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refinement

  • The last step in training phase is refinement of the clusters found above. Although DynamicClusteri

    The last step in training phase is refinement of the clusters found above. Although DynamicClustering counters all the basic k-means disadvantages, setting the intra-cluster similarity r may require experimentation. Also, a cluster may have a lot in common with another, i.e., sequences assigned to it are as close to it as they are to another cluster. There may also be denser sub-clusters within the larger ones.

    標簽： DynamicClusteri refinement Although clusters

    上傳時間： 2014-01-04

    上傳用戶：watch100

  • 本書由知名的C++專家Matthew H．Austern執筆

    本書由知名的C++專家Matthew H．Austern執筆，引導你進入泛型編程思維模型，并將你帶往此一模型的最重要成品：C++ Standard Template Library(STL)。本書揭示STL的奧秘，告訴你STL不僅僅是一組方便運用的容器類(container classes)。對于泛型組件和可交互作用的組件而言，STL是一個具備擴充能力的框架(framework)、 《泛型編程與STL》闡述了泛型編程的中心思想：concepts、modeling、refinement，并為你展示這些思想如何導出STL的基礎概念：iterators、containers、function objects。循此路線，你可以把STL想像為一個由concepts(而非明確之functions或classes)組成的程序庫：、你將學習其正式結構并因此獲得其潛在威力所帶來的完整優勢。本書使你能夠： ●以你自己的“可移植組件”及“可交互作用之泛型組件”擴充STL； ●產生一些算法，讓它們和它們所處理之型別(types)及數據結構徹底劃清界線； ●撰寫更精致、更高效、更有效力的代碼，可跨平臺重復使用。

    標簽： Matthew Austern 家

    上傳時間： 2014-01-06

    上傳用戶：Avoid98

  • Handles Hexahedral, Tetrahedral, Quadrilateral, and Triangle meshes. Lagrangian, Hierarchic, and Mon

    Handles Hexahedral, Tetrahedral, Quadrilateral, and Triangle meshes. Lagrangian, Hierarchic, and Monomial finite elements. Interface to PETSc solvers, adaptive mesh refinement, and extreme portablility.

    標簽： Quadrilateral Tetrahedral Hexahedral Lagrangian

    上傳時間： 2013-12-03

    上傳用戶：咔樂塢

  • 做網格的好程序

    做網格的好程序，PARAMESH is a package of Fortran 90 subroutines designed to provide an application developer with an easy route to extend an existing serial code which uses a logically cartesian structured mesh into a parallel code with adaptive mesh refinement(AMR).

    標簽： 網格 程序

    上傳時間： 2014-01-06

    上傳用戶：壞壞的華仔

  • SuperLU is a general purpose library for the direct solution of large, sparse, nonsymmetric systems

    SuperLU is a general purpose library for the direct solution of large, sparse, nonsymmetric systems of linear equations on high performance machines. The library is written in C and is callable from either C or Fortran. The library routines will perform an LU decomposition with partial pivoting and triangular system solves through forward and back substitution. The LU factorization routines can handle non-square matrices but the triangular solves are performed only for square matrices. The matrix columns may be preordered (before factorization) either through library or user supplied routines. This preordering for sparsity is completely separate from the factorization. Working precision iterative refinement subroutines are provided for improved backward stability. Routines are also provided to equilibrate the system, estimate the condition number, calculate the relative backward error, and estimate error bounds for the refined solutions.

    標簽： nonsymmetric solution SuperLU general

    上傳時間： 2017-02-20

    上傳用戶：lepoke

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