random

问题 Setting a seed ensures reproducibility and is important in simulation modelling. Consider a simple model f() with two variables y1 and y2 of interest. The outputs of these variables are determined by a random process ( rbinom() ) and the parameters x1 and x2 . The outputs of the two variables of interest are independent of each other. Now say we want to compare the change in the output of a variable after a change in the respective parameter has occurred with a scenario before the change was

问题 Intel supports RDRAND (also known as Intel secure key) instruction for returning random numbers. And it's available in Ivy Bridge processors. I wonder, is there any ARM processor featuring instructions for on-chip hw random number generator functionally similar to RDRAND? And I have an additional question. In the Linux kernel (version 3.10), there are driver sources for hw random number generators in /linux/drivers/char/hw_random . (http://lxr.free-electrons.com/source/drivers/char/hw_random/

问题 I have a list of vectors: >>> import numpy as np >>> num_dim, num_data = 10, 5 >>> data = np.random.rand(num_data, num_dim) >>> data array([[ 0.0498063 , 0.18659463, 0.30563225, 0.99681495, 0.35692358, 0.47759707, 0.85755606, 0.39373145, 0.54677259, 0.5168117 ], [ 0.18034536, 0.25935541, 0.79718771, 0.28604057, 0.17165293, 0.90277904, 0.94016733, 0.15689765, 0.79758063, 0.41250143], [ 0.80716045, 0.84998745, 0.17893211, 0.36206016, 0.69604008, 0.27249491, 0.92570247, 0.446499 , 0.34424945, 0

问题 I have a list of vectors: >>> import numpy as np >>> num_dim, num_data = 10, 5 >>> data = np.random.rand(num_data, num_dim) >>> data array([[ 0.0498063 , 0.18659463, 0.30563225, 0.99681495, 0.35692358, 0.47759707, 0.85755606, 0.39373145, 0.54677259, 0.5168117 ], [ 0.18034536, 0.25935541, 0.79718771, 0.28604057, 0.17165293, 0.90277904, 0.94016733, 0.15689765, 0.79758063, 0.41250143], [ 0.80716045, 0.84998745, 0.17893211, 0.36206016, 0.69604008, 0.27249491, 0.92570247, 0.446499 , 0.34424945, 0

问题 I have a list of vectors: >>> import numpy as np >>> num_dim, num_data = 10, 5 >>> data = np.random.rand(num_data, num_dim) >>> data array([[ 0.0498063 , 0.18659463, 0.30563225, 0.99681495, 0.35692358, 0.47759707, 0.85755606, 0.39373145, 0.54677259, 0.5168117 ], [ 0.18034536, 0.25935541, 0.79718771, 0.28604057, 0.17165293, 0.90277904, 0.94016733, 0.15689765, 0.79758063, 0.41250143], [ 0.80716045, 0.84998745, 0.17893211, 0.36206016, 0.69604008, 0.27249491, 0.92570247, 0.446499 , 0.34424945, 0

问题 So sCount is the number of elements in the source array, iCount is the number of elements I want to remove. let indices = Array.init iCount (fun _ -> rng.Next sCount) |> Seq.distinct |> Seq.toArray |> Array.sort The problem with the method above is that I need to specifically remove iCount indices, and this doesn't guarantee that. I've tried stuff like while indices.Count < iCount do let x = rng.Next sCount if not (indices.Contains x) then indices <- indices.Add x And a few other similar

问题 So sCount is the number of elements in the source array, iCount is the number of elements I want to remove. let indices = Array.init iCount (fun _ -> rng.Next sCount) |> Seq.distinct |> Seq.toArray |> Array.sort The problem with the method above is that I need to specifically remove iCount indices, and this doesn't guarantee that. I've tried stuff like while indices.Count < iCount do let x = rng.Next sCount if not (indices.Contains x) then indices <- indices.Add x And a few other similar

问题 So sCount is the number of elements in the source array, iCount is the number of elements I want to remove. let indices = Array.init iCount (fun _ -> rng.Next sCount) |> Seq.distinct |> Seq.toArray |> Array.sort The problem with the method above is that I need to specifically remove iCount indices, and this doesn't guarantee that. I've tried stuff like while indices.Count < iCount do let x = rng.Next sCount if not (indices.Contains x) then indices <- indices.Add x And a few other similar

问题 So sCount is the number of elements in the source array, iCount is the number of elements I want to remove. let indices = Array.init iCount (fun _ -> rng.Next sCount) |> Seq.distinct |> Seq.toArray |> Array.sort The problem with the method above is that I need to specifically remove iCount indices, and this doesn't guarantee that. I've tried stuff like while indices.Count < iCount do let x = rng.Next sCount if not (indices.Contains x) then indices <- indices.Add x And a few other similar

问题 So sCount is the number of elements in the source array, iCount is the number of elements I want to remove. let indices = Array.init iCount (fun _ -> rng.Next sCount) |> Seq.distinct |> Seq.toArray |> Array.sort The problem with the method above is that I need to specifically remove iCount indices, and this doesn't guarantee that. I've tried stuff like while indices.Count < iCount do let x = rng.Next sCount if not (indices.Contains x) then indices <- indices.Add x And a few other similar