Comprehensive guide for IB Math SL Analysis & Approaches, combining print and enhanced online resources to master concepts, practice problems, and exam strategies for the Oxford IB Diploma Programme.
Learn to use Python for research in physics with this practical guide, covering best practices and tools for effective computation and data analysis in the field.
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.
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.