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John Dee: Interdisciplinary Studies in English Renaissance Thought

Intellectual History and the Identity of John Dee In April 1995, at Birkbeck College, University of London, an interdisciplinary colloquium was held so that scholars from diverse fields and areas of expertise could 1 exchange views on the life and work of John Dee. Working in a variety of fields – intellectual history, history of navigation, history of medicine, history of science, history of mathematics, bibliography and manuscript studies – we had all been drawn to Dee by particular aspects of his work, and participating in the colloquium was to c- front other narratives about Dee’s career: an experience which was both bewildering and instructive. Perhaps more than any other intellectual figure of the English Renaissance Dee has been fragmented and dispersed across numerous disciplines, and the various attempts to re-integrate his multiplied image by reference to a particular world-view or philosophical outlook have failed to bring him into focus. This volume records the diversity of scholarly approaches to John Dee which have emerged since the synthetic accounts of I. R. F. Calder, Frances Yates and Peter French. If these approaches have not succeeded in resolving the problematic multiplicity of Dee’s activities, they will at least deepen our understanding of specific and local areas of his intellectual life, and render them more historiographically legible.

John Dee, Thomas Digges and the Identity of the Mathematician In early 1573
two English mathematical books were being prepared for the press. Though
produced by different printers they were issued as a pair and today are usually
found ...

Linear Programming Duality

An Introduction to Oriented Matroids

Chapter 7 Basic Facts in Polyhedral Theory As we have seen, oriented matroids
provide a natural way to study linear programming in an abstract setting. A major
second field of “application” is to study the structure of polyhedra in the general ...

Stochastic Linear Programming

Models, Theory, and Computation

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 ...

Linear Programming 1

Introduction

Encompassing all the major topics students will encounter in courses on the subject, the authors teach both the underlying mathematical foundations and how these ideas are implemented in practice. They illustrate all the concepts with both worked examples and plenty of exercises, and, in addition, provide software so that students can try out numerical methods and so hone their skills in interpreting the results. As a result, this will make an ideal textbook for all those coming to the subject for the first time. Authors' note: A problem recently found with the software is due to a bug in Formula One, the third party commercial software package that was used for the development of the interface. It occurs when the date, currency, etc. format is set to a non-United States version. Please try setting your computer date/currency option to the United States option . The new version of Formula One, when ready, will be posted on WWW.

Linear programming and its generalization, mathematical programming, can be
viewed as part of a great revolutionary development that has given mankind the
ability to state general goals and lay out a path of detailed decisions to be taken
in ...

Linear Programming in Industry

Theory and Applications. An Introduction

The present volume is intended to serve a twofold purpose. First, it provides a university text of Linear Programming for students of economics or operations research interested in the theory of production and cost and its practical applications; secondly, it is the author's hope that engineers, business executives, managers, and others responsible for the organization and planning of industrial operations may find the book useful as an introduction to Linear Programming methods and techniques. Despite the different backgrounds of these categories of potential readerR, their respective fields overlap to a considerable extent; both are concerned with economic optimization problems, and the use of Linear Programming to problems of production planning is simply applied theory of production. The non-economist reader may, but should not, pass over Chapter IV in which the linear production model is linked up with the economic theory of production. Without being an advanced text, the book aims at covering enough ground to make the reader capable of detecting, formulating, and solving such linear planning problems as he may encounter within his particular field. No heavy demands are made on the reader's mathematical profi ciency; except for the proofs in the Appendix-which may be skipped if desired-the mathematical exposition is purely elementary, involving only simple linear relations. In the author's experience, the pedagogical advantages of thi;:; approach, as compared with the use of matrix algebra, amply justify the sacrifice of mathematical elegance and typographical simplicity, particularly in explaining the simplex method.

The present volume is intended to serve a twofold purpose.

Linear Programming

To this reviewer’s knowledge, this is the first book accessible to the upper division undergraduate or beginning graduate student that surveys linear programming.... Style is informal. ...Recommended highly for acquisition, since it is not only a textbook, but can also be used for independent reading and study. —Choice Reviews This is a textbook intended for advanced undergraduate or graduate students. It contains both theory and computational practice. —Zentralblatt Math

To this reviewer’s knowledge, this is the first book accessible to the upper division undergraduate or beginning graduate student that surveys linear programming.

Linear Programming and its Applications

In the pages of this text readers will find nothing less than a unified treatment of linear programming. Without sacrificing mathematical rigor, the main emphasis of the book is on models and applications. The most important classes of problems are surveyed and presented by means of mathematical formulations, followed by solution methods and a discussion of a variety of "what-if" scenarios. Non-simplex based solution methods and newer developments such as interior point methods are covered.

In the pages of this text readers will find nothing less than a unified treatment of linear programming. Without sacrificing mathematical rigor, the main emphasis of the book is on models and applications.

Understanding and Using Linear Programming

The book is an introductory textbook mainly for students of computer science and mathematics. Our guiding phrase is "what every theoretical computer scientist should know about linear programming". A major focus is on applications of linear programming, both in practice and in theory. The book is concise, but at the same time, the main results are covered with complete proofs and in sufficient detail, ready for presentation in class. The book does not require more prerequisites than basic linear algebra, which is summarized in an appendix. One of its main goals is to help the reader to see linear programming "behind the scenes".

In Section 2.7 we encountered a situation in which among all feasible so- lutions
of a linear program, only those with all components integral are of interest in the
practical application. A similar situation occurs quite often in attempts to apply ...

Linear Programming

Foundations and Extensions

This Third Edition introduces the latest theory and applications in optimization. It emphasizes constrained optimization, beginning with linear programming and then proceeding to convex analysis, network flows, integer programming, quadratic programming, and convex optimization. You’ll discover a host of practical business applications as well as non-business applications. With its focus on solving practical problems, the book features free C programs to implement the major algorithms covered. The book’s accompanying website includes the C programs, JAVA tools, and new online instructional tools and exercises.

In this chapter, we shall study an application of linear programming to an area of
statistics called regression. As a specific example, we shall use size and iteration
- count data collected from a standard suite of linear programming problems to ...

Logic-Based Program Synthesis and Transformation

9th International Workshop, LOPSTR'99, Venice, Italy, September 22-24, 1999 Selected Papers

This volume contains the proceedings of the ninth international workshop on logic-based program synthesis and transformation (LOPSTR’99) which was held in Venice (Italy), September 22-24, 1999. LOPSTRistheannualworkshopandforumforresearchersinthelogic-based program development stream of computational logic. The main focus used to be on synthesis and transformation of logic programs, but the workshop is open to contributions on logic-based program development in any paradigm. Previous workshops were held in Manchester, UK (1991, 1992), Louvain-la-Neuve, B- gium (1993), Pisa, Italy (1994), Arnhem, The Netherlands (1995), Stockholm, Sweden (1996), Leuven, Belgium (1997), and Manchester, UK (1998). LOPSTR is a real workshop in the sense that it is a friendly and lively forum for presenting recent and current research as well as discussing future trends. Formal proceedings of the workshop are produced only after the workshop and contain only those papers selected by the program committee after a second refereeing process. The program committee of LOPSTR’99 accepted 20 extended abstracts for presentation at the workshop; then selected 14 papers for inclusion in the po- workshop proceedings. Selected papers cover all the main streams of LOPSTR’s topics: synthesis, specialization, transformation, analysis, and veri?cation. Ve- ?cation, transformation, and specialization methods are applied to functional, constraint, logic, and imperative programming.

There are several kinds of temporal logic, the most used in model-checking being
PLTL (Propositional Linear Temporal Logic) [37], CTL (Computation Tree Logic) [
8] and the mu-calculus [32]. Reachability analysis is a variant of ...