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Mathematical Methods in Image Reconstruction (Monographs on Mathematical Modeling and Computation)
Mathematical Methods in Image Reconstruction (Monographs on Mathematical Modeling and Computation)

Since the advent of computerized tomography in radiology, many imaging techniques have been introduced in medicine, science, and technology. This book describes the state of the art of the mathematical theory and numerical analysis of imaging. The authors survey and provide a unified view of imaging techniques, provide the necessary...

Computability and Complexity Theory (Texts in Computer Science)
Computability and Complexity Theory (Texts in Computer Science)

This revised and extensively expanded edition of Computability and Complexity Theory comprises essential materials that are core knowledge in the theory of computation. The book is self-contained, with a preliminary chapter describing key mathematical concepts and notations.  Subsequent chapters move from the qualitative aspects of...

Numerical Methods of Mathematics Implemented in Fortran (Forum for Interdisciplinary Mathematics)
Numerical Methods of Mathematics Implemented in Fortran (Forum for Interdisciplinary Mathematics)
This book systematically classifies the mathematical formalisms of computational models that are required for solving problems in mathematics, engineering and various other disciplines. It also provides numerical methods for solving these problems using suitable algorithms and for writing computer codes to find solutions. For discrete...
Quantum Computer Science (Synthesis Lectures on Quantum Computing)
Quantum Computer Science (Synthesis Lectures on Quantum Computing)
In this text we present a technical overview of the emerging field of quantum computation along with new research results by the authors. What distinguishes our presentation from that of others is our focus on the relationship between quantum computation and computer science. Specifically, our emphasis is on the computational model of quantum...
Principles of Compilers: A New Approach to Compilers Including the Algebraic Method
Principles of Compilers: A New Approach to Compilers Including the Algebraic Method

The compiler is one of the most important aspects of system software. When any computer user develops a computer program, one must use some programming language, rather than using a computer instruction set. This implies that there must be the compiler of the programming language that has been installed on the computer one uses, and...

Computer Science: The Hardware, Software and Heart of It
Computer Science: The Hardware, Software and Heart of It

Computer Science: The Hardware, Software and Heart of It focuses on the deeper aspects of the two recognized subdivisions of Computer Science, Software and Hardware. These subdivisions are shown to be closely interrelated as a result of the stored-program concept. Computer Science: The Hardware, Software and Heart of It includes certain...

MATLAB with Applications to Engineering, Physics and Finance
MATLAB with Applications to Engineering, Physics and Finance

Master the tools of MATLAB through hands-on examples
Shows How to Solve Math Problems Using MATLAB

The mathematical software MATLAB® integrates computation, visualization, and programming to produce a powerful tool for a number of different tasks in mathematics. Focusing on the...

Quantum Computing: A Gentle Introduction (Scientific and Engineering Computation)
Quantum Computing: A Gentle Introduction (Scientific and Engineering Computation)

The combination of two of the twentieth century's most influential and revolutionary scientific theories, information theory and quantum mechanics, gave rise to a radically new view of computing and information. Quantum information processing explores the implications of using quantum mechanics instead of classical mechanics to model...

TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects...

A Concise Introduction to Languages and Machines (Undergraduate Topics in Computer Science)
A Concise Introduction to Languages and Machines (Undergraduate Topics in Computer Science)

This book focuses on key theoretical topics of computing, in particular formal languages and abstract machines. It is intended primarily to support the theoretical modules on a computer science or computing-related undergraduate degree scheme.

Though the book is primarily theoretical in nature, it attempts to avoid the...

Applied and Numerical Partial Differential Equations: Scientific Computing in Simulation, Optimization and Control in a Multidisciplinary Context
Applied and Numerical Partial Differential Equations: Scientific Computing in Simulation, Optimization and Control in a Multidisciplinary Context
The present volume is comprised of contributions solicited from invitees to conferences held at the University of Houston, University of Jyvaskyla, and XT an Jiaotong University honoring the 70th birthday of Professor Roland Glowinski. Although scientists convened on three different continents, the editors prefer to view the meetings as...
Quantum Computer Science: An Introduction
Quantum Computer Science: An Introduction
In the 1990's it was realized that quantum physics has some spectacular applications in computer science. This book is a concise introduction to quantum computation, developing the basic elements of this new branch of computational theory without assuming any background in physics. It begins with an introduction to the quantum theory from a...
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