APMonitor
Mathematical Optimization with Python
This tutorial demonstrates how to solve a simple mathematical optimization problem with four variables, one objective function, one equality constraint, and an inequality constraint. The problem is solved with the APMonitor toolbox in...
APMonitor
Solve Nonlinear Equations with Excel
Microsoft Excel is used to solve a set of nonlinear equations with the Excel solver add-in.
APMonitor
Solve Nonlinear Equations with Microsoft Excel
The GRG (Generalized Reduced Gradient) solver in Excel can be used to solve sets of nonlinear equations. The nonlinear functions are input as cells and equation residuals are minimized. Functions can either be included as equality...
APMonitor
Analyze Stock Data with Microsoft Excel
Visualization of data is a powerful method to see trends and make decisions. Microsoft Excel trending capabilities are tools to visualize large data sets, such as financial information on company performance.
Executive Finance
Improving the Monthly Close Process: Identifying Bottlenecks and Solutions
This video is a lesson for financial professionals on how to improve their monthly close process. The speaker discusses common bottlenecks and challenges, such as manual processes and lack of system integration, and offers suggestions...
APMonitor
Nonlinear Regression in MATLAB
A three parameter (a,b,c) model y = a + b/x + c ln(x) is fit to a set of data with the MATLAB APMonitor toolbox. This tutorial walks through the process of installing the solver, setting up the objective (normalized sum of squared...
APMonitor
MATLAB Nonlinear Optimization with fmincon
This step-by-step tutorial demonstrates fmincon solver on a nonlinear optimization problem with one equality and one inequality constraint. Visit http://apmonitor.com/che263/index.php/Main/MatlabOptimization for source code.
APMonitor
Linear and Polynomial Regression in Python
This brief tutorial demonstrates how to use Numpy and SciPy functions in Python to regress linear or polynomial functions that minimize the least squares difference between measured and predicted values. Source Code:...
APMonitor
Linear and Nonlinear Regression in Python
Polynomial or general nonlinear functions are developed with Numpy and Scipy in Python. These exercises also cover methods to create linear or spline interpolations that interpolate between data points.
APMonitor
MathCAD Graphing and Calculus
Plotting expressions is important to visualize data, relationships between variables, and perform analysis. Mathcad plotting allows visualization of variable values, functions, and data points. Included in this demonstration is common...
APMonitor
Symbolic Manipulation in Python
The SymPy package computes symbolic solutions to simplify, expand, factor, differentiate, integrate, and solve equations. These problems cover a range of SymPy functions.
Flipping Physics
Harnessing the Power of Spreadsheets in Physics
Basic demonstration of how to use spreadsheets in an introductory physics class.
Catalyst University
Lineweaver-Burke Plots Introduction and Theory
Lineweaver-Burke Plots Introduction and Theory
Brian McLogan
Eliminate the parameter to obtain a sideways parabola
I make short, to-the-point online math tutorials. I struggled with math growing up and have been able to use those experiences to help students improve in math through practical applications and tips. I believe everyone can learn math...
APMonitor
Regression with MATLAB fmincon
A frequent activity in data science and machine learning is to develop correlations from data. By importing the data into MATLAB, data analysis such as statistics, trending, or calculations can be made to synthesize the information into...
APMonitor
MATLAB User Defined Custom Functions
User-defined functions are routines in MATLAB that typically input data or arguments, perform custom calculations, and return one or multiple results. This introduction to functions is part of the programming course for engineers at...
APMonitor
Solve Nonlinear Equations with Python
This tutorial demonstrates how to set up and solve a set of nonlinear equations in Python using the SciPy Optimize package.
APMonitor
Data Science 🐍 Import / Export
Python has functions for reading, creating, and deleting files. The high-level steps for many data science applications is to import data, analyze data, and export results. A basic function for working with files is open(filename,mode)....
APMonitor
Nonlinear Regression in Microsoft Excel
A three parameter (a,b,c) model y = a + b/x + c ln(x) is fit to a set of data with the Excel solver add-in. This tutorial walks through the process of installing the solver, setting up the objective (normalized sum of squared errors),...
APMonitor
Set axis limits with Matplotlib in Python
Setting axis limits, adding a legend, configuring marker size, and other custom configurations are effective ways to improve the readability of a plot in Python.
Curated Video
Cypress - Modern Automation Testing from Scratch + Framework - Exploring the Cypress Project Framework Structure
This video explains exploring the Cypress project framework structure. This clip is from the chapter "Introduction to Cypress Test Runner and Command-Line Features" of the series "Cypress - Modern Automation Testing from Scratch +...
Catalyst University
NO BS: Microsoft Excel 2016 Data Analysis Toolpak (On Windows)
NO BS: Microsoft Excel 2016 Data Analysis Toolpak (On Windows)
APMonitor
Solve Differential Equations in MATLAB and Simulink
This introduction to MATLAB and Simulink ODE solvers demonstrates how to set up and solve either one or multiple differential equations. The equations can be linear or nonlinear.
Catalyst University
NO BS: Download Microsoft Excel 2016 Data Analysis Toolpak (On Mac)
NO BS: Download Microsoft Excel 2016 Data Analysis Toolpak (On Mac)