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Questions - exp

Setting constraints with variables as exponents in PySCIPOpt

I want to solve an MINLP problem with SCIP in Python and therefore use PySCIPOpt. I already introduced the variables, the objective function, and set the constraints (as far as it was possible, given ...
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LukPau

scip

exp

pyscipopt

Votes: 0

Answers: 1

Latest Answer

I believe you can model this with PySCIPOpt, by taking into account that Which for your exponential yields So I think your constraint can then be modeled like this: model.addCons( x_1 * x_2 * (exp((...
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J. Dionisio

derive exponential function using log() in C

I am trying to derive exponential function using logarithms. I know from below equation log(22026.4657948067), is 10 and exp(10) is 22026.4657948067 I would like to understand the basic math behind ex...
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Coder

c

logarithm

exp

natural-logarithm

c

logarithm

exp

natural-logarithm

Votes: 0

Answers: 2

Latest Answer

There's no "conversion logic". They're both transcendental functions and there's no nice way to implement one in terms of the other. Since they're inverses, you could use Newton's method or ...
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hobbs

Implementation of NumPy exponential function

I'm trying to perform an evaluation of total floating-point operations (FLOPs) of a neural network. My problem is the following. I'm using a sigmoid function. My question is how to eval the FLOPs of t...
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boubasse

python

numpy

exp

Votes: 0

Answers: 1

Latest Answer

I looked into it for a bit and what i found is that numpy indeed uses the C implementation as seen here. Tensorflow though doesnt use nmpy implementation, instead it uses the scalar_logistics_opfuncti...
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Eumel

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