integrate

Is there any API to integrate bank accounts into a .NET application? I am looking to provide the user an ability to pull bank statements into my software. Please suggest. You'll need to ask the bank that , which bank are you with? Most major providers allow some kind of programmatic access to their systems. Failing that (and security aside) you could generate a HTTP Request/Response to the banks website and replying on being provided the correct credentials should be able to retreive any information available online (such as past statements) - bonus if they provide them in PDF format. Not sure

thanks for reading this question. I am doing this homework which need a GUI as frond end to integrate with back end code which written in C++. I wanna to write this front end GUI in java as its cross-platform feature and strong graphic components. Is there any good way I can integrate java and C++ well? Thank you Swig works very well. It's a means to bind C/C++ to a huge variety of languages. I have experience of using this to talk to C++ with very little grief. Here's the manual page on using Swig and Java together. The tutorial gets you going very quickly, with many examples including Java.

katta项目主页: http://katta.sourceforge.net/ Katta的介绍: http://blog.sina.com.cn/s/blog_43b8e6dd0100ne4b.html 关于Solr整合Katta的讨论 https://issues.apache.org/jira/browse/SOLR-1395 1.下载 katta: http://sourceforge.net/projects/katta/files/katta/ solr: http://lucene.apache.org/solr/ 在上面的讨论中似乎是使用的Lucene4.0,Katta0.6.2 我直接使用 katta:0.6.3 solr:3.6.1 2.分布式搜索是一个好的解决方案,自己动手开发是有很大难度的.我相信使用Lucene的人很多,并且也很多是直接使用Solr的.能把Lucene的索引文件放到Hadoop HDFS文件系统上我想是一个终极解决方案,但是最终要的是能做索引分片,并且能提供分布式搜索.Lucene的创始人 Doug Cutting 也是建议katta这个解决方案的.见: http://wiki.apache.org/hadoop/DistributedLucene 因为涉及的技术比较多,而且技术门槛也较高,鲜有人整合成功.其中涉及的技术包括:Lucene

Using Base R, I was wondering if I could determine the 95% area under the curve denoted as posterior below? More specifically, I want to move from the mode (the green dashed line) toward the tails and then stop when I have covered 95% of the curve area. Desired are the x-axis values that are the limits of this 95% area as shown in the picture below? prior = function(x) dbeta(x, 15.566, 7.051) likelihood = function(x) dbinom(55, 100, x) posterior = function(x) prior(x)*likelihood(x) mode = optimize(posterior, interval = c(0, 1), maximum = TRUE, tol = 1e-12)[[1]] curve(posterior, n = 1e4) P.S In

I know that I asked the same question before, but as I am pretty new here the question was asked poorly and not reproducible. Therefore I try to do it better here. (If I only edit the old one probably nobody will read it) I have this double integral that I would like to integrate: Here is a picture ff<-function(g,t) exp((16)*g)*exp(-8*t-(-t-0.01458757)^2/(0.0001126501)) integrate(Vectorize(function(t) integrate(function(g) ff(g,t), -2.5,0)$value), -2, 2) Running this in R gives me the error: the integral is probably divergent When I try to run the sam function in Wolfram it gives me a proper

This function is positive from 0 to inf, why give larger than 1000 will yield to 0, not reasonable. import scipy.integrate as integrate from math import * integrate.quad(lambda x: x*exp(-x**2/2)/sqrt(2*pi), 0.0, 1000) Out[52]: (0.3989422804014328, 1.6471510195390376e-11) integrate.quad(lambda x: x*exp(-x**2/2)/sqrt(2*pi), 0.0, 100000) Out[54]: (0.0, 0.0) For x larger than approx. 39, exp(-x**2/2) gives 0.0. When the upper limit of integration is 100000, the fraction of the interval of integration where the function is nonzero is so small that the quad algorithm never sees it. As far as quad is