Engineering Computations and Modeling in MATLAB®/Simulink®
by Oleg A. Yakimenko
Engineering Computations and Modeling in MATLAB®/Simulink®, Second Edition provides a broad overview of The MathWorks’ MATLAB®/Simulink®/GUIDE/App Designer development and modeling environment. This textbook shows how to use these software tools effectively in a variety of engineering applications, including modeling real-world dynamic systems. This book is used as a textbook by undergraduate and graduate students taking both introductory and advanced courses in applied programming, and also as...
Sets, Logic and Maths for Computing (Undergraduate Topics in Computer Science)
by David Makinson
This book equips the student with essential intellectual tools that are needed from the very beginning of university studies in computing. These consist of abilities and skills - to pass from a concrete problem to an abstract representation, reason with the abstract structure coherently and usefully, and return with booty to the specific situation. The most basic and useful concepts needed come from the worlds of sets (with also their employment as relations and functions), structures (notably t...
Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world behavior. Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patterns-from find...
Mathematical Knowledge Management (Lecture Notes in Computer Science, #3119)
This volume contains the proceedings of theSecondInternationalConferenceon MathematicalKnowledgeManagement (MKM 2003), held 16-18 February 2003 in Bertinoro, Italy. Mathematical Knowledge Management is an exciting new ?eld at the int- section between mathematics and computer science. We need e?cient, new te- niques, based on sophisticated formal mathematics and software technology, to exploit the enormous knowledge available in current mathematical sources and to organize mathematical knowledge...
Pricing derivatives theory comes alive in this self-contained interactive experience in financial pricing. The no-arbitrage perspective in a one-period state-preference model drives the book, and the Maple (R) and Matlab (R) programs help readers visualize payoffs and respond to various constraints and conditions. With clear explanations and lavish illustrations, Pricing Derivative Securities: An Interactive, Dynamic Environment with Maple V and Matlab teaches the core theoretical concepts so of...
Applied Statistics and Data Science (Springer Proceedings in Mathematics & Statistics, #375)
This proceedings volume features top contributions in modern statistical methods from Statistics 2021 Canada, the 6th Annual Canadian Conference in Applied Statistics, held virtually on July 15-18, 2021. Papers are contributed from established and emerging scholars, covering cutting-edge and contemporary innovative techniques in statistics and data science. Major areas of contribution include Bayesian statistics; computational statistics; data science; semi-parametric regression; and stochastic...
Whether you're a student or practicing researcher, STATISTICS WITH STATA opens the door to the full use of the popular STATA program -a fast, flexible, and easy-to-use environment for data management and statistics analysis. Integrating STATA's impressive graphics, this comprehensive book presents hundreds of examples showing how you can apply Stata to accomplish a wide variety of tasks. Like STATA itself, STATISTICS WITH STATA will make it easier for you to move fluidly through the world of mod...
Multiple Time Series Modeling Using the SAS Varmax Procedure
by Anders Milhoj
Authors Thomas Pavkov and Kent Pierce have created a unique workbook/handbook to guide students through SPSS 11.0 for Windows.
Knowledge Discovery in Databases (Lecture Notes in Computer Science, #4213) (Lecture Notes in Artificial Intelligence, #4213)
by Johannes Furnkranz
This book constitutes the refereed proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2006. The book presents 36 revised full papers and 26 revised short papers together with abstracts of 5 invited talks, carefully reviewed and selected from 564 papers submitted. The papers offer a wealth of new results in knowledge discovery in databases and address all current issues in the area.
Computational Electronics (Synthesis Lectures on Computational Electromagnetics)
by Dragica Vasileska and Professor Stephen M Goodnick
The second edition of this popular guide demonstrates the process of entering and analyzing data using the latest version of SPSS (12.0), and is also appropriate for those using earlier versions of SPSS. The book is easy to follow because all procedures are outlined in a step-by-step format designed for the novice user. Students are introduced to the rationale of statistical tests and detailed explanations of results are given through clearly annotated examples of SPSS output. Topics covered ran...
This book is an excellent supplement to any introductory statistics course. Doing Data Analysis with SPSS 10.0 by Robert H. Carver and Jane Gradwohl Nash provides a practical and useful introduction to SPSS 10.0. It enables students to work independently to learn the software skills outside of class, while coming to understand the underlying statistical concepts and techniques.
Pattern Recognition with Support Vector Machines (Lecture Notes in Computer Science, #2388)
With their introduction in 1995, Support Vector Machines (SVMs) marked the beginningofanewerainthelearningfromexamplesparadigm.Rootedinthe Statistical Learning Theory developed by Vladimir Vapnik at AT&T, SVMs quickly gained attention from the pattern recognition community due to a n- beroftheoreticalandcomputationalmerits.Theseinclude,forexample,the simple geometrical interpretation of the margin, uniqueness of the solution, s- tistical robustness of the loss function, modularity of the kernel...
Business Objects: The Complete Reference (Osborne Complete Reference)
by Cindi Howson
If your objective in business intelligence reporting is Business Objects success, this is the resource for you. Gives a thorough run-down of the software, plus coverage of Web intelligence, complex queries, multidimensional analysis, and more. Author Cindi Howson has plenty of hands-on experience with the product.
Essential Statistics Using SAS University Edition
by Geoff Der and Brian S Everitt
MACHINE LEARNING with MATLAB. SUPERVISED LEARNING and REGRESSION
by C Perez
Concise Guide to Software Engineering (Undergraduate Topics in Computer Science)
by Gerard O'Regan
This essential textbook presents a concise introduction to the fundamental principles of software engineering, together with practical guidance on how to apply the theory in a real-world, industrial environment. The wide-ranging coverage encompasses all areas of software design, management, and quality.Topics and features: presents a broad overview of software engineering, including software lifecycles and phases in software development, and project management for software engineering; examines...