MIT
Calculus With Analytic Geometry 豆瓣
作者: George F. Simmons 出版社: McGraw Hill Higher Education 1995 - 10
Written by acclaimed author and mathematician George Simmons, this revision is designed for the calculus course offered in two and four year colleges and universities. It takes an intuitive approach to calculus and focuses on the application of methods to real-world problems. Throughout the text, calculus is treated as a problem solving science of immense capability.
MIT认知科学百科全书 豆瓣
作者: 编者:ROBERTA.WILSONFRANK.KELL 出版社: 上海外语教育出版社 2000 - 1
Since the 1971s the cognitive sciences have offered multidisciplinary ways of understanding the mind and cognition. The MIT Encyclopedia of the represents Sciences(MITECS)is a landmark,comprehensive reference work that represents the methodological and theoretical diversity of this changing field. For both students and researchers,MITCS will be an indispensable guide to the current state of the cognitive sciences. “The cognitive sciences emerged in recognition of the fact that scholars and scientists in many different fields shared common problems and needed to collaborate. Now at last The MIT Encyclopedia of the Cognitive Sciences has provided a forum large enough for that interaction to occur——a forum that will not only facilitate cooperation but will educate a new generation of cognitive scientists.”——George Miller,Professor of Psychology Emeritus,Princeton University “At last,a thorough,authoritative source for work in the cognitive sciences. Take the most important topics in the study of cognition,ask the worlds top authorities to summarize the state of the art,and you have it:The MIT Encyclopedia of the Cognitive Sciences. I have already used it to learn,to browse,to inform,to teach,and to update my own understanding.It doesnt matter which end you seek:the book will frequently be in use.” ——Donald A. Norman. The Nielsen Norman Group;Professor Emeritus,Department of Cognitive Science,University of California,San Diego;and author The Invisible Computer “Among the human minds proudest accomplishments is the invention of a science dedicated to understanding itself:cognitive science. In less than fifty years,deep mysteries of antiquity have been brought into the lab and captured in rigorous theories. This volume is an authoritative guide to this exhilarating new body of knowledge,written by the experts,edited with skill and good judgment.If we were to leave a time capsule for the next millennium with records of the great achievements of civilization,this volume would have to be in it.” ——Steven Pinker,Professor of Psychology,Massachusetts Institute of Technology;and author of How the Mind Works and The Language Instinct.
Introduction to Linear Algebra, Fourth Edition 豆瓣 Goodreads
作者: Gilbert Strang 出版社: Wellesley Cambridge Press 2009 - 2
Gilbert Strang's textbooks have changed the entire approach to learning linear algebra -- away from abstract vector spaces to specific examples of the four fundamental subspaces: the column space and nullspace of A and A'.
Introduction to Linear Algebra, Fourth Edition includes challenge problems to complement the review problems that have been highly praised in previous editions. The basic course is followed by seven applications: differential equations, engineering, graph theory, statistics, fourier methods and the FFT, linear programming, and computer graphics.
Thousands of teachers in colleges and universities and now high schools are using this book, which truly explains this crucial subject.
Chapter 1: Introduction to Vectors; Chapter 2: Solving Linear Equations; Chapter 3: Vector Spaces and Subspaces; Chapter 4: Orthogonality; Chapter 5: Determinants; Chapter 6: Eigenvalues and Eigenvectors; Chapter 7: Linear Transformations; Chapter 8: Applications; Chapter 9: Numerical Linear Algebra; Chapter 10: Complex Vectors and Matrices; Solutions to Selected Exercises; Final Exam. Matrix Factorizations. Conceptual Questions for Review. Glossary: A Dictionary for Linear Algebra Index Teaching Codes Linear Algebra in a Nutshell.
Electricity and Magnetism 豆瓣
作者: Edward M. Purcell 出版社: McGraw-Hill Higher Education 1984 - 10
The sequence of topics covered include: electrostatics; steady currents; magnetic field; electromagnetic induction; and electric and magnetic polarization in matter. Taking a nontraditional approach, students focus on fundamental questions from different frames of reference. Each chapter has figures and problems to apply concepts studied.
模拟和数字电子电路基础 豆瓣
Foundations of Analog and Digital Electronic Circuits
作者: Anant Agarwal Jeffrey H.Lang 译者: 于歆杰 / 朱桂萍 出版社: 清华大学出版社 2008 - 7
《模拟和数字电子电路基础》通过介绍如何从麦克斯韦方程利用一系列简化假设直接得到集总电路抽象,在电气工程和物理间建立了清晰的联系。《模拟和数字电子电路基础》中始终使用抽象的概念,以统一在模拟和数字设计中所进行的工程简化。《模拟和数字电子电路基础》更为强调数字领域。但我们对数字系统的处理却强调其模拟方面。从开关、电源、电阻器和MOSFET开始,介绍KCL、KVL应用等内容。
概率导论 豆瓣
Introduction to Probability (2/e)
作者: Dimitri P.Bertsekas / John N.Tsitsiklis 译者: 郑忠国 / 童行伟 出版社: 人民邮电出版社 2009
《概率导论(第2版)》是在MIT开设概率论入门课程的基础上编写的, 其内容全面, 例题和习题丰富, 结构层次性强, 能够满足不同读者的需求。书中介绍了概率模型、离散随机变量和连续随机变量、多元随机变量以及极限理论等概率论基本知识, 还介绍了矩母函数、条件概率的现代定义、独立随机变量的和、最小二乘估计等高级内容。
《概率导论(第2版)》可作为所有高等院校概率论入门的基础教程, 也可作为有关概率论方面的参考书。