Mathematics

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Optimization and Learning via Stochastic Gradient Search Optimization and Learning via Stochastic Gradient Search Felisa Vázquez-Abad and Bernd Heidergott

An introduction to gradient-based stochastic optimization that integrates theory and implementation

The Doctrine of Triangles The Doctrine of Triangles: A History of Modern Trigonometry Glen Van Brummelen

An interdisciplinary history of trigonometry from the mid-sixteenth century to the early twentieth

Adelic Line Bundles on Quasi-Projective Varieties Adelic Line Bundles on Quasi-Projective Varieties Xinyi Yuan and Shou-Wu Zhang

A comprehensive new theory of adelic line bundles on quasi-projective varieties over finitely generated fields

The Rising Sea The Rising Sea: Foundations of Algebraic Geometry Ravi Vakil

An accessible, motivated introduction to one of the most dynamic areas of mathematics

The Football The Football: The Amazing Mathematics of the World's Most Watched Object Étienne Ghys

An illustration-packed dive into the geometry, engineering, and physics of soccer balls

The Proof Stage The Proof Stage: How Theater Reveals the Human Truth of Mathematics Stephen Abbott

How playwrights from Alfred Jarry and Samuel Beckett to Tom Stoppard and Simon McBurney brought the power of mathematics to life on the stage

The Mathematical Radio The Mathematical Radio: Inside the Magic of AM, FM, and Single-Sideband Paul J. Nahin

How a modern radio works, told through mathematics, history, and selected puzzles

Pentagons and Pentagrams Pentagons and Pentagrams: An Illustrated History Eli Maor and Eugen Jost

A fascinating exploration of the pentagon and its role in various cultures

The Essential Einstein: Public Writings The Essential Einstein: Public Writings Albert Einstein

The ultimate collection of Einstein’s public writings on everything from religion and art to pacifism and the atomic bomb

The Essential Einstein: Scientific Writings The Essential Einstein: Scientific Writings Albert Einstein

The ultimate collection of Einstein’s scientific writings on everything from statistical mechanics to general relativity

AI Snake Oil AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference Arvind Narayanan and Sayash Kapoor

From two of °Õ±õ²Ñ·¡â€™s 100 Most Influential People in AI, what you need to know about AI—and how to defend yourself against bogus AI claims and products

Python Practice Lab Python Practice Lab: Learn How to Code through Interactive Examples Angelica Lim and Victor Cheung

A guide to learning basic programming by writing fun, working programs that gradually become more complex

Theoretical Ecology Theoretical Ecology: Concepts and Models with R Ryan Chisholm

An accessible and wide-ranging introduction to the concepts and tools of theoretical ecology

Quasiperiodic Solutions of the Generalized SQG Equation Quasiperiodic Solutions of the Generalized SQG Equation Javier Gómez-Serrano, Alexandru D. Ionescu, and Jaemin Park

New, broadly applicable, parameter-free techniques for constructing stable quasiperiodic solutions of quasilinear evolution equations

The Delicate Art of Brute Force The Delicate Art of Brute Force: How to Compute It When You Can't Solve It Paul J. Nahin

Using everyday computational power to tackle complex—and seemingly unsolvable—math problems

Reaching for the Extreme Reaching for the Extreme: How the Quest for the Biggest, Fewest, and Weirdest Makes Math Ian Stewart

From bestselling author and mathematician Ian Stewart, the fascinating story of the extreme problems that have driven math forward from antiquity to today

"Stewart has a genius for explanation."—New Scientist

Unlocking Justice Unlocking Justice: The Power of Data to Confront Inequity and Create Change Chad M. Topaz

How we can challenge social injustice—with data and humanity

To Think Like a Statistician To Think Like a Statistician Bradley Efron

Why you don’t need to be a statistician to think like one

Discrete Choice Models Discrete Choice Models: Mathematical Methods, Econometrics, and Data Science Alfred Galichon

A foundational treatment of discrete choice models, with a focus on random utility models

An Introduction to String Algorithms An Introduction to String Algorithms Carl Kingsford

An essential introduction to the building blocks of modern text processing