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Everything you ever wanted to know about starting out (or over) on a shoestring. This book covers everything from clothing and personal items to furniture, appliances and transportation with everything in-between.
The author draws from personal experience to show others that you CAN start out (or over) with very little and you CAN make a success of the endeavor. You don't have to suffer, but you do have to have certain basic items. This book takes the guesswork out of what you will need.
Jane Cabrera s boldly colored rendition of a favorite rhyme gets an ecofriendly spin. This old woman and her household of high-spirited children and talented pets are resourceful. Together they repair their broken furniture, find alternative modes of transportation when the car breaks down and remake worn clothing with colorful patches. Sheet music for piano, voice and guitar are included in the book."
Hybrid Predictive Control for Dynamic Transport Problems develops methods for the design of predictive control strategies for nonlinear-dynamic hybrid discrete-/continuous-variable systems. The methodology is designed for real-time applications, particularly the study of dynamic transport systems. Operational and service policies are considered, as well as cost reduction. The control structure is based on a sound definition of the key variables and their evolution. A flexible objective function able to capture the predictive behaviour of the system variables is described. Coupled with efficient algorithms, mainly drawn from area of computational intelligence, this is shown to optimize performance indices for real-time applications. The framework of the proposed predictive control methodology is generic and, being able to solve nonlinear mixed integer optimization problems dynamically, is readily extendable to other industrial processes. The main topics of this book are: * hybrid predictive control (HPC) design based on evolutionary multiobjective optimization (EMO); * HPC based on EMO for dial-a-ride systems; and * HPC based on EMO for operational decisions in public transport systems. Hybrid Predictive Control for Dynamic Transport Problems is a comprehensive analysis of HPC and its application to dynamic transport systems. Introductory material on evolutionary algorithms is presented in summary in an appendix. The text will be of interest to control and transport engineers working on the operational optimization of transport systems and to academic researchers working with hybrid systems. The potential applications of the generic methods presented here to other process fields will make the book of interest to a wider group of researchers, scientists and graduate students working in other control-related disciplines.
A collection of fiction, memoir, and poetry on the theme of a single shoe.
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