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RunMat™ is a registered trademark of Dystr, Inc. MATLAB® is a registered trademark of The MathWorks, Inc. RunMat is not affiliated with, endorsed by, or sponsored by The MathWorks, Inc.

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Builtin Reference
    • abs
    • angle
    • bsxfun
    • complex
    • conj
    • double
    • erf
    • erfcinv
    • exp
    • expm1
    • factorial
    • flintmax
    • gamma
    • gammaln
    • heaviside
    • hypot
    • idivide
    • imag
    • intmax
    • intmin
    • ldivide
    • log
    • log10
    • log1p
    • log2
    • minus
    • nextpow2
    • plus
    • pow2
    • power
    • rdivide
    • real
    • realmax
    • realmin
    • realsqrt
    • rescale
    • sign
    • single
    • sqrt
    • swapbytes
    • times
    • typecast
    • uint16
    • uint32
    • uint8

gammaln — Compute the natural logarithm of the gamma function element-wise in MATLAB and RunMat.

Y = gammaln(A) evaluates log(gamma(A)) for real nonnegative inputs while avoiding the overflow that can occur when computing gamma(A) first.

Syntax

Y = gammaln(A)

Inputs

NameTypeRequiredDefaultDescription
AAnyYes—Real nonnegative numeric input.

Returns

NameTypeDescription
YNumericArrayNatural logarithm of the gamma function.

Errors

IdentifierWhenMessage
RunMat:gammaln:InvalidInputInput cannot be interpreted as real, nonsparse numeric data.gammaln: invalid input
RunMat:gammaln:DomainAt least one real input value is negative.gammaln: input must be nonnegative
RunMat:gammaln:InternalInternal tensor construction or provider interaction failed.gammaln: internal error

How gammaln works

  • gammaln(A) applies the log-gamma function element-by-element while preserving the input tensor shape.
  • Double inputs return double results; single tensors preserve single dtype metadata with single-rounded output values.
  • gammaln(0) returns Inf; gammaln(Inf) returns Inf; gammaln(NaN) returns NaN.
  • Typed integer, logical, and character inputs are separate RunMat-only extensions and are rejected in strict compatibility mode.
  • The integer extension admits all eight classes only when every value is exactly representable as binary64; output is double.
  • Negative, complex, string, and sparse inputs produce stable typed errors.
  • Real GPU tensors stay with their owning provider. Native output is validated for shape, precision, real storage, and ownership; all fallback results are restored to that owner.

GPU memory and residency

Yes for admitted gpuArray inputs. Documented floating inputs use validated native output when possible; host fallback and RunMat-only integer or logical extension paths upload the result back to the original owning provider.

Examples

Evaluate the log-gamma function at a scalar

y = gammaln(5)

Expected output:

y = 3.1781

Evaluate a half-integer input

y = gammaln(0.5)

Expected output:

y = 0.5724

Apply gammaln element-wise to an array

A = [0.5 1 2 5];
Y = gammaln(A)

Expected output:

Y = [0.5724 0 0 3.1781]

Avoid gamma overflow for large inputs

y = gammaln(171)

Expected output:

y = 706.5731

Run gammaln on GPU data

G = gpuArray([0.5 1 5]);
out = gammaln(G);
result = gather(out)

Expected output:

result = [0.5724 0 3.1781]

Using gammaln with coding agents

Open a RunMat example with live inputs, then ask the agent to explain how gammaln changes the result.

Run a small gammaln example, explain the result, then change one input and compare the output.

FAQ

Why use gammaln(A) instead of log(gamma(A))?⌄

gammaln evaluates the logarithm directly, so large positive inputs can remain finite even when gamma(A) would overflow before the logarithm is taken.

Does gammaln support complex or negative inputs?⌄

No. MATLAB documents gammaln for real nonnegative input, and RunMat reports typed errors for complex and negative values.

Can gammaln run on GPU arrays?⌄

Yes for real nonnegative single or double tensors. A valid native result stays resident; otherwise RunMat gathers, computes, and uploads the precision-preserving result back to the input's owning provider.

Related Math functions

Elementwise

abs · angle · bsxfun · complex · conj · double · erf · erfcinv · exp · expm1 · factorial · flintmax · gamma · heaviside · hypot · idivide · imag · intmax · intmin · ldivide · log · log10 · log1p · log2 · minus · nextpow2 · plus · pow2 · power · rdivide · real · realmax · realmin · realsqrt · rescale · sign · single · sqrt · swapbytes · times · typecast · uint16 · uint32 · uint8

Trigonometry

acos · acosh · asin · asinh · atan · atan2 · atanh · cos · cosd · cosh · cospi · deg2rad · pol2cart · rad2deg · sin · sind · sinh · sinpi · tan · tand · tanh

Reduction

all · any · bounds · cummax · cummin · cumprod · cumsum · cumtrapz · diff · gradient · max · maxk · mean · median · min · mink · movmax · movmean · movmedian · movmin · movprod · movstd · movsum · movvar · nnz · prod · rms · std · sum · trapz · var

Structure

bandwidth · isdiag · ishermitian · issymmetric · istril · istriu · symrcm

Signal

blackman · butter · buttord · cheb2ord · conv · conv2 · deconv · downsample · envelope · filter · filtfilt · fir1 · freqz · gauspuls · hamming · hann · hilbert · periodogram · pulstran · pwelch · rectpuls · resample · sawtooth · sinc · spectrogram · square · tripuls · unwrap · upsample · zplane

Rounding

ceil · fix · floor · mod · rem · round

Factor

chol · decomposition · eig · eigs · lu · qr · svd

Solve

cond · det · inv · linsolve · norm · null · pinv · rank · rcond · rref · vecnorm

Optim

coneprog · fminbnd · fminunc · fsolve · fzero · integral · linprog · lsqcurvefit · lsqnonlin · optimoptions · optimset · quad · secondordercone

Ops

cross · ctranspose · dot · mldivide · mpower · mrdivide · mtimes · pagemtimes · pagetranspose · trace · transpose

Symbolic

digits · int · limit · piecewise · sym · syms · vpa

Fft

fft · fft2 · fftn · fftshift · ifft · ifft2 · ifftn · ifftshift

Interpolation

griddedInterpolant · interp1 · interp1q · interp2 · pchip · ppval · spline

Discrete

lcm · primes

Ode

ode15s · ode23 · ode45

Poly

polyder · polyfit · polyint · polyval · roots

About RunMat

RunMat is an open-source runtime that executes MATLAB-syntax code blazing on any GPU. It is licensed under the Apache 2.0 license.

  • RunMat automatically optimizes your math for GPU execution on Apple, Nvidia, and AMD hardware. No code changes needed. Simulations that took hours now take minutes.
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On this page
  • Syntax
  • Inputs
  • Returns
  • Errors
  • How gammaln works
  • GPU memory and residency
  • Examples
  • Evaluate the log-gamma function at a scalar
  • Evaluate a half-integer input
  • Apply gammaln element-wise to an array
  • Avoid gamma overflow for large inputs
  • Run gammaln on GPU data
  • Using gammaln with coding agents
  • FAQ
  • Related Math functions
  • Elementwise
  • Trigonometry
  • Reduction
  • Structure
  • Signal
  • Rounding
  • Factor
  • Solve
  • Optim
  • Ops
  • Symbolic
  • Fft
  • Interpolation
  • Discrete
  • Ode
  • Poly
  • About RunMat