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This week’s books in Mathematics
Here are this week’s new releases for the category ‘Mathematics’.
|   | ★ Our Staff Pick              ★ Everything Is Predictable: How Bayesian Statistics Explain Our World By Tom Chivers           Publisher: Atria/One Signal Publishers           | 
|   | After the Spike: Population, Progress, and the Case for People By Dean Spears (Author), Michael Geruso (Author)           Publisher: Simon & Schuster           | 
|   | Discrete and Computational Geometry, 2nd Edition By Satyan L. Devadoss (Author), Joseph O'Rourke (Author)           Publisher: Princeton University Press           | 
|   | General Relativity (Series in Astronomy and Astrophysics) By Nicola Vittorio           Publisher: CRC Press           | 
|   | Mastering Game Theory: A Comprehensive Introduction to Strategic Decision Making (Classroom Companion: Economics) By Ismail Saglam           Publisher: Springer           | 
|   | Introduction to Differential and Difference Equations through Modeling (Textbooks in Mathematics) By William P. Fox (Author), Robert E. Burks Jr. (Author)           Publisher: Chapman and Hall/CRC           | 
|   | Unlock Geometry: Become A Genius (College Mathematics Book 2) By Apollos Ezeogu (Author), Muazu Omeji (Author) et al.           Publisher: KBIIT Ltd           | 
|   | Distributed Linguistic Representations and Decision Making (Uncertainty and Operations Research) By Yuzhu Wu (Author), Yucheng Dong (Author)           Publisher: Springer           | 
|   | The Magic Theorem: A Greatly-Expanded, Much-Abridged Edition of The Symmetries of Things (AK Peters/CRC Recreational Mathematics Series) By John H. Conway (Author), Heidi Burgiel (Author), Chaim Goodman-Strauss (Author)           Publisher: A K Peters/CRC Press           | 
|   | Combinatorics, Graph Theory and Computing: SEICCGTC 2023, Boca Raton, USA, March 6–10 (Springer Proceedings in Mathematics & Statistics, 489) By Frederick Hoffman (Editor), Sarah Heuss (Editor) et al.           Publisher: Springer           | 
|   | Coupling and Ergodic Theorems for Semi-Markov-Type Processes I: Markov Chains, Renewal, and Regenerative Processes By Dmitrii Silvestrov           Publisher: Springer           | 
|   | The Conway–Maxwell–Poisson Distribution (Institute of Mathematical Statistics Monographs) By Kimberly F. Sellers           Publisher: Cambridge University Press           | 
 
