Prealgebra Solved

MATLAB in Physics is a four lecture series in MATLAB that is offered to first year physics undergraduate students. This lecture shows how to use MATLAB to simulate physical systems using a range of methods. Projectile motion is analysed using the Symbolic Math Toolbox, then more complicated... Platforms: Matlab

MATLAB in Physics is a four lecture series in MATLAB that is offered to first year physics undergraduate students.This lecture shows how to use MATLAB to fit experimental data such as that obtained in undergraduate physics experiments. Non-linear fitting to a more complicated model function is... Platforms: Matlab

The velocity and shear stress versus radial position are determined for laminar flow of a Carreau fluid in a pipe. The shooting method is used to verify the no-slip boundary condition at the piped-deOaos wall. Once the velocity at the center is determined, the governing Differential Algebraic... Platforms: Matlab

Computation of the residue curve map for the MTBE chemistry is presented in the program. The equilibrium, taking place in the liquid phase, transforms methanol and isobutene into MTBE with n-butane being an inert component. Thermodynamic data can be found in the excellent paper by Niang and... Platforms: Matlab

Numerical solutions for the conversion of an isothermal axially dispersed plug flow reactor accomplishing first and second order reactions are obtained. The Danckwerts boundary conditions for the so-called "closed" configuration are used. We use the shooting method since it is a... Platforms: Matlab

The reduction of complex linear system is always a very important topic in many courses. In Signal and System it is the analysis of Signal Flow graph(Mason's Rule). In Signal Processing it is to find out the system function from complex filter structure. In Automatic Control it is the reduction... Platforms: Matlab

The problem of fitting a straight line to data with uncertainties in both coordinates is solved using a weighted total least-squares algorithm. The parameters are transformed from the usual slope/y-axis intersection pair to slope angle and distance to the origin. The advantages of this are that... Platforms: Matlab

This is an example from new book "MATLAB i Simulink, poradnik uzytkownika" by Bogumila and Zbigniew Mrozek,to be published by Wydawnictwo Helion, Poland.A problem was how to provide additional parameter beta to ODE solver ode23. This was solved without using global variables.In "oscillator.m"... Platforms: Matlab

cThis lecture investigates the underlying linear algebra that forms the basis of MATLAB. Aly Kassam is the author of this lecture, it is being submitted under Matt McDonnell's name solely to fit it in with the rest of the lectures. The aim of this lecture series is to introduce students to... Platforms: Matlab

PID control over the exit raffinate composition (x5) of a five stages column is obtained by changing solvent flow rate (G). The set point is equal to 0.1. The model equations include backmixing effects. This problem is solved using Berkeley-Madonna in Chemical Engineering Dynamics, Ingham et al.,... Platforms: Matlab

For given p(x) = PROD[i=1,m]{SUM[j=2,n+2]{(A(i,j)*x^(j-2))^A(i,1)}} we shall get p(x) = SUM[s=1,N+1]{p(s)^(N+1-s)} For example If p(x) = (x-4)^5 * (3x^6-7x^3+5x+2)^2 * (x^3+8)^3 * x^2 or A = [ 5 -4 1 0 0 0 0 0 2 2 5 0 -7 0 0 3 3 8 0 0 1 0 0 0 1 0 0 1 0 0 0 0 ] then from p = polyget(A) we get p =... Platforms: Matlab

Bootstrap the yield curve, discount curve and the forward curve from market data***************** BOOTSTRAPPING RESULTS **********************Time (Years)| Yield Curve | Discount Curve| Forward Curve |----------------------------------------------------------------------- 0.51 | 1.2404% | 0.9938... Platforms: Matlab

Converts the YUY2 input from my Logitech camera to RGB. Might be same the as YUV to RGB converter.If you need this file for processing video input from your camera, here's an alternate way (which I haven't tested). Quoting Lautaro Camona... Platforms: Matlab

Finds a (near) optimal solution to a variation of the M-TSP (that has a variable number of salesmen) by setting up a GA to search for the shortest route (least distance needed or the salesmen to travel to each city exactly once and return to their starting locations). The salesmen originate from... Platforms: Matlab

Given an input primal gear, the toolbox compute its associated dual gear together with the associated distance between the gear centers.The gears are described as a discretized polar curve. The dual gear is solved by a numerical integration of the non-sliding condition. The distance between the... Platforms: Matlab

The problem of fitting a straight line to data with uncertainties in both coordinates is solved using a weighted total least-squares algorithm. The parameters are transformed from the usual slope/y-axis intersection pair to slope angle and distance to the origin. The advantages of this are that... Platforms: Matlab

Once the finite element matrix equations are solved for field values at the nodes, in postprocessing these derived quantities are graphically displayed. To know the variation of the field variable along the model/mesh contour plots of the field are plotted.The present code is useful for... Platforms: Matlab

Sample size required in tests concerning the variance, employing the Chi-square distribution and solved by iterative fashion (directed trial and error). This means that we enter an initial value for n in order to obtain a better estimate. It only needs the sample variance, expected (hypothesized)... Platforms: Matlab

A nonlinear Simple Pendulum is simulated. Phase plane plot and time vs. displacement plots are updated accordingly. Pendulum equation is nonlinear, it is solved using ode45 of MATLAB. Mass, length, damping, and duration of pendulum can be changed. Platforms: Matlab

The sub-pixel locations are solved by forming a Taylor series representation of the corner image valuesReference: Brown and Lowe "Invariant Features from Interest Point Groups"BMVC 2002 pp 253-262 Platforms: Matlab