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Atomistic Computer Simulations
RRP $241.99
Many books explain the theory of atomistic computer simulations; this book teaches you how to run them
This introductory "how to" title enables readers to understand, plan, run, and analyze their own independent atomistic simulations, and decide which method to use and which questions to ask in their research project. It is written in a clear and precise language, focusing on a thorough understanding of the concepts behind the equations and how these are used in the simulations. As a result, readers will learn how to design the computational model and which parameters of the simulations are essential, as well as being able to assess whether the results are correct, find and correct errors, and extract the relevant information from the results. Finally, they will know which information needs to be included in their publications.
This book includes checklists for planning projects, analyzing output files, and for troubleshooting, as well as pseudo keywords and case studies.
The authors provide an accompanying blog for the book with worked examples, and additional material and references: http://www.atomisticsimulations.org/.
Multivariable Computer-controlled Systems
RRP $27.99
The transfer function approach is widely used in classical control theory for its easy handling and physical meaning. Although the use of transfer functions is well-established for linear time-invariant systems, it is not suitable for non-stationary systems among which are sampled-data systems and processes with periodically varying coefficients. Computer-controlled continuous-time processes are a very important subset of periodic sampled-data systems which are not treatable using ordinary transfer functions.
Having established the ability of the parametric transfer function to solve this problem for single-input, single-output systems in previous work, the authors extend these methods, which incorporate time-dependence, to the idea of the parametric transfer matrix in a complete exposition of analysis and design methods for multiple-input, multiple-output (MIMO) sampled-data systems.
Multivariable Computer-controlled Systems is divided into three parts:
- Preliminary algebraic material describing the established fundamentals of polynomial and rational matrices necessary for the understanding of later chapters.
- Control problems, important in their own right but which also have a substantial bearing on what follows (eigenvalue assignment and the use of z- and zeta-transforms in discrete systems).
- Frequency methods for the investigation of MIMO sampled-data systems (parametric discrete-time models; stability; stochastic methods; H2 optimization and L2 design).
Appendices covering basic mathematical formulae and the description of two MATLAB(r) toolboxes round out this self-contained guide to multivariable control systems.
Of special interest to researchers in automatic control and to development engineers working with advanced control technology, Multivariable Computer-controlled Systems will also interest mathematical control theorists and graduate students studying advanced methods of computer-based control.
Stochastic Analysis Of Computer Storage
RRP $119.00
Approach your problems from the right end It isn't that they can't see the solution. It is and begin with the answers. Then one day, that they can't see the problem. perhaps you will find the final question. G. K. Chesterton. The Scandal of Fother 'The Hennit Clad in Crane Feathers' in R. Brown 'The point of a Pin'. van GWs The Chinese More Murders. Growing specialization and diversification have brought a host of monographs and textbooks on increasingly specialized topics. However, the "tree" of knowledge of mathematics and related fields does not grow only by putting forth new branches. It also happens, quite often in fact, that branches which were thought to be completely disparate are suddenly seen to be related. Further, the kind and level of sophistication of mathematics applied in various sciences has changed drastically in recent years: measure theory is used (non-trivially) in regional and theoretical economics; algebraic geometry interacts with physics; the Minkowsky lemma, coding theory and the structure of water meet one another in packing and covering theory; quantum fields, crystal defects and mathematical programming profit from homotopy theory; Lie algebras are relevant to filtering; and prediction and electrical engineering can use Stein spaces. And in addition to this there are such new emerging subdisciplines as "experimental mathematics", "CFD", "completely integrable systems", "chaos, synergetics and large-scale order", which are almost impossible to fit into the existing classification schemes. They draw upon widely different sections of mathematics.
RRP $13.99
This small but mighty collection will trigger your memory with fun facts you learned in school-from adverbs to the Pythagorean Theorem. Witty, engaging, entertaining-a book you'll pick up again and again.
Here is a light-hearted and informative reminder of the many things we learned at school that have since been lost over time. Author Caroline Taggart discovered two things while researching this book and talking with other people. One, everybody had been to school. And two, they had all forgotten entirely different things. Here, in this handy little book, are the facts that you learned in school but may not remember completely or accurately. Covering subjects such as English Language, English Literature, Mathematics, Modern Languages, Biology, Chemistry, Physics, History, Geography, Religion, and Music, it will feature all the most important facts, theories, equations, phrases and rules we were taught all those years ago. You can discover:
Mathematics: How to work out a quadratic equation
History: That the first president to occupy the White House was John Adams in 1800
Geography: The capital of Chile and the modern name of Nyasaland
Religion: The seven deadly sins and the names of the twelve apostles
Literature: Which Shakespearean play The Quality of Mercy Speech appears.
The information will be presented in bite-sized chunks and in a self-motivated way, but it will be accurate and up-to-date. It will touch a chord with anyone old enough to have forgotten half of what they learned at school. Here is a perfect gift for every perennial student.
Data Organization In Parallel Computers
RRP $546.99
The organization of data is clearly of great importance in the design of high performance algorithms and architectures. Although there are several landmark papers on this subject, no comprehensive treatment has appeared. This monograph is intended to fill that gap. We introduce a model of computation for parallel computer architec- tures, by which we are able to express the intrinsic complexity of data or- ganization for specific architectures. We apply this model of computation to several existing parallel computer architectures, e.g., the CDC 205 and CRAY vector-computers, and the MPP binary array processor. The study of data organization in parallel computations was introduced as early as 1970. During the development of the ILLIAC IV system there was a need for a theory of possible data arrangements in interleaved mem- ory systems. The resulting theory dealt primarily with storage schemes also called skewing schemes for 2-dimensional matrices, i.e., mappings from a- dimensional array to a number of memory banks. By means of the model of computation we are able to apply the theory of skewing schemes to var- ious kinds of parallel computer architectures. This results in a number of consequences for both the design of parallel computer architectures and for applications of parallel processing.
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