搜索资源列表
PQ
- 电力系统潮流计算程序，使用稀疏矩阵，降低存储容量，加快迭代的速度。-Power flow calculation procedure, the use of sparse matrices to reduce storage capacity, speed up the speed of iteration.
GPstuff
- Gaussian process models for Bayesian analysis (for Matlab) V1.1.0-GPstuff toolbox is a collection of Matlab functions for Bayesian inference with Gaussian process models.The toolbox contains some of the recent developments in sparse Gaussian processe
Load_Flow
- 电力系统潮流计算程序，采用节点优化编号及稀疏存贮技术-Power flow calculation program, using the node number and the sparse storage optimization technology
Seldon-5.0.1
- Seldon is a C++ library for linear algebra. It provides vectors and matrices: full, sparse, triangular, hermitian, ... It includes interfaces to Blas, Lapack, Mumps, SuperLU and UmfPack. Seldon implements several solvers such as Gmres, BiCgSTAB, Qmr,
xiaoyuandaoyoutu
- 校园导游图，根据已建立的稀疏矩阵存储校园个景点的编号和相应的权值，查找任意两点的最短路径并显示相应的信息内容-Campus Tour map, based on an established tourist attractions in sparse matrix storage on campus number and the corresponding weights, find the shortest path between any two points and displays th
PQ_Power_Flow_Pro
- 该C程序的主体框架是根据《现代电力系统分析》（王锡凡）的附录PQ分解法潮流程序来完成的，并采用BX方案。程序中采用了快速解耦潮流计算方法和稀疏矩阵存储技术，并对程序的主要算法进行了子程序编制。本程序认为迭代次数超过1000次即为不收敛，并给出了五节点五支路系统data5.dat作为示例。-The C program of the main framework is based on " Modern Power System Analysis" (Xi-fan) the tre
3_106-6
- This paper present a Template Sparse Library for Power Systems (TSLPS) developed in C++. Its aim is to provide a coherent platform for many power system applications such as Load Flow(LF), Short Circuit(SC), Optimal Power Flow(OPF) and Transient
shiyan3
- 电力网络信息存储及导纳矩阵处理。 (1) 从输入文件中读入节点信息和支路信息，其中包括支路的始端节点编号、支路的末端节点编号、支路电阻、电抗、变比、线路对地电导等。 (2) 要求设计的程序可适合任意规模的网络 (3) 要求设计的程序可查询节点、支路信息（根据节点名或支路名） (4) 要求将电力系统网络形成导纳矩阵及输出 (5) 要求进行导纳矩阵的稀疏处理 (6) 要求可以基于导纳矩阵的稀疏表示，获取 Yij -Power network admittance matr
PLoad_Floowo
- 电力系统潮流计算程序，采用节点优优化编号及稀疏存贮技术可直接使用。 -Power flow calculation program, using the node priority to optimize the number and sparse storage techniques can be used directly.
LSQR
- LSQR方法 求解大型稀疏矩阵的稳定可靠方法 A[M][N]·x[N]=b[M]-LSQR method for stable and reliable method for solving large sparse matrix A [M] [N] x [N] = b [M]
alps
- ALPS folder 2. generate_matrix.m: generates measurement matrix. 3. generate_vector.m: generates sparse vector. 4. Report_bibtex.tex: bibtex reference for citing. 5. ALPSdemo.m: demo of ALPS.
GPSR
- This set of MATLAB files contain an implementation of the gradient projection algorithms described in the paper "Gradient Projection for Sparse Reconstruction:
SPARCO
- SPARCO is an environment for testing and benchmarking algorithms for sparse reconstruction. It includes a collection of sparse reconstruction -SPARCO is an environment for testing and benchmarking algorithms for sparse reconstruction. It i
xi-shu-cun-chu-he-cha-xun
- 电网络理论中的稀疏存储程序及查询程序 已调试成功-Electrical network theory, sparse stored procedures and queries program debugging success
ElectricalLoadFlow
- 电流系统潮流计算程序，计算各节点电压和相角。利用了稀疏存储技术-Current system load flow calculation program to calculate the voltage and phase angle of each node. Use of sparse storage technology
primal-dual-algorithm
- Solve the standard basis pursuit program using a primal-dual algorithm,The key code of GBP is provided by Justin Romberg Reference: E. Candes and J. Romberg, “l1-Magic: Recovery of Sparse Signals via Convex Programming,” 2005.
(StOMP)Sparse-Solution
- 一个关于压缩感知的论文，用FOCUSS法求出最后的稀疏解，对于新手很有用-a method for compressed sensing
sparse_in_frequency
- Sparse in frequency Compressive Sensing
Sparse-antenna-array
- 稀疏天线阵Ga优化。使用matlab编程。-Sparse antenna array Ga optimization. Matlab programming
Sparse-Matrix-SIS
- 传统的算法是基于邻接矩阵对网络指标进行计算，而大型网络通过稀疏矩阵保存。本研究编写了可以计算稀疏矩阵的经典传染病SIS模型的程序。-The traditional method is based on network indicators adjacency matrix computing, and large networks through sparse matrix saved. The study prepared by the epidemic SIS model can calcu