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.

matlab代码影响Functional-Multiplex-PageRank ％++++++++功能复用页面等级++++++++++++++++++++++++++++ 此文件夹包含4个MATLAB代码，用于计算双工网络和任意层数的网络的功能多路复用PageRank： functionalPageRank_duplex.m 给定影响向量z = [z ^（1,0），z ^（0,1），z ^（1,1）]，计算双工网络的功能多路复用PageRank。 fPR.m 计算影响向量的所有值的双工网络的功能复用PageRank。 该代码使用了functionalPageRank_duplex.m代码 functionalPageRank_multiplicity.m 计算具有任意数量的层并具有特定影响向量的多路复用网络的功能多路复用PageRank，而这些影响向量仅取决于链路重叠的多重性。 fPRm.m 计算具有任意数量的层且影响参数不同的多路复用网络的功能多路复用PageRank。 该代码使用了functionalPageRank_multiplicity.m代码 这些程序是在作者中分发的，希望

Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook of Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages including FSL, SPM and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling and resting state network analysis, are also discussed. Readers of this book, whether newcomers to the field or experienced researchers, will obtain a deep and effective knowledge of how to employ fMRI analysis to ask scientific questions and become more sophisticated users of fMRI analysis software.

Scientists today collect samples of curves and other functional observations. This monograph presents many ideas and techniques for such data. Included are expressions in the functional domain of such classics as linear regression, principal components analysis, linear modelling, and canonical correlation analysis, as well as specifically functional techniques such as curve registration and principal differential analysis. Data arising in real applications are used throughout for both motivation and illustration, showing how functional approaches allow us to see new things, especially by exploiting the smoothness of the processes generating the data. The data sets exemplify the wide scope of functional data analysis; they are drwan from growth analysis, meterology, biomechanics, equine science, economics, and medicine.The book presents novel statistical technology while keeping the mathematical level widely accessible. It is designed to appeal to students, to applied data analysts, and to experienced researchers; it will have value both within statistics and across a broad spectrum of other fields. Much of the material is based on the authors' own work, some of which appears here for the first time.Jim Ramsay is Professor of Psychology at McGill University and is an international authority on many aspects of multivariate analysis. He draws on his collaboration with researchers in speech articulation, motor control, meteorology, psychology, and human physiology to illustrate his technical contributions to functional data analysis in a wide range of statistical and application journals.Bernard Silverman, author of the highly regarded "Density Estimation for Statistics and Data Analysis," and coauthor of "Nonparametric Regression and Generalized Linear Models: A Roughness Penalty Approach," is Professor of Statistics at Bristol University. His published work on smoothing methods and other aspects of applied, computational, and theoretical statistics has been recognized by the Presidents' Award of the Committee of Presidents of Statistical Societies, and the award of two Guy Medals by the Royal Statistical Society.

稀土离子（REs）掺杂的纳米粒子中的上转换发光已经吸引了相当多的研究关注，以用于固态激光器，三维显示器，太阳能电池，生物成像等领域。 然而，目前还没有关于稀土掺杂纳米颗粒的报道，以研究其极化能量转移上转换，特别是对于单个颗粒而言。 本文中，首次以单粒子光谱模式展示了掺稀土的氟化物纳米棒的极化能量转移上转换。 980 nm线性偏振激光激发后，观察到独特的发光现象，例如，在室温下急剧的能级分裂和单重态至三重态跃迁，多个偏振方向的离散发光强度周期性变化。 此外，制备具有可控制的长径比和对称性的纳米棒，以分析极化各向异性的机理。 比较实验表明，离子内的跃迁特性和晶体局部对称性主导着极化各向异性，这也被密度泛函理论计算所证实。 利用基于REs的上转换，建议用于REs掺杂的氟化物单纳米棒或纳米棒阵列的偏振各向异性的极化微观多信息传输方面的潜在应用。

软件验证的e文书，《Functional Verification Coverage Measurement and Analysis》

改进 Rational Functional Tester 启动应用程序的过程 基于Rational 的BS 架构软件自动化测试研究 使用Rational Functional Tester 完成自动化功能测试 详解IBM Rational Functional Tester 的工作原理

This document is a Safety Analysis Report for the Texas Instruments DRA829 device. 9 device. Device numbers coveredby this Safety Analysis Report include the following products: - RA829JTMGALFRQ1 - DRA829JTMGALFQ1 ......

Gerald Teschl 的泛函分析，英文版 Typeset by AMS-LATEX and Makeindex. Version: March 14, 2007

The National Highway Traffic Safety Administration established the electronics reliability research area to study the mitigation and safe management of electronic control system failures and operator response errors. This project supports NHTSA’s electronics reliability research area by: • Expanding the knowledge base for automated lane centering systems and the foundational steering and braking systems upon which ALC relies. • Providing an example for implementing a portion of the voluntary, in