Mathematics Books
Suggestions for Mathematics Books
Logic textbook Calculus textbook Topology textbook Set theory textbook Statistics textbook Probability textbook Mathematical handbook Combinatorics textbook Real analysis textbook Linear algebra textbook Measure theory textbook Abstract algebra textbook Complex analysis textbook Algebraic geometry textbook Algebraic topology textbook Numerical analysis textbook Applied mathematics textbook Functional analysis textbook Operations research textbook Discrete mathematics textbook Mathematical methods textbook Differential geometry textbook Differential equations textbook Mathematical modelling textbook Partial differential equations textbook
Explore the theory of optimal transport through Villani’s clear exposition, blending geometric intuition with rigorous analysis and applications to economics, fluid dynamics, and machine learning.
A comprehensive guide that blends statistical theory with practical algorithms, covering Bayesian inference, neural networks, and support vector machines to master pattern recognition and machine learning.
A concise introduction to finite element analysis, this book guides readers through theory and practical implementation with clear explanations, step‑by‑step examples, and real‑world applications in engineering.
Learn medical statistics with confidence! This 5th edition textbook provides a comprehensive guide for health sciences students and professionals, covering key concepts and applications in an accessible way.
A practical guide to understanding measurements, errors, and uncertainties in various fields, helping you navigate data analysis with confidence.
Explore the fundamentals of probability with this clear, engaging guide. Ideal for students and self‑learners, it covers key concepts, real‑world examples, and practical problems to build strong analytical skills.
Explores classification of error‑correcting linear codes via isometry, blending algebraic theory with algorithmic techniques for practical coding applications.
A practical guide for industrial engineers, this handbook presents key equations, formulas, and calculation techniques for production planning, quality control, and supply‑chain optimization, streamlining on‑site decision making.
Explore categorical data analysis through clear theory, practical examples, and statistical software guidance, making complex concepts accessible for students and researchers alike.
A comprehensive guide that demystifies linear, logistic, survival and repeated measures models for biostatistics, blending theory with practical examples to empower researchers in biology and health.
Explore advanced concepts in algebraic geometry and arithmetic curves with Qing Liu’s comprehensive guide, blending rigorous theory, detailed proofs, and insightful examples to deepen understanding of modern mathematical research.
A concise yet thorough exploration of matrix theory, this book covers linear transformations, eigenvalue problems, and canonical forms while integrating modern topics such as tensor decompositions and optimization techniques.
Explore Markov chains through rigorous theory and practical examples, covering transition matrices, ergodicity, stationary distributions, coupling methods, and applications in stochastic processes and statistical physics.
Master college algebra with clarity and confidence: concise explanations, worked examples, practice problems, and key concepts—all in one compact guide to boost understanding and exam performance.
Discover how to solve complex engineering problems using MATLAB’s powerful optimization tools; this guide blends mathematical foundations with practical code examples, helping readers master real‑world applications efficiently.
Master the art of discerning truth in numbers with 'How to Lie with Statistics'—your guide to navigating and understanding misleading data practices
