Results 251 to 260 of about 648,217 (296)
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2012
After reviewing the basic properties of floating-point representation, examples of typical use of expressions in finite-precision arithmetic are given, along with illustrations of common programming pitfalls. Selected classes of function approximation are shown next: optimal (minimax) and rational (Pade) approximations, as well as approximations of ...
Martin Horvat, Simon Širca
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After reviewing the basic properties of floating-point representation, examples of typical use of expressions in finite-precision arithmetic are given, along with illustrations of common programming pitfalls. Selected classes of function approximation are shown next: optimal (minimax) and rational (Pade) approximations, as well as approximations of ...
Martin Horvat, Simon Širca
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Numerical analysis of sandwich beams
Computers & Structures, 1991This paper describes the development of a numerical model for the physical nonlinear analysis of simply supported sandwich beams, specifically with foamed-concrete cores and concrete faces. The long-term behaviour is included in view of creep and shrinkage of both faces and core. The structural behaviour of sandwich beams is described by a fourth-order
Theo A.M. Salet, S.A. Hamelink
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Algorithms for Numerical Analysis
2016Equation solving is one of the main building blocks for financial algorithms used in the analysis of options and financial derivatives. This happens because of the nature of options pricing, which is based on the Black-Scholes pricing model. Many of the techniques that involve options pricing require the efficient solution of equations and other ...
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1969
Publisher Summary This chapter describes the importance of numerical analysis. Analytical treatment of scientific, or technical problems often yields results that are no, and directly amenable to numerical computation. The result may, for instance, involve the sum of a series the convergence of which may have been established.
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Publisher Summary This chapter describes the importance of numerical analysis. Analytical treatment of scientific, or technical problems often yields results that are no, and directly amenable to numerical computation. The result may, for instance, involve the sum of a series the convergence of which may have been established.
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2002
Publisher Summary All measurements are subject to errors. Therefore, it is essential in any scientific endeavor to analyze the results of experiments and to estimate the reliability of the data obtained. In general, experimental errors can be classified as systematic, personal, and random.
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Publisher Summary All measurements are subject to errors. Therefore, it is essential in any scientific endeavor to analyze the results of experiments and to estimate the reliability of the data obtained. In general, experimental errors can be classified as systematic, personal, and random.
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2001
In this paper we design abstract domains for numerical power analysis. These domains are conceived to discover properties of the following type: "The integer (or rational) variable X at a given program point is the numerical power of c with the exponent having a given property π", where c and π are automatically determined.
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In this paper we design abstract domains for numerical power analysis. These domains are conceived to discover properties of the following type: "The integer (or rational) variable X at a given program point is the numerical power of c with the exponent having a given property π", where c and π are automatically determined.
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Metabolomics in cancer research and emerging applications in clinical oncology
Ca-A Cancer Journal for Clinicians, 2021Daniel R Schmidt +2 more
exaly
Proceedings of the 1st annual computer science conference on Program information abstracts - CWC '73, 1973
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NUMERICAL FUNCTIONAL ANALYSIS(Monographs on Numerical Analysis)
Bulletin of the London Mathematical Society, 1983openaire +2 more sources