Haneul Choi Math Books
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Seduced by Logic
Author: Robyn Arianrhod
language: en
Publisher: Oxford University Press
Release Date: 2012-11-22
Du Chatelet translated Newton's Principia into French (it is still the accepted translation), and Somerville (100 years later) translated LaPlace's Celestial mechanics into English, where her translation served as an advanced textbook for many years.
Calculus
Author: HANEUL. CHOI
language: en
Publisher: Independently Published
Release Date: 2025-03-17
Unlock the Secrets Behind the Mathematics that Changed the World Have you ever wondered how revolutionary ideas-from rockets launching to AI computations-truly work at their core? Dive deep into the world of mathematical magic with a comprehensive guide that demystifies the beautiful yet formidable world of calculus. Crafted with precision and clarity, this approachable textbook takes you step-by-step through the core concepts of limits, derivatives, integrals, infinite series, vector geometry, and beyond. Whether you're a student striving to master essential concepts, an academic seeking clarity, or a lifelong learner passionate about math's beauty and power, this expertly structured resource reveals how calculus evolves clearly and logically from the ground up, transforming complex ideas into manageable insights. Practical explanations, detailed examples, and carefully guided exercises bring each complex concept into sharp focus, helping you reach true mastery. It's time to broaden your intellectual horizons and empower your mathematical mind. Discover the timeless principles behind innovation's greatest achievements. Invest in your understanding-transform complexity into clarity today!
All of Statistics
Author: Larry Wasserman
language: en
Publisher: Springer Science & Business Media
Release Date: 2004-09-17
This book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The book is suitable for students and researchers in statistics, computer science, data mining and machine learning. This book covers a much wider range of topics than a typical introductory text on mathematical statistics. It includes modern topics like nonparametric curve estimation, bootstrapping and classification, topics that are usually relegated to follow-up courses. The reader is assumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. The text can be used at the advanced undergraduate and graduate level. Larry Wasserman is Professor of Statistics at Carnegie Mellon University. He is also a member of the Center for Automated Learning and Discovery in the School of Computer Science. His research areas include nonparametric inference, asymptotic theory, causality, and applications to astrophysics, bioinformatics, and genetics. He is the 1999 winner of the Committee of Presidents of Statistical Societies Presidents' Award and the 2002 winner of the Centre de recherches mathematiques de Montreal–Statistical Society of Canada Prize in Statistics. He is Associate Editor of The Journal of the American Statistical Association and The Annals of Statistics. He is a fellow of the American Statistical Association and of the Institute of Mathematical Statistics.