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ISBN: 3540123342 0387123342 354040967X Year: 1983 Volume: 1005 Publisher: Berlin : Springer,
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Numerical analysis --- Congresses --- Congresses.
Book
Year: 2010 Publisher: [Sharjah, United Arab Emirates] : Bentham eBooks,
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Real and complex exponential data fitting is an important activity in many different areas of science and engineering, ranging from Nuclear Magnetic Resonance Spectroscopy and Lattice Quantum Chromodynamics to Electrical and Chemical Engineering, Vision and Robotics. The most commonly used norm in the approximation by linear combinations of exponentials is the l2 norm (sum of squares of residuals), in which case one obtains a nonlinear separable least squares problem. A number of different methods have been proposed through the years to solve these types of problems and new applications appear
Exponential functions. --- Functions, Exponential --- Hyperbolic functions --- Exponents (Algebra) --- Logarithms --- Transcendental functions
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ISBN: 1421408589 9781421408583 1421407868 9781421407869 Year: 2013 Publisher: Baltimore, Md. : Johns Hopkins University Press,
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Modeles mathematiques. --- Moindres carres --- Statistik. --- Methode der kleinsten Quadrate. --- Mathematical models. --- Least squares --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematical statistics --- Mathematics --- Probabilities --- Triangulation --- Models, Mathematical --- Simulation methods --- Informatique. --- Data processing. --- Least squares. --- Curve fitting. --- Fitting, Curve --- Numerical analysis --- Smoothing (Numerical analysis) --- Statistics --- Graphic methods
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Year: 1976 Publisher: Stockholm Royal Institute of technology. Department of information processing computer science
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519.6 --- 681.3 *G18 --- 681.3 *G18 Partial differential equations: difference methods; elliptic equations; finite element methods; hyperbolic equations; method of lines; parabolic equations (Numerical analysis) --- Partial differential equations: difference methods; elliptic equations; finite element methods; hyperbolic equations; method of lines; parabolic equations (Numerical analysis) --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- Computational mathematics. Numerical analysis. Computer programming
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