Introduction to Applied Linear Algebra PDF Download
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Author: Stephen Boyd
Publisher: Cambridge University Press
ISBN: 1316518965
Category : Business & Economics
Languages : en
Pages : 477
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Book Description
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
Author: Stephen Boyd
Publisher: Cambridge University Press
ISBN: 1316518965
Category : Business & Economics
Languages : en
Pages : 477
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Book Description
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
Author: John L. McCabe
Publisher:
ISBN: 9780931993633
Category : Education
Languages : en
Pages : 100
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Book Description
Topics include: Formulas; Equations; Ratios and proportions; Percents. Algebra applied to everyday problems.
Author: Erik Richardson
Publisher: Cavendish Square Publishing, LLC
ISBN: 1502619660
Category : Juvenile Nonfiction
Languages : en
Pages : 130
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Book Description
Much more than finding x, algebra forms the basis to describe any process that has variation. Everyday numbers like money and time are common variables. In this book, key concepts from algebra, such as lines, polynomials and the quadratic formula, are shown at work in surprising applications including industrial baking, robotics, and the natural world.
Author: Martin Wirsing
Publisher: Springer Science & Business Media
ISBN: 9783540516989
Category : Computers
Languages : en
Pages : 572
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Book Description
Author: Sergei Silvestrov
Publisher: Springer Nature
ISBN: 3030418502
Category : Mathematics
Languages : en
Pages : 976
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Book Description
This book explores the latest advances in algebraic structures and applications, and focuses on mathematical concepts, methods, structures, problems, algorithms and computational methods important in the natural sciences, engineering and modern technologies. In particular, it features mathematical methods and models of non-commutative and non-associative algebras, hom-algebra structures, generalizations of differential calculus, quantum deformations of algebras, Lie algebras and their generalizations, semi-groups and groups, constructive algebra, matrix analysis and its interplay with topology, knot theory, dynamical systems, functional analysis, stochastic processes, perturbation analysis of Markov chains, and applications in network analysis, financial mathematics and engineering mathematics. The book addresses both theory and applications, which are illustrated with a wealth of ideas, proofs and examples to help readers understand the material and develop new mathematical methods and concepts of their own. The high-quality chapters share a wealth of new methods and results, review cutting-edge research and discuss open problems and directions for future research. Taken together, they offer a source of inspiration for a broad range of researchers and research students whose work involves algebraic structures and their applications, probability theory and mathematical statistics, applied mathematics, engineering mathematics and related areas.
Author: Venzo de Sabbata
Publisher: CRC Press
ISBN: 1584887737
Category : Mathematics
Languages : en
Pages : 186
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Book Description
Bringing geometric algebra to the mainstream of physics pedagogy, Geometric Algebra and Applications to Physics not only presents geometric algebra as a discipline within mathematical physics, but the book also shows how geometric algebra can be applied to numerous fundamental problems in physics, especially in experimental situations. This
Author: Annie Gammon
Publisher: Nelson Thornes
ISBN: 1903142083
Category : Mathematics
Languages : en
Pages : 316
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Book Description
An essential file to support teachers and heads of department by bringing together all the recent developments and issues of concern in Key Stage 3 mathematics. In fact, it's a complete guide to successful planning, teaching and assessment. * work as a team to develop a clear departmental vision * translate that vision into planning * specific examples of good practice * guided INSET activities for the whole team * help with differentiation, classroom organisation and transition for Year 7 children.
Author: Simeon Ivanov
Publisher: American Mathematical Soc.
ISBN: 9780821831403
Category : Mathematics
Languages : en
Pages : 290
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Book Description
This collection consists of original work on Galois theory, rings and algebras, algebraic geometry, group representations, algebraic Kâtheory and some of their applications.
Author: Sam Morley
Publisher: Packt Publishing Ltd
ISBN: 180461680X
Category : Computers
Languages : en
Pages : 376
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Book Description
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 Features Compute complex mathematical problems using programming logic with the help of step-by-step recipes Learn how to use Python libraries for computation, mathematical modeling, and statistics Discover simple yet effective techniques for solving mathematical equations and apply them in real-world statistics Book Description The updated edition of Applying Math with Python will help you solve complex problems in a wide variety of mathematical fields in simple and efficient ways. Old recipes have been revised for new libraries and several recipes have been added to demonstrate new tools such as JAX. You'll start by refreshing your knowledge of several core mathematical fields and learn about packages covered in Python's scientific stack, including NumPy, SciPy, and Matplotlib. As you progress, you'll gradually get to grips with more advanced topics of calculus, probability, and networks (graph theory). Once you've developed a solid base in these topics, you'll have the confidence to set out on math adventures with Python as you explore 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 learn Become familiar with basic Python packages, tools, and libraries for solving mathematical problems Explore real-world applications of mathematics to reduce a problem in optimization Understand the core concepts of applied mathematics and their application in computer science Find out how to choose the most suitable package, tool, or technique to solve a problem Implement basic mathematical plotting, change plot styles, and add labels to plots using Matplotlib Get to grips with probability theory with the Bayesian inference and Markov Chain Monte Carlo (MCMC) methods Who this book is for Whether you are a professional programmer or a student looking to solve mathematical problems computationally using Python, this is the book for you. Advanced mathematics proficiency is not a prerequisite, but basic knowledge of mathematics will help you to get the most out of this Python math book. Familiarity with the concepts of data structures in Python is assumed.
Author: Roman Wyrzykowski
Publisher: Springer
ISBN: 3642552242
Category : Computers
Languages : en
Pages : 817
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Book Description
This two-volume-set (LNCS 8384 and 8385) constitutes the refereed proceedings of the 10th International Conference of Parallel Processing and Applied Mathematics, PPAM 2013, held in Warsaw, Poland, in September 2013. The 143 revised full papers presented in both volumes were carefully reviewed and selected from numerous submissions. The papers cover important fields of parallel/distributed/cloud computing and applied mathematics, such as numerical algorithms and parallel scientific computing; parallel non-numerical algorithms; tools and environments for parallel/distributed/cloud computing; applications of parallel computing; applied mathematics, evolutionary computing and metaheuristics.
