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This self-contained text is a step-by-step introduction and a complete overview of interval computation and result verification, a subject whose importance has steadily increased over the past many years. The author, an expert in the field, gently presents the theory of interval analysis through many examples and exercises, and guides the reader from the basics of the theory to current research topics in the mathematics of computation. Contents Preliminaries Real intervals Interval vectors, interval matrices Expressions, P-contraction, ε-inflation Linear systems of equations Nonlinear systems of equations Eigenvalue problems Automatic differentiation Complex intervals
Interval analysis (Mathematics) --- Analysis, Interval --- Arithmetic, Interval --- Interval arithmetic --- Interval mathematics --- Mathematics, Interval --- Mathematics --- Numerical analysis
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Interval analysis (Mathematics) --- Analysis, Interval --- Arithmetic, Interval --- Interval arithmetic --- Interval mathematics --- Mathematics, Interval --- Mathematics --- Numerical analysis
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This work introduces a new specification and verification approach for dynamic systems. The introduced approach is able to provide type II error free results by definition, i.e. there are no hidden faults in the verification result. The approach is based on Kaucher interval arithmetic to enclose the measurement in a bounded error sense. The developed methods are proven mathematically to provide a reliable verification for a wide class of safety critical systems.
Electrical engineering --- Verifikation --- Dynamische Systeme --- Intervall Arithmetik --- Diagnose --- Bounded Error --- Verification --- Dynamic Systems --- Interval Arithmetic --- Diagnosis
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An interval is a natural way of specifying a number that is specified only within certain tolerances. Interval analysis consists of the tools and methods needed to solve linear and nonlinear systems of equations in the presence of data uncertainties. Applications include the sensitivity analysis of solutions of equations depending on parameters, the solution of global nonlinear problems, and the verification of results obtained by finite-precision arithmetic. In this book emphasis is laid on those aspects of the theory which are useful in actual computations. On the other hand, the theory is developed with full mathematical rigour. In order to keep the book self-contained, various results from linear algebra (Perron-Frobenius theory, M- and H- matrices) and analysis (existence of solutions to nonlinear systems) are proved, often from a novel and more general viewpoint. An extensive bibliography is included.
Interval analysis (Mathematics) --- Equations --- Algebra --- Analysis, Interval --- Arithmetic, Interval --- Interval arithmetic --- Interval mathematics --- Mathematics, Interval --- Mathematics --- Numerical analysis --- Numerical solutions. --- Graphic methods
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Programming --- Interval analysis (Mathematics) --- 519.6 --- 681.3 *G10 --- Analysis, Interval --- Arithmetic, Interval --- Interval arithmetic --- Interval mathematics --- Mathematics, Interval --- Mathematics --- Numerical analysis --- Computational mathematics. Numerical analysis. Computer programming --- Computerwetenschap--?*G10 --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- Calcul numerique --- Approximation dans le domaine complexe --- Calcul d'erreur
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Numerical analysis --- Interval analysis (Mathematics) --- Congresses --- -519.6 --- 681.3 *G10 --- Analysis, Interval --- Arithmetic, Interval --- Interval arithmetic --- Interval mathematics --- Mathematics, Interval --- Mathematics --- Computational mathematics. Numerical analysis. Computer programming --- Computerwetenschap--?*G10 --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- 519.6 --- Interval analysis (Mathematics) - Congresses
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Programming --- Numerical analysis --- Interval analysis (Mathematics) --- 519.6 --- 681.3*G1 --- Analysis, Interval --- Arithmetic, Interval --- Interval arithmetic --- Interval mathematics --- Mathematics, Interval --- Mathematics --- Computational mathematics. Numerical analysis. Computer programming --- 681.3*G1 Numerical analysis --- 519.6 Computational mathematics. Numerical analysis. Computer programming
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Numerical analysis --- Interval analysis (Mathematics) --- #KVIV --- 519.6 --- 681.3*G1 --- Analysis, Interval --- Arithmetic, Interval --- Interval arithmetic --- Interval mathematics --- Mathematics, Interval --- Mathematics --- Computational mathematics. Numerical analysis. Computer programming --- Interval analysis (Mathematics). --- 681.3*G1 Numerical analysis --- 519.6 Computational mathematics. Numerical analysis. Computer programming
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Focuses on the integration of ordinary differential equations within the interval constraints framework, which for this purpose is extended with the formalism of Constraint Satisfaction Differential Problems. Such a framework allows the specification of ordinary differential equations by means of constraints.
Constraints (Artificial intelligence) --- Differential equations. --- Interval analysis (Mathematics) --- Biophysics --- Biological physics --- Biology --- Medical sciences --- Physics --- Analysis, Interval --- Arithmetic, Interval --- Interval arithmetic --- Interval mathematics --- Mathematics, Interval --- Mathematics --- Numerical analysis --- 517.91 Differential equations --- Differential equations --- Constraint satisfaction (Artificial intelligence) --- Artificial intelligence --- Mathematical models. --- Mathematical models --- E-books
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Mathematical control systems --- Calcul sur des intervalles --- Interval analyse (Wiskunde) --- Interval analysis (Mathematics) --- Mathematical optimization --- Niet-lineaire programmering --- Nonlinear programming --- Optimalisation mathématique --- Programmation non lineaire --- Wiskundige optimisatie --- Optimisation mathématique --- Programmation non linéaire --- Programming (Mathematics) --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Analysis, Interval --- Arithmetic, Interval --- Interval arithmetic --- Interval mathematics --- Mathematics, Interval --- Mathematics --- Numerical analysis --- Mathematical optimization. --- Nonlinear programming. --- Interval analysis (Mathematics). --- Optimisation mathématique --- Programmation non linéaire
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