Random Processes
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Random Processes

The development of a theory that characterize the behavior of real-world Random Signals and Processes using standard Probability Theory.

Quantitative Information Analysis III
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Quantitative Information Analysis III

This textbook is intended for introductory statistics courses being taken by students at two– and four–year colleges who are majoring in fields other than math or engineering.The book focuses on applications of statistical knowledge rather than the theory behind it.

Basic Mathematics
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Basic Mathematics

The rationale of teaching Basic mathematics is that it plays the role of filling up gaps that the student teacher could be having from secondary school mathematics.

Applications of Recurrent Neural Networks to Optimization Problems
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Applications of Recurrent Neural Networks to Optimization Problems

A brief insight on applications of recurrent neural networks to general optimization problems in diverse fields such as mechanical, electrical and industrial engineering, operational research, management sciences, computer sciences, system analysis, economics, medical sciences, manufacturing, social and public planning and image processing.

Greedy Type Bases in Banach Spaces
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Greedy Type Bases in Banach Spaces

The application of Greedy Type Bases to a vector space with a metric that allows the computation of vector length and distance between vectors that a Cauchy sequence of vectors always converges to a well defined limit in the space.

Introduction to Statistics
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Introduction to Statistics

This course is a short series of lectures on Introductory Statistics. Topics covered are listed in the Table of Contents. The notes were prepared by Ewa Paszek and Marek Kimmel. The development of this course has been supported by NSF 0203396 grant.

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