I just want to know if both these two MiniZinc solver use infinite precision arithmetic by default.
Do Gecode and G12 (MIP) use infinite precision arithmetic?
158 views Asked by Francesco Contaldo At
1
There are 1 answers
Related Questions in MINIZINC
- Pytorch install with anaconda error
- How should I save the model of PyTorch if I want it loadable by OpenCV dnn module
- PyTorch: memorize output from several layers of sequencial
- in Pytorch, restore the model parameters but the same initial loss
- Seq2seq pytorch Inference slow
- Why does autograd not produce gradient for intermediate variables?
- pytorch inception model outputs the wrong label for every input image
- "expected CPU tensor(got CUDA tensor)" error for PyTorch
- Float16 (HalfTensor) in pytorch + cuda
- Access parameter names in torch
Related Questions in GECODE
- Pytorch install with anaconda error
- How should I save the model of PyTorch if I want it loadable by OpenCV dnn module
- PyTorch: memorize output from several layers of sequencial
- in Pytorch, restore the model parameters but the same initial loss
- Seq2seq pytorch Inference slow
- Why does autograd not produce gradient for intermediate variables?
- pytorch inception model outputs the wrong label for every input image
- "expected CPU tensor(got CUDA tensor)" error for PyTorch
- Float16 (HalfTensor) in pytorch + cuda
- Access parameter names in torch
Related Questions in FLATZINC
- Pytorch install with anaconda error
- How should I save the model of PyTorch if I want it loadable by OpenCV dnn module
- PyTorch: memorize output from several layers of sequencial
- in Pytorch, restore the model parameters but the same initial loss
- Seq2seq pytorch Inference slow
- Why does autograd not produce gradient for intermediate variables?
- pytorch inception model outputs the wrong label for every input image
- "expected CPU tensor(got CUDA tensor)" error for PyTorch
- Float16 (HalfTensor) in pytorch + cuda
- Access parameter names in torch
Related Questions in MZN2FZN
- Pytorch install with anaconda error
- How should I save the model of PyTorch if I want it loadable by OpenCV dnn module
- PyTorch: memorize output from several layers of sequencial
- in Pytorch, restore the model parameters but the same initial loss
- Seq2seq pytorch Inference slow
- Why does autograd not produce gradient for intermediate variables?
- pytorch inception model outputs the wrong label for every input image
- "expected CPU tensor(got CUDA tensor)" error for PyTorch
- Float16 (HalfTensor) in pytorch + cuda
- Access parameter names in torch
Popular Questions
- How do I undo the most recent local commits in Git?
- How can I remove a specific item from an array in JavaScript?
- How do I delete a Git branch locally and remotely?
- Find all files containing a specific text (string) on Linux?
- How do I revert a Git repository to a previous commit?
- How do I create an HTML button that acts like a link?
- How do I check out a remote Git branch?
- How do I force "git pull" to overwrite local files?
- How do I list all files of a directory?
- How to check whether a string contains a substring in JavaScript?
- How do I redirect to another webpage?
- How can I iterate over rows in a Pandas DataFrame?
- How do I convert a String to an int in Java?
- Does Python have a string 'contains' substring method?
- How do I check if a string contains a specific word?
Popular Tags
Trending Questions
- UIImageView Frame Doesn't Reflect Constraints
- Is it possible to use adb commands to click on a view by finding its ID?
- How to create a new web character symbol recognizable by html/javascript?
- Why isn't my CSS3 animation smooth in Google Chrome (but very smooth on other browsers)?
- Heap Gives Page Fault
- Connect ffmpeg to Visual Studio 2008
- Both Object- and ValueAnimator jumps when Duration is set above API LvL 24
- How to avoid default initialization of objects in std::vector?
- second argument of the command line arguments in a format other than char** argv or char* argv[]
- How to improve efficiency of algorithm which generates next lexicographic permutation?
- Navigating to the another actvity app getting crash in android
- How to read the particular message format in android and store in sqlite database?
- Resetting inventory status after order is cancelled
- Efficiently compute powers of X in SSE/AVX
- Insert into an external database using ajax and php : POST 500 (Internal Server Error)
Neither Gecode nor the G12 solvers support infinite precision. Both these solvers and all other MiniZinc solvers that I'm aware of only support floating point arithmetic. This is partially because the MiniZinc compiler does not have support for infinite precision, (see How to obtain an exact infinite-precision representation of rational numbers via a non-standard FlatZinc extension?).