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Numerical solutions of algebraic equations --- Approximatietheorie --- Approximation theory --- Polynomen --- Polynomes --- Polynomials --- Théorie des approximations --- Approximation theory.

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Numerical solutions of algebraic equations --- Differential equations [Nonlinear ] --- Numerical solutions --- Data processing --- Congresses --- Differential equations, Nonlinear - Numerical solutions - Data processing - Congresses.

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Numerical solutions of algebraic equations --- Linear equations --- Nonlinear equations --- Linear equations. --- Nonlinear equations. --- Equations --- Numerical solutions --- Data processing --- Equations - Numerical solutions - Data processing. --- Équations, Systèmes d'. --- Equations, Simultaneous. --- Newton, Méthode de. --- Newton-Raphson method. --- Newton, Méthode de --- Equations algebriques --- Methodes numeriques

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The algorithmic solution of problems has always been one of the major concerns of mathematics. For a long time such solutions were based on an intuitive notion of algorithm. It is only in this century that metamathematical problems have led to the intensive search for a precise and sufficiently general formalization of the notions of computability and algorithm. In the 1930s, a number of quite different concepts for this purpose were pro­ posed, such as Turing machines, WHILE-programs, recursive functions, Markov algorithms, and Thue systems. All these concepts turned out to be equivalent, a fact summarized in Church's thesis, which says that the resulting definitions form an adequate formalization of the intuitive notion of computability. This had and continues to have an enormous effect. First of all, with these notions it has been possible to prove that various problems are algorithmically unsolvable. Among of group these undecidable problems are the halting problem, the word problem theory, the Post correspondence problem, and Hilbert's tenth problem. Secondly, concepts like Turing machines and WHILE-programs had a strong influence on the development of the first computers and programming languages. In the era of digital computers, the question of finding efficient solutions to algorithmically solvable problems has become increasingly important. In addition, the fact that some problems can be solved very efficiently, while others seem to defy all attempts to find an efficient solution, has called for a deeper under­ standing of the intrinsic computational difficulty of problems.

Numerical solutions of algebraic equations --- Computer science --- Computational Complexity --- Computational complexity --- Computational complexity. --- Complexité de calcul (Informatique) --- Combinatorics. --- Computers. --- Mathematical logic. --- Algorithms. --- Algebraic geometry. --- Theory of Computation. --- Mathematical Logic and Foundations. --- Algorithm Analysis and Problem Complexity. --- Algebraic Geometry. --- Algebraic geometry --- Geometry --- Algorism --- Algebra --- Arithmetic --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Combinatorics --- Mathematical analysis --- Foundations