## What I've been reading

The following is a list of various things that I have read (to some extent) since starting graduate school. I don't claim to have read all (or even most) of any particular item on the list; this is just meant to record past and present interests of mine. The ordering in each section is alphabetical by author.

[home]
### Fall 2017

Fundamentals of Condensed Matter Physics (Cohen/Louie)

Quantum Field Theory (Folland)

Quantum Many-Particle Systems (Negele/Orland)

### Spring/Summer 2017

Interacting Electrons (Martin/Reining/Ceperley)

Quantum Many-Particle Systems (Negele/Orland)

Quantum Computation and Quantum Information (Nielsen/Chuang)

### Fall 2016

Condensed Matter Field Theory (Altland/Simons)

A Guide to Feynman Diagrams in the Many-Body Problem (Mattuck)

Numerical Linear Algebra (Trefethen)

#### For qualifying exam preparation:

Partial Differential Equations (Evans)

Finite Difference Methods for Ordinary and Partial Differential Equations (LeVeque)

Lectures on Dynamical Systems (Rezakhanlou)

### Summer 2016

Metastability: A Potential-Theoretic Approach (Bovier/den Hollander)

Invariant measures and the soliton resolution conjecture (Chatterjee)

Introduction to Geophysical Fluid Dynamics (Cushman-Roisin/Beckers)

A tutorial on particle filtering and smoothing: fifteen years later (Doucet/Johansen)

Electronic Structure Theory (video lectures from MSRI summer school) (Lin/Lu)

Stochastic Differential Equations (Øksendal)

Probabilistic Forecasting and Bayesian Data Assimilation (Reich/Cotter)

Lectures on Dynamical Systems (Rezakhanlou)

Lectures on the Large Deviation Principle (Rezakhanlou)

Various articles on stochastic parametrization and the ensemble Kalman filter

### Spring 2016

Fully Nonlinear Elliptic Equations (Caffarelli/Cabré)

Some notes on viscosity solutions of Hamilton-Jacobi equations (Calder)

Level Set Methods and Fast Marching Methods (Sethian)

Nonlinear Dispersive Equations: Local and Global Analysis (Tao)

Topics in Random Matrix Theory (Tao)

High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Wainwright)

Various articles of S. Chatterjee and K. Kirkpatrick on localization and NLS

### Fall 2015

A Mathematical Introduction to Fluid Mechanics (Chorin/Marsden)

Vorticity and Turbulence (Chorin)

Stochastic Tools in Mathematics and Science (Chorin/Hald)

Partial Differential Equations (Evans)

The Concentration of Measure Phenomenon (Ledoux)

Markov Chains and Mixing Times (Levin/Peres/Wilmer)

Stochastic Differential Equations (Øksendal)

A survey of Ricci curvature for metric spaces and Markov chains (Ollivier)

Optimal Transport for Applied Mathematicians (Santambrogio)

Various articles on phase retrieval, inverse imaging problems, and X-ray diffraction imaging