computation

问题 I need to compute this formula: It is an approximation of this integral but it doesn't matter, actually I just want to compute the value of Figure 1 with PYTHON , that's what the topic concerns. K, alpha and sigma are fixed values within a single computation, usually: 0 <= k <= 99; alpha = 3; sigma = 2. Below is how I am trying to compute such summation in python: import decimal from scipy.special import binom def residual_time_mean(alpha, sigma=2, k=1): prev_prec = decimal.getcontext().prec

问题 I need to compute this formula: It is an approximation of this integral but it doesn't matter, actually I just want to compute the value of Figure 1 with PYTHON , that's what the topic concerns. K, alpha and sigma are fixed values within a single computation, usually: 0 <= k <= 99; alpha = 3; sigma = 2. Below is how I am trying to compute such summation in python: import decimal from scipy.special import binom def residual_time_mean(alpha, sigma=2, k=1): prev_prec = decimal.getcontext().prec

问题 I need to compute this formula: It is an approximation of this integral but it doesn't matter, actually I just want to compute the value of Figure 1 with PYTHON , that's what the topic concerns. K, alpha and sigma are fixed values within a single computation, usually: 0 <= k <= 99; alpha = 3; sigma = 2. Below is how I am trying to compute such summation in python: import decimal from scipy.special import binom def residual_time_mean(alpha, sigma=2, k=1): prev_prec = decimal.getcontext().prec

问题 (warning: this was posted also on https://forums.fsharp.org/t/asyncresult-and-handling-rollback/928) Trying to implement 2PC Transaction Like workflow in F# (see http://learnmongodbthehardway.com/article/transactions/) and hitting an issue with computation expressions (asyncResult for example) and rollback. If you have the following pseudocode: let rollbackWorkflow parX parY = … here calling rollbackService1 and rollbackService2 let executeWorkflow par1 par2 par3 = asyncResult { let! result1

问题 I am attempting to plot the nullcline (steady state) curves of the Oregonator model to assert the existence of a limit cycle by applying the Poincare-Bendixson Theorem. I am close, but for some reason the plot that is produced shows two straight lines. I think it has something to do with the plotting stage. Any ideas? Also any hints for how to construct a quadrilateral to apply the theorem with would be most appreciated. Code: import numpy as np import matplotlib.pyplot as plt # Dimensionless

问题 I am attempting to plot the nullcline (steady state) curves of the Oregonator model to assert the existence of a limit cycle by applying the Poincare-Bendixson Theorem. I am close, but for some reason the plot that is produced shows two straight lines. I think it has something to do with the plotting stage. Any ideas? Also any hints for how to construct a quadrilateral to apply the theorem with would be most appreciated. Code: import numpy as np import matplotlib.pyplot as plt # Dimensionless

问题 I am attempting to plot the nullcline (steady state) curves of the Oregonator model to assert the existence of a limit cycle by applying the Poincare-Bendixson Theorem. I am close, but for some reason the plot that is produced shows two straight lines. I think it has something to do with the plotting stage. Any ideas? Also any hints for how to construct a quadrilateral to apply the theorem with would be most appreciated. Code: import numpy as np import matplotlib.pyplot as plt # Dimensionless

问题 I want to use this rational number in computations without losing the accuracy of the picture in Matlab: f = 359.0 + 16241/16250.0 I think storing, for instance by f = uint64(359.0 + 16241/16250.0) loses accuracy, seen as 360 in Matlab. I think the best way to handle the thing is never to store the value but to store its factors like % f = a + b/c a = 359 b = 16241 c = 16250 and then doing computation by the variables a, b and c, and giving the result as a picture. Is this a good way to

问题 I've written a JavaScript-based Website that is able to enter, edit and solve Nonograms. As you may know, solving a nonogram is an NP-complete problem. My first attempt was pure (single threaded) JavaScript. But on larger nonograms, Chrome showed its BSOD and killed the JS script after a few minutes. Next attempt was to use Web Workers. I split the solving algorithm so that each worker gets one row/column to solve and returns the result. This was an improvement and it was able to solve medium

问题 I am working on an e-commerce app that has to re-calculate pricing for products every time products are sent from the server to the client (up to thousands of products are sent each time). The calculation piece itself is fairly intensive since it requires multiple database queries to calculate. My naive solution is to abstract the calculation part onto another node.js app/server that is solely dedicated to calculations. Does anyone know of a better or more scalable/optimal way to do this?