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  • Modern Number Theory - Rowan Payne
    Modern Number Theory
    Rowan Payne
    Hardcover
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  • Introduction to Numerical Methods : Mathematical Techniques for Students in Engineering - Aniruddha Mitra
    Introduction to Numerical Methods
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    Aniruddha Mitra and Aditi Mitra
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  • Handbook Of Mathematical Concepts And Formulas For Students In Science And Engineering - Mohammad Asadzadeh
    Handbook Of Mathematical Concepts And Formulas For Students In Science And Engineering
    Mohammad Asadzadeh and Reimond Emanuelsson
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    Associative Algebraic Geometry
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    Advanced Mathematical Methods In Environmental And Resource Economics
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  • Tensor Algebra And Analysis For Engineers : With Applications To Differential Geometry Of Curves And Surfaces - Paolo Vannucci
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    Czeslaw Maczka, Sergii Skurativskyi and Vsevolod Vladimirov
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  • Everyday Chemicals : Understanding the Risks - Gerald LeBlanc
    Everyday Chemicals
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    Gerald LeBlanc
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    Everyday Chemicals
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  • Equations of Motion for Incompressible Viscous Fluids : With Mixed Boundary Conditions - Daomin Cao
    Equations of Motion for Incompressible Viscous Fluids
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    Machine Learning for Practical Decision Making
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    Christo El Morr, Walid EI-Hallak, Manar Jammal and Hossam Ali-Hassan
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  • Problems on Algorithms : A Comprehensive Exercise Book for Students in Software Engineering - Habib Izadkhah
    Problems on Algorithms
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    Habib Izadkhah
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    Data Governance and Data Management
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    Notes on Real Analysis and Measure Theory
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    Alexander Kharazishvili
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    Essential Precalculus
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    Alexey N. Karapetyants, Vladislav V. Kravchenko, Helmuth R. Malonek and Elijah Liflyand
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    Harmonic Analysis on the Real Line
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    Introduction to Nonlinear Control
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    Reinforcement Learning for Finance
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    Introduction to Transformers for Nlp
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    Shashank Mohan Jain
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    Finding Ghosts in Your Data
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    Transactions on Engineering Technologies
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    Alan Chan, Sio-Iong Ao, Oscar Castillo, Mahyar A. Amouzegar and Hideki Katagiri
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    Fourier Optics and Computational Imaging
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    Machine Learning and Data Analytics for Solving Business Problems
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    Bundit Laekhanukit and Parinya Chalermsook
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    Lecture Notes in Electrical Engineering
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    Springer Reliability Engineering
    Springer Series in Reliability Engineering
    Abhishek Tandon, Hoang Pham and Anu G. Aggarwal
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    Modeling, Dynamics, Optimization and Bioeconomics IV
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    Alberto Pinto and David Zilberman
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    Geometric Integrators for Differential Equations with Highly Oscillatory Solutions
    Bin Wang and Xinyuan Wu
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    Studies in Infrastructure and Control
    Proceedings of ICRTE 2021, Volume 1
    Anita Khosla and Monika Aggarwal
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    Statistical Foundations, Reasoning and Inference
    For Science and Data Science
    Christian Heumann, Helmut Kuchenhoff and Goran Kauermann
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    Multivariate, Multilinear and Mixed Linear Models
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    Augustyn Markiewicz, Katarzyna Filipiak and Dietrich von Rosen
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    Discovery Science
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    Lecture Notes in Networks and Systems
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    Lecture Notes in Operations Research
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    Introduction to System Reliability Theory
    Jorge Navarro
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    Cybersecurity Data Science
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    Research in Mathematics Education
    Research in Mathematics Education
    Roza Leikin
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    The Annotated G?del
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    Hal Prince
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    Algebra, Analysis, and Associated Topics
    Trends in Mathematics
    Alka Munjal, Sandeep Singh and Mehm i Sarigol
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    Research in Mathematics Education
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    Repatriation Management and Competency Transfer in a Culturally Dynamic World
    Firdous Ahmad Malik and Manmeet Bali Nag
    Hardcover
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  • International Operations Research & Management Science : Prognostic Data Analytics to Serve Small Scale Farmers Worldwide - Chandrasekar Vuppalapati
    International Operations Research & Management Science
    Prognostic Data Analytics to Serve Small Scale ...
    Chandrasekar Vuppalapati
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  • Stochastic Transport in Upper Ocean Dynamics : STUOD 2021 Workshop, London, UK, September 20-23 - Anna Radomska
    Stochastic Transport in Upper Ocean Dynamics
    STUOD 2021 Workshop, London, UK, September 20-23
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    Mathematical Foundations of Data Science
    Texts in Computer Science
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    Fast Track to Differential Equations
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    Algebra
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    N. Bourbaki and Reinie Erne
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    Maxwellâs Equations in Periodic Structures
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    Traffic Congestion Control by PDE Backstepping
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    Pro Deep Learning with Tensorflow 2.0
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    Machine Learning In Pure Mathematics And Theoretical Physics
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    Playful Math Singles
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    Denise Gaskins
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    Playful Math Singles
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    Advances in Science, Technology & Innovation
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    An Introduction to Stochastic Thermodynamics
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    ICAMCI-2020, Tripura, India, December 23â"24
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    p-adic Hodge Theory, Singular Varieties, and Non-Abelian Aspects
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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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