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Mathematical Physics with Partial Differential Equations
Mathematical Physics with Partial Differential Equations is for advanced undergraduate and beginning graduate students taking a course on mathematical physics taught out of math departments. The text presents some of the most important topics and methods of mathematical physics. The premise is to study in detail the three most... | | Digital Signal Processing: A Filtering ApproachThis new resource introduces the concepts, equations, and terminology of Digital Signal Processing, and also provides the tools needed to analyze and design digital filters. With emphasis on digital filtering, this book applies the reader's knowledge of AC circuits, trigonometry, algebra, calculus and analog filter design to digital signal... | | Advanced Quantum MechanicsAdvanced Quantum Mechanics, the second volume on quantum mechanics by Franz Schwabl, discusses nonrelativistic multi-particle systems, relativistic wave equations and relativistic quantum fields. Characteristic of the author´s work are the comprehensive mathematical discussions in which all intermediate steps are derived and where numerous... |
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Matrix Analysis for Scientists and Engineers‘I found Laub's book a delightful read. It has become the sixth valuable ‘Matrix Analysis’ book on my shelves. As well as being admirably suited for the course at which it is aimed, its conciseness and clarity of presentation, together with the good index, make it easy to use for reference. The book is recommended both as a course... | | Plasma Waves, 2nd Edition (Series in Plasma Physics)
Extended and revised, Plasma Waves, 2nd Edition provides essential information on basic formulas and categorizes the various possible types of waves and their interactions. The book includes modern and complete treatments of electron cyclotron emission, collisions, relativistic effects, Landau damping, quasilinear and nonlinear... | | Control of Higher-Dimensional PDEs: Flatness and Backstepping Designs
This monograph presents new model-based design methods for trajectory planning, feedback stabilization, state estimation, and tracking control of distributed-parameter systems governed by partial differential equations (PDEs). Flatness and backstepping techniques and their generalization to PDEs with higher-dimensional spatial domain lie at... |
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