[压缩解压] Understanding-snmp-mibs

说明：一部全面详细介绍SNMP MIB的英文文档，从SMI结果到语法逐一解剖-SNMP MIB a full and detailed descr iption of the English document, the results from the SMI to the syntax of each anatomical
<john> 在 2025-11-22 上传 | 大小：88kb | 下载：0

[matlab例程] dijkstra

说明：Dijktra s single source shortest path algorithm. The function takes a graph (which may be sparse) as an input and returns the matrix of shortest distances between all of the nodes. Additionally, individual source and sink nodes may be specified as ad
<ruso> 在 2025-11-22 上传 | 大小：1kb | 下载：0

[压缩解压] LINUX-SNMP

说明：一篇介绍在LINUX操作环境下使用C++语言实现SNMP网管协议的文章-1 describes the LINUX operating environment using C++ language implementation of articles SNMP network management protocol
<john> 在 2025-11-22 上传 | 大小：29kb | 下载：0

[matlab例程] nikolas.070901

说明：Comparative study of active contour model by Nikolas Pettiri Tiilikainen
<Chaliot> 在 2025-11-22 上传 | 大小：1.79mb | 下载：0

[压缩解压] IsPrimes

说明：用来自动计算并判断某个数是否为素数的一段程序-Is used to automatically calculate and determine whether a number is prime section of procedural
<刘阳阳> 在 2025-11-22 上传 | 大小：232kb | 下载：0

[matlab例程] strcov

说明：Structured covariance estimation. The routine takes a covariance matrix as input and returns the Toeplitz matrix that lies closest to it, in the sense that it minimizes the Kullback-Leibler divergence between the two. Input must be a real, square, sy
<ruso> 在 2025-11-22 上传 | 大小：1kb | 下载：0

[matlab例程] qpsk

说明：四相绝对相移键控的仿真和分析，四个图形合成，有意思-Four-phase phase-shift keying absolute simulation and analysis, four graphics synthesis, interesting
<renkaiqiang> 在 2025-11-22 上传 | 大小：1kb | 下载：0

[matlab例程] gmm

说明：Bayesian mixture of Gaussians. This set of files contains functions for performing inference and learning on a Bayesian Gaussian mixture model. Learning is carried out via the variational expectation maximization algorithm.
<ruso> 在 2025-11-22 上传 | 大小：6kb | 下载：0

[matlab例程] mlr

说明：Mixture of linear regressors. The routines contained in this file allow inference and learning of a mixture of linear-Gaussian regression models. Learning is performed by maximizing the data likelihood via the expectation maximization algorithm.
<ruso> 在 2025-11-22 上传 | 大小：4kb | 下载：0

[matlab例程] ContentWritingSample1

说明：This content writing sample-This is content writing sample
<Sen> 在 2025-11-22 上传 | 大小：14kb | 下载：0

[matlab例程] lds

说明：Linear dynamical system. This set of functions performs inference and learning of a linear Kalman filter model. Inference is carried out via forward-backward smoothing, and learning is accomplished via the expectation maximization algorithm.
<ruso> 在 2025-11-22 上传 | 大小：6kb | 下载：0

[压缩解压] SAMPLES

说明：tips for develop web content
<Sen> 在 2025-11-22 上传 | 大小：27kb | 下载：0