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Boundary value problems. --- Factorization (Mathematics) --- Invariant imbedding.
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In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank
Boundary value problems --- Initial value problems --- Invariant imbedding. --- Problèmes aux limites --- Plongement invariant --- Numerical solutions. --- Solutions numériques --- Invariant imbedding --- Numerical solutions --- 517.95 --- -Initial value problems --- -Invariant imbedding --- Functional equations --- Invariants --- Mathematical physics --- Radiation --- Problems, Initial value --- Differential equations --- Boundary conditions (Differential equations) --- Functions of complex variables --- Partial differential equations --- 517.95 Partial differential equations --- Numerical analysis --- Boundary value problems - Numerical solutions --- Initial value problems - Numerical solutions --- Equations differentielles ordinaires --- Equations differentielles --- Problemes aux limites
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Rapid advances in the physical and biological sciences and in related technologies have brought about equally farreaching changes in mathematical research. Focusing on control theory, invariant imbedding, dynamic programming, and quasilinearization, Mr. Bellman explores with ease and clarity the mathematical research problems arising from scientific questions in engineering, physics, biology, and medicine. Special attention is paid in these essays to the use of the digital computer in obtaining the numerical solution of numerical problems, its influence in the formulation of new and old scient
Programming (Mathematics) --- Invariant imbedding. --- Biomathematics. --- Biology --- Mathematics --- Functional equations --- Invariants --- Mathematical physics --- Radiation --- Mathematical programming --- Goal programming --- Algorithms --- Mathematical optimization --- Operations research
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Dynamic programming and partial differential equations
Differential equations, Partial --- Dynamic programming --- Invariant imbedding --- Electronic data processing --- Numerical solutions --- differential equations, partial --- Dynamic programming. --- Invariant imbedding. --- Numerical solutions. --- Data processing. --- Partial differential equations --- Functional equations --- Invariants --- Mathematical physics --- Radiation --- Mathematical optimization --- Programming (Mathematics) --- Systems engineering --- Numerical analysis --- Differential equations, Partial - Numerical solutions --- Electronic data processing - differential equations, partial --- Equations aux derivees partielles elliptiques --- Programmation mathematique --- Methodes variationnelles --- Problemes aux limites --- Programmation dynamique
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Quasilinearization and invariant imbedding, with applications to chemical engineering and adaptive control
Quasilinearization --- Differential equations, Nonlinear. --- Quasilinéarisation --- Equations différentielles non linéaires --- ELSEVIER-B EPUB-LIV-FT --- Boundary value problems --- Adaptive control systems. --- Invariant imbedding. --- Quasilinearization. --- Differential equations, Nonlinear --- Functional equations --- Invariants --- Mathematical physics --- Radiation --- Self-adaptive control systems --- Artificial intelligence --- Feedback control systems --- Self-organizing systems --- Numerical solutions. --- Numerical solutions
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