Calculus and Linear Algebra in Recipes

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Publisher : Springer Nature
ISBN 13 : 366265458X
Total Pages : 1015 pages
Book Rating : 4.6/5 (626 download)

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Book Synopsis Calculus and Linear Algebra in Recipes by : Christian Karpfinger

Download or read book Calculus and Linear Algebra in Recipes written by Christian Karpfinger and published by Springer Nature. This book was released on 2022-11-08 with total page 1015 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a clear and easy-to-understand introduction to higher mathematics with numerous examples. The author shows how to solve typical problems in a recipe-like manner and divides the material into short, easily digestible learning units. Have you ever cooked a 3-course meal based on a recipe? That generally works quite well, even if you are not a great cook. What does this have to do with mathematics? Well, you can solve a lot of math problems recipe-wise: Need to solve a Riccati's differential equation or the singular value decomposition of a matrix? Look it up in this book, you'll find a recipe for it here. Recipes are available for problems from the · Calculus in one and more variables, · linear algebra, · Vector Analysis, · Theory on differential equations, ordinary and partial, · Theory of integral transformations, · Function theory. Other features of this book include: · The division of Higher Mathematics into approximately 100 chapters of roughly equal length. Each chapter covers approximately the material of a 90-minute lecture. · Many tasks, the solutions to which can be found in the accompanying workbook. · Many problems in higher mathematics can be solved with computers. We always indicate how it works with MATLAB®. For the present 3rd edition, the book has been completely revised and supplemented by a section on the solution of boundary value problems for ordinary differential equations, by the topic of residue estimates for Taylor expansions and by the characteristic method for partial differential equations of the 1st order, as well as by several additional problems.

Computer Algebra Recipes for Classical Mechanics

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Publisher : Springer Science & Business Media
ISBN 13 : 146120013X
Total Pages : 273 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Computer Algebra Recipes for Classical Mechanics by : Richard H. Enns

Download or read book Computer Algebra Recipes for Classical Mechanics written by Richard H. Enns and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a standalone, but the recipes are correlated with topics found in standard texts, and make use of MAPLE (Release 7). As a reference text, or self-study guide this book is useful for science professionals and engineers.; Good for the classroom correlates with topics found in standard classical mechanics texts.; This book makes use of the powerful computer algebra system MAPLE (Release 7) but no prior knowledge of MAPLE is presumed.; The relevant command structures are explained on a need-to-know basis as the recipes are developed, thus making this a standalone text.

Multivariable Calculus, Linear Algebra, and Differential Equations

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Publisher : Academic Press
ISBN 13 : 1483218031
Total Pages : 993 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Multivariable Calculus, Linear Algebra, and Differential Equations by : Stanley I. Grossman

Download or read book Multivariable Calculus, Linear Algebra, and Differential Equations written by Stanley I. Grossman and published by Academic Press. This book was released on 2014-05-10 with total page 993 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariable Calculus, Linear Algebra, and Differential Equations, Second Edition contains a comprehensive coverage of the study of advanced calculus, linear algebra, and differential equations for sophomore college students. The text includes a large number of examples, exercises, cases, and applications for students to learn calculus well. Also included is the history and development of calculus. The book is divided into five parts. The first part includes multivariable calculus material. The second part is an introduction to linear algebra. The third part of the book combines techniques from calculus and linear algebra and contains discussions of some of the most elegant results in calculus including Taylor's theorem in "n" variables, the multivariable mean value theorem, and the implicit function theorem. The fourth section contains detailed discussions of first-order and linear second-order equations. Also included are optional discussions of electric circuits and vibratory motion. The final section discusses Taylor's theorem, sequences, and series. The book is intended for sophomore college students of advanced calculus.

Numerical Recipes in C++

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Publisher :
ISBN 13 : 9788175960961
Total Pages : 0 pages
Book Rating : 4.9/5 (69 download)

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Book Synopsis Numerical Recipes in C++ by : William H. Press

Download or read book Numerical Recipes in C++ written by William H. Press and published by . This book was released on 2002 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now the acclaimed Second Edition of Numerical Recipes is available in the C++ object-oriented programming language. Including and updating the full mathematical and explanatory contents of Numerical Recipes in C, this new version incorporates completely new C++ versions of the more than 300 Numerical Recipes routines that are widely recognized as the most accessible and practical basis for 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. Highlights include linear algebra, interpolation, special functions, random numbers, nonlinear sets of equations, optimization, eigensystems, Fourier methods and wavelets, statistical tests, ODEs and PDEs, integral equations and inverse theory. The authors approach to C++ preserves the efficient execution that C users expect, while simultaneously employing a clear, object-oriented interface to the routines. Tricks and tips for scientific computing in C++ are liberally included. The routines, in ANSI/ISO C++ source code, can thus be used with almost any existing C++ vector/matrix class library, according to user preference. A simple class library for stand-alone use is also included in the book. Both scientific programmers new to C++, and experienced C++ programmers who need access to the Numerical Recipes routines, can benefit from this important new version of an invaluable, classic text.

Introduction to Applied Linear Algebra

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Publisher : Cambridge University Press
ISBN 13 : 1316518965
Total Pages : 477 pages
Book Rating : 4.3/5 (165 download)

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Book Synopsis Introduction to Applied Linear Algebra by : Stephen Boyd

Download or read book Introduction to Applied Linear Algebra written by Stephen Boyd and published by Cambridge University Press. This book was released on 2018-06-07 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.

Calculus with Analytic Geometry

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Publisher : Wiley
ISBN 13 : 9780471106777
Total Pages : 164 pages
Book Rating : 4.1/5 (67 download)

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Book Synopsis Calculus with Analytic Geometry by : Howard Anton

Download or read book Calculus with Analytic Geometry written by Howard Anton and published by Wiley. This book was released on 1995 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computer Algebra Recipes

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Publisher : Springer Science & Business Media
ISBN 13 : 0387312625
Total Pages : 436 pages
Book Rating : 4.3/5 (873 download)

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Book Synopsis Computer Algebra Recipes by : Richard H. Enns

Download or read book Computer Algebra Recipes written by Richard H. Enns and published by Springer Science & Business Media. This book was released on 2007-02-26 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: * Contains computer algebra worksheets or "recipes" designed using MAPLE (System 10); no prior knowledge of MAPLE is assumed * Effective computational science text for first- and second-year undergraduates in mathematics, physics, engineering, chemistry, economics, biology, and pre-medicine * Examples and problems provide basis for both self-study and on-line course

Computer Algebra Recipes for Mathematical Physics

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 081764427X
Total Pages : 402 pages
Book Rating : 4.8/5 (176 download)

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Book Synopsis Computer Algebra Recipes for Mathematical Physics by : Richard H. Enns

Download or read book Computer Algebra Recipes for Mathematical Physics written by Richard H. Enns and published by Springer Science & Business Media. This book was released on 2006-03-20 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: * Uses a pedagogical approach that makes a mathematically challenging subject easier and more fun to learn * Self-contained and standalone text that may be used in the classroom, for an online course, for self-study, as a reference * Using MAPLE allows the reader to easily and quickly change the models and parameters

Calculus and Linear Algebra

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Author :
Publisher :
ISBN 13 :
Total Pages : 432 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Calculus and Linear Algebra by : Herbert S. Wilf

Download or read book Calculus and Linear Algebra written by Herbert S. Wilf and published by . This book was released on 1966 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mathematical Methods in the Physical Sciences

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Publisher : John Wiley & Sons
ISBN 13 : 9788126508105
Total Pages : 868 pages
Book Rating : 4.5/5 (81 download)

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Book Synopsis Mathematical Methods in the Physical Sciences by : Mary L. Boas

Download or read book Mathematical Methods in the Physical Sciences written by Mary L. Boas and published by John Wiley & Sons. This book was released on 2006 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: Market_Desc: · Physicists and Engineers· Students in Physics and Engineering Special Features: · Covers everything from Linear Algebra, Calculus, Analysis, Probability and Statistics, to ODE, PDE, Transforms and more· Emphasizes intuition and computational abilities· Expands the material on DE and multiple integrals· Focuses on the applied side, exploring material that is relevant to physics and engineering· Explains each concept in clear, easy-to-understand steps About The Book: The book provides a comprehensive introduction to the areas of mathematical physics. It combines all the essential math concepts into one compact, clearly written reference. This book helps readers gain a solid foundation in the many areas of mathematical methods in order to achieve a basic competence in advanced physics, chemistry, and engineering.

Workouts in Calculus and Linear Algebra with Applications in Economics

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Publisher :
ISBN 13 : 9788372527431
Total Pages : 181 pages
Book Rating : 4.5/5 (274 download)

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Book Synopsis Workouts in Calculus and Linear Algebra with Applications in Economics by : Beata Ciałowicz

Download or read book Workouts in Calculus and Linear Algebra with Applications in Economics written by Beata Ciałowicz and published by . This book was released on 2017 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applying Math with Python

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Publisher : Packt Publishing Ltd
ISBN 13 : 1838986561
Total Pages : 353 pages
Book Rating : 4.8/5 (389 download)

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Book Synopsis Applying Math with Python by : Sam Morley

Download or read book Applying Math with Python written by Sam Morley and published by Packt Publishing Ltd. This book was released on 2020-07-31 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover easy-to-follow solutions and techniques to help you to implement applied mathematical concepts such as probability, calculus, and equations using Python's numeric and scientific libraries Key FeaturesCompute complex mathematical problems using programming logic with the help of step-by-step recipesLearn how to utilize Python's libraries for computation, mathematical modeling, and statisticsDiscover simple yet effective techniques for solving mathematical equations and apply them in real-world statisticsBook Description Python, one of the world's most popular programming languages, has a number of powerful packages to help you tackle complex mathematical problems in a simple and efficient way. These core capabilities help programmers pave the way for building exciting applications in various domains, such as machine learning and data science, using knowledge in the computational mathematics domain. The book teaches you how to solve problems faced in a wide variety of mathematical fields, including calculus, probability, statistics and data science, graph theory, optimization, and geometry. You'll start by developing core skills and learning about packages covered in Python's scientific stack, including NumPy, SciPy, and Matplotlib. As you advance, you'll get to grips with more advanced topics of calculus, probability, and networks (graph theory). After you gain a solid understanding of these topics, you'll discover Python's applications in data science and statistics, forecasting, geometry, and optimization. The final chapters will take you through a collection of miscellaneous problems, including working with specific data formats and accelerating code. By the end of this book, you'll have an arsenal of practical coding solutions that can be used and modified to solve a wide range of practical problems in computational mathematics and data science. What you will learnGet familiar with basic packages, tools, and libraries in Python for solving mathematical problemsExplore various techniques that will help you to solve computational mathematical problemsUnderstand the core concepts of applied mathematics and how you can apply them in computer scienceDiscover how to choose the most suitable package, tool, or technique to solve a certain problemImplement basic mathematical plotting, change plot styles, and add labels to the plots using MatplotlibGet to grips with probability theory with the Bayesian inference and Markov Chain Monte Carlo (MCMC) methodsWho this book is for This book is for professional programmers and students looking to solve mathematical problems computationally using Python. Advanced mathematics knowledge is not a requirement, but a basic knowledge of mathematics will help you to get the most out of this book. The book assumes familiarity with Python concepts of data structures.

Multivariable Calculus with MATLAB®

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Publisher : Springer
ISBN 13 : 9783319650692
Total Pages : 0 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Multivariable Calculus with MATLAB® by : Ronald L. Lipsman

Download or read book Multivariable Calculus with MATLAB® written by Ronald L. Lipsman and published by Springer. This book was released on 2017-12-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive treatment of multivariable calculus focuses on the numerous tools that MATLAB® brings to the subject, as it presents introductions to geometry, mathematical physics, and kinematics. Covering simple calculations with MATLAB®, relevant plots, integration, and optimization, the numerous problem sets encourage practice with newly learned skills that cultivate the reader’s understanding of the material. Significant examples illustrate each topic, and fundamental physical applications such as Kepler’s Law, electromagnetism, fluid flow, and energy estimation are brought to prominent position. Perfect for use as a supplement to any standard multivariable calculus text, a “mathematical methods in physics or engineering” class, for independent study, or even as the class text in an “honors” multivariable calculus course, this textbook will appeal to mathematics, engineering, and physical science students. MATLAB® is tightly integrated into every portion of this book, and its graphical capabilities are used to present vibrant pictures of curves and surfaces. Readers benefit from the deep connections made between mathematics and science while learning more about the intrinsic geometry of curves and surfaces. With serious yet elementary explanation of various numerical algorithms, this textbook enlivens the teaching of multivariable calculus and mathematical methods courses for scientists and engineers.

Applied Linear Algebra

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Publisher : Springer
ISBN 13 : 3319910418
Total Pages : 702 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Applied Linear Algebra by : Peter J. Olver

Download or read book Applied Linear Algebra written by Peter J. Olver and published by Springer. This book was released on 2018-05-30 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook develops the essential tools of linear algebra, with the goal of imparting technique alongside contextual understanding. Applications go hand-in-hand with theory, each reinforcing and explaining the other. This approach encourages students to develop not only the technical proficiency needed to go on to further study, but an appreciation for when, why, and how the tools of linear algebra can be used across modern applied mathematics. Providing an extensive treatment of essential topics such as Gaussian elimination, inner products and norms, and eigenvalues and singular values, this text can be used for an in-depth first course, or an application-driven second course in linear algebra. In this second edition, applications have been updated and expanded to include numerical methods, dynamical systems, data analysis, and signal processing, while the pedagogical flow of the core material has been improved. Throughout, the text emphasizes the conceptual connections between each application and the underlying linear algebraic techniques, thereby enabling students not only to learn how to apply the mathematical tools in routine contexts, but also to understand what is required to adapt to unusual or emerging problems. No previous knowledge of linear algebra is needed to approach this text, with single-variable calculus as the only formal prerequisite. However, the reader will need to draw upon some mathematical maturity to engage in the increasing abstraction inherent to the subject. Once equipped with the main tools and concepts from this book, students will be prepared for further study in differential equations, numerical analysis, data science and statistics, and a broad range of applications. The first author’s text, Introduction to Partial Differential Equations, is an ideal companion volume, forming a natural extension of the linear mathematical methods developed here.

Linear Algebra for Everyone

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Publisher : Wellesley-Cambridge Press
ISBN 13 : 9781733146630
Total Pages : 368 pages
Book Rating : 4.1/5 (466 download)

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Book Synopsis Linear Algebra for Everyone by : Gilbert Strang

Download or read book Linear Algebra for Everyone written by Gilbert Strang and published by Wellesley-Cambridge Press. This book was released on 2020-11-26 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linear algebra has become the subject to know for people in quantitative disciplines of all kinds. No longer the exclusive domain of mathematicians and engineers, it is now used everywhere there is data and everybody who works with data needs to know more. This new book from Professor Gilbert Strang, author of the acclaimed Introduction to Linear Algebra, now in its fifth edition, makes linear algebra accessible to everybody, not just those with a strong background in mathematics. It takes a more active start, beginning by finding independent columns of small matrices, leading to the key concepts of linear combinations and rank and column space. From there it passes on to the classical topics of solving linear equations, orthogonality, linear transformations and subspaces, all clearly explained with many examples and exercises. The last major topics are eigenvalues and the important singular value decomposition, illustrated with applications to differential equations and image compression. A final optional chapter explores the ideas behind deep learning.

Mathematica Cookbook

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Publisher :
ISBN 13 : 9781449382001
Total Pages : 800 pages
Book Rating : 4.3/5 (82 download)

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Book Synopsis Mathematica Cookbook by : Sal Mangano

Download or read book Mathematica Cookbook written by Sal Mangano and published by . This book was released on 2010 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematica Cookbook helps you master the application's core principles by walking you through real-world problems. Ideal for browsing, this book includes recipes for working with numerics, data structures, algebraic equations, calculus, and statistics. You'll also venture into exotic territory with recipes for data visualization using 2D and 3D graphic tools, image processing, and music. Although Mathematica 7 is a highly advanced computational platform, the recipes in this book make it accessible to everyone -- whether you're working on high school algebra, simple graphs, PhD-level computatio.

Mathematica Cookbook

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449390765
Total Pages : 830 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Mathematica Cookbook by : Sal Mangano

Download or read book Mathematica Cookbook written by Sal Mangano and published by "O'Reilly Media, Inc.". This book was released on 2010-04-02 with total page 830 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematica Cookbook helps you master the application's core principles by walking you through real-world problems. Ideal for browsing, this book includes recipes for working with numerics, data structures, algebraic equations, calculus, and statistics. You'll also venture into exotic territory with recipes for data visualization using 2D and 3D graphic tools, image processing, and music. Although Mathematica 7 is a highly advanced computational platform, the recipes in this book make it accessible to everyone -- whether you're working on high school algebra, simple graphs, PhD-level computation, financial analysis, or advanced engineering models. Learn how to use Mathematica at a higher level with functional programming and pattern matching Delve into the rich library of functions for string and structured text manipulation Learn how to apply the tools to physics and engineering problems Draw on Mathematica's access to physics, chemistry, and biology data Get techniques for solving equations in computational finance Learn how to use Mathematica for sophisticated image processing Process music and audio as musical notes, analog waveforms, or digital sound samples