Extrapolation methods - theory and practice

C. Brezinski, M. Redivo-Zaglia
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引用次数: 346

Abstract

Introduction to the Theory. First Steps. What is an Extrapolation Method? What is an Extrapolation Algorithm? Quasi-linear Sequence Transformations. Sequence Transformations as Ratios of Determinants. Triangular Recursive Schemes. Normal Forms of the Algorithms. Progressive Forms of the Algorithms. Particular Rules of the Algorithms. Accelerability and Non-accelerability. Optimality. Asymptotic Behaviour of Sequences. Scalar Extrapolation Algorithms. The E-algorithm. Richardson Extrapolation Process. The -algorithm. The G-transformation. Rational Extrapolation. Generalizations of the -algorithm. Levin's Transformations. Overholt's Process. -type Algorithms. The Iterated 2 Process. Miscellaneous Algorithms. Special Devices. Error Estimates and Acceleration. Convergence Tests and Acceleration. Construction of Asymptotic Expansions. Construction of Extrapolation Processes. Extraction Procedures. Automatic Selection. Composite Sequence Transformations. Error Control. Contractive Sequence Transformations. Least Squares Extrapolation. Vector Extrapolation Algorithms. The Vector -algorithm. The Topological -algorithm. The Vector E-algorithm. The Recursive Projection Algorithm. The H-algorithm. The Ford-Sidi Algorithms. Miscellaneous Algorithms. Continuous Prediction Algorithms. The Taylor Expansion. Confluent Overholt's process. Confluent -algorithms. Confluent -algorithm. Confluent G-transform. Confluent E-algorithm. -type Confluent Algorithms. Applications. Sequences and Series: Simple Sequences, Double Sequences, Chebyshev and Fourier Series, Continued Fractions, Vector Sequences. Systems of Equations: Linear Systems, Projection Methods, Regularization and Penalty Techniques, Nonlinear Equations, Continuation Methods. Eigenelements: Eigenvalues and eigenvectors, Derivatives of Eigensystems. Integral and Differential Equations: Implicit Runge-Kutta Methods, Boundary Value Problems, Nonlinear Methods, Laplace Transform Inversion, Partial Differential Equations. Interpolation and Approximation. Statistics: The Jackknife, ARMA Models, Monte-Carlo Methods. Integration and Differentiation: Acceleration of Quadrature Formulae, Nonlinear Quadrature Formulae, Cauchy's Principal Values, Infinite Integrals, Multiple Integrals, Numerical Differentiation. Prediction. Software. Programming the Algorithms. Computer Arithmetic. Programs. Bibliography. Index.
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外推方法-理论与实践
理论导论。第一个步骤。什么是外推法?什么是外推算法?拟线性序列变换。作为行列式之比的序列变换。三角递归格式。算法的标准形式。算法的递进形式。算法的特殊规则。加速性和非加速性。最优。序列的渐近性质。标量外推算法。算法。理查森外推法。算法。G-transformation。合理的推断。-算法的推广。莱文的转换。Overholt的过程。型算法。迭代过程。各种各样的算法。特殊的设备。误差估计和加速度。收敛测试和加速。渐近展开的构造。外推过程的构建。提取过程。自动选择。复合序列变换。误差控制。压缩序列变换。最小二乘外推法。向量外推算法。向量算法。拓扑算法。向量e算法。递归投影算法。H-algorithm。Ford-Sidi算法。各种各样的算法。连续预测算法。泰勒展开式。Confluent Overholt的过程。融合性的算法。融合性的算法。支流G-transform。融合性的算法。type Confluent算法。应用程序。序列和级数:简单序列,双序列,切比雪夫和傅立叶级数,连分式,向量序列。方程组:线性系统,投影方法,正则化和惩罚技术,非线性方程,延拓方法。特征元素:特征值和特征向量,特征系统的导数。积分与微分方程:隐式龙格-库塔方法、边值问题、非线性方法、拉普拉斯变换反演、偏微分方程。插值和近似。统计学:折刀,ARMA模型,蒙特卡罗方法。积分与微分:积分公式的加速、非线性积分公式、柯西主值、无穷积分、多重积分、数值微分。预测。软件编程算法。计算机算术。项目。参考书目。索引。
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