optimization

问题 Given a linear model obtained from the function call reg = lm(...) , how can you find the coefficients that maximize the obtained regression function? I'm aware of the function optim(...) , but it requires a function as an input. I haven't figured out how to extract this from the regression model. It should be noted that I'm using non-linear terms in my regression analysis (squared variables, to be precise). In other words, by regression function looks like y_hat = kx_11*x_1+kx_12*x_1^2 + kx

问题 Given a linear model obtained from the function call reg = lm(...) , how can you find the coefficients that maximize the obtained regression function? I'm aware of the function optim(...) , but it requires a function as an input. I haven't figured out how to extract this from the regression model. It should be noted that I'm using non-linear terms in my regression analysis (squared variables, to be precise). In other words, by regression function looks like y_hat = kx_11*x_1+kx_12*x_1^2 + kx

问题 I am a beginner and have currently started working on a game for Android which uses a particle swarm optimization algorithm. I am now trying to optimize my code a little and i have quite a lot of Math.random() in for-loops which is running almost all the time. So i was thinking of a way to get around and skip all the Math.random() calls. By using a method like this: float random[] = new float[100]; static int randomIndex=0; private float myRandom(){ if(randomIndex >= 99) randomIndex = 0; else

问题 The following is a recursive function that prints the divisors of a number (it has to be recursive). Without the commented out part, the program's worst case scenario are primes, the while loop will have to run all the way up to n, so the runtime would be: O(n). With the commented part, primes now run on O(sqrt(n)) but it becomes slower on numbers that aren't primes, but that for loop should make counting up to a divisor faster in any case. Can anyone explain why the runtime is slower? I've

问题 I have the next ASM code: mov r10 , 9007199254740990 ; mask mov r8 , rax shr r8 , 53 sub r8 , 1023 cmp r8 , 52 ; r8 - 52 < 0 setnb ch shrx r11 , r10 , r8 and r11 , rax setne cl ; r11 == 0 test rcx , rcx jz @C_2 ret @C_2: ; integer ret Well, here we have only one branch instruction. And we can rewrite this code by replacing SETcc instructionos on corresponding Jump instructions, and thus we'll get two branch instructions in the code above. My question is, which code will run faster in common

问题 I have two lists of coordinates: s1 = [(0,0), (0,1), (1,0), (1,1)] s2 = [(3,2), (1,9)] I want to calculate the minimum distance of each point in s1 to any point in s2. e.g. the results should be as follows. result = [3.60, 3.16, 2.82, 2.23] Question: What is the most optimized way in terms of execution time, to achieve this result? So far I've tried this but the execution time is not promising: import math def nearestDistance(boundary, p): minDistList = map(lambda b: (b[0] - p[0])**2 + (b[1]

问题 I've implemented a simple CNN program with Python that can machine learn on the MNIST data set. I've implemented 3 layers: ConvPoolLayer, which convolves and then does mean pooling FullyConnectedLayer, which is a fully connected hidden layer SoftmaxLayer, which basically gives the softmax output of the network It's in the ConvPoolLayer that I've implemented mean pooling. Here's the line of code that does mean pooling during forward propagation: # 'activation' is a numpy array of 3D

问题 I'm developing an app that should alert an user if is near a place. and of course have to do that also if the phone is in idle. With DOZE now I understood that I have to whitelist my app, and to do that I saw that I can start an intent with the action request thanks to Buddy's answer in this post Intent intent = new Intent(); String packageName = context.getPackageName(); PowerManager pm = (PowerManager) context.getSystemService(Context.POWER_SERVICE); if (pm.isIgnoringBatteryOptimizations

问题 I'm developing an app that should alert an user if is near a place. and of course have to do that also if the phone is in idle. With DOZE now I understood that I have to whitelist my app, and to do that I saw that I can start an intent with the action request thanks to Buddy's answer in this post Intent intent = new Intent(); String packageName = context.getPackageName(); PowerManager pm = (PowerManager) context.getSystemService(Context.POWER_SERVICE); if (pm.isIgnoringBatteryOptimizations

问题 I'm developing an app that should alert an user if is near a place. and of course have to do that also if the phone is in idle. With DOZE now I understood that I have to whitelist my app, and to do that I saw that I can start an intent with the action request thanks to Buddy's answer in this post Intent intent = new Intent(); String packageName = context.getPackageName(); PowerManager pm = (PowerManager) context.getSystemService(Context.POWER_SERVICE); if (pm.isIgnoringBatteryOptimizations