From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science
by Norm Matloff
Publisher: University of California, Davis 2013
Number of pages: 486
The materials here form a textbook for a course in mathematical probability and statistics for computer science students. Computer science examples are used throughout, in areas such as: computer networks; data and text mining; computer security; remote sensing; computer performance evaluation; software engineering; data management; etc.
Home page url
Download or read it online for free here:
by Ben Klemens - Princeton University Press
The author explains how to execute computationally intensive analysis on large data sets, showing how to determine the best methods. The book will interest researchers and graduates in the social sciences, engineering, economics, and mathematics.
by Giuseppe Petrone, Giuliano Cammarata - InTech
This book collects research studies concerning modeling and simulation of physical systems in a very wide range of applications: micro-electro-mechanical systems, measurement instrumentations, catalytic reactors, biomechanical applications, etc.
This book helps you to start modeling with AnyLogic -- a multi-method simulation modeling tool that supports different modeling techniques. Topics covered: Agent-Based Modeling; System Dynamics; Discrete Event Simulation; Pedestrian Simulation.
by Cher Ming Tan - IN-TECH
This book provides the readers with the knowledge of Simulated Annealing and its applications in the various branches of engineering. We encourage readers to explore the application of Simulated Annealing in their work for the task of optimization.