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  • “A First Course in General Relativity” by Bernard Schutz
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  • “Topological Vector Spaces (Graduate Texts in Mathematics)” by H. H. Schaefer, M. P. Wolff
  • “Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering” by Steven Henry Strogatz
  • “Complex Geometry” by Daniel Huybrechts
  • “Convex Optimization” by Stephen Boyd, Lieven Vandenberghe
  • “Convex Optimization Algorithms” by Dimitri P. Bertsekas
  • “Genetic Algorithms in Search, Optimization, and Machine Learning” by David E. Goldberg
  • “Statistical Decision Theory and Bayesian Analysis” by James O. Berger
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  • “An Introduction to Ergodic Theory” by Peter Walters
  • “Statistical Mechanics” by R. K. Pathria, Paul D. Beale
  • “Statistical Physics of Fields” by Mehran Kardar
  • “Solutions Manual to Kardar” by Mehran Kardar
  • “A Modern Course in Statistical Physics” by L. E. Reichl
  • “Partial Differential Equations: An Introduction, 2nd Edition” by Walter A. Strauss
  • “Mathematical Linguistics” by Andras Kornai
  • “Partial Differential Equations (2nd Edn)” by Lawrence C. Evans
  • “Principles of Corporate Finance” by Richard A. Brealey, Stewart C. Myers, Franklin Allen
  • “Principles of Economics 5th ed” by Robert Frank, Ben Bernanke, Kate Antonovics, Ori Heffetz
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  • “Nonparametric Statistics” by Gregory W. Corder, Dale I. Foreman
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  • “Neural Networks and Learning Machines, Third Edition” by Simon Haykin
  • “Mathematical Control Theory: Deterministic Finite Dimensional Systems” by Eduardo D. Sontag
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  • “Simulation and the Monte Carlo Method” by Reuven Y. Rubinstein, Dirk P. Kroese
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  • “The Princeton Companion to Mathematics” by Timothy Gowers, June Barrow-Green, Imre Leader
  • “The Radon Transform and Some of Its Applications” by Stanley Roderick Deans
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  • “Introductory Lectures on Convex Optimization: A Basic Course (Applied Optimization)” by Yurii Nesterov
  • “One Thousand Exercises in Probability” by Geoffrey Grimmett, David Stirzaker
  • “Intuitive Combinatorial Topology” by V. G. Boltyanskii, V. A. Efremovich, J. Stillwell, A. Shenitzer
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  • “Combinatorial Commutative Algebra” by Ezra Miller, Bernd Sturmfels
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  • “Advanced Mathematical Methods for Scientists and Engineers: Asymptotic Methods and Perturbation Theory” by Carl M. Bender, Steven A. Orszag
  • “Percolation” by Geoffrey Grimmett
  • “Complexity and Criticality” by Kim Christensen, Nicholas R. Moloney
  • “Catastrophe Theory” by V. I. Arnold
  • “Topics in Random Matrix Theory” by Terence Tao
  • “Statistical Mechanics: Rigorous Results” by David Ruelle
  • “Distributed Computing Through Combinatorial Topology” by Maurice Herlihy, Sergio Rajsbaum
  • “Higher Order Fourier Analysis” by Terence Tao
  • “Random Matrices, Volume 142, Third Edition (Pure and Applied Mathematics)” by Madan Lal Mehta
  • “Combinatorial Optimization: Theory and Algorithms” by Bernhard Korte, Jens Vygen
  • “Probability and Computing: Randomized Algorithms and Probabilistic Analysis” by Michael Mitzenmacher, Eli Upfal
  • “The Design of Approximation Algorithms” by David P. Williamson
  • “The Probabilistic Method (Wiley Series in Discrete Mathematics and Optimization)” by Noga Alon, Joel H. Spencer
  • “Oriented Matroids” by Anders Björner, Michel Las Vergnas, Bernd Sturmfels, Neil White, Günter M. Ziegler
  • “Stochastic Differential Equations: An Introduction With Applications” by Bernt Øksendal
  • “The Fokker-Planck Equation: Methods of Solution and Applications” by Hannes Risken
  • “Nonlinear Fokker-Planck Equations: Fundamentals and Applications” by T. D. Frank
  • “Neuro-Dynamic Programming” by Dimitri P. Bertsekas, John N. Tsitsiklis
  • “Abstract Dynamic Programming” by Dimitri P. Bertsekas
  • “Stochastic Approximation Algorithms and Applications” by Harold Joseph Kushner, George Yin
  • “Stability Theory by Liapunov’s Second Method” by Taro Yoshizawa
  • “Introduction to Toric Varieties” by William Fulton
  • “Toric Varieties” by David Cox, John Little, Hal Schenck
  • “Mathematical Methods for Physicists, 6th Edition” by George B. Arfken
  • “Geometric Measure Theory: A Beginner’s Guide” by Frank Morgan
  • “Geometric Measure Theory” by Herbert Federer
  • “Lectures on Geometric Measure Theory” by Leon Simon, Australian National University Centre for Mathematical Analysis
  • “Measure Theory and Fine Properties of Functions, Revised Edition” by Lawrence Craig Evans, Ronald F. Gariepy
  • “Geometry of Sets and Measures in Euclidean Spaces: Fractals and Rectifiability” by Pertti Mattila
  • “Free Probability and Random Matrices” by James A. Mingo, Roland Speicher
  • “The Dynamical System Generated by the 3n+1 Function” by Günther J. Wirsching
  • “Introduction to Finance: Markets, Investments, and Financial Management, 16th Edition: Markets, Investments, and Financial Management” by Ronald W. Melicher, Edgar A. Norton
  • “Exponential Sums and Their Applications” by N. M. Korobov
  • “A Course in P-Adic Analysis” by Alain M. Robert
  • “Transcendental and Algebraic Numbers” by A. O. Gelfond, Leo F. Boron
  • “Introduction to Analytic Number Theory” by Tom M. Apostol
  • “What Is a Quantum Field Theory?” by Michel Talagrand
  • “Gravity: An Introduction to Einstein’s General Relativity, Pearson New International Edition” by James B. Hartle
  • “Faraday, Maxwell, and the Electromagnetic Field: How Two Men Revolutionized Physics” by Nancy Forbes, Basil Mahon
  • “Optimal Transport: Old and New” by Cédric Villani
  • “Mean Field Models for Spin Glasses: Volume II: Advanced Replica-Symmetry and Low Temperature” by Michel Talagrand
  • “Mean Field Models for Spin Glasses: Volume I: Basic Examples” by Michel Talagrand
  • “Quantum Physics: A Functional Integral Point of View” by James Glimm, Arthur Jaffe
  • “Introduction to Conformal Field Theory: With Applications to String Theory (Lecture Notes in Physics)” by Ralph Blumenhagen, Erik Plauschinn
  • “Upper and Lower Bounds for Stochastic Processes: Modern Methods and Classical Problems” by Michel Talagrand
  • “The Generic Chaining: Upper and Lower Bounds of Stochastic Processes” by Michel Talagrand
  • “Geometric Aspects of Functional Analysis: Israel Seminar (GAFA) 2014–2016” by Bo’az Klartag, Emanuel Milman
  • “Random Fields and Geometry” by R. J. Adler, Jonathan E. Taylor