From playlist C. Applications of Differential Calculus
The advantage of duration is convenience: a single measure summarizes the sensitivity of bond price to yield changes. The disadvantage of duration owes to the same thing: duration is a single-factor approach. As a (first-order derivative) linear approximation, it assumes a parallel shift i
From playlist Bonds: Sensitivities
Time, Speed, Distance Tricks - Variation (GMAT/GRE/CAT/Bank PO/SSC CGL) | Don't Memorise
Using Direct and Indirect Variation is a good way to solve Time, Speed and Distance problems. To Learn More about Time, Speed, and Distance, enroll in our full course now: https://bit.ly/TimeSpeedDistanceWork_DM In this video, we will learn: 0:00 Time Speed Distance formula 0:34 rela
From playlist Time, Speed, Distance, Work (GMAT/GRE/CAT/Bank PO/SSC CGL)
Irrigation Efficiencies - Part 1
From playlist TEMP 1
The way how to show time using clocks. It is 12 hours video you can use as a screensaver on clock, every number changing is completely random. Please enjoy.
From playlist Timers
Average Rate of Change Examples
In this video we see two examples of word problems involving the average rate of change. Remember the average rate of change formula: (f(b) - f(a))/(b-a)
From playlist Calculus
Calculus - Find the average rate of change of a function on
This video covers how to find the average rate of change of a function over some interval. For more videos visit http://www.mysecretmathtutor.com
From playlist Calculus
Ex: Use the Gradient to Find the Maximum Rate of Increase of f(x,y)=(4y^5)/x from a Point
This video explains how to use the gradient of a function of two variables to determine the maximum rate of a function of two variable from a given point. The results are explains graphically. Site: http://mathispower4u.com
From playlist The Chain Rule and Directional Derivatives, and the Gradient of Functions of Two Variables
Disk Margins for MIMO Systems | Robust Control, Part 3
Watch the first two videos in this series: Robust Control, Part 1: What Is Robust Control? - https://youtu.be/A7wHSr6GRnc Robust Control, Part 2: Understanding Disk Margin - https://youtu.be/XazdN6eZF80 This video shows how margin can be used to assess the robustness of multi-input, mult
From playlist Robust Control
EE102: Introduction to Signals & Systems, Lecture 18
These lectures are from the EE102, the Stanford course on signals and systems, taught by Stephen Boyd in the spring quarter of 1999. More information is available at https://web.stanford.edu/~boyd/ee102/
From playlist EE102: Introduction to Signals & Systems
What is a second: from fizzics.org
The second is the International base unit of time but how is it defined? Here is an explanation.
From playlist Units of measurement
Working with Parameter Uncertainty | Robust Control, Part 4
Watch the first videos in this series: Robust Control, Part 1: What Is Robust Control? - https://youtu.be/A7wHSr6GRnc Robust Control, Part 2: Understanding Disk Margin - https://youtu.be/XazdN6eZF80 Robust Control, Part 3: Disk Margins for MIMO Systems - https://youtu.be/sac_IYBjcq0 The
From playlist Robust Control
Understanding Disk Margin | Robust Control, Part 2
Watch the other videos in this series: Robust Control, Part 1: What Is Robust Control? - https://youtu.be/A7wHSr6GRnc Robust Control, Part 2: Understanding Disk Margin - https://youtu.be/XazdN6eZF80 Robust Control, Part 3: Disk Margins for MIMO Systems - https://youtu.be/sac_IYBjcq0 As w
From playlist Robust Control
Teaching Modeling and Controls with the MATLAB Live Editor
Try the interactive control tutorials in your browser: https://bit.ly/3p95sBW In this webinar, Professor Richard Hill demonstrates how to use the MATLAB Live Editor to help your instruction come alive. Learn how you can create engaging lectures, virtual labs, and interactive homework assi
From playlist Teaching with MATLAB and Simulink
EE102: Introduction to Signals & Systems, Lecture 24
These lectures are from the EE102, the Stanford course on signals and systems, taught by Stephen Boyd in the spring quarter of 1999. More information is available at https://web.stanford.edu/~boyd/ee102/
From playlist EE102: Introduction to Signals & Systems
Multiple Timescales of Neuronal Computation - Adrienne Fairhall
2015 Joshua Lederberg - John von Neumann Symposium "Towards Quantitative Biology" Adrienne Fairhall University of Washington, Seattle December 2, 2015 https://www.sns.ias.edu/scsb/lederberg-vonneumann2015 More videos on http://video.ias.edu
From playlist Joshua Lederberg - John von Neumann Symposium
EE102: Introduction to Signals & Systems, Lecture 25
These lectures are from the EE102, the Stanford course on signals and systems, taught by Stephen Boyd in the spring quarter of 1999. More information is available at https://web.stanford.edu/~boyd/ee102/
From playlist EE102: Introduction to Signals & Systems
13. Continuous-Time (CT) Feedback and Control, Part 2
MIT MIT 6.003 Signals and Systems, Fall 2011 View the complete course: http://ocw.mit.edu/6-003F11 Instructor: Dennis Freeman License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.003 Signals and Systems, Fall 2011
a problem connecting the scale of large numbers and our measure of time
From playlist Exponents
Lec 11 | MIT 6.002 Circuits and Electronics, Spring 2007
Small signal circuits View the complete course: http://ocw.mit.edu/6-002S07 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.002 Circuits and Electronics, Spring 2007