Author: Publisher:
ISBN: 9781683805380
Category :
Languages : en
Pages : 0
Book Description
Investigating Matter (G5 U1)
Author: Investigating Matter (G5 U1)
Author: The Most Beautiful Roof in the World
Author: Kathryn LaskyPublisher: Houghton Mifflin Harcourt
ISBN: 9780152008970
Category : Juvenile Nonfiction
Languages : en
Pages : 52
Book Description
From Newbery Honor author Kathryn Lasky comes a fascinating journey through the rainforest canopy that's perfect for budding environmentalists.
Quantum Information Meets Quantum Matter
Author: Bei ZengPublisher: Springer
ISBN: 1493990845
Category : Computers
Languages : en
Pages : 364
Book Description
This book approaches condensed matter physics from the perspective of quantum information science, focusing on systems with strong interaction and unconventional order for which the usual condensed matter methods like the Landau paradigm or the free fermion framework break down. Concepts and tools in quantum information science such as entanglement, quantum circuits, and the tensor network representation prove to be highly useful in studying such systems. The goal of this book is to introduce these techniques and show how they lead to a new systematic way of characterizing and classifying quantum phases in condensed matter systems. The first part of the book introduces some basic concepts in quantum information theory which are then used to study the central topic explained in Part II: local Hamiltonians and their ground states. Part III focuses on one of the major new phenomena in strongly interacting systems, the topological order, and shows how it can essentially be defined and characterized in terms of entanglement. Part IV shows that the key entanglement structure of topological states can be captured using the tensor network representation, which provides a powerful tool in the classification of quantum phases. Finally, Part V discusses the exciting prospect at the intersection of quantum information and condensed matter physics – the unification of information and matter. Intended for graduate students and researchers in condensed matter physics, quantum information science and related fields, the book is self-contained and no prior knowledge of these topics is assumed.
Iterative Methods for Sparse Linear Systems
Author: Yousef SaadPublisher: SIAM
ISBN: 0898715342
Category : Mathematics
Languages : en
Pages : 537
Book Description
Mathematics of Computing -- General.
Classroom Discussions
Author: Suzanne H. ChapinPublisher: Math Solutions
ISBN: 1935099019
Category : Discussion
Languages : en
Pages : 314
Book Description
"Based on a four-year research project funded by the U.S. Department of Education, this book is divided into four sections: Talk in the Mathematics Class (introducing five discussion strategies, or “moves,” that help teachers achieve their instructional goal of strengthening students’ mathematical thinking and learning), What Do We Talk About?, Implementing Talk in the Classroom, and Case Studies."--pub. desc.
Mining of Massive Datasets
Author: Jure LeskovecPublisher: Cambridge University Press
ISBN: 1107077230
Category : Computers
Languages : en
Pages : 480
Book Description
Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.
Perturbation theory for linear operators
Author: Tosio KatoPublisher: Springer Science & Business Media
ISBN: 3662126788
Category : Mathematics
Languages : en
Pages : 610
Book Description
Applied Linear Algebra
Author: Peter J. OlverPublisher: Springer
ISBN: 3319910418
Category : Mathematics
Languages : en
Pages : 702
Book Description
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.
Measure, Integral and Probability
Author: Marek CapinskiPublisher: Springer Science & Business Media
ISBN: 1447136314
Category : Mathematics
Languages : en
Pages : 229
Book Description
This very well written and accessible book emphasizes the reasons for studying measure theory, which is the foundation of much of probability. By focusing on measure, many illustrative examples and applications, including a thorough discussion of standard probability distributions and densities, are opened. The book also includes many problems and their fully worked solutions.