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floor — Round values toward negative infinity in MATLAB and RunMat.

floor(X) rounds each element of X toward negative infinity, returning the greatest integer less than or equal to each input value. Optional forms support decimal-place and significant-digit rounding, with 'like' residency/type behavior following MATLAB semantics.

Syntax

Y = floor(X)
Y = floor(X, N)
Y = floor(X, N, mode)
Y = floor(X, "like", prototype)

Inputs

NameTypeRequiredDefaultDescription
XAnyYesNumeric, logical, char, or complex input.
NNumericScalarNo0Digits for decimal-place rounding.
NNumericScalarYesDigits argument.
modeStringScalarYes"decimals"Rounding mode ('decimals' or 'significant').
likeKeywordStringScalarYes"like"Output-template keyword.
prototypeLikePrototypeYesOutput prototype (numeric or gpuArray).

Returns

NameTypeDescription
YNumericArrayRounded output values.

Errors

IdentifierWhenMessage
RunMat:floor:InvalidInputInput cannot be interpreted as numeric, logical, char, or complex data.floor: invalid input
RunMat:floor:InvalidArgumentArgument count does not match supported floor invocation forms.floor: invalid argument
RunMat:floor:InvalidDigitsN is not an integer scalar or violates significant-digit constraints.floor: invalid digits argument

How floor works

  • Works on scalars, vectors, matrices, and higher-dimensional tensors with MATLAB broadcasting semantics.
  • floor(X, N) rounds toward negative infinity with N decimal digits (positive N) or powers of ten (negative N).
  • floor(X, N, 'significant') rounds to N significant digits; N must be a positive integer.
  • Logical inputs are promoted to doubles (false → 0, true → 1) before flooring.
  • Character arrays are interpreted numerically (their Unicode code points) and return dense double tensors.
  • Complex inputs are floored component-wise: floor(a + bi) = floor(a) + i·floor(b).
  • Non-finite values (NaN, Inf, -Inf) propagate unchanged.
  • Empty arrays return empty arrays of the appropriate shape.
  • Appending 'like', prototype forces the result to match the residency of prototype (CPU or GPU). Currently prototypes must be numeric.

Does RunMat run floor on the GPU?

When tensors already reside on the GPU, RunMat consults the active acceleration provider. If the provider implements the unary_floor hook, floor(X) executes entirely on the device and keeps tensors resident. When decimal or significant-digit rounding is requested—or when the provider lacks unary_floor—RunMat gathers the tensor to host memory, applies the CPU implementation, and honours any 'like' GPU prototype by uploading the result back to the device. This keeps semantics consistent even when specialised kernels are unavailable.

GPU memory and residency

A = [1.8 -0.2; 2.7 3.4];
proto = gpuArray(0);
G = floor(A, 'like', proto);   % Result remains on the GPU
result = gather(G);

Expected output:

result =
    [ 1 -1;
      2  3]

Examples

Flooring positive and negative scalars

x = [-2.7, -0.3, 0, 0.8, 3.9];
y = floor(x)

Expected output:

y = [-3, -1, 0, 0, 3]

Flooring every element of a matrix

A = [1.2 4.7; -3.4 5.0];
B = floor(A)

Expected output:

B = [1 4; -4 5]

Flooring fractions stored in a tensor

t = reshape([-1.8, -0.2, 0.4, 1.9, 2.1, 3.6], [3, 2]);
floored = floor(t)

Expected output:

floored =
    [-2  1;
     -1  2;
      0  3]

Flooring values to a fixed number of decimal places

temps = [21.456 19.995 22.501];
floored = floor(temps, 2)

Expected output:

floored = [21.45 19.99 22.50]

Flooring to significant digits

measurements = [0.001234 12.3456 98765];
sig2 = floor(measurements, 2, 'significant')

Expected output:

sig2 = [0.0012 12.0 98000]

Flooring complex numbers component-wise

z = [1.7 + 2.1i, -0.2 - 3.9i];
result = floor(z)

Expected output:

result = [1 + 2i, -1 - 4i]

Keeping GPU data on device when the provider supports unary_floor

G = gpuArray([1.8 -0.2 0.0; -1.1 2.5 -3.4]);
floored = floor(G);
H = gather(floored)

Expected output:

H =
    [ 1 -1  0;
     -2  2 -4]

Forcing GPU residency with a 'like' prototype

A = [1.8 -0.2; 2.7 3.4];
proto = gpuArray(0);
G = floor(A, 'like', proto);   % Result remains on the GPU
result = gather(G)

Expected output:

result =
    [ 1 -1;
      2  3]

Using floor with coding agents

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

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

FAQ

Does floor always round toward negative infinity?

Yes—positive values round down toward zero, while negative values round to the more negative integer (e.g., floor(-0.1) = -1).

How are complex numbers handled?

The real and imaginary parts are floored independently, matching MATLAB's component-wise definition.

Can I round to decimal digits or significant digits?

Yes. Use floor(X, N) for decimal digits or floor(X, N, 'significant') for significant digits. Negative N values round to powers of ten.

What happens with logical arrays?

Logical values promote to doubles (0 or 1) before flooring, so the outputs remain 0 or 1.

Can I pass character arrays to floor?

Yes. Character data is treated as its numeric code points, producing a double tensor of the same size.

Do NaN and Inf values change?

No. Non-finite inputs propagate unchanged.

Will GPU execution change floating-point results?

No. Providers implement IEEE-compliant flooring; when a provider lacks unary_floor, RunMat falls back to the CPU to preserve MATLAB-compatible behaviour.

Does 'like' work with floor?

Yes. Append 'like', prototype to request output that matches the prototype's residency. Currently prototypes must be numeric (scalars or dense tensors, host or GPU).

Can fusion keep floor on the GPU?

Yes. floor participates in elementwise fusion, so fused graphs can stay resident on the device when supported.

What does floor do in MATLAB?

floor(X) rounds each element of X toward negative infinity. For example, floor(2.7) returns 2 and floor(-2.3) returns -3.

What is the difference between floor and fix in MATLAB?

floor rounds toward negative infinity, while fix rounds toward zero. For positive numbers the result is the same, but for negative numbers they differ: floor(-2.7) returns -3, while fix(-2.7) returns -2.

Does floor work with GPU arrays in RunMat?

Yes. RunMat automatically accelerates floor on the GPU with elementwise fusion support. Supported precisions include f32 and f64 with MATLAB-compatible broadcasting.

Rounding

ceil · fix · mod · rem · round

Elementwise

abs · angle · complex · conj · double · exp · expm1 · factorial · gamma · hypot · imag · ldivide · log · log10 · log1p · log2 · minus · nextpow2 · plus · pow2 · power · rdivide · real · sign · single · sqrt · times

Trigonometry

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

Reduction

all · any · cummax · cummin · cumprod · cumsum · cumtrapz · diff · gradient · max · mean · median · min · nnz · prod · std · sum · trapz · var

Signal

blackman · conv · conv2 · deconv · filter · hamming · hann · sawtooth · sinc · square

Factor

chol · eig · lu · qr · svd

Solve

cond · det · inv · linsolve · norm · pinv · rank · rcond

Fft

fft · fft2 · fftshift · ifft · ifft2 · ifftshift

Interpolation

interp1 · interp2 · pchip · ppval · spline

Ode

ode15s · ode23 · ode45

Open-source implementation

Unlike proprietary runtimes, every RunMat function is open-source. Read exactly how floor is executed, line by line, in Rust.

About RunMat

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