Nam Le

Mathematics 24

Collected Lectures on Complex Analysis

πŸ“ Introduction to Complex Analysis - Michael Taylor πŸ“ An Introduction to Complex Analysis and Geometry - John P. D’Angelo (University of Illinois) πŸ“ A First Course in Complex Analysis - Matthias Beck, Gerald Marchesi, Dennis Pixton, Lucas Sabalka πŸ“ A Guide to Complex Variables - Steven G. Krantz πŸ“ Complex Analysis - Charles Walkden πŸ“ Complex Analysis - Christian Berg πŸ“ Complex Variables - R. B. Ash, W.P. Novinger πŸ“ Complex Analysis - Christer Bennewitz πŸ“ Complex Analysis - Donald E. Marshall πŸ“ A Concise Course in Complex Analysis and Riemann Surfaces - Wilhelm Schlag πŸ“ Complex Analysis - G. Cain (Georgia Tech) πŸ“ Complex Analysis - Juan Carlos Ponce Campuzano

Collected Lectures on Functional Analysis

πŸ“ An Introduction to Functional Analysis - Laurent W. Marcoux (University of Waterloo) πŸ“ Functional Analysis: Lecture Notes - Jeff Schenker (Michigan State University) πŸ“ Functional Analysis Lecture Notes - T.B. Ward (University of East Anglia) πŸ“ Functional Analysis - Alexander C. R. Belton πŸ“ Topics in Real and Functional Analysis - Gerald Teschl πŸ“ Functional Analysis - Christian Remling πŸ“ Theory of Functions of a Real Variable - Shlomo Sternberg πŸ“ Functional Analysis - Lawerence Baggett

Collected Lectures on Harmonic Analysis

πŸ“ Harmonic Analysis Lecture Notes - Richard S. Laugesen (University of Illinois at Urbana–Champaign) πŸ“ Harmonic Analysis - W. Schlag πŸ“ Lecture Notes: Fourier Transform and its Applications - Brad Osgood πŸ“ Fourier Analysis - Lucas Illing πŸ“ Mathematics of the Discrete Fourier Transform (DFT) with Audio Applications - Julius O. Smith III (Stanford University)

Collected Lectures on Measure Theory

πŸ“ An Introduction to Measure Theory - Terence Tao (UCLA) πŸ“ Lecture Notes on Measure Theory and Functional Analysis - P. Cannarsa, T. D’Aprile πŸ“ Lecture Notes in Measure Theory - Christer Borell πŸ“ A Crash Course on the Lebesgue Integral and Measure Theory - Steve Cheng πŸ“ Measure Theory - John K. Hunter (University of California at Davis) πŸ“ Measure and Integration - Dietmar A. Salamon (ETH ZΓΌrich) πŸ“ Lecture notes: Measure Theory - Bruce K. Driver

Collected Lectures on Ordinary Differential Equations (ODE)

πŸ“ Difference Equations To Differential Equations - Dan Sloughter πŸ“ Ordinary Differential Equation - Alexander Grigorian (University of Bielefeld) πŸ“ Ordinary Differential Equations: Lecture Notes - Eugen J. Ionascu πŸ“ Ordinary Differential Equations - Peter Philip πŸ“ Ordinary Differential Equations - Gabriel Nagy πŸ“ Ordinary Differential Equations and Dynamical Systems - Gerald Teschl πŸ“ Notes on Differential Equations - Bob Terrell πŸ“ Elementary Differential Equations - William F. Trench πŸ“ Elementary Differential Equations With Boundary Value Problems - William F. Trench πŸ“ Notes on Diffy Qs: Differential Equations for Engineers - JiΕ™Γ­ Lebl πŸ“ Differential Equations - H. B. Phillips (1922)

Collected Lectures on Partial Differential Equations (PDE)

πŸ“ Notes on Partial Differential Equations - John K. Hunter (University of California at Davis) πŸ“ Partial Differential Equations: Lecture Notes - Erich Miersemann (Leipzig University) πŸ“ Linear Methods of Applied Mathematics - E. Harrell, J. Herod (Georgia Tech)

Collected Lectures on Real Analysis

πŸ“ MIT OpenCourseWare Lectures on Calculus - G. Strang πŸ“ Elementary Calculus: An Approach Using Infinitesimals - Professor H. Jerome Keisler πŸ“ An Introduction to Real Analysis - John K. Hunter (University of California at Davis) πŸ“ Introduction to Real Analysis - William F. Trench (Trinity University, Texas) πŸ“ Basic Analysis: Introduction to Real Analysis - JiΕ™Γ­ Lebl πŸ“ Elementary Real Analysis - Thomson, Bruckner πŸ“ Lecture Notes in Real Analysis - Eric T. Sawyer (McMaster University) πŸ“ Real Analysis - C. McMullen πŸ“ Real Analysis for Graduate Students - Richard F. Bass πŸ“ Modern Real Analysis - William P. Ziemer (Indiana University) πŸ“ Mathematical Analysis Vol I - Elias Zakon πŸ“ Mathematical Analysis Vol II - Elias Zakon πŸ“ Advanced Calculus - Lynn Loomis, Schlomo Sternberg πŸ“ Analysis of Functions of a Single Variable - Lawerence Baggett πŸ“ The Calculus of Functions of Several Variables - Dan Sloughter πŸ“ A ProblemText in Advanced Calculus - John M. Erdman πŸ“ Calculus and Linear Algebra. Vol. 1 - Wilfred Kaplan, Donald J. Lewis πŸ“ Calculus and Linear Algebra. Vol. 2 - Wilfred Kaplan, Donald J. Lewis πŸ“ Introduction to Calculus I and II - J.H. Heinbockel πŸ“ Active Calculus - Matt Boelkins πŸ“ Supplements to the Exercises in Chapters 1-7 of Walter Rudin’s β€œPrinciples of Mathematical Analysis” - George M. Bergman πŸ“ Calculus Made Easy - Silvanus P. Thompson (1910) πŸ“ Elements of Differential and Integral Calculus - William Anthony Granville (1911) πŸ“ Precalculus - Carl Stitz, Jeff Zeager

Ebooks on Combinatorics

Metric $k$-center

General $k$-center problem statement: Let \((X, d)\) be a metric space where \(X\) is a set and \(d\) is a metric. A set \(V \subseteq X\) is provided together with a parameter \(k\). The goal is to find a subset \(C \subseteq V\) with \(|C| = k\) such that the maximum distance of a point in \(V\) to the closest point in \(C\) is minimized. The problem can be formally defined as follows: Input: a set $V \subseteq X$, and a parameter $k$. Output: a set $C \subseteq V$ of $k$ points. Goal: Minimize the cost $r^C(V) = \max_{v \in V} d(v, C)$ The k-Center Clustering problem can also be defined on a complete undirected graph $G = (V, E)$ as follows:

Mathematics - Algebra

Major branches: Elementary algebra Linear algebra Abstract algebra Group theory Ring theory Field theory

Mathematics - Calculus of Variations

Mathematics - Combinatorics

Related fields: Combinatorial optimization Coding theory Discrete and computational geometry Combinatorics and dynamical systems Combinatorics and physics

Mathematics - Complex Analysis

Mathematics - Dynamical Systems

Mathematics - Functional Analysis

Mathematics - Harmonic Analysis

Mathematics - Mathematical analysis

Main branches: Calculus Real analysis Complex analysis Functional analysis Harmonic analysis Differential equations Measure theory Numerical analysis Vector analysis Scalar analysis Tensor analysis Other branches (small or related): Calculus of variations Geometric analysis Clifford analysis p-adic analysis Non-standard analysis Computable analysis Stochastic calculus Set-valued analysis Convex analysis Idempotent analysis Tropical analysis Constructive analysis Intuitionistic analysis Paraconsistent analysis

Mathematics - Measure Theory

Mathematics - Ordinary Differential Equations (ODE)

Mathematics - Partial Differential Equations (PDE)

Mathematics - Real Analysis

Mathematics for Computer Science

Reading list & mathematics resources.

Math Reading List

Mathematics

Study Mathematics # Master of Science in Mathematics @ HCMUS Branches of Mathematics # 1. Foundation of Mathematics # Transition To Pure Rigour Math Set Theory Logic Category Theory Type Theory Homotopy Type Theory Surreal Numbers 2. Number Theory # Algebraic Number Theory Analytic Number Theory 3. Algebra # Abstract Algebra Group Theory Linear Algebra Ring Theory Galois Theory Lie Algebras 4. Combinatorics # Probabilistic methods in Combinatorics Algebraic Combinatorics Graph Theory 5. Geometry Topology # Differential Geometry Algebraic Geometry Algebraic Statistics Topology Algebraic Topology 6. Mathematical analysis # Real Analysis Harmonic Analysis Complex Analysis Functional Analysis Measure Theory ODE PDE Variational Analysis Calculus of Variations Calculus (Single/ Multi-variables) Optimization & Operation Research Dynamical Systems Set-valued Analysis 7. Probability and Statistics # Probability Theory Statistics Statistical Learning Stochastic processes 8. Numerical Analysis # 9. Signal Processing # 10. Mathematics for Computer Science # 11. Mathematical Physics #