At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. Based on the premise …
''With the emergence of compressive sensing and sparse signal reconstruction, approaches to urban radar have shifted toward relaxed constraints on …
Reconstructing or approximating objects from seemingly incomplete information is a frequent challenge in mathematics, science, and engineering. A multitude of …
Future remote sensing systems will make extensive use of Compressive Sensing (CS) as it becomes more integrated into the system …
This book surveys techniques of random number generation and the use of random numbers in Monte Carlo simulation. The book …
"This book develops the use of Monte Carlo methods in finance, and it also uses simulation as a vehicle for …
This book represents the refereed proceedings of the Seventh International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific …
Until now, novices had to painstakingly dig through the literature to discover how to use Monte Carlo techniques for solving …
In Monte Carlo Methods in Chemical Physics: An Introduction to the Monte Carlo Method for Particle Simulations J. Ilja Siepmann …
This introduction to Monte Carlo methods seeks to identify and study the unifying elements that underlie their effective application. Initial …
Computational techniques based on simulation have now become an essential part of the statistician's toolbox. It is thus crucial to …
This book represents the refereed proceedings of the Sixth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific …
Optimization on Riemannian manifolds-the result of smooth geometry and optimization merging into one elegant modern framework-spans many areas of science …
This book presents the textile-, mathematical and mechanical background for the modelling of fiber based structures such as yarns, braided …
Recently, the field of quantum computation and information has been developing through a fusion of results from various research fields …
This book is addressed to undergraduate and graduate students in physics, mathematics and computer science. It is written at a …
Quantum computation and information is a new, rapidly developing interdisciplinary field. Its fundamental concepts and central results may not be …
This is a pedagogical introduction to the subjects of quantum information and computation. Topics include non-locality of quantum mechanics, quantum …
A self-contained treatment of the fundamentals of quantum computing This clear, practical book takes quantum computing out of the realm …
Quantum computation, one of the latest joint ventures between physics and the theory of computation, is a scientific field whose …
Research and development in the pioneering field of quantum computing involve just about every facet of science and engineering, including …
This book addresses an interesting area of quantum computation called quantum walks, which play an important role in building quantum …
Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring …
Suitable for a first year graduate course, this textbook unites the applications of numerical mathematics and scientific computing to the …
Algorithms are at the heart of every nontrivial computer application, and algorithmics is a modern and active area of computer …
This textbook is a concise introduction to the basic toolbox of structures that allow efficient organization and retrieval of data, …
Quantum computers can (in theory) solve certain problems far faster than a classical computer running any known classical algorithm. While …
This book describes the theory, operation, and application of genetic algorithms-search algorithms based on the mechanics of natural selection and …
Evolutionary Computing is the collective name for a range of problem-solving techniques based on principles of biological evolution, such as …
A unified view of metaheuristics This book provides a complete background on metaheuristics and shows readers how to design and …
Since the early 1990s, genetic programming (GP)-a discipline whose goal is to enable the automatic generation of computer programs-has emerged …
I have no idea how this is marketed as a college level text on the subject. It is just a …
Every real-world problem from economic to scientific and engineering fields is ultimately confronted with a common task, viz., optimization. Genetic …
