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C++数值算法-(第二版)(英文版)
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C++数值算法-(第二版)(英文版)


作者
(美)普雷斯
ISBN
750538631X
开本
234×184×37毫米
出版社
电子工业
出版日期
2003-4-1
NT$
751
暂时缺货

配送说明: 国际快递 , 海运邮递 。
付款说明: 1. VISA、MASTER線上刷卡 2. 信用卡传真刷卡付款 3. 邮政划拨 4. 银行汇款
 特色及评论  
 
本书选材内容丰富,包括了当代科学计算过程中涉及的大量内容:求特殊函数值、随机数、排序、最优化、快速傅里叶变换、谱分析、小波变换、统计描述和数据建模、偏微分方程数值解、若干编码算法和任意精度计算等。本书科学性和实用性统一,不仅对每种算法进行了数学分析和比较,而且根据作者经验对算法给出了评论和建议,并在此基础上提供了用C++语言编写的实用程序,本书中的345个程序构成了C++语言的数值计算程序库。
本书可以作为从事科学计算的科技工作者的工具书,计算机软件开发者的参考书,也可以作为大学本科生和研究生的参考书或教材。

 本书目录  
 
1Preliminaries
1.0Introduction
1.1ProgramOrganizationandControlStructures
1.2SomeC++ConventionsforScientificComputing
1.3ImptementationoftheVectorandMatrixClasses
1.4Error,Accuracy,andStability
2SolutionofLinearAlgebraicEquations
2.0Introduction
2.1Gauss-JordanElimination
2.2GaussianEliminationwithBacksubstitution
2.3LUDecompositionandItsApplications
2.4TridiagonalandBandDiagonalSystemsofEquations
2.5IterativeImprovementofaSolutiontoLinearEquations
2.6SingularValueDecomposition
2.7SparseLinearSystems
2.8VandermondeMatricesandToeplitzMatrices
2.9CholeskyDecomposition
2.10QRDecomposition
2.11IsMatrixInversionanN3Process?
3InterpolationandExtrapolation
3.0Introduction
3.1PolyaomialInterpolationandExtrapolation
3.2RationalFunctionInterpolationandExtrapolation
3.3CubicSplineInterpolation
3.4HowtoSearchanOrderedTable
3.5CoefficientsoftheInterpolatingPolynomial
3.6InterpolationinTwoorMoreDimensions
4IntegrationofFunctions
4.OIntroduction
4.1ClassicalFormulasforEquallySpacedAbscissas
4.2ElementaryAlgorithms
4.3RombergIntegration
4.4ImproperIntegrals
4.5GaussianQuadraturesandOrthogonalPolynomials
4.6MultidimensionalIntegrals
5EvaluationofFunctions
5.0Introduction
5.1SeriesandTheirConvergence
5.2EvaluationofContinuedFractions
5.3PolynomialsandRationalFunctions
5.4ComplexArithmetic
5.5RecurrenceRelationsandClenshaw'sRecurrenceFormula
5.6QuadraticandCubicEquations
5.7NumericalDerivatives
5.8ChebyshevApproximation
5.9DerivativesorIntegralsofaChebyshev-approximatedFunction
3.10PolynomialApproximationfromChebyshevCoefficients
5.11EconomizationofPowerSeries
5.12PadeApproximants
5.13RationalChebyshevAppmximation
5.14EvaluationofFunctionsbyPathIntegration
6SpeclalFunctions
6.0Introduction
6.1GammaFunction,BetaFunction,Factorials.BinomialCoefficients
6.2IncompleteGammaFunction,ErrorFunction.Chi-SquareProbabilityFunction,CumulativePoissonFunction
6.3ExponentialIntegrals
6.4IncompleteBetaFunction,Student'sDistribution,F-DistributionCumulativeBinomialDistribution
6.5BesselFunctionsofIntegerOrder
6.6ModifiedBesselFunctionsofIntegerOrder
6.7BesselFunctionsofFractionalOrder,AiryFunctions,SphericalBesselFunctions
6.8SphericalHarmonics
6.9FresnelIntegrals,CosineandSineIntegrals
6.10Dawson'sInegral
6.llEllipticIntegralsandJacobianEllipticFunctions
6.12HypergeometricFunctions
7RandomNumbers
7.OIntroduction
7.1UniformDeviates
7.2TransformationMethod:ExponentialandNormalDeviates
7.3RejectionMethod:Gamma.Poisson,BinomialDeviates
7.4GenerationofRandomBits
7.5RandomSequencesBasedonDataEncryption
7.6SimpleMonteCarloIntegration
7.7Quasi-(thatis,Sub-)RandomSequences
7.8AdaptiveandRecursiveMonteCarloMethods
8Sorting
8.0Introduction
8.1StraightInsertionandShell'sMethod
8.2Quicksort
8.3Heapsort
8.4IndexingandRanking
8.5SelectingtheMthLargest
8.6DeterminationofEquivalenceClasses
9RootFindingandNonlinearSetsofEquations
9.0Introduction
9.lBracketingandBisection
9.2SecantMethod,FalsePositionMethod,andRidders'Method
9.3VanWijngaarden-Dekker-BrentMethod
9.4Newton-RaphsonMetkodUsingDerivative
9.5RootsofPolynomials
9.6Newton-RaphsonMealodforNonlinearSystemsofEquations
9.7GloballyConvergentMethodsforNonlinearSystemsofEquations
10MinimizationorMaximizationofFunctions
10.0Introduction
10.1GoldenSectionSearchinOneDimension
10.2ParaboliclnterpolationandBrent'sMethodinOneDimension
10.3One-DimensionalSearchwithFirstDerivatives
10.4DownhillSimplexMethodinMultidimensions
10.5DirectionSet(Powell's)MethodsinMultidimensions
10.6ConjugateGadientMethodsinMultidimensions
10.7VariableMetricMethodsinMultidimensions
10.8LinearPro
10.9SimulatedAnnealingMeathods
11Eigensystems
11.0Introduction
11.1JacobiTransformationsofaSymmetricMatrix
11.2ReductionofaSymmetricMatrixtoTridiagonalForm
GivensandHouseholderReductions
11.3EigenvaluesandEigenvectorsofaTridiagonalMatrix
11.4HermitianMatrices
11.5ReductionofaGeneralMatrixtoHessenbergForm
11.6TheQRAlgorithmforRealHessenberyMatrices
11.7ImprovingEigenvaluesand/orFindingEigenvectorsby
InverseIteration
12FastFourierTransform
12.0Introduction
12.1FourierTransformofDiscretelySampledData
12.2FastFourierTransform(FFT)
12.3FFTofRealFunctions,SineandCosineTransforms
12.4FFTinTwoorMoreDimensions
12.5FourierTransformsofRealDatainTwoandThreeDimensions
12.6ExternalStorageorMemory-LocalFFTs
13FourierandSpectralApplications
13.0Introduction
13.1ConvolutionandDeconvolutionUsingtheFFT
13.2CorrelationandAutocorrelationUsingtheFFT
13.3Optimal(Wiener)FilterinwiththeFFT
13.4PowerSpectrumEstimationUsingtheFFT
13.5DigitalFilteringinaheTimeDomain
13.6LinearPredictionandLinearPredictiveCoding
13.7PowerSpectrumEstimationbytheMaximumEntropy
(AllPoles)Method
13.8SpectralAnalysisofUnevenlySampledData
13.9ComputingFourierIntegralsUsingUleFFT
13.10WaveletTransforms
13.11NumericalUseoftheSamplingTheorem
14StatisticalDeseriptionofData
14.OIntroduction
14.1MomentsofaDistribution:Mean,Variance,Skewness,
andSoForth
14.2DoTwoDistributionsHavetheSameMeansorVariances?
14.3AreTwoDistributionsDifferent?
14.4ContingencyTableAnalysisofTwoDistributions
14.5LinearCorrelation
14.6NonparametricorRankCorrelation
14.7DoTwo-DimensionalDistributionsDiffer?
14.8Savitzky-GolaySmoothingFilters
15ModelingofData
15.0Introduction
15.1LeastSquaresasaMaximumLikelihoodEstimator
15.2FittingDatatoaStraightLine
15.3Straight-LineDatawithErrorsinBothCoordinates
15.4GeneralLinearLeastSquares
15.5NonlinearModels
15.6ConfidenceLimitsonEstimatedModelParameters
15.7RobustEstimation
16IntegrationofOrdinaryDifferentialEquations
l6.0Introduction
16.1Runge-KuttaMethod
16.2AdaptiveStepsizeControlforRunge-Kutta
16.3ModifiedMidpointMealod
16.4RichardsonExtrapolationandtheBulirsch-StoerMethod
16.5Second-OrderConservativeEquations
16.6StiffSetsofEquations
l6.7Multistep,Multivalue,andPredictor-CorrectorMethods
17TwoPointBoundaryValueProblems
17.OIntrodnction
17.1TheShootingMethod
17.2ShootingtoaFittingPoint
17.3RelaxationMethods
17.4AWorkedExample:SpheroidalHarmonics
17.5AutomatedAllocationofMeshPoints
17.6HandlingInternalBoundaryConditionsorSingularPoints
18IntegralEquationsandInverseTheory
18.0Introduction
18.1FredholmEquationsoftheSecondKind
18.2VolterraEquations
18.3IntegralEquationswithSingularKernels
18.4InverseProblemsandtheUseofAPrioriInformation
18.5LinearRegularizationMethods
18.6Backus-GilbertMethod
18.7MaximumEntropyImageRestoration
19PartialDifferentialEquations
19.0Introduction
19.1Flux-ConservativeInitialValueProblems
19.2DiffusiveInitialValueProblems
19.3InitialValueProblemsinMultidimensions
19.4FourierandCyclicReductionMethodsforBoundary
ValueProblems
19.5RelaxationMethodsforBoundaryValueProblems
19.6MultigridMethodsforBoundaryValueProblems
20Less-NumericalAlgorithms
20.0Introduction
20.1DiagnosingMachineParameters
20.2GrayCodes
20.3CyclicRedundancyandOtherChecksums
20.4HuffmanCodingandCompressionofData
20.5ArithmeticCoding
20.6ArithmeticatArbitraryPrecision
References
AppendixA:TableofFunetionDeclarations
AppendixB:UtilityRoutinesandClasses
AppendixC:ConvetringtoSinglePrecision
IndexofProgramsandDependencies
GeneralIndex

 


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