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  • Provability, Computability and Reflection - Lev D. Beklemishev
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  • Spectral Theory of Random Matrices - Vyacheslav L. Girko
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  • Introduction to Global Variational Geometry - Demeter Krupka
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  • Provability, Computability and Reflection - Lev D. Beklemishev
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  • Provability, Computability and Reflection - Lev D. Beklemishev
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  • Methods of matrix algebra - Pease
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  • Computational Methods for Modeling of Nonlinear Systems - Anatoli Torokhti
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  • Introduction to Lie groups and Lie algebras - UNKNOWN AUTHOR
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  • Statistical Methods, Students Solutions Manual (e-only) - Rudolf J. Freund
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  • Introduction to Statistical Limit Theory - Alan M. Polansky
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  • Stochastic Finance : A Numeraire Approach - Jan Vecer
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  • Software Development : An Open Source Approach - Allen Tucker
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  • Advanced Calculus : A Transition to Analysis, Instructor Solutions Manual (e-only) - Joseph B. Dence
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  • Random Phenomena : Fundamentals of Probability and Statistics for Engineers - Babatunde A. Ogunnaike
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    Babatunde A. Ogunnaike
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  • Provability, Computability and Reflection - Lev D. Beklemishev
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  • Stochastic Financial Models - Douglas Kennedy
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    Douglas Kennedy
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  • Portfolio Optimization - Michael J. Best
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    Michael J. Best
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  • Design and Analysis of Experiments with SAS - John Lawson
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  • Modelling and Quantitative Methods in Fisheries - Malcolm Haddon
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    Malcolm Haddon
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  • A Mathematical Look at Politics - Jr. Robinson
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    Jr. Robinson and Daniel H. Ullman
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  • An Introduction to Stochastic Processes with Applications to Biology - Linda J. S. Allen
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    Linda J. S. Allen
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  • Exercises and Solutions in Biostatistical Theory - Lawrence Kupper
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    Lawrence Kupper, Brian Neelon and Sean M. O'Brien
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  • Introduction to General and Generalized Linear Models - Henrik Madsen
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    Henrik Madsen and Poul Thyregod
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  • Computability Theory : An Introduction to Recursion Theory, Students Solutions Manual (e-only) - Herbert B. Enderton
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  • Spatial Statistics : GeoSpatial Information Modeling and Thematic Mapping - Mohammed A. Kalkhan
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    Mohammed A. Kalkhan
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  • Measured Tones : The Interplay of Physics and Music, Third Edition - Ian Johnston
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    Ian Johnston
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  • Introduction to Probability with R - Kenneth Baclawski
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    Kenneth Baclawski
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  • Logistic Regression Models - Joseph M. Hilbe
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  • Introduction to Statistical Physics - Kerson Huang
    Introduction to Statistical Physics
    Kerson Huang
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  • Transportation Statistics and Microsimulation - Clifford Spiegelman
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    Clifford Spiegelman, Eun Sug Park and Laurence R. Rilett
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  • Design of Experiments : An Introduction Based on Linear Models - Max Morris
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    Max Morris
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  • Signals and Systems Laboratory with MATLAB - Alex Palamides
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    Alex Palamides and Anastasia Veloni
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  • Heat Conduction Using Green's Functions - Kevin D. Cole
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    Kevin D. Cole, James V. Beck, A. Haji-Sheikh and Bahman Litkouhl
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  • Introduction to the Simulation of Dynamics Using Simulink - Michael A. Gray
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    Michael A. Gray
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  • Introduction to Machine Learning and Bioinformatics - Sushmita Mitra
    Introduction to Machine Learning and Bioinformatics
    Sushmita Mitra, Sujay Datta, Theodore Perkins and George Michailidis
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  • Bayesian Methods for Data Analysis - Bradley P. Carlin
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    Bradley P. Carlin and Thomas A. Louis
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  • Introduction to Probability and Statistics for Science, Engineering, and Finance - Walter A. Rosenkrantz
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    Walter A. Rosenkrantz
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  • Parallel Algorithms - Henri Casanova
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    Henri Casanova, Arnaud Legrand and Yves Robert
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  • A Primer on Linear Models - John F. Monahan
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  • Computational Statistics : An Introduction to R - GĂĽnther Sawitzki
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  • Algorithms in Bioinformatics : A Practical Introduction - Wing-Kin Sung
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  • An Introduction to Statistical Inference and Its Applications with R - Michael W. Trosset
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  • College Geometry : A Unified Development - David C. Kay
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  • Essentials of Physical Chemistry - Don Shillady
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  • Introduction to the Theory of Statistical Inference - Hannelore Liero
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  • Multivariable Calculus - James Stewart
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  • Calculus Concepts : An Informal Approach to the Mathematics of Change - Donald R. LaTorre
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  • Value-Added Decision Making for Managers - Kenneth Chelst
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  • Universal Algebra : Fundamentals and Selected Topics - Clifford Bergman
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  • Computer Methods for Engineering with MATLAB Applications - Yogesh Jaluria
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  • Practical Lean Accounting : A Proven System for Measuring and Managing the Lean Enterprise, Second Edition - Brian H. Maskell
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  • Behavioral Research and Analysis : An Introduction to Statistics within the Context of Experimental Design, Fourth Edition - Max Vercruyssen
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  • Introduction to Elementary Computational Modeling : Essential Concepts, Principles, and Problem Solving - Jose Garrido
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  • The Finite Element Method for Mechanics of Solids with ANSYS Applications - Ellis H. Dill
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  • Dynamics of Biological Systems - Michael Small
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  • Statistical Computing in C++ and R - Randall L. Eubank
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  • A Whistle-Stop Tour of Statistics - Brian Everitt
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  • R for Statistics - Pierre-Andre Cornillon
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  • Physical Oceanography : A Mathematical Introduction with MATLAB - Reza Malek-Madani
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  • Analysis of Queues : Methods and Applications - Natarajan Gautam
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  • Customer and Business Analytics : Applied Data Mining for Business Decision Making Using R - Daniel S. Putler
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Mathematics

Whether it’s assigned reading for education or a personal interest in maths, mathematics books cover everything from entry-level concepts to advanced niche areas. There’s a whole world of information to be found amongst them, and plenty of lessons to be learned even for expert-level mathematicians.

H2: Best-selling mathematics books
There are few names as well known in mathematics as Richard P. Feynman, which is perhaps why it’s no surprise that his book Six Easy Pieces is a best-seller. This title dives into the essentials of physics using material from Feynman’s series of lectures at the California Institute of Technology. It is an excellent introduction into the fundamentals of physics, complete with examples and illustrations.

Another best-seller is Fooled by Randomness. This book discusses the hidden role of chance in life and in the markets, and helps the reader to understand that certain things are often decided more by sheer luck (or lack thereof) rather than inherent skill. Author Nassim Nicholas Taleb is a Professor of Risk Engineering, and has turned down all the awards and honours offered to him as he doesn’t like the idea of knowledge sharing becoming competitive.

H2: Statistics books
Statistics books help us to understand the world around us through numbers.

Statistics Without Tears is a light-hearted approach to the subject, in which author Derek Rowntree introduces non-mathematicians to statistics. It assumes no expert knowledge to start with, and provides words and diagrams rather than figures and equations, making for a highly beginner-friendly read.

Mind on Statistics is designed for teachers, and has been created as a guide for educators to engage with students to motivate and inspire them to learn statistics. It highlights the importance of finding the meaning in data that impacts daily life to help learners connect with the subject in a very real way.

H2: Calculus books
Calculus is notoriously difficult, which is why there is a subsection of precalculus books. These books bridge the gap between standard high school maths and more advanced university and professional level books. There are a number of books in this subsection, such as Precalculus, which approaches the subject by teaching readers that they must understand the graphical, numerical, and algebraic basis of a problem in order to solve it.

More advanced calculus books can be found under the calculus and mathematical analysis book section. For example, Multidimensional Differential and Integral Calculus offers students an in-depth, practical take on the subject primarily oriented to applications.

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