The SciPy reference defines the problem as minimising F(x) = 0.5 * sum(ρ(f_i(x)²)) subject to lower and upper bounds on x, where f is the vector of residuals and ρ is a loss function. With the default ...
Error conditions are descriptive, human-readable strings that unique to the error they describe. You can use error conditions to programmatically handle errors in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results