Springerの公式が、新型コロナウィルス感染症の発生下における利用者への支援のためにSpringer Natureの電子書籍のうち400点以上のテキストを無料で公開しています。無料公開の情報は多少流れてきますが、実際の文献のダウンロード方法に関する情報が少ないなと感じたので手順をまとめておきます。(そんなに複雑ではありません。)
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公開されているテキストのタイトルを分野別に分けておきます。
・代数
"Linear Algebra Done Right", Sheldon Axler
"Linear Algebra" , Jörg Liesen, Volker Mehrmann ,
"Algebra",Serge Lang
"Abstract Algebra" , Gregory T. Lee
"Applied Linear Algebra", Peter J. Olver, Chehrzad Shakiban
"Representation Theory", William Fulton, Joe Harris (リー代数の表現論ぽい)
・解析
"Time Series Analysis",Jonathan D. Cryer, Kung-Sik Chan ,
"Introduction to Partial Differential Equations",David Borthwick,
"Introduction to Partial Differential Equations",Peter J. Olver,
"Classical Fourier Analysis",Loukas Grafakos,
"Brownian Motion, Martingales, and Stochastic Calculus ",Jean-François Le Gall,
"Probability",Jim Pitman,
"Elementary Analysis",Kenneth A. Ross,
"Probability Theory", Alexandr A. Borovkov,
"Differential Equations and Their Applications",Martin Braun,
"Partial Differential Equations",Jürgen Jost,
"Understanding Analysis",Stephen Abbott,
"Ordinary Differential Equations",William A. Adkins, Mark G. Davidson,
"Applied Partial Differential Equations", J. David Logan,
"A Modern Introduction to Probability and Statistics", F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester,
"Complex Analysis", Joseph Bak, Donald J. Newman,
"Calculus With Applications", Peter D. Lax, Maria Shea Terrell,
"Real Analysis", Miklós Laczkovich, Vera T. Sósc,
"Probability Theory", Achim Klenke,
・幾何
"Introduction to Smooth Manifolds", John Lee,
"Multivariate Calculus and Geometry",Seán Dineen,
・コンピュータサイエンス関連
"Numerical Optimization",Jorge Nocedal, Stephen Wright,
"The Elements of Statistical Learning",Trevor Hastie, Robert Tibshirani, Jerome Friedman,
"Methods of Mathematical Modelling",Thomas Witelski, Mark Bowen,
"Introduction to Statistics and Data Analysis ", Christian Heumann, Michael Schomaker, Shalabh,
"Modeling Life", Alan Garfinkel, Jane Shevtsov, Yina Guo,
"Business Statistics for Competitive Advantage with Excel 2016 ",Cynthia Fraser,
"A Primer on Scientific Programming with Python",Hans Petter Langtangen,
"Statistical Analysis and Data Display",Richard M. Heiberger, Burt Holland,
"Statistics and Data Analysis for Financial Engineering",David Ruppert, David S. Matteson,
"Bayesian and Frequentist Regression Methods",Jon Wakefield,
"Introduction to Time Series and Forecasting",Peter J. Brockwell, Richard A. Davis,
"Understanding Statistics Using R", Randall Schumacker, Sara Tomek,
"An Introduction to Statistical Learning", Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani,
"Statistical Learning from a Regression Perspective", Richard A. Berk,
"Regression Modeling Strategies", Frank E. Harrell , Jr.,
"Applied Predictive Modeling", Max Kuhn, Kjell Johnson,
"Bayesian Essentials with R", Jean-Michel Marin, Christian P. Robert,
"Introductory Statistics with R",Peter Dalgaard,
"Introductory Time Series with R", Paul S.P. Cowpertwait, Andrew V. Metcalfe,
"A Beginner's Guide to R",Alain Zuur, Elena N. Ieno, Erik Meesters,
・その他
"All of Statistics",Larry Wasserman,
"Discrete Mathematics",László Lovász, József Pelikán, Katalin Vesztergombi,
"Reading, Writing, and Proving",Ulrich Daepp, Pamela Gorkin,
"Quantum Theory for Mathematicians",Brian C. Hall,
"Design and Analysis of Experiments",Angela Dean, Daniel Voss, Danel Draguljić,
"Applied Multivariate Statistical Analysis",Wolfgang Karl Härdle, Léopold Simar,
"Survival Analysis", David G. Kleinbaum, Mitchel Klein,
"Applied Quantitative Finance", Wolfgang Karl Härdle, Cathy Yi-Hsuan Chen, Ludger Overbeck,
"Fundamentals of Clinical Trials", Lawrence M. Friedman, Curt D. Furberg, David L. DeMets, David M. Reboussin, Christopher B. Granger,
"Proofs from THE BOOK", Martin Aigner, Günter M. Ziegler,
"A Pythagorean Introduction to Number Theory", Ramin Takloo-Bighash,
"LaTeX in 24 Hours", Dilip Datta,
"Computational Geometry", Mark de Berg, Otfried Cheong, Marc van Kreveld, Mark Overmars,
