**Epic textbooks**, **manuals** and **guides** for the mathematically-inclined, along with other less mathy masterpieces here and there!

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- Recommended Books on Higher Mathematics

Arithmetics, math puzzles, mathematical initiation and all that goodness

— By **Arthur Benjamin** and **Michael Shermer**

A step-by-step guide on how the mathemagician Arthur Benjamin, a mathematician and a professional magician himself, manages to pull off gigantic arithmetic calculations off of top of his head through a combination of **smart tricks** and **mnemonic techniques**.

- Addition
- Substraction
- Multiplication
- Divis
**ion

- Memorizing large numbers
- Calendar-related calculation
- Guess-estimation
- Vedic division

— By **Paul Lockhart**

In this 140-page essay, Paul Lockhart decries the deplorable state of the traditional U.S. K-12 math educational system, and passionately calls for the need to teach mathematics as a **creative endeavour** and an **artform**.

- Mathematics is primarily an
**artform**, not a tool. **U.S. K-12 math education**has lost touch with what mathematics is, and what mathematicians do.- By teaching math without the
**whys**and the**contexts**, mathematics is in effect reduced to an empty shell. - The essence of mathematics is
**abstraction**— not the memorization or applications of facts and figures.

— By **John Mason**, **Leone Burton** and **Kaye Stacey **

A book dedicated to taking one from the mere act of exercise solving to the core of mathematics — **mathematical thinking**. It showcases the different mental processes for dissecting a problem, and discusses how one can go from a master of tricks into an actual, standalone mathematical thinker.

- A thorough treatment on
**mathematical investigation** - A mental framework for dealing with
**intellectual plateaus** - Illustrative, beginner-level
**problems**(with guidance or hints) - An
**integrated approach**to problem solving and the associated mental processes

— By **Richard Courant** and **Herbert Robbins**

An all-time cl~~a~~ssic in **mathematical initiation**. Written in a quasi-literary style by two prominent 20th-century mathematicians. It encourages the use of problem solving to develop new insight and understanding, and takes its readers gently to the different branches of higher mathematics.

- Elementary number theory
- Analytic geometry

- Topology
- Calculus

— By **Philip Davis** and **Reuben Hersh**

A collection of **humanistic**, **semi-technical essays** about some of most fundamental questions and philosophical issues in mathematics, along with the historical development of the various subtopics and peripheral topics in mathematics. Some experience with undergrad math is recommended.

- Mathematical creation vs. discovery
- Mathematical beauty and elegance
- Math as an
**intermediate reality**between the physical and the subjective - Intro into
**Fourier analysis**,**non-Cantorian set theory**,**finite group theory**,**non-standard calculus**and other topics

College algebra, calculus, linear algebra, differential equations and the like.

— By **Gilbert Strang**

A 500-page **linear algebra classic** by one of most sought-after educator in the field. It features conversational-style narratives, review sections and challenge problems, all of the while maintaining a focus on geometric intuition and real-life applications.

- Matrices
- System of linear equations
- Vector space
- Orthogonality

- Determinant
- Eigenvector
- Singular value decomposition
- Linear transformation

— By **James Stewart******

An accessible, ultra-comprehensive textbook on almost everything **calculus** has to offer. 30 years in the making, and strikes a balance between applicability and rigor. Each section comes with a motivating discussion, followed by several solved examples and many problem sets afterwards.

- Derivatives
- Derivative applications
- Integration techniques

- Partial derivatives
- Multiple integrals
- Lagrange multipliers

- Divergence / Curl
- Applications of integrals
- Differential equations

Discrete/continuous distributions, hypothesis testing, analysis of variance, Bayesian inference and more.

— By **James McClave** and **Terry Sincich**

A comprehensive, time-tested, non-calculus-based textbook on much of what applied statistics has to offer. It's accessible to almost anyone with a background in high-school math, and features a wide range of explanations, examples, sample problems and exercises to choose from.

- Descriptive statistics
- Basic probability
- Probability distributions

- Confidence interval
- Hypothesis testing
- Analysis of variance

- Linear regression
- Categorical data analysis
- Non-parametric statistics

— By **Dennis Wackerly**, **William Mendenhall** and **Richard Scheaffer**

A solid, calculus-based textbook on probability and statistics from the mathematical point of view. It strikes a good balance between theory and applications, while featuring a wide range of problems to further solidify the mechanics and the understanding of concepts and theorems.

- Probability distributions
- Moment-generating functions
- Law of large numbers
- Central Limit Theorem

- Methods of estimation
- Analysis of variance
- Non-parametric statistics
- Bayesian inference

Basic logic, proof techniques and their applications in higher mathematics.

— By **Daniel Solow**

A unique, 170-page book with a systematic approach in identifying, categorizing and explaining a **mathematical proof** and its making. Written in accessible conversational style, it also features 15 video lectures and the solution manual on its student companion website.

- Forward-backward method
- Construction method
- Choose method
- Generalisation

- Unification
- Dual representation
- Abstraction

— By **Daniel Velleman******

A 300-page classic which takes a reader from not knowing what a **proof** is, to being able to carry out one proficiently. Notable features include conversational-style instructions, extensive proof illustrations and gently-crafted exercise sets. Accessible to high school students and beyond.

- Basic logic
- Elementary set theory
- Proof techniques
- Mathematical induction

- Relation
- Function
- Infinite sets
- Schröder–Bernstein theorem

Abstract algebra, proof-based linear algebra and other goodness.

— By **Linda Gilbert**

An accessible, time-tested textbook on first-year **abstract algebra**, featuring neat formatting, clear presentation, and a surprising amount of examples both within and after a section. Ideal for both self-study and reference purpose.

- Set theory
- Integer
- Group
- Ring

- Integral domain
- Field
- Complex number
- Polynomial

— By **Sheldon Axler**

A unique 250-page textbook covering **second-year linear algebra** through a non-standard route (i.e., without resorting to determinant — which is only covered in the last chapter of the book). The 3rd edition represents a major improvement in terms of both formatting and exercise set expansion.

- Vector space
- Basis
- Linear mapping
- Polynomial

- Eigenspace
- Inner product space
- Duality
- Spectral theorem

Platonic solids, fractals, manifolds and other highly-visual math.

— By **Richard Rusczyk**

A standalone, 500-page textbook on introductory geometry — written by a former winner of USA Mathematical Olympiad. Aside from the concise explanations, it also features 900+ problems which are Useful for developing one's geometric intuition and spatial reasoning skill.

- Angle
- Similar / Congruent triangles
- Quadrilaterals
- Power of a point

- Polygon
- Circle
- 3D geometry
- Transformations

Number theory, combinatorics, graph theory... Very discrete.

— By **Suzanna Epp**

A modern, ultra-comprehensive textbook on much of what **discrete mathematics** has to offer, featuring clear, accessible explanations along with numerous solved examples and exercise sets.

- Set Theory
- Logic
- Proof techniques
- Relation

- Sequence
- Recurrence relation
- Cardinality
- Counting techniques

- Graph
- Logic circuit
- Algorithmic efficiency
- Finite-state automata

— By **Kenneth Rosen**

The **de-facto bible** in discrete mathematics. Accessible, application-driven and rich in visuals and problem sets.

- Set and logic
- Function
- Algorithmic complexity
- Cryptography
- Recursive structure

- Spanning tree
- Boolean algebra
- Logic circuit
- Turing machine
- Structural induction

- Cardinality
- Modular arithmetic
- Recurrent relation
- Generating function
- Counting techniques

Real analysis, complex analysis, numerical analysis — among other "continuous math".

— By **Stephen Abbott**

A solid and accessible textbook that provides a unifying view of **first-year real analysis**. Each section starts with some historical motivation behind the topic, followed by many engaging examples and thought processes through which a problem can be solved.

- Limit
- Sequence
- Series
- Point-set topology

- Continuity
- Derivative
- Uniform convergence
- Integral

— By **Robert Wrede** and **Murray Spiegel**

A 400-page review guide with 1370+ solved and unsolved problems in anything **advanced calculus**. While not suitable as a first text, it's nonetheless very useful for people who want to hone in their advanced calculus skill in a very efficient and cost-effective manner.

- Sequence and series
- Function and limit
- Derivative
- Continuity
- Integral

- Partial derivative
- Multiple integral
- Line integral
- Surface integral
- Integral theorems

- Improper integral
- Fourier series
- Gamma / Beta functions
- Complex-variable function

— By **David Wunsch**

A unique textbook which demystifies **complex analysis** through a series of clear presentations, accessible discussions, solved examples and problem sets. Ideal for students in engineering and other applied sciences.

- Complex transcendental functions
- Analyticity
- Contour integration
- Cauchy integral formula

- Laurent series
- Residue mapping
- Conformal mapping

— By **Timothy Sauer**

A neatly-formatted, well-organized textbook on the various aspects of **numerical analysis**. It strikes a fine balance between theory and applicability, and features clear expositions, solved examples and relevant MATLAB codes throughout the text.

- Numerical root-finding
- Interpolation
- System of linear equations
- Least-square methods

- Numerical differentiation
- Numerical integration
- Numerical ODE methods
- Numerical PDE methods

First-order logic, proof systems, meta-theory and other foundation stuffs.

— By **Patrick Hurley**

A comprehensive, mostly-non-technical survey on critical thinking and the various forms of **logic** in our daily routines, with Part II of the book dedicated to the development of formal logic and other math-based reasoning.

- Propositional logic
- Predicate logic
- Natural deduction
- Rules of inference

- Inductive reasoning
- Legal reasoning
- Probabilistic reasoning
- Statistical reasoning

— By **David Barker-Plummer**, **Jon Barwise** and **John Etchemendy**** **

A comprehensive, accessible textbook on **first-order logic** and its associated meta-theory. It's based on the proof system Fitch and covers logic at both introductory and intermediate levels (for students majoring in philosophy).

- Formal / informal translations
- Truth table
- Fitch system

- Axiomatic set theory
- Mathematical induction
- Löwenheim-Skolem Theorem

- Compactness theorem
- Gödel's Incompleteness Theorems

The awesome document-preparation system for typesetting math and other scientific goodness.

— By **Stefan Kottwitz**

A standalone, 300-page guide that teaches **introductory LaTeX** through short explanations and examples. It strikes a good balance between breadth and depth, and ensures that by the end of the book, the reader will be able to produce a professionally-typeset document on their own.

- Installing LaTeX distribution
- Formatting text
- Designing page layout

- Customizing lists
- Float environments
- Cross-reference

- Typesetting math
- Adjusting font
- Hyperlink

— By **George Grätzer**

A most up-to-date (ours aside of course), comprehensive LaTeX manual that goes into the nuts and bolts of **mathematical typesetting**. Two decades in the making, with some notable features being the amount of examples (e.g., code vs. its output) and the dos and don'ts.

- Symbols
- Preamble
- Font
- Spacing

- Page layout
- Math expressions
- Proclamation
- Proof

- Beamer
- Tikz
- Bibliography
- Index