Managing Information Resources

Managing Information Resources
Author: Sharon L. Caudle
Publisher: Syracuse University Press
Total Pages: 352
Release: 1989
Genre: Political Science
ISBN:

MANAGING INFORMATION RESOURCES is a comprehensive study of information resources management (IRM) practices & trends in state governments. IRM includes the management of information, information technologies, such as computers & telecommunications, & related resources. Information management areas included in the study include records management & state library services, & management functions examined in-depth were organization, planning, policy formulation, budgeting & accounting, personnel management, & procurement processes. Primary research focused on the central state office level, however case studies & surveys of agency data processing & program officials provided agency perspectives. The detailed report describes how information resources are being managed in state governments & documents the frustrations & opportunities facing state officials as they move from a focus on information technology management to a more broad view of the issues facing information management professionals in the next decade. These include issues such as integrating existing technologies, evaluating new & emerging technologies, coping with constraints in budget & human resources, developing planning processes, & implementing information resources policies statewide. Trends & directions in information resources management that require significant management attention & major accomplishments that states have made in information resources management reform are discussed.

Optimization Methods in Finance

Optimization Methods in Finance
Author: Gerard Cornuejols
Publisher: Cambridge University Press
Total Pages: 358
Release: 2006-12-21
Genre: Mathematics
ISBN: 9780521861700

Optimization models play an increasingly important role in financial decisions. This is the first textbook devoted to explaining how recent advances in optimization models, methods and software can be applied to solve problems in computational finance more efficiently and accurately. Chapters discussing the theory and efficient solution methods for all major classes of optimization problems alternate with chapters illustrating their use in modeling problems of mathematical finance. The reader is guided through topics such as volatility estimation, portfolio optimization problems and constructing an index fund, using techniques such as nonlinear optimization models, quadratic programming formulations and integer programming models respectively. The book is based on Master's courses in financial engineering and comes with worked examples, exercises and case studies. It will be welcomed by applied mathematicians, operational researchers and others who work in mathematical and computational finance and who are seeking a text for self-learning or for use with courses.