Intro Into Multi Objective Optimization
Multi-objective optimization (also known as multi-objective programming, vector optimization, multiattribute optimization or Pareto optimization) is an area of multiple criteria decision making that is concerned with mathematical optimization problems involving more than one objective func
From playlist Software Development
13_2 Optimization with Constraints
Here we use optimization with constraints put on a function whose minima or maxima we are seeking. This has practical value as can be seen by the examples used.
From playlist Advanced Calculus / Multivariable Calculus
Continuous multi-fidelity optimization
This video is #8 in the Adaptive Experimentation series presented at the 18th IEEE Conference on eScience in Salt Lake City, UT (October 10-14, 2022). In this video, Sterling Baird @sterling-baird presents on continuous multifidelity optimization. Continuous multi-fidelity optimization is
From playlist Optimization tutorial
Discrete multi-fidelity optimization
This video is #9 in the Adaptive Experimentation series presented at the 18th IEEE Conference on eScience in Salt Lake City, UT (October 10-14, 2022). In this video, Sterling Baird @sterling-baird presents on discrete multi-fidelity optimization. In discrete multi-fidelity optimization, t
From playlist Optimization tutorial
13_1 An Introduction to Optimization in Multivariable Functions
Optimization in multivariable functions: the calculation of critical points and identifying them as local or global extrema (minima or maxima).
From playlist Advanced Calculus / Multivariable Calculus
6. Design Definition and Multidisciplinary Optimization
MIT 16.842 Fundamentals of Systems Engineering, Fall 2015 View the complete course: http://ocw.mit.edu/16-842F15 Instructor: Olivier de Weck In this lecture, students learned the process overview in the NASA design definition process and how to optimize the design. License: Creative Comm
From playlist MIT 16.842 Fundamentals of Systems Engineering, Fall 2015
11_2_1 The Geomtery of a Multivariable Function
Understanding the real-life 3D meaning of a multivariable function.
From playlist Advanced Calculus / Multivariable Calculus
Solving an equation with variables on both side and one solution
👉 Learn how to solve multi-step equations with variable on both sides of the equation. An equation is a statement stating that two values are equal. A multi-step equation is an equation which can be solved by applying multiple steps of operations to get to the solution. To solve a multi-s
From playlist Solve Multi-Step Equations......Help!
11_3_6 Continuity and Differentiablility
Prerequisites for continuity. What criteria need to be fulfilled to call a multivariable function continuous.
From playlist Advanced Calculus / Multivariable Calculus
Solving a multi-step equation by multiplying by the denominator
👉 Learn how to solve multi-step equations with variable on both sides of the equation. An equation is a statement stating that two values are equal. A multi-step equation is an equation which can be solved by applying multiple steps of operations to get to the solution. To solve a multi-s
From playlist How to Solve Multi Step Equations with Variables on Both Sides
Scott Delp: Better gait, better life
Read more: https://stanford.io/38A1ucN A biomechanical engineer explains how new diagnostics and improved understanding of human movement are yielding great leaps forward in the treatment of motor dysfunction. Engineer Scott Delp first got interested in the details of human movement whe
From playlist The Future of Everything
How Does BIM Impact Design? | Casey Rutland | The B1M
How does building information modelling (BIM) affect the process of designing built assets? Casey Rutland, Associate Director at Arup Associates, explains in this excellent eight minute video. “This isn’t about software or clients having to ask for something” says Casey. “It’s about dig
From playlist BIM for Architects | The B1M
Mike Lepech: How do you quantify urban quality of life?
Quality of life is something that we feel very intuitively, but how do we quantify it? In a presentation at the Digital Cities Summit 2016, Stanford associate professor of civil and environmental engineering Mike Lepech outlines how pinpointing the right metrics for things like safety and
From playlist Digital Cities Summit 2016
People-centric AI for the built environment: Burcin Becerik-Gerber, USC
Speaker: Burcin Becerik-Gerber (University of Southern California, US) With the recent advancements in data science and artificial intelligence, we will soon have different experiences with our built environments. This inevitable change will impact our everyday experiences, causing novel
From playlist Data-Centric Engineering Seminar Series
Alán Aspuru-Guzik: "Do androids dream of electric molecules?"
New Deep Learning Techniques 2018 "Do androids dream of electric molecules?" Alán Aspuru-Guzik, Harvard University Abstract: The world faces several challenges and opportunities associated with new materials. For example, in the field of renewable energy, access to cheap battery material
From playlist New Deep Learning Techniques 2018
Vimal Viswanathan: "A Halbach Array-Based Levitating Pod"
LoopTransPort 2018 Conference (with Hyperloop Advanced Research Partnership) "A Halbach Array-Based Levitating Pod" Vimal Viswanathan (presenter), Ali-Imran Tayeb, San Jose State University, Spartan Hyperloop (San Jose, California) Abstract: Spartan Hyperloop is a multidisciplinary engin
From playlist LoopTransPort 2018 Conference
Interbank networks and Systemic risk by Srikanth Iyer
Modern Finance and Macroeconomics: A Multidisciplinary Approach URL: http://www.icts.res.in/program/memf2015 DESCRIPTION: The financial meltdown of 2008 in the US stock markets and the subsequent protracted recession in the Western economies have accentuated the need to understand the dy
From playlist Modern Finance and Macroeconomics: A Multidisciplinary Approach
Design Thinking and Peak Performance - Stanford Innovation Masters Series
It is clear that innovation is critical to customers and businesses alike, more so now than ever. But in a company, generational gaps can often limit or stifle innovation as older managers, used to hierarchy, often fail to elicit ideas from those younger contributors. Watch this webinar to
From playlist Stanford Webinars
This session showcases multidisciplinary research happening across labs in the UK, from the biosciences, through to chemistry and astrophysics with a Q&A at the end. --- The event took place via an online platform designed to bring a community together. The two interactive stages includ
From playlist AIUK 2021
Using MultiStart for Optimization Problems
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Find the best-fit parameters for an exponential model. For more videos, visit http://www.mathworks.com/products/global-optimization/examples.html
From playlist Math, Statistics, and Optimization