Recommended Books in the Mathematical Sciences

Views expressed here and the recommendations here, are those of J. M. Cargal and do not reflect the views of any organizations or journals to which he is associated.  (Other views are incorrect.)  This site does not take money from publishers, authors, or their agents.  It is funded entirely by J. M. Cargal

Write to jmcargal@sprintmail.com or James M. Cargal, PO Box 210667, Montgomery AL 36121-0667.

This is the most recent photograph of James M. Cargal (used with permission).

Edition 1.49  January 26, 2009:   One book on General Advanced Mathematics.  One book on General Applied Mathematics.  Three books added to Combinatorics two on  Fibonacci numbers (the other is very strong on Fibonacci numbers as well).  One book on evolution.

Edition 1.48 October 29, 2008:  Additions include one book in Real Analysis, one book on General Relativity, one book on Dynamical Systems and three books on Combinatorics. 
Edition 1.47 May 5, 2008:  Additions include two books on real analysis, two books on thermodynamics, one on linear algebra, one on logic (Gődel) one on geometry.  May 22:  A book added on Maxwell's equations to section on electromagnetism.
Edition 1.46  November 12, 2007:  Additions to Abstract Algebra, Linear Algebra, Topology, Vector Calculus, Real Analysis, Geometry, Logic (Gӧdel), Evolution, Mechanics.
Edition 1.45 (May 28, 2007):  Additions and changes to Calculus.  Additions to Combinatorial Mathematics, and Complex Analysis. 

Edition 1.4  (Jan 19, 2006):  Due to the efforts of Bob Hofacker I have added ISBN numbers to most books here.  However, these are here only as an aid.  It is easy to switch them around or have the wrong edition.  Also added here are two books on Abstract Algebra and one on Logic.

Edition 1.31 (June 7, 2003):  Cargal's lecture on The EOQ Formula for manufacturing (added to section on Inventory).    

Additions in 1.3 (Jan 22, 2003) :  Two books in Number Theory.  Also a new section: Lectures on algorithms, number theory, probability and other stuff.

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Principles_of_Learning_a_Mathematical_Discipline

Principles of Learning Calculus

Calculus Pedagogy

Principles of Teaching and Learning Mathematics

Study it Twice

Ask Questions

Two Books for Undergraduates in the Mathematical Sciences

Pre-Calculus Algebra

Trigonometry

Calculus

Linear Algebra

Multivariable Calculus

Differential Equations (ODE's and PDE's) 

Difference Equations

Dynamical Systems and Chaos

Real Analysis

Infinitesimal Calculus (modern theory of infinitesimals)

Complex Analysis

Vector Calculus, Tensors, Differential Forms

General Applied Math

General Mathematics

General Advanced Mathematics

General Computer Science

Combinatorics (including Graph Theory)

Numerical Analysis

Fourier Analysis

Number Theory

Abstract Algebra

Geometry

Topology

Set Theory

Logic and Abstract Automata

Foundations

Algorithms

Coding and Information Theory

Probability

Fuzzy Stuff (logic and set theory)

Statistics

Operations Research (and linear, non-linear, integer programming, and simulation)

Game Theory

Stochastic Processes (and Queueing)

Inventory Theory and Scheduling

Investment Theory

General Physics

Mechanics

Fluid Mechanics

Thermodynamics and Statistical Mechanics

Electricity and Electromagnetism

Quantum Mechanics

Relativity

Waves

Evolution

Philosophy

Science Studies

Lectures on algorithms, number theory, probability and other stuff

Related Sites for Mathematical Resources 


Principles of Learning a Mathematical Discipline

If you have not had the prerequisites in the last two years, retake a prerequisite. The belief that it will come back quickly has scuttled thousands of careers.

  • Study every day – if you study less than three days a week, you are wasting your time completely.
  • Break up your study: do problems, rest and let it sink in, do problems; work in a comfortable environment.
  • Never miss lecture.
  • Remember, even if you are able to survive by cramming for exams, the math you learn will only go into short term memory. Eventually, you will reach a level where you can no longer survive by cramming, and your study habits will kill you.
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    Principles of Learning Calculus

    Calculus Pedagogy

    Principles of Teaching and Learning Mathematics

    Study it Twice!

     

    Ask Questions!

    Serious students ask questions.  Half or more of all questions are stupid.  Good students are willing to ask stupid questions.  Generally, willingness to ask stupid questions is a sign of intelligence.

     

    Two Books for Undergraduates in the Mathematical Sciences

    Pre-Calculus Algebra

    Trigonometry

    Calculus 

             First, see Principle of Learning Calculus

              Regular Calculus Texts

    Linear Algebra

    Multivariable Calculus

    Differential Equations

      The Laplace Transform

      Partial Differential Equations

    Difference Equations

    Dynamical Systems and Chaos

  • Three elementary books follow. The second and third seem to be particularly suited as texts at the sophomore-junior level. They emphasize linear algebra whereas Acheson is more differential equations and physics.

    Real Analysis

    Infinitesimal Calculus (modern theory of infinitesimals)

    Complex Analysis

    The following book is a primer on complex numbers that ends with a short introduction to Complex Analysis.  It is a perfect book for the sophomore in math or engineering.  Great book:

    Vector Calculus, Tensors, Differential Forms

    General Applied Math

     

     

    General Mathematics

    General Advanced Mathematics

    General Computer Science

     

    Combinatorics (Including Graph Theory)

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    Numerical Analysis

  • A quicker treatment than even that is in the first three pages of Smullyan's book on Gödel above. This is the book to have.
  • The following is a good introduction to Godel's incompleteness theorem as well as providing a very useful discussion of its abuses:
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  • Foundations

    Algorithms

    Coding and Information Theory

    The second edition will include recommendations on books on Digital Filters and Signal Analysis

    Probability

    Fuzzy Stuff (logic and set theory)

    Statistics

    Operations Research (and linear, non-linear, integer programming, and simulation)

    A future edition will cover both decision theory and games of the J H. Conway variety.
     

    Game Theory

    Stochastic (Markov) Decision Processeswill be covered in a future edition.

    Stochastic Processes (and Queueing)

    Inventory Theory and Scheduling

    Investment Theory

    This is a new area for me.  There are a lot of books giving contradictory advice or useless advice.  Investment theory is inherently mathematical, but there is a mathematical offshoot known as "technical analysis."  I have dealt with it for more than twenty years myself, and I consider it generally nonsense.  Some of it is as bad as astrology.  The better (technical analysis) stuff is basically a dead end, or perhaps I should say deadly end.  The book by Malkiel addresses it well.  

     

    General Physics

     Mechanics

    Fluid Mechanics

    Thermodynamics and Statistical Mechanics

    Electricity and Electromagnetism

    Quantum Mechanics

    Relativity

    Waves

    Evolution

     

    Philosophy

               See also Foundations (where two of the books have the word Philosophy in their titles).

     

    Science Studies

     

    Lectures on algorithms, number theory, probability and other stuff

    Another Site

       



    Abbreviations

    MAA: Mathematical Association of America

    S-V:  Springer-Verlag

    A-W: Addison-Wesley

    AWL: Addison Wesley Longman

    HBJ:  Harcourt Brace Jovanovich.

    AP:  Academic Press

    PH: Prentice Hall.

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