Videos and lecture notes for engineering students learning numerical methods with MATLAB
matlab tutorial,matlab programs,simulink program
First year undergraduate course using MATLAB and Symbolic Math Toolbox at the University of Oxford
Introduction to MATLAB for math, science & engineering; requires no prior programming knowledge
Perform symbolic computations with the MuPAD language and engine
Derive closed-form analytical solutions to math and engineering problems with MATLAB
Learn how to calculate numeric and symbolic integrals with MATLAB and Symbolic Math Toolbox
Using distributed arrays & PCT's SPMD construct to solve large linear algebra problems.
Matlab code for the fast random walker with priors and precomputation segmentation algorithm
MATLAB published files introducing symbolic and numerical solutions for differential equations
Course materials and MuPAD examples to teach concepts related to integrals & differential equations
Demonstration of fundamental concepts in calculus using MuPAD notebooks and Symbolic Math Toolbox
digital Image processing codes, tutorials, resource sharing
Jacket version 1.4 is used to test the performance differences of C2050 versus C1060
Video lecture on solving ODEs with MATLAB
Implicit linear operators with the look-and-feel of Matlab matrices.
One page .PDF document that contains commonly-used MATLAB commands and what they do
MATLAB Codes for calculus textbook by University of Maryland prof Jeffery Cooper
Calculus textbook by University of Maryland prof Jeffery Cooper shows how to analyze real problems
Homework & MATLAB activities by College of the Redwoods prof David Arnold
Files and solutions for Mathematical Exploration with MATLAB by Ke Chen, Peter Giblin, Alan Irving
A collection of M-files for linear algebra maintained by Michael Tsatsomeros at Washington State.
Published MATLAB files demonstrating concepts in multivariate and vector calculus
MATLAB Files for Worcester Polytechnic Institute course by professor Homer Walker.
Software for nonstiff, stiff, differential-algebraic, Hamiltonian, and delay equations
Large set of MATLAB mat-files of sparse matrices that arise in real applications
Alan Weiss presents techniques for the calculation and use of gradients using Symbolic Math Toolbox
Web-based MATLAB tutorial covering programming, data analysis, and plotting
MecLab is a turn-key solution for introducing the principles of Mechatroncis
MATLAB tutorial covering basic and advanced uses (makes extensive use of published examples)
Web page with resources and MATLAB code to support the textbook named in the title
Tutorial on solving different kinds of ODEs in MATLAB, with links to additional resources
Advanced textbook on nonparametric statistics using MATLAB and Statistics Toolbox
Tutorial demos of Symbolic Math Toolbox (MATLAB and MuPAD) for applications in math and engineering
Theory of convex optimization and application to problems in engineering and statistics
Textbook for introducing programming and technical computing concepts to undergraduates
Introduction to theory and computational techniques in linear algebra (with MATLAB exercises)
Graduate-level textbook on computational methods in a variety of engineering areas
Parallel computing can accelerate the solution of computationally expensive optimization problems
Teaching material for the ODEs of the Predator-Prey model
MATLAB files for a variety of mathematics courses (calculus, matrix theory, numerical analysis etc.)
MATLAB은 C, C++ 및 Fortran과 같은 기존 프로그래밍 언어보다 더 빨리 연산 집중 작업을 수행할 수 있는 상위 레벨 언어 및 대화식 환경입니다....
MATLAB 是一种用于算法开发、数据可视化、数据分析以及数值计算的高级技术计算语言和交互式环境。使用 MATLAB，您可以较使用传统的编程语言（如 C、C++ 和 Fortran）更快地解决技...
The course will consist of lectures, homework assignments and a project on a topic related to the...
This course uses MATLAB to introduce the elements of procedural and object-oriented programming. ...
Online textbook on numerical methods, with downloadable chapters and supporting MATLAB files
Online textbook that introduces MATLAB through the use of interesting puzzles and problems
An overview of MATLAB. Topics covered include functions, vectors, matrices, cell arrays, & graphics.