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Scientific Computing
This book differs from traditional numerical analysis texts in that it focuses on the motivation and ideas behind the algorithms presented rather than on detailed analyses of them. It presents a broad overview of methods and software for solving mathematical problems arising in computational modeling and data analysis, including proper problem formulation, selection of effective solution algorithms, and interpretation of results.? In the 20 years since its original publication, the modern, fundamental perspective of this book has aged well, and it continues to be used in the classroom. This Classics edition has been updated to include pointers to Python software and the Chebfun package, expansions on barycentric formulation for Lagrange polynomial interpretation and stochastic methods, and the availability of about 100 interactive educational modules that dynamically illustrate the concepts and algorithms in the book. Scientific Computing: An Introductory Survey, Second Edition is intended as both a textbook and a reference for computationally oriented disciplines that need to solve mathematical problems.
Applied Nonlinear Time Series Analysis: Applications In Physics, Physiology And Finance
Nonlinear time series methods have developed rapidly over a quarter of a century and have reached an advanced state of maturity during the last decade. Implementations of these methods for experimental data are now widely accepted and fairly routine; however, genuinely useful applications remain rare. This book focuses on the practice of applying these methods to solve real problems.To illustrate the usefulness of these methods, a wide variety of physical and physiological systems are considered. The technical tools utilized in this book fall into three distinct, but interconnected areas: quantitative measures of nonlinear dynamics, Monte-Carlo statistical hypothesis testing, and nonlinear modeling. Ten highly detailed applications serve as case studies of fruitful applications and illustrate the mathematical techniques described in the text.
Rescue
A young Chihuahua spends his puppy-mill days pacing the cage, searching for his mother. An aging Pembroke Welsh Corgi wallows at a rescue shelter, unlikely to be adopted. Cold, boredom, and neglect is all that a backyard-chained Pit Bull Terrier knows. An ex-con trudge daily to a warehouse job, believing that a felony conviction has ruined his future. All four are trying to make it in a world that is sometimes cruel and often unpredictable. When fate brings them together, they discover new hope for the days ahead.
Parallel Algorithms for Matrix Computations
Describes a selection of important parallel algorithms for matrix computations. Reviews the current status and provides an overall perspective of parallel algorithms for solving problems arising in the major areas of numerical linear algebra, including (1) direct solution of dense, structured, or sparse linear systems, (2) dense or structured least squares computations, (3) dense or structured eigenvaluen and singular value computations, and (4) rapid elliptic solvers. The book emphasizes computational primitives whose efficient execution on parallel and vector computers is essential to obtain high performance algorithms. Consists of two comprehensive survey papers on important parallel algorithms for solving problems arising in the major areas of numerical linear algebra--direct solution of linear systems, least squares computations, eigenvalue and singular value computations, and rapid elliptic solvers, plus an extensive up-to-date bibliography (2,000 items) on related research.
Upstream
Wall Street Journal Bestseller New York Times bestselling author Dan Heath explores how to prevent problems before they happen, drawing on insights from hundreds of interviews with unconventional problem solvers. So often in life, we get stuck in a cycle of response. We put out fires. We deal with emergencies. We stay downstream, handling one problem after another, but we never make our way upstream to fix the systems that caused the problems. Cops chase robbers, doctors treat patients with chronic illnesses, and call-center reps address customer complaints. But many crimes, chronic illnesses, and customer complaints are preventable. So why do our efforts skew so heavily toward reaction rath...
Square Peg, Round Hole
Mike lived in a lovely town, in a lovely house with parents who made him lovely sandwiches every day to take to his lovely job in his lovely car. In his late twenties he knew this wasn't right. What a saddo! He would sit in his sales show room dreaming about an exotic existence fraught with danger where people were scared of him. This last bit was of particular importance and he still doesn't know why. Finally he could take no more and did something about it. Mike takes you on a very unique journey of various experiences and how it taught him to man up to life in fulfilling his own personal dream goal of becoming a bad boy. A sort of riches to rags mentality in undoing his preciousness and adopting a better to be someone for a day than no one for a lifetime approach, achieving an inner contentment that so many of us are so afraid of reaching for.
Matrix Methods in Data Mining and Pattern Recognition
Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and provides students with a set of tools that can be modified for a particular application.Matrix Methods in Data Mining and Pattern Recognition is divided into three parts. Part I gives a short introduction to a few application areas before presenting linear algebra concepts and matrix decompositions that students can use in problem-solving environments such as MATLAB®. Some mathematical proofs tha...
An Introduction to Computational Physics
This advanced textbook provides an introduction to the basic methods of computational physics.
Garlic Bread for Eugene
Michael Heath brings us the heart-warming and uplifting story of Henry and Eugene, all wrapped up in the foil and memory of their late father. This book focuses on Henry's courageous decision on the last day of school to sacrifice his perfect attendance award to help younger brother, Eugene, make garlic bread, Dad's speciality, for the school picnic.
