idivide — Divide integer values with class-preserving rounded quotients.
idivide(A,B) divides integer A by integer B and returns a quotient in the class of A. idivide(A,B,rounding) selects the rounding rule.
Syntax
C = idivide(A, B)
C = idivide(A, B, rounding)Inputs
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
A | NumericArray | Yes | — | Integer dividend. |
B | NumericArray | Yes | — | Integer divisor. |
rounding | StringScalar | No | "fix" | Rounding mode: "fix", "floor", "ceil", or "round". |
Returns
| Name | Type | Description |
|---|---|---|
C | NumericArray | Bitwise numeric result. |
Errors
| Identifier | When | Message |
|---|---|---|
RunMat:bitwise:InvalidInput | Inputs are not finite integer-valued numeric, logical, or gatherable gpuArray values. | bitwise operation: invalid input |
RunMat:bitwise:SizeMismatch | Input shapes are not compatible for implicit expansion. | bitwise operation: array sizes are not compatible |
RunMat:idivide:DivideByZero | The divisor contains zero. | idivide: division by zero |
RunMat:idivide:Overflow | A rounded quotient cannot be represented in the dividend integer class. | idivide: quotient overflows output class |
How idivide works
- Supports scalar signed and unsigned integer values, plus dense
uint8,uint16, anduint32tensors. - A scalar double operand is accepted when the other operand has a non-64-bit integer class; the result keeps the integer class.
- Dense tensor inputs use MATLAB-compatible scalar expansion when one input is scalar.
- Rounding modes are
fix(default),floor,ceil, andround. - The integer classes of
AandBmust match unless one operand is an allowed scalar double. - Division by zero, two-double calls, double operands with
int64oruint64, unsupported classes, incompatible shapes, and quotient overflow raise errors. - Signed dense integer arrays are not representable in RunMat's current tensor value model; signed scalar integer values are supported.
Examples
Default truncation toward zero
q = idivide(int16(-7), int16(3))Expected output:
q = int16
-2Floor rounding for unsigned arrays
q = idivide(uint16([9 10 11]), 3, 'floor')Expected output:
q = uint16([3 3 3])Using idivide with coding agents
Open a RunMat example with live inputs, then ask the agent to explain how idivide changes the result.
Run a small idivide example, explain the result, then change one input and compare the output.
Related Math functions
Elementwise
abs · angle · bsxfun · complex · conj · double · erf · erfcinv · exp · expm1 · factorial · flintmax · gamma · gammaln · heaviside · hypot · imag · intmax · intmin · ldivide · log · log10 · log1p · log2 · minus · nextpow2 · plus · pow2 · power · rdivide · real · realmax · realmin · realsqrt · rescale · sign · single · sqrt · swapbytes · times · uint32
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
Optim
coneprog · fminbnd · fminunc · fsolve · fzero · integral · linprog · lsqcurvefit · lsqnonlin · optimset · quad · secondordercone
Ops
cross · ctranspose · dot · mldivide · mpower · mrdivide · mtimes · pagemtimes · pagetranspose · trace · transpose
Open-source implementation
Unlike proprietary runtimes, every RunMat function is open-source. Read exactly how idivide is executed, line by line, in Rust.
- View the source for idivide in Rust on GitHub
- Learn how the RunMat runtime works
- Found a bug? Open an issue with a minimal reproduction.
About RunMat
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- 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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