CME 292 (Advanced MATLAB for Scientific Computing), offered by Institute for Computational & Mathematical Engineering, Stanford University
MATLAB and Simulink files to program the drawing robot, webcam controlled rover, and self-balancing motorcycle projects from AEK Rev 2.
: https://www.mathworks.com/help/supportpkg/arduinoio/ug/arduino-aek.htmlThis package includes the MATLAB and Simulink files used to program the three projects in the Arduino Engineering Kit Rev 2:• A drawing robot that takes a reference drawing and duplicates it on a
Financial stock market prediction
Financial stock market prediction of some companies like google and apple Any doubts pls contact emaal- josemebin@gmail.com
MATLAB and Simulink support for hardware components used in the Arduino Engineering Kit.
This package includes MATLAB and Simulink files that allow users to communicate with and control the sensors and actuators used in the Arduino Engineering Kit, most of which are connected through the
MATLAB and Simulink support for hardware components used in the Arduino Engineering Kit.
Note: This version is for MATLAB release R2018b only. For MATLAB R2018a please use this file here: https://www.mathworks.com/matlabcentral/fileexchange/66568-arduino_engineering
Generate Matlab table for ticker(s) queried through Alphavantage
MATLAB example on how to use Reinforcement Learning for developing a financial trading model
Reinforcement Learning For Financial Trading ?How to use Reinforcement learning for financial trading using Simulated Stock Data using MATLAB.SetupTo run:Open RL_trading_demo.prjOpen workflow.mlxRun
Risk neutral densities for advanced financial models used for option pricing
We present methods for calculating the risk neutral density for several financial models. We consider:Black, Displaced Diffusion, CEV, SABR, Heston, Bates, Hull-White, Heston-Hull-White, VG, NIG
Developing a Financial Market Index Tracker using MATLAB OOP and Genetic Algorithms
Version 1.1.0.1
Mark HoyleFiles used in the webinar of the same name
Files used in the Webinar "Developing a Financial Market Index Tracker using MATLAB OOP and Genetic Algorithms" The zip file contains the data and files used to develop an application to track a
Convert SI-prefixed text (aka engineering / metric prefix) into numeric values. Bonus: binary prefixes!
The function SIP2NUM converts a string with an SI prefix (aka metric prefix, or engineering prefix) into a numeric value. For example the string '1 k' is converted to 1000. The bonus function BIP2NUM
Convert a numeric value to SI-prefixed text (aka engineering / metric prefix). Bonus: binary prefixes!
The function NUM2SIP converts a numeric scalar into a string with an SI prefix (aka metric prefix, or engineering prefix). For example the value 1000 is converted to '1 k'. The bonus function NUM2BIP
Scripts and data to demonstrate the new Portfolio object in Financial Toolbox.
A .zip file contains a series of scripts that were used in the MathWorks webinar "Using MATLAB to Optimize Portfolios with Financial Toolbox." The scripts demonstrate features of the Portfolio object
Simulation of basic concepts in chemical reaction engineering
Read Yahoo Stock price and generate ZigZag Wave.
AEK material (Arduino Engineering Kit)
Welcome!The following material is aimed at engineering students who want to acquiredifferent skills through the use of the Arduino Engineering Kit -threechallenging engineering projects- and the
MATLAB and Simulink files to program the drawing robot, mobile rover, and self-balancing motorcycle.
NOTE: This package contains the project files for Arduino Engineering Kit Rev 1. - For Arduino Engineering Kit Rev 2 project files, use this link
MATLAB & Its Engineering Application
Matlab & Its Engineering Application - Presentation Its very useful for Matlab beginners
Simulink integration for Unreal Engine 4
Presentation and M-Files for MathWorks Webinar
This zip file contains the Presentation (PDF) and M-files that were demonstrated in the MathWorks Webinar: Using Genetic Algorithms in Financial Applications delivered on Dec 11 2007.The purpose of
Chapter-by-Chapter MATLAB codes related to the book "Computational Finance. MATLAB oriented modeling"
introduction to the MATLAB language and development environment, for programming, numerical calculation and visualization applied to simple calculus and financial problems. Chapter 2 introduces basic concepts in
Random Matrix Theory (RMT) Filtering of Financial Time Series for Community Detection
Version 1.0.0.0
MelUses RMT to create a filtered correlation matrix from a set of financial time series price data
This function eigendecomposes a correlation matrix of financial time series and filters out the Market Mode Component and Noise Component, leaving only the components of the correlation matrix that
Carr-Madan and Lewis pricing methods using FFT for many advanced financial models
This is material from the bookFinancial Modelling: Theory, Implementation and Practice with Matlab source from Joerg Kienitz and Daniel Wetterau, WILEY, September 2012Pricing Call Options for
MATLAB code of SNS algorithm for solving engineering optimization problems
Social Network Search (SNS) is a novel metaheuristic optimization algorithm, and its socrce code for solving mixed continuous/discrete engineering optimization problems is presented here. The SNS
These codes present various examples of engineering optimization and tuning the controllers’ gain.
The engineering optimization algorithms have been presented drastically recently, here is a simple method for constrained engineering optimization for both static and dynamic systems. The simplicity
The complete displacement diagram for all possible configuration of the linkages ...
LINKAGE MECHANISM (MECHANICAL ENGINEERING) The command xxx = mnism(r1,r3,l,r4,r5) example: xxx = mnism(3,5,6,6,8) -----------(1)gives two figures
A set of MuPAD notebooks which allow engineering students to visualize and experiment with maths.
A set of hyperlinked maths notebooks which allow Y1 and Y2 engineering students to visualize and experiment with difficult maths concepts. The aim is to allow students to do lots of examples, in an
Automated Driving Toolbox Interface for Unreal Engine 4 Projects
MathWorks Automated Driving Toolbox TeamThis support package allows you to customize scenes in the Unreal® Editor and use them in Simulink®.
Optometrika MATLAB library implements analytical and iterative ray tracing approximation to optical image formation using Snell’s and Fresne
an engineering drawing of the lens.example13.m: tests refraction through the lens edge and backward rays refraction (sub-aperture Maksutov-Cassegrain telescope)example14.m: tests refraction through a
Convert numbers to engineering notation strings, or use SI-prefixes instead. Offers extensive customisation. Also works on axes tick labels.
Converts an input numerical value into an engineering-formatted string (as a character vector), in either scientific format with multiples-of-three exponent, or using SI prefixes e.g. k, M, n, p etc
Companion Software
Written for advanced undergraduate students, this book emphasizes the practical application of control systems engineering to the analysis and design of feedback systems.
Retrieve historical stock data from Yahoo! Finance
solves problems in engineering statics & dynamics
This is a toolbox of educational software for engineering students and professionals who are analyzing and designing static systems and dynamic systems. The software is used in ENGINEERING STATICS
Customize scenes in Unreal® Editor for co-simulation of autonomous flight algorithms in Simulink®
Companion Software
Written for advanced undergraduate students, this book emphasizes the practical application of control systems engineering to the analysis and design of feedback systems.For a full book description
Companion Software
A tutorial for micromechanical computations with elasticity, fabric and Eshelby tensors.
Morphological characterisation and simplification of three-dimensional particle geometries
SHape Analyser for Particle Engineering What SHAPE does • Architectural features • File tree • Simple example • Credits • BYOS • Acknowledging
Companion Software
David Pozar Microwave Engineering
Engineering Optimization: An Introduction with Metaheuristic Applications
Version 1.0.0.0
Xin-She YangPSO, Firefly Algorithm
This submission contains the models needed to control the Arduino Engineering Kit's mobile rover using an Android device.
The Arduino Engineering Kit offers 3 projects : Drawing Robot, Rover and a Motorcycle. In this submission, we show how to use an Android phone to control the rover. For more details about the kit
Lynch files to accompany the book.
Lynch_Chaps.zip contains the MATLAB files, Simulink model files and a Tutorial Introduction to MATLAB for the new book, "Applications of Chaos and Nonlinear Dynamics in Engineering - Vol. 1". The
Dynamic model of CSTR from Engineering Dynamics ENG2120 coursework Case 3
Dissertation code for MSc in Financial Economics in City University London
Fault (power engineering)
Segmentation using active contour without edges and multi-scale acceleration. GUI included
This code recursively generates K-subsets of an N-set.
This is an n-body gravitational simulation, where Verlet algorithm and Octree method are applied.
.slx files of questions in the book.
Multiplying matrices, vectors, or scalars contained in two N-D arrays, with array expansion enabled.
Companion Software
Structural Engineering of Microwave Antennas
Dual-clutch transmission with MATLAB scripts for optimizing the shift schedule.
The MATLAB software toolbox for MEG and EEG analysis
David Pozar Microwave Engineering Example 8.7
Problem from Engineering Optimization By S.S. Rao
Engineering Optimization By S.S. Rao Page No. : 289Algorithm and Hand Calculation Available in this text book
GUI for viewing various simple technical analysis indicators of a time series
Physical Modeling for Automotive Student Teams: Part 2 - 3D Suspension Modeling
Version 1.1
MathWorks Student Competitions TeamPart 2 Files of the Physical Modeling Online Training for Automotive Student Teams
A GUI application which conducts cycle analysis on a turbojet engine.
Determines what changes you should make to the signal during a psychoacoustic adaptive track.
Example complementing the blog post series “Unifying MATLAB and Simulink: A User Story Part” on the blog “Guy on Simulink”