In this text, readers are able to look at specific problems and see how careful implementations can reduce the time constraint for large amounts of data from several years to less than a second. Class templates are used to describe generic data structures and first-class versions of vector and string classes are used. Included is an appendix on a Standard Template Library (STL). This text is for readers who want to learn good programming and algorithm analysis skills simultaneously so that they can develop such programs with the maximum amount of efficiency. Readers should have some knowledge of intermediate programming, including topics as object-based programming and recursion, and some background in discrete math

数据结构课本 英文版 非扫描版 目录全！ 希望能帮到大家

使用C来讲述数据结构和算法，由Mark Allen Weiss编写的，内容丰富，解释清晰，是一本在美国广为使用的教材。

Data_Structures_and_Algorithm_Analysis_in_C

数据结构与算法分析_C语言描述// 英文版 //PDF格式 // 带书签

Data Structures and Algorithm Analysis in C

一款支持全屏显示，监控突发预警平台界面模板，地区突发预警实时监控投屏页面模板。

Most books on data structures assume an imperative language such as C or C++. However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques that allow programmers to develop their own functional data structures. The author includes both classical data structures, such as red-black trees and binomial queues, and a host of new data structures developed exclusively for functional languages. All source code is given in Standard ML and Haskell, and most of the programs are easily adaptable to other functional languages. This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study.

Data Structure For Game Programers源码与pdf

NIPYPE：Python中的神经成像：管道和接口 当前的神经影像软件为用户提供了使用多种不同算法分析数据的难得的机会。 但是，这导致了专用应用程序的异构集合，而没有透明的互操作性或统一的操作界面。 Nipype是NiPy旗下由社区开发的开放源代码计划，它是一个Python项目，可为现有的神经成像软件提供统一的界面，并促进单个工作流程中这些软件包之间的交互。 Nipype提供的环境鼓励交互式探索来自不同软件包（例如SPM，FSL，FreeSurfer，AFNI，Slicer，ANTS）的算法，简化了软件包内部和软件包之间的工作流程设计，并减少了使用不同软件包所需的学习曲线。 Nipype正在使用高级语言为神经影像软件开发创建一个协作平台，并解决现有管道系统的局限性。 Nipype允许您执行以下操作： 轻松与来自不同软件包的工具进行交互 结合来自不同软件包的处理步骤 重用旧步骤中的常