Recommendations based on "Crackling Chemistry"

Renowned professor and author Gilbert Strang demonstrates that linear algebra is a fascinating subject by showing both its beauty and value. While the mathematics is there, the effort is not all concentrated on proofs. Strang's emphasis is on understanding. He explains concepts, rather than deduces. This book is written in an informal and personal style and teaches real mathematics. The gears change in Chapter 2 as students reach the introduction of vector spaces. Throughout the book, the theory is motivated and reinforced by genuine applications, allowing pure mathematicians to teach applied mathematics.

Thomas S. Kuhn's classic book is now available with a new index.

How can we objectively define categories of truth in scientific thinking? How can we reliably measure the results of research? In this ground-breaking text, Dienes undertakes a comprehensive historical analysis of the dominant schools of thought, key theories and influential thinkers that have progressed the foundational principles and characteristics that typify scientific research methodology today. This book delivers a masterfully simple, 'though not simplistic', introduction to the core arguments surrounding Popper, Kuhn and Lakatos, Fisher and Royall, Neyman and Pearson and Bayes. Subsequently, this book clarifies the prevalent misconceptions that surround such theoretical perspectives in psychology today, providing an especially accessible critique for student readers.This book launches an informative inquiry into the methods by which psychologists throughout history have arrived at the conclusions of research, equipping readers with the knowledge to accurately design and evaluate their own research and gain confidence in critiquing results in psychology research. Particular attention is given to understanding methods of measuring the falsifiability of statements, probabilities and the differing views on statistical inference. An illuminating book for any undergraduate psychology student taking courses in critical thinking, research methods, BPS's core area 'conceptual and historical issues' as well as those studying masters, phd's and experienced researchers.

For Advanced Undergraduate And Beginning Graduate Students In Atmospheric, Oceanic, And Climate Science, Atmosphere, Ocean And Climate Dynamics Is An Introductory Textbook On The Circulations Of The Atmosphere And Ocean And Their Interaction, With An Emphasis On Global Scales. It Will Give Students A Good Grasp Of What The Atmosphere And Oceans Look Like On The Large-scale And Why They Look That Way. The Role Of The Oceans In Climate And Paleoclimate Is Also Discussed. The Combination Of Observations, Theory And Accompanying Illustrative Laboratory Experiments Sets This Text Apart By Making It Accessible To Students With No Prior Training In Meteorology Or Oceanography. * Written At A Mathematical Level That Is Appealing For Undergraduates And Beginning Graduate Students * Provides A Useful Educational Tool Through A Combination Of Observations And Laboratory Demonstrations Which Can Be Viewed Over The Web * Contains Instructions On How To Reproduce The Simple But Informative Laboratory Experiments * Includes Copious Problems (with Sample Answers) To Help Students Learn The Material.

For advanced undergraduate and beginning graduate students in atmospheric, oceanic, and climate science, Atmosphere, Ocean and Climate Dynamics is an introductory textbook on the circulations of the atmosphere and ocean and their interaction, with an emphasis on global scales. It will give students a good grasp of what the atmosphere and oceans look like on the large-scale and why they look that way. The role of the oceans in climate and paleoclimate is also discussed. The combination of observations, theory and accompanying illustrative laboratory experiments sets this text apart by making it accessible to students with no prior training in meteorology or oceanography.* Written at a mathematical level that is appealing for undergraduates andbeginning graduate students* Provides a useful educational tool through a combination of observations andlaboratory demonstrations which can be viewed over the web* Contains instructions on how to reproduce the simple but informativelaboratory experiments* Includes copious problems (with sample answers) to help students learn thematerial.

How do you design a research project? What is the difference in method between qualitative and quantitative research? How should psychologists go about considering the ethics of research methodology? For the 'students who ask questions', this concise text provides an informative introduction to the methods of psychological research, offering an overview of the primary stages in research. From learning how to construct the initial aims and criterion of a study to presenting the final resulting data into tables and graphs, this book aims to guide psychologists through the tools that make psychological research and the understanding of its resulting data possible. Written with enthusiasm and lucidity, Walker guides readers through the appropriate methods for undertaking research, explaining the discerning features of the core types of research, the primary measurements of statistics such as the chi-squared, t and Mann-Whitney U tests and brings an apt consideration of what makes a psychological study ethical. Whether desiring to learn about how to empirically record and measure the psychological experience of an individual or the behavioural factors of an entire population, Research Methods and Statistics is the introductory short-text for learning how to undertake successful research.This title stands as part of the Insights series edited by Nigel Holt and Rob Lewis, containing versatile, quick guides to the cornerstone theories, main topics and theoretical perspectives of their subjects and are useful for pre-undergraduate students looking to find incisive introductions to subjects that they may be considering for undergraduate study or those looking for helpful preparatory reading for undergraduate modules in the prospective subject. Also useful for undergraduate psychology-students who feel that they could benefit from some background reading in this often less-understood area of psychology.

Crystallography Made Crystal Clear makes crystallography accessible to readers who have no prior knowledge of the field or its mathematical basis. This is the most comprehensive and concise reference for beginning Macromolecular crystallographers, written by a leading expert in the field. Rhodes' uses visual and geometric models to help readers understand the mathematics that form the basis of x-ray crystallography. He has invested a great deal of time and effort on World Wide Web tools for users of models, including beginning-level tutorials in molecular modeling on personal computers. Rhodes' personal CMCC Home Page also provides access to tools and links to resources discussed in the text. Most significantly, the final chapter introduces the reader to macromolecular modeling on personal computers-featuring SwissPdbViewer, a free, powerful modeling program now available for PC, Power Macintosh, and Unix computers. This updated and expanded new edition uses attractive four-color art, web tool access for further study, and concise language to explain the basis of X-ray crystallography, increasingly vital in today's research labs. Helps readers to understand where models come from, so they don't use them blindly andinappropriately Provides many visual and geometric models for understanding a largely mathematical method Allows readers to judge whether recently published models are of sufficiently high quality and detail to be useful in their own work Allows readers to study macromolecular structure independently and in an open-ended fashion on their own computers, without being limited to textbook or journals illustrations Provides access to web tools in a format that will not go out of date. Links will be updated and added as existing resources change location or are added

This book provides an introductory-level exploration of geophysical fluid dynamics (GFD), the principles governing air and water flows on large terrestrial scales. Physical principles are illustrated with the aid of the simplest existing models, and the computer methods are shown in juxtaposition with the equations to which they apply. It explores contemporary topics of climate dynamics and equatorial dynamics, including the Greenhouse Effect, global warming, and the El Nino Southern Oscillation.Combines both physical and numerical aspects of geophysical fluid dynamics into a single affordable volumeExplores contemporary topics such as the Greenhouse Effect, global warming and the El Nino Southern OscillationBiographical and historical notes at the ends of chapters trace the intellectual development of the fieldRecipient of the 2010 Wernaers Prize, awarded each year by the National Fund for Scientific Research of Belgium (FNR-FNRS).

A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.Most tasks require a person or an automated system to reason—to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality. Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

According to Webster's Dictionary, a fascicle is "one of the division of a bookpublished in parts."This material represents significant updates to Volume 1, Third Edition ofDonald Knuth's The Art of Computer Programming.Knuth's fascicle philosophy is as follows: "The material will first appear in betatestform as fascicles of approximately 128 pages each, issued approximatelytwice per year. These fascicles will represent my best attempt to write acomprehensive account, but computer science has grown to the point where Icannot hope to be an authority on all the material covered in these books.Therefore I'll need feedback from readers in order to prepare the officialvolumes later."