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About This BookMaster the theory and algorithms behind numerical recipes and how they can be applied to real-world problemsLearn to combine the most appropriate built-in functions from the SciPy stack by understanding the connection between the sources of your problem, volume of data, or computer architectureA comprehensive coverage of all the mathematical techniques needed to solvethe presented topics, with a discussion of the relevant algorithms built in the SciPy stackWho This Book Is ForIf you are a professional with a proficiency in Python and familiarity with IPython, this book is for you. Some basic knowledge of numerical methods in scientific computing would be helpful.What You Will LearnMaster relevant algorithms used in symbolic or numerical mathematics to address the approximation, interpolation, and optimization of scalar or multi-variate functionsDevelop different algorithms and strategies to effectively store and manipulate large matrices of data, with a view to solving v

Mastering SciPy | Blanco | Silva Francisco J. | Paperback | Twarda

pThis practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems all the way from loading data to training models and leveraging neural networks. p Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure it works. From there, you can adapt these recipes according to your use case or application. Recipes include a discussion that explains the solution and provides meaningful context. Go beyond theory and concepts by learning the nuts and bolts you need to construct working machine learning applications. p You'll find recipes for ul liVectors, matrices, and arrays liWorking with data from CSV, JSON, SQL, databases, cloud storage, and other sources liHandling numerical and categorical data, text, images, and dates and times

Machine Learning with Python Cookbook | Gallatin Kyle | Twarda

This first of a kind textbook provides computational tools in Fortran 90 that are fundamental to quantum information, quantum computing, linear algebra and one dimensional spin half condensed matter systems.

Numerical Recipes in Quantum Information Theory and Quantum Computing | Ramkarthik M. S. | Twarda

This is the greatly revised and greatly expanded Second Edition of the hugely popular Numerical Recipes The Art of Scientific Computing. The product of a unique collaboration among four leading scientists in academic research and industry Numerical Recipes is a complete text and reference book on scientific computing. In a self-contained manner it proceeds from mathematical and theoretical considerations to actual practical computer routines. With over 100 new routines bringing the total to well over 300, plus upgraded versions of the original routines, this new edition remains the most practical, comprehensive handbook of scientific computing available today. Highlights of the new material include -A new chapter on integral equations and inverse methods -Multigrid and other methods for solving partial differential equations -Improved random number routines - Wavelet transforms -The statistical bootstrap method -A new chapter on less-numerical algorithms including compression coding an

Numerical Recipes in FORTRAN 77 | Press William H. | Twarda

Co-authored by four leading scientists from academia and industry, Numerical Recipes Third Edition starts with basic mathematics and computer science and proceeds to complete, working routines. Widely recognized as the most comprehensive, accessible and practical basis for scientific computing, this new edition incorporates more than 400 Numerical Recipes routines, many of them new or upgraded. The executable C code, now printed in color for easy reading, adopts an object-oriented style particularly suited to scientific applications. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. Please visit www.nr.com or www.cambridge.orgusnumericalrecipes for more details. More information concerning licenses is available at www.nr.comlicenses New key features ul li2 new chapters, 25 new sections, 25 longer than Second Editionli liThorough upgrades throughout the textli liOver 100 completely new routines and upgrades of many more.li liNew Class

Numerical Recipes | Press William H. | Twarda

pstrongemComputational Framework for the Finite Element Method in MATLABR and Pythonemstrong aims to provide a programming framework for coding linear FEM using matrix-based MATLABR language and Python scripting language. It describes FEM algorithm implementation in the most generic formulation so that it is possible to apply this algorithm to as many application problems as possible. pReaders can follow the step-by-step process of developing algorithms with clear explanations of its underlying mathematics and how to put it into MATLAB and Python code. The content is focused on aspects of numerical methods and coding FEM rather than FEM mathematical analysis. However, basic mathematical formulations for numerical techniques which are needed to implement FEM are provided. Particular attention is paid to an efficient programming style using sparse matrices. ppFeatures pul p p liContains ready-to-use coding recipes allowing fast prototyping and solving of mathematical problems using FEMli

Computational Framework for the Finite Element Method in Matlab | Sumets Pavel | Twarda

This book is not a manual of PYTHON nor does it replace many excellent books on the use of this cool language. What this book offers is a friendly aid for some of the frequent numerical problems that arise in the analytical study of many engineering and physical problems. The chapters of the book reach the point in a simple way by deliberately giving up to impress the reader with the power and sophistication of PYTHON in favor of readability and understanding. The scripts are autonomous and solve very specific problems such as interpolation and fitting, non-linear equations, integration, differential equations, in few essential sentences. Even so, the reader will see that they can combined and adapt to real problems. I assumed that the reader has some elementary knowledge of script writing, although not necessarily advanced knowledge. Yet, a Python primer is included at the end.

Python Recipes for Engineers and Scientists | Riverola Gurruchaga Javier | Twarda

The Numerical Recipes Third Edition Code CDROM contains the complete source code in C for Numerical Recipes Third Edition, with many completely new routines, plus source code from Numerical Recipes Second Edition in C, Fortran 77, and Fortran 90 and Numerical Recipes First Edition in Pascal and BASIC, and more. Compatible with all computers and operating systems, the CDROM includes a Personal Single-User License that allows an individual to use the copyrighted code on any number of computers no more than one at a time. More general licenses are available, as well as more information about the CDROM and the book -- including a fully electronic online version. Please visit www.nr.com or www.cambridge.orgusnumericalrecipes for more details. More information concerning licenses is available at www.nr.comlicenses The Readers' Forum, for bug reports and other information on using Numerical Recipes http www.nr.comforum

Numerical Recipes Source Code CD | ROM 3rd Edition | Press William H. | Twarda

ppp1 Introduction.- Part I RGCDkit at work.- 2 Data manipulation and simple calculations.- 3 Classical plots.- 4 Specialized plots.- 5 Radiogenic isotopes.- Part II Modelling major elements.- 6 Direct models.- 7 Reverse models.- 8 Forward modelling in R.- 9 Reverse modelling in R.- Part III Modelling trace elements.- 10 Dilute trace elements partition coefficients.- 11 Direct dilute trace-element models.- 12 Reverse dilute trace-element models.- 13 Trace elements as essential structural constituents of accessory minerals the solubility concept.- 14 Forward modelling in R.- 15 Reverse modelling in R.- Part IV Radiogenic isotopes.- 16 Direct models.- 17 Reverse models.- 18 Forward modelling in R.- 19 Reverse modelling in R.- Part V Practical modelling.- 20 Choosing an appropriate model.- 21 Semi-quantitative geochemical approach.- 22 Constraining a model.- 23 Numerical tips and tricks.- 24 Common sense in action.- Part VI Worked examples.- 25 Differentiation of a calc-alkaline volcanic s

Geochemical Modelling of Igneous Processes | Principles and Recipes in R Language | Janousek Vojtěch | Twarda

The second volume of the Fortran Numerical Recipes series, Numerical Recipes in Fortran 90 contains a detailed introduction to the Fortran 90 language and to the basic concepts of parallel programming, plus source code for all routines from the second edition of Numerical Recipes. This volume does not repeat any of the discussion of what individual programs actually do, the mathematical methods they utilize, or how to use them.

Numerical Recipes in FORTRAN 90 | Press William H. | Twarda

This book contains the routines and demonstration programs from the first edition of the highly acclaimed reference book, Numerical Recipes The Art of Scientific Computing. It includes computer code and code captions from the book and example book and the commentary from the example book. The author employs a contemporary version of BASIC, Microsoft QuickBasic 4.5, which roughly follows the structure of FORTRAN in fact, the recipes found in this book are easily adapted for other modern forms of BASIC. This book is recommended for use with one of the main Numerical Recipes books, such as Numerical Recipes in Fortran 77  link to 43064X. The programs contained in this book are also available as machine-readable code on the Numerical Recipes Code CD-ROM with WindowsMacintosh Single Screen License  link to 576083.

Numerical Recipes Routines and Examples in Basic | Sprott Julien C. | Twarda

This book is intended for researchers, engineers and students in solid mechanics, materials science and physics who are interested in using the power of modern computing to solve a wide variety of problems of both practical and fundamental significance in elasticity. Extensive use of Mathematica in the book makes available to the reader a range of recipes that can be readily adjusted to match particular tastes or requirements, to visualize solutions, and to carry out symbolic and numerical analysis and optimization.

Elasticity with Mathematica | Constantinescu Andrei | Twarda

pppLearn how analog circuit simulators work with these easy to use numerical recipes implemented in the popular Python programming environment. This book covers the fundamental aspects of common simulation analysis techniques and algorithms used in professional simulators today in a pedagogical way through simple examples. The book covers not just linear analyses but also nonlinear ones like steady state simulations. It is rich with examples and exercises and many figures to help illustrate the points. For the interested reader, the fundamental mathematical theorems governing the simulation implementations are covered in the appendices. p pbi ibpbrpp

Analog Circuit Simulators for Integrated Circuit Designers | Sahrling Mikael | Twarda

pThis self-contained monograph describes basic set-theoretic methods and provides a discussion of their links to fundamental problems in control. The work presents several established and potentially new applications, along with numerical examples and case studies. Mathematical language is kept to a minimum necessary for the adequate formulation and statement of main concepts. Numerical algorithms in MATLAB and C are available online.p pp pstrongSet-Theoretic Methods in Controlstrong is accessible to readers familiar with the basics of systems and control theory. The text provides a solid foundation of mathematical techniques and applications and also features avenues for further theoretical study. Aimed primarily at graduate students and researchers in applied mathematics and engineering, the book will also appeal to practitioners since it contains extensive references to the literature and supplies many recipes for solving significant control problems.p

Set | Theoretic Methods in Control | Blanchini Franco | Twarda | Twarda

pppDiscover the newest major features of C20, including modules, concepts, spaceship operators, and smart pointers. This book is a handy code cookbook reference guide that covers the C core language standard as well as some of the code templates available in standard template library STL. p pIn iC20 Recipes A Problem-Solution Approachi, you'll find numbers, strings, dates, times, classes, exceptions, streams, flows, pointers, and more. Also, you'll see various code samples, templates for C algorithms, parallel processing, multithreading, and numerical processes. It also includes 3D graphics programming code. A wealth of STL templates on function objects, adapters, allocators, and extensions are also available.p pThis is a must-have, contemporary reference for your technical library to help with just about any project that involves the C programming language. p pbWhat You Will Learnbp ul liSee what's new in C20li Write modules liWork with text, numbers, and classesli liUse the container

C++20 Recipes | Browning J. Burton | Twarda

pLearn the code to write algorithms, numerical computations, data analysis and much more using the Python language look up and re-use the recipes for your own Python coding. This book is your handy code cookbook reference. Whether you're a maker, game developer, cloud computing programmer and more, this is a must-have reference for your library. ppppppppemPython Recipes ememHandbookem gives you the most common and contemporary code snippets, using pandas Python Data Analysis Library, NumPy, and other numerical Python packages. ppbWhat You'll LearnbpulliCode with the pandas Python Data Analysis LibraryliliWork with the various Python algorithms useful for today's big data analytics and cloud applicationsliliUse NumPy and other numerical Python packages and code for doing various kinds of analysisliliDiscover Python's new popular modules, packages, extensions and templates libraryliulpbWho This Book Is ForbpThis handy reference is for those with some experience with Python. br

Python Recipes Handbook | Bernard Joey | Twarda

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pHow can music withstand the death and destruction brought on by war Global conflicts of the 20th century fundamentally transformed not only national boundaries, power relations, and global economies, but also the arts and culture of every nation involved. An important, unacknowledged aspect of these conflicts is that they have unique musical soundtracks. iMusic in World War IIi explores how music and sound took on radically different dimensions in the United States and Europe before, during, and after World War II. Additionally, the collection examines the impact of radio and film as the disseminators of the war's musical soundtrack. Contributors contend that the European and American soundtrack of World War II was largely one of escapism rather than the lofty, solemn, heroic, and celebratory mode of war music in the past. Furthermore, they explore the variety of experiences of populations forced from their homes and interned in civilian and POW camps in Europe and the United States, 

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