Advanced Graph Theory by Santosh Kumar Yadav
Advances in Numerical Methods for Hyperbolic Balance Laws and Related Problems by Giacomo Albi, Walter Boscheri, Mattia Zanella
Applied Analysis, Optimization and Soft Computing by Tanmoy Som, Debdas Ghosh, Oscar Castillo, Adrian Petrusel, Dayaram Sahu
Applied Calculus with R by Thomas J. Pfaff
Art and IR Theory by Serdar Ş. Güner
Automatic Control with Interactive Tools by José Luis Guzmán, Ramon Costa-Castelló, Manuel Berenguel, Sebastián Dormido
C*-Algebras and Mathematical Foundations of Quantum Statistical Mechanics by Jean-Bernard Bru, Walter Alberto de Siqueira Pedra
Capturing the Senses by Giacomo Landeschi, Eleanor Betts
Deep Learning and Medical Applications by Jin Keun Seo
Differential Equations, Mathematical Modeling and Computational Algorithms by Vladimir Vasilyev
Elementary Convexity with Optimization by Vivek S. Borkar, K. S. Mallikarjuna Rao
Elements and Relations by Martin Zwick
Equations of Mathematical Physics by A. S. Demidov
Field Arithmetic, 4th ed. by Michael D. Fried, Moshe Jarden
Finite Element Approximation of Contact and Friction in Elasticity by Franz Chouly, Patrick Hild, Yves Renard
Fractional Differential Equations by Angelamaria Cardone, Marco Donatelli, Fabio Durastante, Roberto Garrappa, Mariarosa Mazza, Marina Popolizio
Functional Analysis and Continuous Optimization by José M. Amigó, María J. Cánovas, Marco A. López-Cerdá, Manuel López-Pellicer
Generalized Lorenz-Mie Theories, 3rd ed. by Gérard Gouesbet, Gérard Gréhan
Geometry of Linear Matrix Inequalities by Tim Netzer, Daniel Plaumann
Group Theory by Dinesh Khattar, Neha Agrawal
High Dimensional Probability IX by Radosław Adamczak, Nathael Gozlan, Karim Lounici, Mokshay Madiman
Industrial Statistics by Ron S. Kenett, Shelemyahu Zacks, Peter Gedeck
Introduction to Smooth Manifolds by Manjusha Majumdar, Arindam Bhattacharyya
Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor
Kernel Determination Problems in Hyperbolic Integro-Differential Equations by Durdimurod K. Durdiev, Zhanna D. Totieva
Machine Learning and Big Data Analytics by Rajiv Misra, Rana Omer, Muttukrishnan Rajarajan, Bharadwaj Veeravalli, Nishtha Kesswani, Priyanka Mishra
Measurement, Mathematics and New Quantification Theory by Shizuhiko Nishisato
Model Order Reduction and Applications by Michael Hinze, J. Nathan Kutz, Olga Mula, Karsten Urban, Maurizio Falcone, Gianluigi Rozza
More Explorations in Complex Functions by Richard Beals, Roderick S.C. Wong
Multimodal Affective Computing by Ramón Zatarain Cabada, Héctor Manuel Cárdenas López, Hugo Jair Escalante
Multiscale Model Reduction by Eric Chung, Yalchin Efendiev, Thomas Y. Hou
Neural Networks and Deep Learning, 2nd ed. by Charu C. Aggarwal
Non-Gaussian Selfsimilar Stochastic Processes by Ciprian Tudor
Optimisation convexe et inéquations variationnelles monotones by Jean-Pierre Crouzeix, Abdelhak Hassouni, Eladio Ocaña-Anaya
Optimization Methods for Structural Engineering by Ishaan R. Kale, Ali Sadollah
Ordinary Differential Equations by Victor Henner, Alexander Nepomnyashchy, Tatyana Belozerova, Mikhail Khenner
Philosophy of Mathematics in Antiquity and in Modern Times by Ulrich Felgner
Probabilistic SIR Model (PSIR) in the Pandemic Process by Marcus Hellwig
Quantitative Psychology by Marie Wiberg, Dylan Molenaar, Jorge González, Jee-Seon Kim, Heungsun Hwang
Ring Theory by Dinesh Khattar, Neha Agrawal
Some Fundamentals of Mathematics of Blockchain by Julien Riposo
Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2020+1 by Jens M. Melenk, Ilaria Perugia, Joachim Schöberl, Christoph Schwab
Stochastic Partial Differential Equations in Fluid Mechanics by Franco Flandoli, Eliseo Luongo
Ulam’s Conjecture on Invariance of Measure in the Hilbert Cube by Soon-Mo Jung
New Springer Math eBooks in June
07/06/2023
Alison Verbeck
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