Fourth edition of a classic on computational physics with new chapters on data science, machine learning and general relativity, plus a plethora of supplementary materials.

PrefacePART I. BASICSIntroductionSoftware BasicsErrors & UncertaintiesMonte Carlo SimulationsDifferentiation & IntegrationTrial-and-Error Searching & Data FittingMatrix Computing and N-D SearchingDifferential Equations & Nonlinear OscillationsPART II. DATA SCIENCEFourier AnalysesWavelet & Principal Components AnalysisNeural Networks & Machine LearningQuantum ComputingPART III. APPLICATIONSODE Applications; Eigenvalues, Scattering, TrajectoriesFractals & Statistical Growth ModelsNonlinear Population DynamicsNonlinear Dynamics of Continuous SystemsThermodynamics Simulations & Fenyman Path IntegralsMolecular Dynamics SimulationsGeneral RelativityIntegral EquationsPART IV. PDE APPLICATIONSPDE Review, Electrostatics & RelaxationHeat Flow & LeapfroggingString & Membrane WavesQuantum Wave Packets & EM WavesShock & Soliton WavesFluid HydrodynamicsFinite Element ElectrostaticsAppendicesIndex