David Joyner and Marshall Hampton’s lucid textbook explains differential equations using the free and open-source mathematical software Sage. Since its release in 2005, Sage has acquired a substantial following among mathematicians, but its first user was Joyner, who is credited with helping famed mathematician William Stein turn the program into a usable and popular choice. Introduction to Differential Equations Using Sage extends Stein's work by creating a classroom tool that allows both differential equations and Sage to be taught concurrently. It’s a creative and forward-thinking approach to math instruction. Topics include: • First-Order Differential Equations • Incorporation of Newtonian Mechanics• Second-Order Differential Equations• The Annihilator Method• Using Linear Algebra with Differential Equations• Nonlinear Systems• Partial Differential Equations• Romeo and Juliet
Introduction to Differential Equations Using Sage extends Stein's work by creating a classroom tool that allows both differential equations and Sage to be taught concurrently.
This concise guide covers the important angles of your grant application, whether for a health research project or personal training programme, and will help you be among the successful applicants. The author, a reviewer for grant funding organisations and internationally respected research scientist, gives you the benefit of his experience from both sides of the process in this easy-to-use, readable guide. The book takes you through the grant application process, explaining how to: Present the justification for the proposed project Describe the study design clearly Estimate the financial costs Understand a typical review process, and how this can influence the contents of the grant application The author provides practical advice on a range of project types (observational studies, clinical trials, laboratory experiments, and systematic reviews) to increase the chance that your application will be successful. There are also tips on what to avoid throughout the application. With generic information about application requirements, How to Write a Grant Application is ideal for healthcare professionals seeking a health services or scientific grant.
This volume presents commissioned essays on important, but often neglected. English and Irish economists of the 18th and 19th centuries. Notable chapters include Samuel Hollander's extended essay on Samuel Bailey that complements his magisterial reassessement of the classical economists and John Pullen's assessment of John Cazenove's analysis of Say's Law and bank credit. These are but two members of a brave army of heretics and subversives who could most admirably be summed up in Keynes' words as those `who following their intuitions, have preferred to see truth obscurely and imperfectly rather than to maintain error'. This volume aims to bring much needed attention to those forgotten political economists who helped to shape the development of economic theory and policy.
James P. Henderson The efforts to develop the history of mathematical
economics in Britain date back to William Stanley Jevons who prepared a 'List of
Mathematico- Economic Books, Memoirs, and Other Published Writings'. He
published ...
This book is a guide for all teachers in the FE and Skills Sector, regardless of their discipline. It explores how FE teachers can address the mathematics and English needs of all learners, to redress the skills gap that is a current focus. The text explores what works in the sector, examining the barriers to learning and how all learners can be included. It takes a focused look at what works for the vocational learners who have not succeeded in a school setting, and helps tackle the problem of low motivation in learners. The text goes beyond simply providing strategies to follow and includes background theory and detailed case studies to enhance your understanding of different approaches.
Peter Kall and János Mayer are distinguished scholars and professors of Operations Research and their research interest is particularly devoted to the area of stochastic optimization. Stochastic Linear Programming is a definitive presentation and discussion of the theoretical properties of the models, the conceptual algorithmic approaches, and the computational issues relating to the implementation of these methods to solve problems that are stochastic in nature.
From this short sketch of the subject called SLP, which is by far not complete with
respect to the various special problem formulations to be dealt with, we may
already conclude that a basic toolkit of linear and nonlinear programming
methods ...
