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Probability and Statistics for Engineering and the Sciences
Probability and Statistics for Engineering and the Sciences

This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. Proven, accurate, and lauded for its excellent examples, Probability and Statistics for Engineering and the Sciences evidences Jay Devore's reputation as an outstanding author and leader in the...

Circuit Analysis (Woodhead Publishing Series in Electronic and Optical Materials)
Circuit Analysis (Woodhead Publishing Series in Electronic and Optical Materials)

This text presents the fundamentals of circuit analysis in a way suitable for first and second year undergraduate courses in electronic or electrical engineering. It is very much a ‘theme text’ and not a work book. The author is at pains to follow the logical thread of the subject, showing that the development of topics, one from...

Matrix Algorithms, Volume I
Matrix Algorithms, Volume I
This book, Basic Decompositions, is the first volume in a projected five-volume series entitled Matrix Algorithms. The other four volumes will treat eigensystems, iterative methods for linear systems, sparse direct methods, and special topics, including fast algorithms for structured matrices.

My intended audience is the nonspecialist
...
An Introduction to Numerical Analysis
An Introduction to Numerical Analysis
This introduction to numerical analysis was written for students in mathematics, the physical sciences, and engineering, at the upper undergraduate to beginning graduate level. Prerequisites for using the text are elementary calculus, linear algebra, and an introduction to differential equations. The student's level of...
Group Theoretical Methods in Image Processing (Lecture Notes in Computer Science)
Group Theoretical Methods in Image Processing (Lecture Notes in Computer Science)

These Lecture Notes are based on a series of lectures I gave at the Linkoping University Department of Electrical Engineering in 1988. In these lectures 1 tried to give an overview of the theory of representation of compact groups and some applications in the fields of image science and pattern recognition.

The participants...

Approximate Iterative Algorithms
Approximate Iterative Algorithms

Iterative algorithms often rely on approximate evaluation techniques, which may include statistical estimation, computer simulation or functional approximation. This volume presents methods for the study of approximate iterative algorithms, providing tools for the derivation of error bounds and convergence rates, and for the optimal design of...

App Development Recipes for iOS and watchOS: A Problem-Solution Approach
App Development Recipes for iOS and watchOS: A Problem-Solution Approach
App Development Recipes for iOS and watchOS explores the technical side of app development with tips and tricks to avoid those little things that become big frustrations, outside of the realm of development, causing many people to throw up their hands and say “It’s just not worth the...
Optimization Theory and Methods: Nonlinear Programming
Optimization Theory and Methods: Nonlinear Programming

Optimization is a subject that is widely and increasingly used in science, engineering, economics, management, industry, and other areas. It deals with selecting the best of many possible decisions in real-life environment, constructing computational methods to find optimal solutions, exploring the theoretical properties, and studying...

Optimal Stochastic Control, Stochastic Target Problems, and Backward SDE (Fields Institute Monographs)
Optimal Stochastic Control, Stochastic Target Problems, and Backward SDE (Fields Institute Monographs)

​This book collects some recent developments in stochastic control theory with applications to financial mathematics. We first address standard stochastic control problems from the viewpoint of the recently developed weak dynamic programming principle. A special emphasis is put on the regularity issues and, in particular, on the behavior...

Parallel Algorithm Derivation and Program Transformation
Parallel Algorithm Derivation and Program Transformation
Transformational programming and parallel computation are two emerging fields that may ultimately depend on each other for success. Perhaps because ad hoc programming on sequential machines is so straightforward, sequential programming methodology has had little impact outside the academic community, and transformational methodology has had little...
Fluid Mechanics: An Introduction to the Theory of Fluid Flows
Fluid Mechanics: An Introduction to the Theory of Fluid Flows
Fluid mechanics is a field that spreads widely and to all fields of engineering, science and medicine. The book takes this into account and provides a sound basis.

This is a modern book on fluid mechanics that is written in a way needed these days to teach the subject to students in engineering and science at higher educational institutes. The...

Einstein in Matrix Form: Exact Derivation of the Theory of Special and General Relativity without Tensors
Einstein in Matrix Form: Exact Derivation of the Theory of Special and General Relativity without Tensors

This book is an introduction to the theories of Special and General Relativity. The target audience are physicists, engineers and applied scientists who are looking for an understandable introduction to the topic - without too much new mathematics. The fundamental equations of Einstein's theory of Special and General Relativity are...

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