Titlebook: Numerical Methods for Nonlinear Engineering Models; John R. Hauser Book 2009 Springer Science+Business Media B.V. 2009 Simulation.algorith

Harrison

書目名稱Numerical Methods for Nonlinear Engineering Models影響因子(影響力)




書目名稱Numerical Methods for Nonlinear Engineering Models影響因子(影響力)學(xué)科排名




書目名稱Numerical Methods for Nonlinear Engineering Models網(wǎng)絡(luò)公開度




書目名稱Numerical Methods for Nonlinear Engineering Models網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Numerical Methods for Nonlinear Engineering Models被引頻次




書目名稱Numerical Methods for Nonlinear Engineering Models被引頻次學(xué)科排名




書目名稱Numerical Methods for Nonlinear Engineering Models年度引用




書目名稱Numerical Methods for Nonlinear Engineering Models年度引用學(xué)科排名




書目名稱Numerical Methods for Nonlinear Engineering Models讀者反饋




書目名稱Numerical Methods for Nonlinear Engineering Models讀者反饋學(xué)科排名

分發(fā)

Numerical Fundamentals and Computer Programming,view, the term engineering models refers to a collection of relationships between some set of parameters associated with an engineering artifact and some desired set of performance parameters. The relationships may be explicitly given but in most cases are implicitly expressed through sets of nonlin

Solace

Cleave

Solving Sets of Equations: Linear and Nonlinear, which the equation is zero. This chapter extends that discussion to sets of equations in several variables. Only cases where the number of variables is equal to the number of equations will be considered with equations of the form:.In general it will be assumed that this is a nonlinear set of equat

內(nèi)行

Numerical Derivatives and Numerical Integration,and nsolv(). The most powerful algorithms for handling nonlinear equations are to linearize and iterate on the linearized equations until a valid solution of the nonlinear equations is obtained. To do this one needs to be able to obtain the derivative of the nonlinear equations. Most authors shy awa

財(cái)產(chǎn)

canonical

Curve Fitting and Data Plotting,th curve between the given data points by an interpolation function. The techniques work well for data points which have been evaluated from some known function or computer algorithm or for data points with zero or negligible random errors in the data values. For experimental data and thus for a wid

圣人

dry-eye

Data Models and Parameter Estimation,of parameters that characterize the model. This is similar to the topic addressed in Chapter 7 of curve fitting and data plotting. However, in that chapter the emphasis was only on obtaining a smooth curve representation of a set of data with noise. The intent of the curve fitting there was to obtai

警告

Differential Equations: Initial Value Problems, problem requires finding the solution of a set of differential equations subject to some set of initial values or subject to some set of boundary values. In this chapter only the initial value type of problem will be considered. A subset of general differential equations is the set of linear differ