 Home | Amazing | Today | Tags | Publishers | Years | Account | Search      Transforms and Applications Primer for Engineers with Examples and MATLAB® (Electrical Engineering Primer Series) Transforms and Applications Primer for Engineers with Examples and MATLAB® is required reading for engineering and science students, professionals, and anyone working on problems involving transforms. This invaluable primer contains the most essential integral transforms that both practicing engineers...   Classical Feedback Control: With MATLAB (Automation and Control Engineering) This text describes the design and implementation of high-performance feedback controllers for engineering systems. It emphasizes the frequency-domain design and methods based on Bode integrals, loop shaping and nonlinear dynamic compensation. The book also supplies numerous problems with practcal applications, illustrations and plots, together...   An Introduction to Partial Differential Equations with MATLAB (Chapman & Hall/CRC Applied Mathematics & Nonlinear Science) An Introduction to Partial Differential Equations with MATLAB®, Second Edition illustrates the usefulness of PDEs through numerous applications and helps students appreciate the beauty of the underlying mathematics. Updated throughout, this second edition of a bestseller shows students how PDEs can...  Signal Processing for Intelligent Sensor Systems with MATLAB® (Signal Processing and Communications) Signal Processing for Intelligent Sensors with MATLAB®, Second Edition once again presents the key topics and salient information required for sensor design and application. Organized to make it accessible to engineers in school as well as those practicing in the field, this reference...   Introduction to Linear Optimization and Extensions with MATLAB® (Operations Research Series) Filling the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty, Introduction to Linear Optimization and Extensions with MATLAB® provides a concrete and intuitive yet rigorous introduction to modern linear optimization. In addition to fundamental topics,...   Electronics and Circuit Analysis Using MATLAB Useful to students, professional engineers, scientists, and technicians, Electronics and Circuit Analysis Using MATLAB provides a simple, easy-to-understand, hands-on introduction to MATLAB demonstrates the use of MATLAB for solving electronic problems outlines various ways MATLAB solves...  Correspondence Analysis and Data Coding with Java and R (Chapman & Hall/CRC Computer Science & Data Analysis) Developed by Jean-Paul Benzérci more than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. The topicality and importance of correspondence analysis continue, and with the tremendous computing power now available and new fields of application emerging, its...   Analysis of Correlated Data with SAS and R Previously known as Statistical Methods for Health Sciences, this bestselling resource is one of the first books to discuss the methodologies used for the analysis of clustered and correlated data. While the fundamental objectives of its predecessors remain the same, Analysis of Correlated Data with SAS and R, Third Edition incorporates...   Event History Analysis with R (Chapman & Hall/CRC The R Series) With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical details to a minimum, the book covers key topics, including both discrete and continuous time data, parametric proportional...  Multi-Sensor Data Fusion with MATLAB® Using MATLAB® examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF...   The Art of Modeling in Science and Engineering with Mathematica Modeling is practiced in engineering and all physical sciences. Many specialized texts exist - written at a high level - that cover this subject. However, students and even professionals often experience difficulties in setting up and solving even the simplest of models. This can be attributed to three difficulties: the proper choice of model,...   Artificial Intelligence with UncertaintyThe information deluge currently assaulting us in the 21st century is having a profound impact on our lifestyles and how we work. We must constantly separate trustworthy and required information from the massive amount of data we encounter each day. Through mathematical theories, models, and experimental computations, Artificial Intelligence with... Result Page: 102 101 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84