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19 results for "Vector Analysis"
The Gradient A Composite Derivative Vector Function By Stephen John Shroyer
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With the use of Derive 6, the text provides an analysis and graphing of the Gradient and Directional Derivative.
ECG Cardiac Rhythms - Practical Interpretation with QRS Vectors By Dr. Jorge Uzquiano
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The author suggests the addition of 3 extra electrodes to the Modern 12 Lead ECG Machine – resulting in the 15 Lead ECG Machine – to visualize cardiac vectors with a tridimensional view... More > (3D ECG View). With research gathered on cardiac vectors with this new technology, the author presents this book to provide a new generation of medical professionals with a reference on Surface ECGs. This book builds on the author’s conviction that cardiac vector analysis is the only path to a simple and proper ECG and cardiac rhythms and interpretation. Narrow vectors are of Purkinje’s Supraventricular origin; Wide onset Complexes are Ventricular Beats. Non ST, Subendocardial Infarcts are Posterior Infactrs. Incomplete Bundle Branch Blocks are actually delayed normal ventricular vectors. Vector Axis Deviations are indicative of Hemiblocks, Idio-Fascicular Rhythms.< Less
Mathematical Analysis By Textbook Equity
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A textbook for advanced undergraduates and graduate students. Chapter 1. Set Theory Chapter 2. Real Numbers. Fields Chapter 3. Vector Spaces. Metric Spaces Chapter 4. Function Limits and... More > Continuity Chapter 5. Differentiation and Antidifferentiation All Chapters contain problem sets. This text is an outgrowth of lectures given at the University of Windsor, Canada. One of our main objectives is updating the undergraduate analysis as a rigorous postcalculus course. While such excellent books as Dieudonn´e’s Foundations of Modern Analysis are addressed mainly to graduate students, we try to simplify the modern Bourbaki approach to make it accessible to sufficiently advanced undergraduates. On the other hand, we endeavor not to lose contact with classical texts.< Less
(B&W) ECG Cardiac Rhythms - Practical Interpretation with QRS Vectors By Dr. Jorge Uzquiano
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The author suggests the addition of 3 extra electrodes to the Modern 12 Lead ECG Machine – resulting in the 15 Lead ECG Machine – to visualize cardiac vectors with a tridimensional view... More > (3D ECG View). With research gathered on cardiac vectors with this new technology, the author presents this book to provide a new generation of medical professionals with a reference on Surface ECGs. This book builds on the author’s conviction that cardiac vector analysis is the only path to a simple and proper ECG and cardiac rhythms and interpretation. Narrow vectors are of Purkinje’s Supraventricular origin; Wide onset Complexes are Ventricular Beats. Non ST, Subendocardial Infarcts are Posterior Infactrs. Incomplete Bundle Branch Blocks are actually delayed normal ventricular vectors. Vector Axis Deviations are indicative of Hemiblocks, Idio-Fascicular Rhythms.< Less
Machine-Learning based sequence analysis, bioinformatics & nanopore transduction detection By Stephen Winters-Hilt
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This is intended to be a simple and accessible book on machine learning methods and their application in computational genomics and nanopore transduction detection. This book has arisen from eight... More > years of teaching one-semester courses on various machine-learning, cheminformatics, and bioinformatics topics. The book begins with a description of ad hoc signal acquisition methods and how to orient on signal processing problems with the standard tools from information theory and signal analysis. A general stochastic sequential analysis (SSA) signal processing architecture is then described that implements Hidden Markov Model (HMM) methods. Methods are then shown for classification and clustering using generalized Support Vector Machines, for use with the SSA Protocol, or independent of that approach. Optimization metaheuristics are used for tuning over algorithmic parameters throughout. Hardware implementations and short code examples of the various methods are also described.< Less
Profit Signals: Evidence Based Decisions Power Six Sigma By Daniel Sloan, Russell Boyles
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This book turbo charges Six Sigma and Lean Six Sigma. Includes breakthrough case studies and the fast track method for using Six Sigma tools every day. Includes the complete Six Sigma Body of... More > Knowledge, bibilography, and 132 illustrations.< Less
GRASS 6.0 in a Nutshell By Markus Neteler
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GRASS (the Geographic Resources Analysis Support System, http://grass.itc.it) is a free and open source GIS (Geographic Information System) software package, integrated with image processing and data... More > visualization subsystems.< Less
Matrix Magic By Olatunde Adeyemo
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The use of choice examples to show the practical application of matrix algebra and related mathematical tools in specific problems, it serves also as an introduction to linear programming, fluid... More > mechanics, vector analysis and rf cicuit design.The full workings and code are made available for the use and adaptation of the reader. Here we walk through examples of using linear algebra and matrices to solve problems like cost estimation, we show how similar techniques are used in electrical theory and circuit design. We show how ballistics can predict the range of a football and the time of travel of a bullet. We see how we can generate 3d transforms of rotation and reflection of objects about general axes and mirrors. We look at the problem of signal rejection in transmission lines and give worked solutions.< Less
MAXIMA: Science and Engineering Applications By Gilberto Urroz
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Maxima (maxima.sourceforge.net) is a free, symbolic software with a variety of mathematical applications useful for calculations in science and engineering. This book presents a number of Maxima... More > applications including: An introduction to Maxima and to the use of the wxMaxima GUI; Applications of operations with real numbers and functions in Maxima ; Use of expressions, complex numbers, polynomials, and fractions; Basic plotting commands; Solution to algebraic and non-algebraic equations; Calculus applications: derivatives, integrals, series, multi-variate calculus, etc.; Basic matrix and linear algebra functions; Vector arithmetic, vector algebra, and vector analysis in Maxima; Solution to ordinary differential equations using Maxima; and, Probability distributions in Maxima. The book consists of 10 chapters, plus two preliminary chapters, that introduce the mathematical capabilities of Maxima in a clear and concise way through the use of a variety of examples. (438 pages)< Less
Quantitative Methods for Data Science: I - Introductory Applied Mathematics By James Godfrey
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This reference book is intended for data scientists and presents introductory applied mathematics appropriate for understanding methodologies used in a variety of disciplines: statistics, engineering... More > and the natural sciences, advanced computing, economics and finance, social media, advertising, climate analysis, healthcare and genetics, and other data-intensive areas. The presentation includes vector and matrix algebra, differential and integral calculus, complex variables, vector calculus, transforms, and ordinary and partial differential equations. The primary objective is to develop tools and techniques for understanding more advanced quantitative methods. The reader is provided an approach that is implementation-driven rather than theoretically-driven. The material is appropriate for college-level applied mathematics courses with an emphasis on data science.< Less