计算电磁学 Adecadeago,whenthe taskof developing thisbookwasinitiated, therewerefew available texts on computational techniques for electromagnetics. Although a large number have appeared since then, none attempt to treat both integral and differential equation formulations in a unified manner. The presenttext is intended to fill that gap and is designed for graduate-level classroom use or self-study. Its primaryfocusis open-region formulations, andwhileresonant cavity andantennaapplications aretouchedon in places, themajority of the material is presented in thecontextof electromagnetic scattering. We have attempted to provide enoughdetailto enablea readerto implement theconcepts in software. In addition to a few subroutines in Appendix C, a collection of relatedcomputerprograms is available through the Internet. Earlierdraftsof the material weretestedin graduate courses taughtat the University of Illinois and the Georgia Institute of Technology as wellas in a numberof continuing education courses. The authors sincerely appreciate the comments of former students, colleagues, and the dozen or more reviewers who offered critiques during the book's development.

一本非常好的非线性时间序列英文版书籍，由统计界的大牛范剑青编著。

This book does not contain an elementary mathematics of fuzzy systems such as fuzzy sets, operations on fuzzy sets, Boolean logic, triangular norms (tnorms), t-conorms, implications, fuzzy relations, fuzzy reasoning methods, the fuzzy controller architecture, the Mamdani type fuzzy controller, etc., because of the flood of papers and books on these topics. It is assumed that the reader is familiar with the fundamentals of the fuzzy modeling and with the foundations of Boolean logic and conventional control methods, including PID control.

学习Matlab和谱方法的经典入门教材，由SIAM的前主席Trefethen编写。

该文档详细讲解了计算电磁学的理论，并深入讲解了数值计算的多种方法。

一部值得精读的著作,将神经网络方法和自然语言处理的相关课题紧密的联合了起来.介绍了神经网络的构建细节和机器学习的一些基本内容,并且包含了RNN,CNN等主流神经网络在NLP中的应用实例,另外2017年新书,有最新的学术信息.

mathematical methods and algorithms for signal processing英文原版pdf，很经典的书哦

Information geometry provides the mathematical sciences with a new framework of analysis. It has emerged from the investigation of the natural differential geometric structure on manifolds of probability distributions, which consists of a Riemannian metric defined by the Fisher information and a one-parameter family of affine connections called the $\alpha$-connections. The duality between the $\alpha$-connection and the $(-\alpha)$-connection together with the metric play an essential role in this geometry. This kind of duality, having emerged from manifolds of probability distributions, is ubiquitous, appearing in a variety of problems which might have no explicit relation to probability theory. Through the duality, it is possible to analyze various fundamental problems in a unified perspective. The first half of this book is devoted to a comprehensive introduction to the mathematical foundation of information geometry, including preliminaries from differential geometry, the geometry of manifolds or probability distributions, and the general theory of dual affine connections. The second half of the text provides an overview of wide areas of applications, such as statistics, linear systems, information theory, quantum mechanics, convex analysis, neural networks, and affine differential geometry. The book will serve as a suitable text for a topics course for advanced undergraduates and graduate students.

Ensemble Methods Foundations and Algorithms的读书笔记，介绍boosting,bagging，adaboost等理论

Direct Methods for Sparse Matrices (I. S. Duff, A. M. Erisman, J. K. Reid).pdf