This book contains five theses in analysis, by A C Gilbert, N Saito, W Schlag, T Tao and C M Thiele. It covers a broad spectrum of modern harmonic analysis, from Littlewood-Paley theory (wavelets) to subtle interactions of geometry and Fourier oscillations. The common theme of the theses involves intricate local Fourier (or multiscale) decompositions of functions and operators to account for cumulative properties involving size or structure.

This book constitutes the proceedings of the 21st International Conference on Discovery Science, DS 2018, held in Limassol, Cyprus, in October 2018, co-located with the International Symposium on Methodologies for Intelligent Systems, ISMIS 2018. The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 71 submissions. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. The papers are organized in the following topical sections: Classification; meta-learning; reinforcement learning; streams and time series; subgroup and subgraph discovery; text mining; and applications.

"Beyond Wavelets" presents state-of-the-art theories, methods, algorithms, and applications of mathematical extensions for classical wavelet analysis. Wavelets, introduced 20 years ago by Morlet and Grossmann and developed very rapidly during the 1980's and 1990's, has created a common link between computational mathematics and other disciplines of science and engineering. Classical wavelets have provided effective and efficient mathematical tools for time-frequency analysis which enhances and replaces the Fourier approach. However, with the current advances in science and technology, there is an immediate need to extend wavelet mathematical tools as well. "Beyond Wavelets" presents a list of ideas and mathematical foundations for such extensions, including: continuous and digital ridgelets, brushlets, steerable wavelet packets, contourlets, eno-wavelets, spline-wavelet frames, and quasi-affine wavelets. Wavelet subband algorithms are extended to pyramidal directional and nonuniform filter banks. In addition, this volume includes a method for tomographic reconstruction using a mechanical image model and a statistical study for independent adaptive signal representation. Investigators already familiar with wavelet methods from areas such as engineering, statistics, and mathematics will benefit by owning this volume. *Curvelets, Contourlets, Ridgelets, *Digital Implementation of Ridgelet Packets *Steerable Wavelet Packets *Essentially Non-Oscillatory Wavelets *Medical Imaging *Non-Uniform Filter Banks *Spline-wavelet frames and *Vanishing Moment Recovery Functions

This thesis studies the general heat conduction law, irreversible thermodynamics and the size effect of thermal conductivity exhibited in nanosystems from the perspective of recently developed thermomass theory. The derivation bridges the microscopic phonon Boltzmann equation and macroscopic continuum mechanics. Key concepts such as entropy production, temperature and the Onsager reciprocal relation are revisited in the case of non-Fourier heat conduction. Lastly, useful expressions are extracted from the picture of phonon gas dynamics and are used to successfully predict effective thermal conductivity in nanosystems.

As a built environment student you are likely to be required toresearch, write and submit a dissertation as a core component ofyour degree studies. As a vocational profession, students of thebuilt environment often have strong practical aspirations.Writing a Built Environment Dissertation provides practicalguidance and will help to steer you into a position where you candevelop a good dissertation by mixing your practical strengths withmore theoretical tools. The book is ordered around a common dissertation structure: thatis, it starts with material that should be in the introduction andfinishes with material that should be in the conclusion. Eachchapter provides a commentary on the kind of information that youshould put in each chapter of your dissertation, supported by avariety of examples using a range of methodological designs. Thebook has a strong focus on data collection, data analysis,reliability and validity – all areas where studentdissertations are often weak. Material that will help you thinkabout study skills and ethics is embedded throughout the book, andthe chapters on qualitative and quantitative analysis will show youhow to carry out a rigorous analysis while avoiding some of thecomplexity in statistical work. If you are an under-graduate student in the final year of anhonours degree programme in the built environment, or perhaps astudent at masters or PhD level and have been away from academicstudy for some time, then this book will help you to write a moreinnovative and thorough dissertation.

The book guides the student through the research process relevant to the completion of a social work dissertation, examining the process of both empirical and literature based dissertations, highlighting potential obstacles, essential techniques and methods involved in research.

Each number is the catalogue of a specific school or college of the University.