest |
Performs a chi-squared
goodness-of-fit test. |
| constant |
Returns the value of
various mathematical
and physical constants. |
| constrainedNlp |
Solves a general
nonlinear programming
problem using a
sequential equality
constrained quadratic
programming method. |
| convexity |
Evaluates the convexity
for a security. |
| convolution |
Computes the
convolution, and
optionally, the
correlation of two real
vectors. |
| convolutioncomplex |
Computes the
convolution, and
optionally, the
correlation of two
complex vectors. |
| couponDays |
Evaluates the number of
days in the coupon
period that contains
the settlement date. |
| couponNumber |
Evaluates the number of
coupons payable between
the settlement date and
maturity date. |
| covariances |
Computes the sample
variance-covariance or
correlation matrix. |
| ctime |
Returns the number of
CPU seconds used. |
| cubSplineIntegral |
Computes the integral
of a cubic spline. |
| cubSplineInterpECnd |
Computes a cubic spline
interpolant, specifying
various endpoint
conditions. |
| cubSplineInterpShape |
Computes a
shape-preserving cubic
spline. |
| cubSplineSmooth |
Computes a smooth cubic
spline approximation to
noisy data by using
cross-validation to
estimate the smoothing
parameter or by
directly choosing the
smoothing parameter. |
| cubSplineTcb |
Computes a
tension-continuity-bias
(TCB) cubic spline
interpolant. This is
also called a
Kochanek-Bartels spline
and is a generalization
of the Catmull–Rom
spline. |
| cubSplineValue |
Computes the value of a
cubic spline or the
value of one of its
derivatives. |
| cumulativeInterest |
Evaluates the
cumulative interest
paid between two
periods. |
| cumulativePrincipal |
Evaluates the
cumulative principal
paid between two
periods. |