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This book is an introduction to the field of multi-way analysis for chemists and chemometricians. Its emphasis is on the ideas behind the method and its pratical applications. Sufficient mathematical background is given to provide a solid understanding of the ideas behind the method. There are currently no other books on the market which deal with this method from the viewpoint of its applications in chemistry. Applicable in many areas of chemistry. No comparable volume currently available. The field is becoming increasingly important.
The majority of modern instruments are computerised and provide incredible amounts of data. Methods that take advantage of the flood of data are now available; importantly they do not emulate 'graph paper analyses' on the computer. Modern computational methods are able to give us insights into data, but analysis or data fitting in chemistry requires the quantitative understanding of chemical processes. The results of this analysis allows the modelling and prediction of processes under new conditions, therefore saving on extensive experimentation. Practical Data Analysis in Chemistry exemplifies every aspect of theory applicable to data analysis using a short program in a Matlab or Excel spre...
This book is loaded with examples in which computer scientists and engineers have used evolutionary computation - programs that mimic natural evolution - to solve many real-world problems. They aren’t abstract, mathematically intensive papers, but accounts of solving important problems, including tips from the authors on how to avoid common pitfalls, maximize the effectiveness and efficiency of the search process, and many other practical suggestions.
An outstanding practical guide to the most common chemometric methods in use today Chemometrics explains how to apply the most widely used pattern recognition and multivariate calibration techniques to solve data analysis problems. This practical guide describes all key methods in terms of processes and applications in order to help the reader easily identify the best technique for a given situation. Drawing on years of industrial experience with chemometric tools, the authors share their six basic steps, or "habits," for achieving reliable chemometric results, and cover key areas such as: * Defining and understanding the problem * Experimental planning and design * Preprocessing of samples and variables * Supervised and unsupervised pattern recognition * Classical and inverse methods of multivariate calibration Complete with helpful chapter-end summaries, technical references, and more, this book is an invaluable hands-on resource for analytical chemists and laboratory scientists who use chemometrics in their work.
Computational chemistry is increasingly used in most areas of molecular science including organic, inorganic, medicinal, biological, physical, and analytical chemistry. Researchers in these fields who do molecular modelling need to understand and stay current with recent developments. This volume, like those prior to it, features chapters by experts in various fields of computational chemistry. Two chapters focus on molecular docking, one of which relates to drug discovery and cheminformatics and the other to proteomics. In addition, this volume contains tutorials on spin-orbit coupling and cellular automata modeling, as well as an extensive bibliography of computational chemistry books. FRO...
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