Book picks similar to
First Course in Mathematical Logic by Patrick C. Suppes
mathematics
logic
non-fiction
mathematical-logic
Management Information Systems
James A. O'Brien - 1970
O'Brien defines technology and then explains how companies use the technology to improve performance. Real world cases finalise the explanation
The Art of Logic in an Illogical World
Eugenia Cheng - 2018
Cheng is a mathematician, so she knows how to make an airtight argument. But even for her, logic sometimes falls prey to emotion, which is why she still fears flying and eats more cookies than she should. If a mathematician can't be logical, what are we to do? In this book, Cheng reveals the inner workings and limitations of logic, and explains why alogic--for example, emotion--is vital to how we think and communicate. Cheng shows us how to use logic and alogic together to navigate a world awash in bigotry, mansplaining, and manipulative memes. Insightful, useful, and funny, this essential book is for anyone who wants to think more clearly.
Introducing Physical Geography
Arthur N. Strahler - 1970
Includes all new multimedia and pedagogy to bring physical geography to a new audience. The new fourth edition of Introducing Physical Geography, focuses on both content and pedagogy. The text also includes current examples of environmental phenomena, such as Hurricane Isabel and the recent earthquakes in Turkey. The readability of the text has been enhanced with new placements of boxed features and supplementary material.
An Introduction to Theories of Learning
Matthew H. Olson - 1982
Accessible for undergraduates yet thorough enough for graduate students, this comprehensive text defines learning and shows how the learning process is studied. The text places learning in its historical perspective, giving students an appreciation for the figures and theories that have shaped 100 years of learning theory research.
Concepts in Thermal Physics
Stephen J. Blundell - 2006
This book provides a modern introduction to the main principles that are foundational to thermal physics, thermodynamics and statistical mechanics. The key concepts are carefully presented in a clear way, and new ideas are illustrated with copious worked examples as well as a description of the historical background to their discovery. Applications are presented to subjects as diverse as stellar astrophysics, information and communication theory, condensed matter physics and climate change. Each chapter concludes with detailed exercises.
Probability and Statistics
Morris H. DeGroot - 1975
Other new features include a chapter on simulation, a section on Gibbs sampling, what you should know boxes at the end of each chapter, and remarks to highlight difficult concepts.
CRC Handbook of Chemistry and Physics
David R. Lide - 1984
This edition contains NEW tables on Properties of Ionic Liquids, Solubilities of Hydrocarbons in Sea Water, Solubility of Organic Compounds in Superheated Water, and Nutritive Value of Foods. It also updates many tables including Critical Constants, Heats of Vaporization, Aqueous Solubility of Organic Compounds, Vapor Pressure of Mercury, Scientific Abbreviations and Symbols, and Bond Dissociation Energies. The 88th Edition also presents a new Foreword written by Dr. Harold Kroto, a 1996 Nobel Laureate in Chemistry.
Numerical Linear Algebra
Lloyd N. Trefethen - 1997
The clarity and eloquence of the presentation make it popular with teachers and students alike. The text aims to expand the reader's view of the field and to present standard material in a novel way. All of the most important topics in the field are covered with a fresh perspective, including iterative methods for systems of equations and eigenvalue problems and the underlying principles of conditioning and stability. Presentation is in the form of 40 lectures, which each focus on one or two central ideas. The unity between topics is emphasized throughout, with no risk of getting lost in details and technicalities. The book breaks with tradition by beginning with the QR factorization - an important and fresh idea for students, and the thread that connects most of the algorithms of numerical linear algebra.