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 |  |  Digital Principles and Logic Design (Engineering)With the advancement of technology, digital logic systems became inevitable and became the integral part of digital circuit design. Digital logic is concerned with the interconnection of digital components and modules, and is a term used to denote the design and analysis of digital systems. Recent technology advancements have led to enhanced usage... |  |  All the Mathematics You Missed But Need to Know for Graduate School"Point set topology, complex analysis, differential forms, the curvature of surfaces, the axiom of choice, Lebesgue integration, Fourier analysis, algorithms, and differential equations.... I found these sections to be the high points of the book. They were a sound introduction to material that some but not all graduate students will... |
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 Financial Products: An Introduction using Mathematics and ExcelFinancial Products provides a step-by-step guide to some of the most important ideas in financial mathematics. It describes and explains interest rates, discounting, arbitrage, risk neutral probabilities, forward contracts, futures, bonds, FRA and swaps. It shows how to construct both elementary and complex (Libor) zero curves. Options are... |  |  Introduction to the Mathematics of Medical Imaging, Second EditionAt the heart of every medical imaging technology is a sophisticated mathematical model of the measurement process and an algorithm to reconstruct an image from the measured data. This book provides a firm foundation in the mathematical tools used to model the measurements and derive the reconstruction algorithms used in most imaging modalities in... |  |  Matrix Algorithms, Volume IThis book, Basic Decompositions, is the first volume in a projected five-volume series entitled Matrix Algorithms. The other four volumes will treat eigensystems, iterative methods for linear systems, sparse direct methods, and special topics, including fast algorithms for structured matrices.
My intended audience is the nonspecialist... |
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 Matrix Algorithms, Volume II: EigensystemsThis book, Eigensystems, is the second volume in a projected five-volume series entitled Matrix Algorithms. The first volume treated basic decompositions. The three following this volume will treat iterative methods for linear systems, sparse direct methods, and special topics, including fast algorithms for structured matrices.
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