search for: algorithmes

Hi, We have seen a huge performance drop in 1.6.3, due to the checksum being enabled by default. I looked at the algorithm being used, and it is actually a CRC32, which is a very strong algorithm for detecting all sorts of problems, such as single bit errors, swapped bytes, and missing bytes. I''ve been experimenting with using a simple XOR algorithm. I''ve been able to recover

Let us consider the current uniform sampling without replacement algorithm. It resides in function do_sample in https://svn.r-project.org/R/trunk/src/main/random.c Its complexity is obviously O(n), where the sample is selected from 1...n, since the algorithm has to create a vector of length n. So when the sample size is much lesser than n, the algorithm is not effective. Algorithms with

On Fri, Jan 26, 2024 at 7:24?PM Jochen Bern <Jochen.Bern at binect.de> wrote: > On 25.01.24 14:09, Kaushal Shriyan wrote: > > I am running the below servers on Red Hat Enterprise Linux release 8.7 > > How do I enable strong KexAlgorithms, Ciphers and MACs > > On RHEL 8, you need to be aware that there are "crypto policies" > modifying sshd's behaviour,

On 25.01.24 14:09, Kaushal Shriyan wrote: > I am running the below servers on Red Hat Enterprise Linux release 8.7 > How do I enable strong KexAlgorithms, Ciphers and MACs On RHEL 8, you need to be aware that there are "crypto policies" modifying sshd's behaviour, and it would likely be the *preferred* method to inject your intended config changes *there* (unless they

Hi When I type: > ?nls I come across this section: algorithm: character string specifying the algorithm to use. The default algorithm is a Gauss-Newton algorithm. Other possible values are '"plinear"' for the Golub-Pereyra algorithm for partially linear least-squares models and '"port"' for the 'nl2sol'

Hi, Is in R any "fast" algorithm for correlation? What I mean is: I have very large dataset (microarray) with 55000 rows and 100 columns. I want to count correlation (p-value and cor.coef) between each row of dataset and some vector (of course length of this vector is equal to number of columns of dataset). In short words: For t-test we have: "normal" algorithm - t.test

On 2014 Mar 4, at 20:23, Chandler Carruth <chandlerc at google.com> wrote: > On Tue, Mar 4, 2014 at 8:07 PM, Duncan P. N. Exon Smith <dexonsmith at apple.com> wrote: > There’s a decent selection of range adaptors in Boost.Range [1]. I’m not sure the license [2] allows copying the source (IANAL), but any reason not use the same names? I don’t see any reason to reinvent the

This was posted not too long ago on sci.crypt... Enjoy... I think the most relevant information is near the top, but it''s all quite good... :-) -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- There is no intrinsic difference between algorithm and data, the same information can be viewed as data in one context and as algorithm in another. Why then do so many people claim that encryption algorithms

I am looking for packages that can run a branch-and-bound algorithm to maximize a distance measure (such as Bhattacharyya or Mahalanobis) on a set of features. I would like this to be learning algorithm independent, so that the method just looks at the features, and selects the subset of a user-defined size that maximizes a distance criteria such as those stated above. Can anyone give some

Hi Jakob, Thanks for a very interesting description of the new register allocation algorithm in LLVM!!! Could you elaborate a bit on the following topics: 1) Do you have any plans to publish something more formal and detailed about this algorithm, e.g. a paper or something similar?  It would be nice to better understand how this algorithm relates to well-known algorithms described in the

A few questions regarding the OpenSSH support for the Diffie Hellman key exchange algorithms: (1) Are the diffie-hellman-group-exchange-sha256", "diffie-hellman-group-exchange-sha1" , "diffie-hellman-group14-sha1" "diffie-hellman-group1-sha1" (as defined in RFCs 4253 and RFC 4419) the complete list of key exchange algorithms supported by OpenSSH? (2) Is there a

Hello, I have a question about multichannel and the load-balancing algorithm. What kind of algorithm is it? (Roud-robin, dynamic round-robin, ...) What are the arguments the algorithm compute to load-balance the network traffic on the interfaces? I already know that if a 10Gb/s interface and a 1Gb/s interfaces are in the multichannel connection the 1Gb/s one will be ignored until the 10Gb/s goes

See, I have built my own genetic algorithm already and tested it on this problem. I have a solution, but due to the heuristic nature of GA, I cannot guarantee that it is the optimal subset. If I was simply doing this for a company project, you are spot on with the type of algorithm I would use, but I am doing this for a scientific paper. I need to be able to find the optimal subset over my

On Fri, Jan 6, 2012 at 8:17 PM, Chris Lattner <clattner at apple.com> wrote: > > On Jan 6, 2012, at 5:08 PM, Chris Lattner wrote: > >>>> >>>> It's very like SSA construction, but must make provision >>>> testing anti dependences.  I had planned to use dominance frontiers to >>>> guide placement of phi nodes, as usual. >>>

Dear all, I would like to use the Levenberg-Marquardt algorithm for non-linear least-squares regression using function nls.lm. Can anybody help me to find a a way to compute confidence intervals on the fitted parameters as it is possible for nls (using confint.nls, which does not work for nls.lm)? Thank you for your help Michael

On Thu, 29 Jun 2017, Alex Byrley writes: > I am looking for packages that can run a branch-and-bound algorithm to > maximize a distance measure (such as Bhattacharyya or Mahalanobis) on a set > of features. > > I would like this to be learning algorithm independent, so that the method > just looks at the features, and selects the subset of a user-defined size > that maximizes

I just uploaded a blog post outlining the new register allocation algorithm in LLVM 3.0. http://blog.llvm.org/2011/09/greedy-register-allocation-in-llvm-30.html Please direct comments here. /jakob

Hi, I am just starting up on SPEEX AEC algorithm and have couple of questions around echo cancelation algorithm used in SPEEX. 1) Usually Echo Cancelation Algorithm has support for number of components ? - Non-Linear Processor (NLP) - Automatic Microphone Gain Control (AGC) - Transducer Equalization (EQ) - Dynamic Range Compression (DRC) - Ambient

Dear R-Users, I have a model with a latent variable for a spatio-temporal process. I would like to use EM algorithm to estimate the parameters. Does anybody know how to implement the algorithm in R? Thank you very much in advance, Michela

The GVN algorithm used in LLVM currently (I'm rewriting it) is the basic hash based RPO algorithm. The new one i'm writing is based on http://dl.acm.org/citation.cfm?id=512536 (see https://github.com/dberlin/llvm-gvn-rewrite) LLVM has different algorithms for both scalar PRE and load PRE. They are basically variants of standard PRE algorithms transformed into SSA, but with some