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Mathematics
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by Maia Martcheva (Author)Introduction.- Introduction to Epidemic Modeling.- The SIR Model with Demography: General Properties of Planar Systems.- Vector-Borne Diseases.- Techniques for Computing R0.- Fitting Models to Data.- Analysis of Complex ODE Epidemic Models: Global Stability.- Multi-strain Disease Dynamics.- Control Strategies.- Ecological Context of Epidemiology.- Zoonotic Disease, Avian Influenza and Non-autonomous Models.- Age-structured Epidemic Models.- Class-age Structured Epide...
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by Steven Kay (Author)Featuring MATLAB examples to provide motivation for the theory to come, this introductory text incorporates MATLAB code to allow students to understand how the theory is applied in practice. Numerous computer exercises familiarize the student with MATLAB and how it is used to solve real problems. "Real-world" problems from various disciplines are emphasized in each chapter to illlustrate the application of the concepts. Beginning with discrete random variables, readers t...
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by Maia Martcheva (Author)Introduction.- Introduction to Epidemic Modeling.- The SIR Model with Demography: General Properties of Planar Systems.- Vector-Borne Diseases.- Techniques for Computing R0.- Fitting Models to Data.- Analysis of Complex ODE Epidemic Models: Global Stability.- Multi-strain Disease Dynamics.- Control Strategies.- Ecological Context of Epidemiology.- Zoonotic Disease, Avian Influenza and Non-autonomous Models.- Age-structured Epidemic Models.- Class-age Structured Epide...
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by Jose Santos Valdez y. Cristina Perez (Illustrator), Jose Santos Valdez y. Cristina Perez (Calligrapher)It is a different book to others because it contains learning methods of integral calculus and proves to be useful for students and teachers of High Schools, Colleges Bachelors, Universities and Technological Institutions.
Number of Pages: 218
Dimensions: 0.46 x 11 x 8.25 IN
Illustrated: Yes
Publication Date: July 09, 2014
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by Christian Reidys (Author)In this monograph, new combinatorial and computational approaches in the study of RNA structures are presented which enhance both mathematics and computational biology. It begins with an introductory chapter, which motivates and sets the background of this research. In the following chapter, all the concepts are systematically developed. The reader will find * integration of more than forty research papers covering topics like, RSK-algorithm, reflection principle, ...
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by Bill Goodwine (Author)Preface.- Prerequisites.- Course Structure.- Introduction and Preliminaries.- Ordinary First Order Equations.- Ordinary Second Order Linear Constant Coefficient Equations.- Single Degree fo Freedom Vibrations.- Ordinary Second Order Linear Variable Coefficient Equations.- Systems of Ordinary First Order Linear Constant Coefficient Equations.- Applications of Systems of First Order Equations.- The Laplace Transform.- Basic Control Theory: Analysis.- Basic Filter Theory...
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by Michael Th Rassias (Author)The book provides a self-contained introduction to classical Number Theory. All the proofs of the individual theorems and the solutions of the exercises are being presented step by step. Some historical remarks are also presented. The book will be directed to advanced undergraduate, beginning graduate students as well as to students who prepare for mathematical competitions (ex. Mathematical Olympiads and Putnam Mathematical competition).Back JacketThis book is d...
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by David Betounes (Author)A comprehensive introduction to the theory of ordinary differential equations with a focus on mechanics and dynamical systems as important applications of the theory.Back JacketThe book provides a comprehensive introduction to the theory of ordinary differential equations at the graduate level and includes applications to Newtonian and Hamiltonian mechanics. It not only has a large number of examples and computer graphics, but also has a complete collection of proofs...
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by Ming Li (Author), Paul M. B. Vitányi (Author)Written by two experts in the field, this is the only comprehensive and unified treatment of the central ideas and applications of Kolmogorov complexity. The book presents a thorough treatment of the subject with a wide range of illustrative applications. Such applications include the randomness of finite objects or infinite sequences, Martin-Loef tests for randomness, information theory, computational learning theory, the complexity of algorith...
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by Steven Roman (Author)The Mathematics of Finance has been a hot topic ever since the discovery of the Black-Scholes option pricing formulas in 1973. Unfortunately, there are very few undergraduate textbooks in this area. This book is specifically written for advanced undergraduate or beginning graduate students in mathematics, finance or economics. This book concentrates on discrete derivative pricing models, culminating in a careful and complete derivation of the Black-Scholes option prici...
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by Michel Willem (Author)Preface.- The Integral.- Norm.- Lebesgue Spaces.- Duality.- Sobolev Spaces.- Capacity.- Elliptic Problems.- Appendix.- Epilogue.- References.- Index of Notations.- Index.Back JacketThe goal of this work is to present the principles of functional analysis in a clear and concise way. The first three chapters of Functional Analysis: Fundamentals and Applications describe the general notions of distance, integral and norm, as well as their relations. The three chapters t...
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by Krishnaswami Alladi (Editor), Peter Paule (Editor), James Sellers (Editor)George Andrews is one of the most influential figures in number theory and combinatorics. In the theory of partitions and q-hypergeometric series and in the study of Ramanujan's work, he is the unquestioned leader. To suitably honor him during his 70th birthday year, an International Conference on Combinatory Analysis was held at The Pennsylvania State University during December 5-7, 2008. Three issues of the Ramanuj...
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by Qi-Ming He (Author)Fundamentals of Matrix-Analytic Methods targets advanced-level students in mathematics, engineering and computer science. It focuses on the fundamental parts of Matrix-Analytic Methods, Phase-Type Distributions, Markovian arrival processes and Structured Markov chains and matrix geometric solutions. New materials and techniques are presented for the first time in research and engineering design. This book emphasizes stochastic modeling by offering probabilistic interpret...
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by Terri Pigott (Author)The book describes multivariate analyses for several indices commonly used in meta-analysis (e.g., correlations, effect sizes, proportions and/or odds ratios), outlines how to do power analysis for meta-analysis (again for each of the different kinds of study outcome indices), and examines issues around research quality and research design and their roles in synthesis. Back JacketMeta-analysis is used increasingly in the social sciences to synthesize research results. ...
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by Andries E. Brouwer (Author), Willem H. Haemers (Author)This book gives an elementary treatment of the basic material about graph spectra, both for ordinary, and Laplace and Seidel spectra. The text progresses systematically, by covering standard topics before presenting some new material on trees, strongly regular graphs, two-graphs, association schemes, p-ranks of configurations and similar topics. Exercises at the end of each chapter provide practice and vary from easy yet interesting ap...
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by Glenn Ellison (Author)Hard Math for Elementary School is new category of math book. The author calls it a math enrichment textbook. The idea is to make it easy for teachers or parents to supplement what kids are getting in school with with complementary lessons that are harder, deeper, and more fun.Hard Math has chapters to accompany most textbook topics: addition with carrying, multiplication, fractions, etc. It covers other important topics - prime numbers, counting, probability - that a...
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by Mark H. Holmes (Author)This introductory graduate text is based on a graduate course the author has taught repeatedly over the last ten years to students in applied mathematics, engineering sciences, and physics. Each chapter begins with an introductory development involving ordinary differential equations, and goes on to cover such traditional topics as boundary layers and multiple scales. However, it also contains material arising from current research interest, including homogenisation,...
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by Andrzej Galecki (Author), Tomasz Burzykowski (Author)Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, public health, psychometrics, educational measurement, and sociology. This book aims to support a wide range of uses for the models by applied researchers in those and other fields by providing state-of-the-art descriptions of the implementat...
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by Ravi P. Agarwal (Author), Kanishka Perera (Author), Sandra Pinelas (Author)This textbook introduces the subject of complex analysis to advanced undergraduate and graduate students in a clear and concise manner. Key features of this textbook: effectively organizes the subject into easily manageable sections in the form of 50 class-tested lectures, uses detailed examples to drive the presentation, includes numerous exercise sets that encourage pursuing extensions of the material, each with a...
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by Allan Gut (Author)Preface to the First Edition.- Preface to the Second Edition.- Outline of Contents.- Notation and Symbols.- Introductory Measure Theory.- Random Variables.- Inequalities.- Characteristic Functions.- Convergence.- The Law of Large Numbers.- The Central Limit Theorem.- The Law of the Iterated Logarithm.- Limited Theorems.- Martingales.- Some Useful Mathematics.- References.- Index.Back JacketLike its predecessor, this book starts from the premise that, rather than being a...
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by Louis Komzsik (Author)Have you ever wondered about our strong preference for the number twelve in our lives? Why are we measuring time in twelve hours and many other things in units of twelve? How about the many occurrences of geometric manifestations of twelve in nature? Is our geometry describing nature, or is nature imitating our geometry? If you have an enquiring mind and seek a better understanding of the peculiar roles of certain numbers in our universe, if you are intrigued by the p...
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by Dr Kathleen Fletcher-Bacer (Author)A Chinese proverb reads: "I hear and I forget. I see and I remember. I do and I understand." In Hands-On Math, author Dr. Kathleen Fletcher-Bacer applies the basis of this proverb to help students understand abstract mathematical concepts. Known for her innovative and creative teaching techniques, Fletcher-Bacer shows how the use of manipulatives in the classroom is key to helping children learn the fundamentals of math. In Hands-On Math, she provides tea...
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by Felix N. Bongjoh (Author)The book is about the form in which rules are best presented to learners for effective retention and transfer to novel situations of problem solving in a mathematical context. In a study conducted for the purpose, mnemonic verbalizations (rules presented in a "shorthand" memory-facilitating form), as opposed to formal statements of rules were used with young learners for the retention and transfer of rules. The study concluded that the facilitative forms in which r...
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by José Santos Valdez (Author), Cristina Pérez (Author)Es un libro diferente a otros, ya que contiene m todos de aprendizaje del c lculo integral y resulta ser de utilidad para estudiantes y maestros de Universidades e Institutos Tecnol gicos incluso alumnos del nivel bachillerato.Author BiographyJosé Santos Valdez Pérez Se graduó como Ingeniero Industrial en el Instituto Tecnológico de Morelia; Diplomado en Habilidades Docentes en el Instituto Tecnológico de Estudios Superiores de Monterrey ...
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by Mohamed F. El-Hewie (Author)This book comprises a course in differential equations, which students of engineering, physics, and mathematics complete as a requirement of bachelor in science degree. The reader must possess basic skills in calculus, since all elementary differentiations and integrations in this book assume that the student could visually spot the derivation from previous years in high school or college. The book is organized in the logical fashion as presented to college stud...
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by Textbook Equity (Editor), Jim Hefferon (Author)This book helps students to master the material of a standard US undergraduate first course in Linear Algebra. The material is standard in that the subjects covered are Gaussian reduction, vector spaces, linear maps, determinants, and eigenvalues and eigenvectors. Another standard is book's audience: sophomores or juniors, usually with a background of at least one semester of calculus. The help that it gives to students comes from taking a dev...
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by Textbook Equity (Textbookequity Com) (Editor), Jim Hefferon (Author)These are answers to the exercises in "Linear Algebra" by J Hefferon. Published, with no alternations from the original, under a Creative Commons (CC-BY-SA) license by Textbook Equity (textbookequity.com)
Number of Pages: 266
Dimensions: 0.56 x 11 x 8.5 IN
Publication Date: October 12, 2012
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by Shayne F. D. Waldron (Author)First book entirely devoted to finite frames Replete with exercises, illustrations, and MATLAB examples Well suited as a textbook for a graduate course or seminar on finite frames Real-world applications to signal processing, quantum information theory, multivariate orthogonal polynomials, and remote sensing For a broad readership in pure and applied mathematics, engineering, mathematical physics, and signal processing Back JacketThis textbook is an introducti...
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by Max Kuhn (Author), Kjell Johnson (Author)Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-...
