September Math Springer eBooks

500 Examples and Problems of Applied Differential Equations   by  Ravi P. Agarwal, Simona Hodis, Donal O’Regan
Advanced Methods for Geometric Modeling and Numerical Simulation   by  Carlotta Giannelli, Hendrik Speleers
Bayesian Optimization and Data Science   by  Francesco Archetti, Antonio Candelieri
Computational Intelligence and Optimization Methods for Control Engineering   by  Maude Josée Blondin, Panos M. Pardalos, Javier Sanchis Sáez
Frontiers of Dynamic Games   by  Leon A. Petrosyan, Vladimir V. Mazalov, Nikolay A. Zenkevich
Hamiltonian Group Actions and Equivariant Cohomology   by  Shubham Dwivedi, Jonathan Herman, Lisa C. Jeffrey, Theo van den Hurk
Imperfect Bifurcation in Structures and Materials, 3rd ed.   by  Kiyohiro Ikeda, Kazuo Murota
Interdisciplinary Perspectives on Math Cognition   by  Marcel Danesi
Introduction to Algebraic Statistics with Tensors   by  Cristiano Bocci, Luca Chiantini
Introduction to Numerical Methods for Variational Problems   by  Hans Petter Langtangen, Kent-Andre Mardal
Large Scale Optimization in Supply Chains and Smart Manufacturing   by  Jesús M. Velásquez-Bermúdez, Marzieh Khakifirooz, Mahdi Fathi
Magic and Antimagic Graphs   by  Martin Bača, Mirka Miller, Joe Ryan, Andrea Semaničová-Feňovčíková
Magnetic Resonance Brain Imaging   by  Jörg Polzehl, Karsten Tabelow
Mathematical Foundations of Game Theory   by  Rida Laraki, Jérôme Renault, Sylvain Sorin
Mathematical Modelling and Biomechanics of the Brain   by  Corina Drapaca, Siv Sivaloganathan
Measure and Integration   by  Satish Shirali, Harkrishan Lal Vasudeva
Microlocal Analysis, Sharp Spectral Asymptotics and Applications I   by  Victor Ivrii
Microlocal Analysis, Sharp Spectral Asymptotics and Applications II   by  Victor Ivrii
Microlocal Analysis, Sharp Spectral Asymptotics and Applications III   by  Victor Ivrii
Microlocal Analysis, Sharp Spectral Asymptotics and Applications IV   by  Victor Ivrii
Microlocal Analysis, Sharp Spectral Asymptotics and Applications V   by  Victor Ivrii
Model–Theoretic Approach to Proof Theory   by  Henryk Kotlarski, Zofia Adamowicz, Teresa Bigorajska, Konrad Zdanowski
Neural Networks and Statistical Learning, 2nd ed.   by  Ke-Lin Du, M. N. S. Swamy
Nonlinear Analysis and Boundary Value Problems   by  Iván Area, Alberto Cabada, José Ángel Cid, Daniel Franco, Eduardo Liz, Rodrigo López Pouso, Rosana Rodríguez-López
Nonlinear Expectations and Stochastic Calculus under Uncertainty   by  Shige Peng
On Hilbert-Type and Hardy-Type Integral Inequalities and Applications   by  Bicheng Yang, Michael Th. Rassias
Partial Regularity Theory of Caffarelli, Kohn, and Nirenberg and its Sharpness   by  Wojciech S. Ożański
Physical and Mathematical Foundations of the Theory of Relativity   by  Antonio Romano, Mario Mango Furnari
Research Problems in Function Theory   by  Walter K. Hayman, Eleanor F. Lingham
Satellite Dynamics and Space Missions   by  Giulio Baù, Alessandra Celletti, Cătălin Bogdan Galeș, Giovanni Federico Gronchi
Selected Essays on Pre- and Early Modern Mathematical Practice   by  Jens Høyrup
Stationary Diffraction by Wedges   by  Alexander Komech, Anatoli Merzon
Statistical Learning of Complex Data   by  Francesca Greselin, Laura Deldossi, Luca Bagnato, Maurizio Vichi
Statistical Mechanics of Classical and Disordered Systems   by  Véronique Gayrard, Louis-Pierre Arguin, Nicola Kistler, Irina Kourkova
Symplectic Difference Systems: Oscillation and Spectral Theory   by  Ondřej Došlý, Julia Elyseeva, Roman Šimon Hilscher
Targeting Uplift   by  René Michel, Igor Schnakenburg, Tobias von Martens
Tropical Intraseasonal Variability and the Stochastic Skeleton Method   by  Andrew J. Majda, Samuel N. Stechmann, Shengqian Chen, H. Reed Ogrosky, Sulian Thual
View of Operations Research Applications in Italy, 2018   by  Mauro Dell’Amico, Manlio Gaudioso, Giuseppe Stecca
Wavelet Solutions for Reaction–Diffusion Problems in Science and Engineering   by  G. Hariharan

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Alison Verbeck is the Physics Librarian at Washington University. For more information, contact Alison: