Browsing OU - OER - Ancillary Materials by Title
Now showing items 26-45 of 46
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5.1 - Introduction to Optimization & Analytical Sol.
(7/9/18)In this lesson you'll learn about optimization, minimums, maximums, and a saddle. You’ll learn the difference between a local and global optima, the Second Derivative Test, contour lines, and how to graph a 2D function in Excel. -
5.2 - 1D Optimization - Gold-Section Search
(7/11/18)In this lesson you'll learn about how to apply the golden section search technique to find Minimum and Maximum of a 1D Function in addition to how to develop a golden section search technique -
5.3 - 1D Optimization - Newton Raphson
(7/10/18)In this lesson you'll learn about how to apply Newton Raphson Root finding Technique to find Minimum and Maximum of a 1D Function and how to adjust a Newton Raphson root finding code to find the optima of a function -
5.4 - 2D Optimization - Gradient Descent
(7/17/18)In this lesson you'll learn about how to apply the gradient decent/ascent method to find optimum min and max of a 2D function and learn how to code a gradient descent code -
5.5 - Non Linear Optimization Using Solver
(7/14/18)In this lesson you'll learn about how to use Excel's inbuilt Solver tool to solve optimization problems -
6.1 - Linear Regression
(7/13/18)In this lesson you'll learn about how to best fit a line to a set of linear data points and how to develop a linear regression program. This is followed by a comparison of the results to Excel's inbuilt linear regression function -
6.2 - Polynomial Regression
(7/16/18)In this lesson you'll learn about how to find the best fit line to a set of curved data points and how to develop a polynomial regression program. This in followed by a comparison to the results from Excel's inbuilt linear ... -
6.3 - Linearization (Log & Hyperbolic)
(7/17/18)In this lesson you'll learn about how to best fit a line using regression analysis to fit a log trend and hyperbolic trend. -
6.4 - Cubic Spline
(7/31/18)In this lesson you'll learn about how to apply cubic spline to interpolate a value between two points and how to develop a cubic spline code in VBA programming language -
7.1 - Trapezoidal Rule
(7/19/18)In this lesson you'll learn about how to approximate an area under the curve using the Trapezoidal rule and how to develop a VBA code to implement this technique to any desired approximate error. -
7.2 - Simpson's 13 Rule
(7/20/18)In this lesson you'll learn about how to approximate an area under the curve using the Simpson's 1/3 Rule and how to develop a VBA code to implement this technique to any desired approximate error in addition to how the ... -
7.3 - Romberg Integration
(7/26/18)In this lesson you'll learn about how to approximate an area under the curve using Romberg Integration, how to develop a VBA code to implement this technique to any desired approximate error in addition to how Romberg ... -
7.4 - Conv. Forward Vs. Conv. Centered (1st & 2nd Derivative)
(7/23/18)In this lesson you'll learn about how to approximate derivatives using the conventional forward and centered finite difference approximations -
7.5 - High Accuracy Vs. Conv. Centered (1st & 2nd Derivatives)
(7/23/18)In this lesson you'll learn about how to approximate derivatives using the High Accuracy centered finite difference approximations and how it compares to the conventional finite approximations -
8.1 - Euler's Method
(7/27/18)In this lesson you'll learn about the concept behind applying Euler's Method to solve Ordinary Differential Equations and learn how to write a VBA code to apply Euler's Method -
8.2 - Euler's Method - Newton's Cooling Law
(7/27/18)In this lesson you'll learn an additional example on the application of Euler's Methods using Newton's Cooling Law -
8.3 - Improvements on Euler (Heun's, Midpoint & Ralston)
(7/28/18)In this lesson you'll learn about three techniques to improve Euler's Solution, and learn how to write a VBA program to apply all three techniques. -
8.4 - Runge Kutta Methods (2nd & 4th Order)
(7/28/18)In this lesson you'll learn about a class of equations called the Runge Kutta Methods and the Fourth Order Runge Kutta Method -
Lab Manual for Nonmajors Biology
(2019-02)Lab manual for use in college-level nonmajors biology courses. Lab manual includes lab safety guidelines and labs for process and tools of science; using the microscope; digestion; food microbiology; bacteria and disease; ... -
Practice Problems in Biomedical Organic Chemistry: Self-Guided Problems and Answers for Students in Bioorganic and Organic Chemistry, Volume I
(2016-08)This problem set was developed to assist undergraduate students taking a one semester or two semester, non-majors course in organic chemistry. Students in these courses often come to organic chemistry from diverse backgrounds ...