Butterfly Matrix
Butterfly Matrix

Author: Angela Gerber

Publisher: Balboa Press

Published: 2014

Total Pages: 231

ISBN-13: 145258737X

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Buying a basic daily planner may help you organize the events in your life, but will it help organize the events happening inside of your mind, body, and soul? Butterfly Matrix will not only help you lay out your day, it will help you make your day positive, help you know your goals, help you bring yourself back to a positive center, and so much more. Butterfly Matrix is a workbook/ planner that breaks down why it is so important to be in a positive state of mind and actually directs you in ways to become more positive. Angela aka "Butterfly" is a healer who brings to you in her book: - meditations to bring you from a negative to a positive state. - gratitude list to remind you that you should be grateful for what you have already. - writing your biannual intentions to know long-term goals and keep on track with them. - creating your "Boom Board" for visual inspirational and biannual intentions. - creating your sacred space that brings you positive energy and "centers" you. "Butterfly Matrix is a tool for transformation, breaking free of the cocoon and becoming the beautiful free butterfly you are." - Butterfly

An Introduction to Data Structures and Algorithms
An Introduction to Data Structures and Algorithms

Author: J.A. Storer

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 609

ISBN-13: 146120075X

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Data structures and algorithms are presented at the college level in a highly accessible format that presents material with one-page displays in a way that will appeal to both teachers and students. The thirteen chapters cover: Models of Computation, Lists, Induction and Recursion, Trees, Algorithm Design, Hashing, Heaps, Balanced Trees, Sets Over a Small Universe, Graphs, Strings, Discrete Fourier Transform, Parallel Computation. Key features: Complicated concepts are expressed clearly in a single page with minimal notation and without the "clutter" of the syntax of a particular programming language; algorithms are presented with self-explanatory "pseudo-code." * Chapters 1-4 focus on elementary concepts, the exposition unfolding at a slower pace. Sample exercises with solutions are provided. Sections that may be skipped for an introductory course are starred. Requires only some basic mathematics background and some computer programming experience. * Chapters 5-13 progress at a faster pace. The material is suitable for undergraduates or first-year graduates who need only review Chapters 1 -4. * This book may be used for a one-semester introductory course (based on Chapters 1-4 and portions of the chapters on algorithm design, hashing, and graph algorithms) and for a one-semester advanced course that starts at Chapter 5. A year-long course may be based on the entire book. * Sorting, often perceived as rather technical, is not treated as a separate chapter, but is used in many examples (including bubble sort, merge sort, tree sort, heap sort, quick sort, and several parallel algorithms). Also, lower bounds on sorting by comparisons are included with the presentation of heaps in the context of lower bounds for comparison-based structures. * Chapter 13 on parallel models of computation is something of a mini-book itself, and a good way to end a course. Although it is not clear what parallel

The Matrix Eigenvalue Problem
The Matrix Eigenvalue Problem

Author: David S. Watkins

Publisher: SIAM

Published: 2007-01-01

Total Pages: 452

ISBN-13: 9780898717808

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The first in-depth, complete, and unified theoretical discussion of the two most important classes of algorithms for solving matrix eigenvalue problems: QR-like algorithms for dense problems and Krylov subspace methods for sparse problems. The author discusses the theory of the generic GR algorithm, including special cases (for example, QR, SR, HR), and the development of Krylov subspace methods. This book also addresses a generic Krylov process and the Arnoldi and various Lanczos algorithms, which are obtained as special cases. Theoretical and computational exercises guide students, step by step, to the results. Downloadable MATLAB programs, compiled by the author, are available on a supplementary Web site. Readers of this book are expected to be familiar with the basic ideas of linear algebra and to have had some experience with matrix computations. Ideal for graduate students, or as a reference book for researchers and users of eigenvalue codes.

Handbook of Linear Algebra
Handbook of Linear Algebra

Author: Leslie Hogben

Publisher: CRC Press

Published: 2013-11-26

Total Pages: 1906

ISBN-13: 1498785603

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With a substantial amount of new material, the Handbook of Linear Algebra, Second Edition provides comprehensive coverage of linear algebra concepts, applications, and computational software packages in an easy-to-use format. It guides you from the very elementary aspects of the subject to the frontiers of current research. Along with revisions and

Butterfly Matrix
Butterfly Matrix

Author: Angela Gerber

Publisher: BalboaPress

Published: 2014-01-21

Total Pages: 228

ISBN-13: 1452587388

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Buying a basic daily planner may help you organize the events in your life, but will it help organize the events happening inside of your mind, body, and soul? Butterfly Matrix will not only help you lay out your day, it will help you make your day positive, help you know your goals, help you bring yourself back to a positive center, and so much more. Butterfly Matrix is a workbook/ planner that breaks down why it is so important to be in a positive state of mind and actually directs you in ways to become more positive. Angela aka Butterfly is a healer who brings to you in her book: - meditations to bring you from a negative to a positive state. - gratitude list to remind you that you should be grateful for what you have already. - writing your biannual intentions to know long-term goals and keep on track with them. - creating your Boom Board for visual inspirational and biannual intentions. - creating your sacred space that brings you positive energy and centers you. Butterfly Matrix is a tool for transformation, breaking free of the cocoon and becoming the beautiful free butterfly you are. - Butterfly

Symplectic Methods for the Symplectic Eigenproblem
Symplectic Methods for the Symplectic Eigenproblem

Author: Heike Fassbender

Publisher: Springer Science & Business Media

Published: 2007-05-08

Total Pages: 277

ISBN-13: 0306469782

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The solution of eigenvalue problems is an integral part of many scientific computations. For example, the numerical solution of problems in structural dynamics, electrical networks, macro-economics, quantum chemistry, and c- trol theory often requires solving eigenvalue problems. The coefficient matrix of the eigenvalue problem may be small to medium sized and dense, or large and sparse (containing many zeroelements). In the past tremendous advances have been achieved in the solution methods for symmetric eigenvalue pr- lems. The state of the art for nonsymmetric problems is not so advanced; nonsymmetric eigenvalue problems can be hopelessly difficult to solve in some situations due, for example, to poor conditioning. Good numerical algorithms for nonsymmetric eigenvalue problems also tend to be far more complex than their symmetric counterparts. This book deals with methods for solving a special nonsymmetric eig- value problem; the symplectic eigenvalue problem. The symplectic eigenvalue problem is helpful, e.g., in analyzing a number of different questions that arise in linear control theory for discrete-time systems. Certain quadratic eigenvalue problems arising, e.g., in finite element discretization in structural analysis, in acoustic simulation of poro-elastic materials, or in the elastic deformation of anisotropic materials can also lead to symplectic eigenvalue problems. The problem appears in other applications as well.

Parallel Processing and Applied Mathematics
Parallel Processing and Applied Mathematics

Author: Roman Wyrzykowski

Publisher: Springer

Published: 2012-07-03

Total Pages: 789

ISBN-13: 3642314643

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This two-volume-set (LNCS 7203 and 7204) constitutes the refereed proceedings of the 9th International Conference on Parallel Processing and Applied Mathematics, PPAM 2011, held in Torun, Poland, in September 2011. The 130 revised full papers presented in both volumes were carefully reviewed and selected from numerous submissions. The papers address issues such as parallel/distributed architectures and mobile computing; numerical algorithms and parallel numerics; parallel non-numerical algorithms; tools and environments for parallel/distributed/grid computing; applications of parallel/distributed computing; applied mathematics, neural networks and evolutionary computing; history of computing.

High Performance Computing for Computational Science -- VECPAR 2014
High Performance Computing for Computational Science -- VECPAR 2014

Author: Michel Daydé

Publisher: Springer

Published: 2015-04-20

Total Pages: 318

ISBN-13: 3319173537

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This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on High Performance Computing for Computational Science, VECPAR 2014, held in Eugene, OR, USA, in June/July 2014. The 25 papers presented were carefully reviewed and selected of numerous submissions. The papers are organized in topical sections on algorithms for GPU and manycores, large-scale applications, numerical algorithms, direct/hybrid methods for solving sparse matrices, performance tuning. The volume also contains the papers presented at the 9th International Workshop on Automatic Performance Tuning.

Matrix Preconditioning Techniques and Applications
Matrix Preconditioning Techniques and Applications

Author: Ke Chen

Publisher: Cambridge University Press

Published: 2005-07-14

Total Pages: 616

ISBN-13: 9780521838283

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A comprehensive introduction to preconditioning techniques, now an essential part of successful and efficient iterative solutions of matrices.

Spectra and Pseudospectra
Spectra and Pseudospectra

Author: Lloyd N. Trefethen

Publisher: Princeton University Press

Published: 2020-05-26

Total Pages:

ISBN-13: 0691213100

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Pure and applied mathematicians, physicists, scientists, and engineers use matrices and operators and their eigenvalues in quantum mechanics, fluid mechanics, structural analysis, acoustics, ecology, numerical analysis, and many other areas. However, in some applications the usual analysis based on eigenvalues fails. For example, eigenvalues are often ineffective for analyzing dynamical systems such as fluid flow, Markov chains, ecological models, and matrix iterations. That's where this book comes in. This is the authoritative work on nonnormal matrices and operators, written by the authorities who made them famous. Each of the sixty sections is written as a self-contained essay. Each document is a lavishly illustrated introductory survey of its topic, complete with beautiful numerical experiments and all the right references. The breadth of included topics and the numerous applications that provide links between fields will make this an essential reference in mathematics and related sciences.