Computing in Applied Science

Summary: APPLICABLE MATHEMATICS. Complex Numbers and Complex Exponentials. Power Series Expansions. Numerical Derivatives, Integrals, and Curve Fitting. Fourier Expansions. Introduction to Differential Equations: From the Particular to the General. Second-Order Differential Equations. Applied Vector Dynamics. LABORATORIES IN COMPUTING. Conversion Between Polar and Cartesian Coordinates. Numerical Approximation of Derivatives.... An Introduction to Computer Graphics. Electrostatic Potentials by Integration. Monte-Carlc Simulations. Spline Fitting and Interpolation. Least-Squares Analysis of Data. Fourier Analysis of an EEG. Analysis of Resonance Line Widths. Space-Vehicle Orbits and Trajectories. Index. [read more]