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Identifying when greedy method gives optimum solution
I was looking at this problem on leetcode
https://leetcode.com/problems/minimum-number-of-operations-to-convert-time/description/
The hints tell us to follow a greedy approach where we convert the tim...
Clarence Callahan
Votes: 0
Answers: 1
solving system of 16 nonlinear equations with 16 unknowns
I am trying to solve a system of 16 nonlinear equations that has 16 unknowns using lsqnonlin.
my variables are all depend on other equations (exp: SegmaD is unknown and defined as (SegmaD= EpR2Teta) t...
Eline Issa
Votes: 0
Answers: 1
SciPy minimization of a SimPy simulation says 'Inequality constraints incompatible' when using only an eq constraint
So I'm trying to maximize the output of a queue chain, and after building the whole simulation I applied the "- minimization" approach. The code does run, but when I check the results, all I...
user18368547
Votes: 0
Answers: 1
Why are the optimized solutions different with scipy.optimize.minimize with small variations in initial guesses?
I am working on a detailed code that requires optimization, which I have simplified for the MWE. I am trying to find the optimal value of arg_opt that minimizes the value that is obtained from a diffe...
Tom Kurushingal
Votes: 0
Answers: 1