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STAGS 3: FOXES
When Greer is discharged from hospital a week before Christmas, she, Shafeen and Nel decide to investigate the De Warlencourt London residence, where they discover that the Dark Order of the Grand Stag could have infiltrated right to the heart of the British government. Meanwhile Ty, under her codename mrs_de_warlencourt, sends dispatches from Longcross. But when the De Warlencourt twins start planning a Boxing Day Hunt, fearful for Ty's safety, Greer, Shafeen and Nel race back to Longcross. Will they reach her in time - or will history horribly repeat itself . . . ?
A Guide to Experimental Algorithmics
This is a guidebook for those who want to use computational experiments to support their work in algorithm design and analysis. Numerous case studies and examples show how to apply these concepts. All the necessary concepts in computer architecture and data analysis are covered so that the book can be used by anyone who has taken a course or two in data structures and algorithms.
Innovations in Retirement Financing
From the Wharton School
Strategies for Quasi-Monte Carlo
Strategies for Quasi-Monte Carlo builds a framework to design and analyze strategies for randomized quasi-Monte Carlo (RQMC). One key to efficient simulation using RQMC is to structure problems to reveal a small set of important variables, their number being the effective dimension, while the other variables collectively are relatively insignificant. Another is smoothing. The book provides many illustrations of both keys, in particular for problems involving Poisson processes or Gaussian processes. RQMC beats grids by a huge margin. With low effective dimension, RQMC is an order-of-magnitude more efficient than standard Monte Carlo. With, in addition, certain smoothness - perhaps induced - R...
Random Number Generation and Monte Carlo Methods
Monte Carlo simulation has become one of the most important tools in all fields of science. This book surveys the basic techniques and principles of the subject, as well as general techniques useful in more complicated models and in novel settings. The emphasis throughout is on practical methods that work well in current computing environments.
A Guide to Simulation
Simulation means driving a model of a system with suitable inputs and observing the corresponding outputs. It is widely applied in engineering, in business, and in the physical and social sciences. Simulation method ology araws on computer. science, statistics, and operations research and is now sufficiently developed and coherent to be called a discipline in its own right. A course in simulation is an essential part of any operations re search or computer science program. A large fraction of applied work in these fields involves simulation; the techniques of simulation, as tools, are as fundamental as those of linear programming or compiler construction, for example. Simulation sometimes ap...
Allelujah!
- What were you in life?- In life, as you put it, I was a schoolmaster. The Beth, an old fashioned cradle-to-grave hospital serving a town on the edge of the Pennines, is threatened with closure as part of an NHS efficiency drive. As Dr Valentine and Sister Gilchrist attend to the patients, a documentary crew, eager to capture its fight for survival, follows the daily struggle to find beds on the Dusty Springfield Geriatric Ward. Meanwhile, the old people's choir, in readiness for next week's concert, is in full swing, augmented by the arrival of Mrs Maudsley, aka Pudsey Nightingale. Alan Bennett's Allelujah! opened at the Bridge Theatre, London, in July 2018. With an introduction by Alan Bennett.
Introduction to Computational Social Science
This textbook provides a comprehensive and reader-friendly introduction to the field of computational social science (CSS). Presenting a unified treatment, the text examines in detail the four key methodological approaches of automated social information extraction, social network analysis, social complexity theory, and social simulation modeling. This updated new edition has been enhanced with numerous review questions and exercises to test what has been learned, deepen understanding through problem-solving, and to practice writing code to implement ideas. Topics and features: contains more than a thousand questions and exercises, together with a list of acronyms and a glossary; examines the similarities and differences between computers and social systems; presents a focus on automated information extraction; discusses the measurement, scientific laws, and generative theories of social complexity in CSS; reviews the methodology of social simulations, covering both variable- and object-oriented models.
Research in Progress
None
Topics in Industrial Mathematics
This book is devoted to some analytical and numerical methods for analyzing industrial problems related to emerging technologies such as digital image processing, material sciences and financial derivatives affecting banking and financial institutions. Case studies are based on industrial projects given by reputable industrial organizations of Europe to the Institute of Industrial and Business Mathematics, Kaiserslautern, Germany. Mathematical methods presented in the book which are most reliable for understanding current industrial problems include Iterative Optimization Algorithms, Galerkin's Method, Finite Element Method, Boundary Element Method, Quasi-Monte Carlo Method, Wavelet Analysis, and Fractal Analysis. The Black-Scholes model of Option Pricing, which was awarded the 1997 Nobel Prize in Economics, is presented in the book. In addition, basic concepts related to modeling are incorporated in the book. Audience: The book is appropriate for a course in Industrial Mathematics for upper-level undergraduate or beginning graduate-level students of mathematics or any branch of engineering.
