Random Integral Equations With Applications To Life Sciences And Engineering By Chris P Tsokos And W J Padgett

Random Integral Equations with Applications to Life Sciences and Engineering

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression.- Best operator approximation,- Non-Lagrange interpolation,- Generic Karhunen-Loeve transform- Generalised low-rank matrix approximation- Optimal data compression- Optimal nonlinear filtering

Random Integral Equations with Applications to Life Sciences and Engineering [by] Chris P. Tsokos [and] W.J. Padgett

Systems Approach for Development

Systems Approach for Development presents articles in such topics as methodology, management and planning, education and transfer of technology, industrial application, energy, power systems, transportation and communication systems, urban systems and housing, and water resource systems. A sample of article in methodology is a simplified model approach in the hierarchical control systems. The book discusses such topics as dynamic economic models, creation of an optimum technology for olive oil production, systems prospective, types of technological forecasting techniques, and the use of a learning automata model in resource allocation problems. The optimal rate of transfer of technology is briefly analyzed and a systems approach to technological education is covered. An essay in the development of operator interface techniques is given. A section of the text provides the requirements of an ideal teaching system for microcomputers. The book will provide useful information to engineers, sociologists, economists, computer programmers, students and researchers in the field of science.