minimize

Hey, I'm really stuck with my project here... I need to know when any open window has been minimized / restored and Handle the event in my own App. Any ideas? Edit: Musigenesis is right, i do want to know when OTHER applications are minimized/restored I think you would need to use the SetWindowsHookEx Win32 API function (along with a few others). Basically, you would iterate through all open windows in the OS and hook into their resizing events. Obligatory comment: are you sure you need to do this? While I think this is theoretically possible, it sounds like a pretty bad idea, and counter to

I'm using scipy.optimize.minimize for unrestricted optimization of an objective function which receives a couple of parameters and runs a complex numerical simulation based on these parameters. This simulation does not always converge in which case I make the objective function return inf, in some cases, in others NaN. I thought that this hack would prevent the minimization from converging anywhere near a set of parameters that makes the simulation diverge. Instead, I encountered a case where the simulation won't even converge for the starting set of parameters but instead of failing, the

I work with the scipy.optimize.minimize function. My purpose is get w,z which minimize f(w,z) Both w and z are n by m matrices: [[1,1,1,1], [2,2,2,2]] f(w,z) is receive parameter w and z. I already tried the form given below: def f(x): w = x[0] z = x[1] ... minimize(f, [w,z]) but, minimize does not work well. What is the valid form to put two matrices ( n by m ) into scipy.optimize.minimize ? Optimize needs a 1D vector to optimize. You are on the right track. You need to flatten your argument to minimize and then in f , start with x = np.reshape(x, (2, m, n)) then pull out w and z and you

I have a c# .net app. So I created a notifyIcon that sits in the tray. What I want to do is when the user hits the "x" button on the form, I want it to close to the tray. They should only be able to exit program by using the context menu in the tray icon. So what I did was, on the form close event, I check whether the form is visible. If its visible, i set it to invisible and set showInTaskbar to false (simulating minimize to tray) If the form is invisible already, then they are probably closing it from the tray, so I will exit the program in that case. However, the problem I have is that if

I am learning to optimize a multivariate constrained nonlinear problem with scipy.optimize.minimize ,but received strange results. My problem: minimize objfun objfun x*y constraints 0<=x<=5, 0<=y<=5, x+y==5 My code: from scipy import optimize def func(x): return x[0]*x[1] bnds=((0,100),(0,5)) cons=({'type':'eq','fun':lambda x:x[0]+x[1]-5}) x0=[0,0] res= optimize.minimize(func,x0,method='SLSQP',bounds=bnds,constraints=cons) Received results: status: 0 success: True njev: 2 nfev: 8 fun: 6.2499999999999991 x: array([ 2.5, 2.5]) message: 'Optimization terminated successfully.' jac: array([ 2.5, 2