This book gives readers in-depth know-how on methods of state estimation for nonlinear control systems. It starts with an introduction to dynamic control systems and system states and a brief description of the Kalman filter. In the following chapters, various state estimation techniques for nonlinear systems are discussed, including...
Refine your programming techniques and approaches to become a more productive and creative Python programmer. This book explores the concepts and features that will improve not only your code but also your understanding of the Python community with insights and details about the Python philosophy.
Do you pull out your credit card when you know you shouldn’t? Do you watch others make a purchase and decide to make the same one, despite the fact that you have neither the money nor the need for it? Do you find yourself ignoring your bank statements because you’re afraid of what they might show?Many, if not most, Americans would...
Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. This updated edition of Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your...
Write algorithms and program in the new field of quantum computing. This book covers major topics such as the physical components of a quantum computer: qubits, entanglement, logic gates, circuits, and how they differ from a traditional computer. Also, Practical Quantum Computing for Developers...
Renal cell carcinoma (RCC) is the most common primary malignancy of the kidney, with an estimated 64,000 new cases diagnosed each year in the United States. Worldwide, this figure approaches 270,000 annual incident cases. At the time of initial presentation, 80% of patients with RCC will be diagnosed with a tumor localized the kidney. The...
Here is a state of art examination on exact and approximate algorithms for a number of important NP-hard problems in the field of integer linear programming, which the authors refer to as ``knapsack.'' Includes not only the classical knapsack problems such as binary, bounded, unbounded or binary multiple, but also less familiar problems...
