Engineering Computation With MATLAB

This textbook is ideal for MATLAB/Introduction to Programming courses in both Engineering and Computer Science departments.Engineering Computation with MATLAB introduces the power of computing to engi

This invaluable second edition provides more in-depth discussions and examples in various chapters. Based largely on the authors' own in-class lectures as well as researchers in the area, the comprehe

This invaluable second edition provides more in-depth discussions and examples in various chapters. Based largely on the authors' own in-class lectures as well as researchers in the area, the comprehe

Problem Solving in Chemical and Biochemical Engineering with POLYMATH?, Excel, and MATLABR, Second Edition , is a valuable resource and companion that integrates the use of numerical problem solving i

Designed for a three-hour semester course on signals and systems, this textbook presents continuous-time and discrete-time signals and systems to electrical and computer engineering students in a mann

Presents mathematical techniques for applications in engineering, physics, and applied mathematics. The major topics are vector and matrix algebra, differential equations, Fourier and Laplace analysi

What are the principles behind intelligent systems? How are they built? What are intelligent systems useful for? How do we choose the right tool for the job? These questions are answered by Michael Negnevitsky’s Artificial Intelligence: A Guide to Intelligent Systems.Unlike many books on computer intelligence, which use complex computer science terminology and are crowded with complex matrix algebra and differential equations, this text demonstrates that the ideas behind intelligent systems are simple and straightforward. This text assumes little or no programming experience as it tackles topics like expert systems, fuzzy systems, artificial neural networks, evolutionary computation, knowledge engineering, and data mining.TABLE OF CONTENTS1. Introduction to Intelligent Systems 1.1 Intelligent Machines, or What Machines Can Do 1.2 The History of Artificial Intelligence, or From the ‘Dark Ages’ to Knowledge-based Systems 1.3 Generative AI 1.4 Summary Questions fo

Computational Geomechanics:* introduces the full theory of dynamic and static behaviour of porous media and shows how computation can predict the deformations of a structure, subject to an earthquake