Scientific computing (Mehr als 5.900 Ergebnisse)

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Hardback. Zustand: Good. Numerical Recipes: The Art of Scientific Computing was first published in 1986 and became an instant classic among scientists, engineers, and social scientists. In this book the original, time-tested programs have been completely reworked into a clear, consistent Pascal style. This represents a significant improvement to the immensely successful programs contained in the first edition, which were originally written in Fortran. The authors make extensive use of pointers, dynamic memory allocation, and other features utilized by this language. The explanatory text accompanying the programs replicates the lucid, and easy-to-read prose found in the original version, and incorporates corrections, improvements, and explanations of special Pascal features. The product of a unique collaboration among four leading scientists in academic research and industry, Numerical Recipes in Pascal fills a long-recognized need for a practical, comprehensive handbook of scientific computing in the Pascal language. The book is designed both for the Pascal programmer who wants exposure to the techniques of scientific computing, and for the working scientist, social scientist, and engineer. The scope of the book ranges from standard areas of numerical analysis (linear algebra, differential equations, roots) through subjects useful to signal processing (Fourier methods, filtering), data analysis (least squares, robust fitting, statistical functions), simulation (random deviates and Monte Carlo), and more. The lively, informal text combined with an underlying degree of mathematical sophistication makes the book useful to a wide range of readers, beginning at the advanced undergraduate level.…

Sprache: Englisch
Verlag: The MIT Press, 2017
Serie: Buch 23 von 27 - Scientific and Engineering Computation
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MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB
Wallisch PhD, Pascal; Lusignan, Michael E.; Benayoun, Marc D.; Baker, Tanya I.; Dickey, Adam Seth; Hatsopoulos, Nicholas G.
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Sprache: Englisch
Verlag: The MIT Press, 2017
Serie: Buch 23 von 27 - Scientific and Engineering Computation
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Hardback. Zustand: Good. Numerical Recipes: The Art of Scientific Computing was first published in 1986 and became an instant classic among scientists, engineers, and social scientists. In this book the original, time-tested programs have been completely reworked into a clear, consistent Pascal style. This represents a significant improvement to the immensely successful programs contained in the first edition, which were originally written in Fortran. The authors make extensive use of pointers, dynamic memory allocation, and other features utilized by this language. The explanatory text accompanying the programs replicates the lucid, and easy-to-read prose found in the original version, and incorporates corrections, improvements, and explanations of special Pascal features. The product of a unique collaboration among four leading scientists in academic research and industry, Numerical Recipes in Pascal fills a long-recognized need for a practical, comprehensive handbook of scientific computing in the Pascal language. The book is designed both for the Pascal programmer who wants exposure to the techniques of scientific computing, and for the working scientist, social scientist, and engineer. The scope of the book ranges from standard areas of numerical analysis (linear algebra, differential equations, roots) through subjects useful to signal processing (Fourier methods, filtering), data analysis (least squares, robust fitting, statistical functions), simulation (random deviates and Monte Carlo), and more. The lively, informal text combined with an underlying degree of mathematical sophistication makes the book useful to a wide range of readers, beginning at the advanced undergraduate level.…

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Numerical Recipes in Fortran 77: The Art of Scientific Computing
Press, William H.; Flannery, Brian P.; Teukolsky, Saul A.; Vetterling, William T.
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Numerical Recipes in Fortran 77: The Art of Scientific Computing
Press, William H.; Flannery, Brian P.; Teukolsky, Saul A.; Vetterling, William T.
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MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB
Wallisch PhD, Pascal; Lusignan, Michael E.; Benayoun, Marc D.; Baker, Tanya I.; Dickey, Adam Seth; Hatsopoulos, Nicholas G.
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Numerical Recipes in Pascal (First Edition): The Art of Scientific Computing
Press, William H.; Flannery, Brian P.; Teukolsky, Saul A.; Vetterling, William T.
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Paperback. Zustand: Good. Use the power of pandas to solve most complex scientific computing problems with ease. Revised for pandas 1.x. Key Features This is the first book on pandas 1.x Practical, easy to implement recipes for quick solutions to common problems in data using pandas Master the fundamentals of pandas to quickly begin exploring any dataset Book DescriptionThe pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands as one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter. This new updated and revised edition provides you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. Many advanced recipes combine several different features across the pandas library to generate results.What you will learn Master data exploration in pandas through dozens of practice problems Group, aggregate, transform, reshape, and filter data Merge data from different sources through pandas SQL-like operations Create visualizations via pandas hooks to matplotlib and seaborn Use pandas, time series functionality to perform powerful analyses Import, clean, and prepare real-world datasets for machine learning Create workflows for processing big data that doesn't fit in memory Who this book is forThis book is for Python developers, data scientists, engineers, and analysts. Pandas is the ideal tool for manipulating structured data with Python and this book provides ample instruction and examples. Not only does it cover the basics required to be proficient, but it goes into the details of idiomatic pandas.…

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Numerical Recipes in C: The Art of Scientific Computing, Second Edition
Press, William H.; Flannery, Brian P.; Teukolsky, Saul A.; Vetterling, William T.
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