| Physics M-files |
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User contributed physics m-files from the MATLAB Central File Exchange.
Submitted: Apr 18, 2000
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| L. Kocbach: MATLAB in Physics |
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Matlab in Physics Teaching
Submitted: Nov 11, 2001
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| AOTOOLS Toolbox |
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The Adaptive Optics Toolbox is a collection of functions and graphical user interfaces designed for analysis tasks related to adaptive optics systems. By providing these tools in the MATLAB environment the features offered by AOTools are significantly enhanced by the computing and graphics power of MATLAB. Most functions are provided in source code and can be studied or extended by the user. MATLAB also provides a high level of platform independence.
Submitted: Jul 07, 1999
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| OSLO |
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Users of OSLO can simulate and optimize the performance of a wide range of optical systems by using OSLO's design features which help to determine the optimum size, shape and location of the individual optical components in a system.
Submitted: Oct 07, 2004
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| Grating Diffraction Calculator (GD-Calc™) |
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GD-Calc, the Grating Diffraction Calculator, computes optical diffraction efficiencies of biperiodic grating structures comprising linear, isotropic, and non-magnetic optical media, based on a generalized variant of rigorous coupled-wave (RCW) diffraction theory. Engineers, scientific programmers, researchers, and students with an interest in optics will find GD-Calc and the accompanying documentation to be a very useful resource for diffraction grating analysis.
Submitted: Sep 23, 2005
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| Problems for MATLAB Fundamentals |
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Wind chill calculation and non-ideal gas problems from Gustavus Adolphus College.
Submitted: Jun 07, 2005
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| Dielectric Resonator |
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Solver for an isolated dielectric resonator.
Submitted: Mar 18, 2005
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| rotsolve.m |
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Solve solid body rotation problem.
[A,b] = ROTSOLVE(R1,R2) solves the matrix equation A*R1 + b(:,[1 1 1]) = R2, where A is a 3 by 3 rotation matrix for which: inv(A)=A', b is a 3 by 1 vector (translation),and R1 and R2 are 3 by 3 matrices of initial and final coordinates of 3 points (a,b,c) of a solid body.
Submitted: Jul 18, 1999
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| Physical Modeling |
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Accelerate system-level analysis and control design with accurate and intuitive models of your physical system
The design of engineering systems requires tight integration of many engineering disciplines. To be successful, teams of engineers must collaborate using a wide array of diverse technologies. Software, in the form of control algorithms and signal processing algorithms, plays an ever increasing role in these systems. Developing software alongside the physical system results in optimized designs and the detection of errors earlier in the design process.
Submitted: Mar 19, 2008
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| Viscosity of Water and Silicon Oil |
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Kinematic viscosities of pure water and Rhodorsil 47 silicon oils as a function of temperature.
Submitted: Oct 06, 2005
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| TIP |
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TIP - Toolbox for Identification of the Physical Parameters of Linear Multibody Systems, by Thorsten Schmidt.
Submitted: Jul 19, 1999
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