This is an excellent classroom text on linear programming for the junior or senior undergraduate.  The text is very self-contained.  It begins with an elementary introduction to linear program, followed by a discussion of the dual problem, and ends with a discussion of game theory.

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This book discusses the advantageous sides of chaos; e.g., stochastic resonance, a mechanism through which chaos actually improves the behavior of a dynamical system.  The text is intended for researchers and graduate students.

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This text gives an introduction to Hidden Markov Models, probabilistic models which are assumed to be Markov processes.  Hidden Markov Models are known to have uses in speech recognition and handwriting recognition.  The current state of the system is not observable;  however, of the finite collection of possible states, each state yields outputs which occur with certain probabilities.

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