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Mathematical Techniques: An Introduction for the Engineering, Physical, and Mathematical Sciences (Jordan Dominic)(Paperback)
Mathematical Methods for Physics and Engineering, Third Edition is a highly acclaimed undergraduate textbook that teaches all the mathematics for an undergraduate course in any of the physical sciences. As well as lucid descriptions of all the topics and many worked examples, it contains over 800
An award-winning professor's introduction to essential concepts of calculus and mathematical modeling for students in the biosciences This is the first of a two-part series exploring essential concepts of calculus in the context of biological systems. Michael Frame covers essential ideas and
Statistics is the science that focuses on drawing conclusions from data, by modeling and analyzing the data using probabilistic models. In 'An Introduction to Mathematical Statistics' the authors describe key concepts from statistics and give a mathematical basis for important statistical methods
Widely praised for its clarity and thorough coverage, this comprehensive overview of mathematical logic is suitable for readers of many different backgrounds. Designed primarily for advanced undergraduates and graduate students of mathematics, the treatment also contains much of interest to
This is a highly accessible textbook on understanding statistics for the health sciences, both conceptually and via SPSS. The authors give clear explanations of the concepts underlying statistical analyzes and descriptions of how these analyzes are applied in health sciences research without
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques
Mechanical Engineering Science provides an introduction to the basic science and mechanics required by mechanical engineering students in their studies; it links in with and complements the authors' companion volume Applied
Beginning graduate students in mathematical sciences and related areas in physical and computer sciences and engineering are expected to be familiar with a daunting breadth of mathematics, but few have such a background. This bestselling book helps students fill in the gaps in their knowledge
The aim of this book is to impart a sound understanding, both physical and mathematical, of the fundamental theory of vibration and its applications. The book presents in a simple and systematic manner techniques that can easily be applied to the analysis of vibration of mechanical and structural
Playing with mathematical riddles can be an intriguing and fun-filled pastime -- as popular science writer Martin Gardner proves in this entertaining collection. Puzzlists need only an elementary knowledge of math and a will to resist looking up the answer before trying to solve a problem.Written
Mathematical Biology: An Introductory Course is a richly illustrated textbook in an exciting and fast growing field. Providing an in-depth look at the practical use of math modelling, it features exercises throughout that are drawn from a variety of bioscientific disciplines - population biology,
An introduction to the science of geophysics which deals with physical processes and physical properties of the Earth and its surrounding space
An introduction to writing proofs, presented through compelling mathematical statements with interesting elementary proofs. This book offers an introduction to the art and craft of proof-writing. The author, a leading research mathematician, presents a series of engaging and compelling mathematical
The third edition of this highly acclaimed undergraduate textbook is suitable for teaching all the mathematics for an undergraduate course in any of the physical sciences. As well as lucid descriptions of all the topics and many worked examples, it contains over 800 exercises. New stand-alone
Appropriate for undergraduate engineering and science courses in Environmental Engineering. Balanced coverage of all the major categories of environmental pollution, with coverage of current topics such as climate change and ozone depletion, risk assessment, indoor air quality,
This book presents the mathematical methods that students need when preparing for competitions, whether for the International Mathematical Olympiad (IMO) for high school students or the Putnam competition for undergraduate students. The book features six parts, each subdivided into several
This book provides a comprehensive introduction to the mathematical foundations of economics, from basic set theory to fixed point theorems and constrained optimization. Rather than simply offer a collection of problem-solving techniques, the book emphasizes the unifying mathematical principles
This is an engaging introduction to the study of language for undergraduate or beginning graduate students, aimed especially at those who would like to continue further linguistic study. It introduces students to analytical thinking about language, but goes beyond existing texts to show what it
Gear up to crush the GED Mathematical Test Does the thought of taking the GED Mathematical Reasoning Test make you weak? Fear not With the help of GED Mathematical Reasoning Test For Dummies, you'll get up to speed on the new structure and computer-based format of the GED and gain the confidence
1. Viscoplastic Fluids: Mathematical Modeling and Applications.- 2. An Introduction to the Homogenization Modeling of Non-Newtonian and Electrokinetic Flows in Porous Media.- 3. Old Problems Revisited From New Perspectives in Implicit Theories of Fluids.- 4. Hemorheology: Non-Newtonian Constitutive
An accessible and fascinating exploration of how Alan Turing's mathematical theory gave rise to modern computer science and applications--from the desktop to cell phones In 1936, when he was just twenty-four years old, Alan Turing wrote a remarkable paper in which he outlined the theory of
This textbook serves as an introduction to groups, rings, fields, vector and tensor spaces, algebras, topological spaces, differentiable manifolds and Lie groups --- mathematical structures which are foundational to modern theoretical physics. It is aimed primarily at undergraduate students in
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel