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
11_3_1 The Gradient of a Multivariable Function
Using the partial derivatives of a multivariable function to construct its gradient vector.
From playlist Advanced Calculus / Multivariable Calculus
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
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
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
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
AI Weekly Update Overview - July 15th, 2021
Notion Link: https://ebony-scissor-725.notion.site/Henry-AI-Labs-Weekly-Update-July-15th-2021-a68f599395e3428c878dc74c5f0e1124 The remainder of the update will be released shortly! Thanks for watching! Chapters 0:00 Introduction 0:14 Evaluating Large Language Models Trained on Code 1:08
From playlist AI Weekly Update - July 15th, 2021!
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!
Transformers can do both images and text. Here is why.
What are the differences between text and images? Why can neural networks process both? This video explains why Transformers are used on images, language or both combined! ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ 🔥 Optionally, pay us a coffee to boost our Coffee Bean production! ☕ Patreon: https://www.
From playlist The Transformer explained by Ms. Coffee Bean
Evolution And Diversification High Dimesional Phenotypic Spaces By Vaibhav Madhok
ORGANIZERS : Deepa Agashe and Kavita Jain DATE & TIME : 05 March 2018 to 17 March 2018 VENUE : Ramanujan Lecture Hall, ICTS Bangalore No living organism escapes evolutionary change. Evolutionary biology thus connects all biological disciplines. To understand the processes driving evolut
From playlist Third Bangalore School on Population Genetics and Evolution
Reconfigurable optical implementation of quantum (...) - V. Parigi - Workshop 1 - CEB T2 2018
Valentina Parigi (Sorbonne Univ., Paris) / 15.05.2018 Reconfigurable optical implementation of quantum complex networks We propose an experimental procedure for the optical implementation of quantum complex networks. The implementation of collections of systems arranged in a network stru
From playlist 2018 - T2 - Measurement and Control of Quantum Systems: Theory and Experiments
Jana Cslovjecsek: Efficient algorithms for multistage stochastic integer programming using proximity
We consider the problem of solving integer programs of the form min {c^T x : Ax = b; x geq 0}, where A is a multistage stochastic matrix. We give an algorithm that solves this problem in fixed-parameter time f(d; ||A||_infty) n log^O(2d) n, where f is a computable function, d is the treed
From playlist Workshop: Parametrized complexity and discrete optimization
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
Pushing the Envelope: Advanced Strategies in Data Modeling
Evolved Analytics' DataModeler package for Mathematica was developed for industrial-strength data analysis and modeling. Mark Kotanchek, the developer of the package, gave an overview of some its features at the Wolfram Technology Conference 2010. In this video, Kotanchek highlights the
From playlist Wolfram Technology Conference 2010
AI Weekly Update Overview - July 22nd, 2021 (#39)
Notion Link: https://ebony-scissor-725.notion.site/Henry-AI-Labs-Weekly-Update-July-22nd-2021-0c43042b93a3459c901f7f5973b949bf Thank you for watching! Please Subscribe! Chapters 0:00 Introduction 0:13 BlenderBot 2.0 2:28 Wordcraft 3:20 Hyper-Text Pre-Training and Prompting 4:18 Deduplica
From playlist AI Weekly Update - July 22nd, 2021
AI Weekly Update - April 27th, 2020 (#19)
Thanks for watching! Please Subscribe! Please check out Machine Learning Street Talk! https://www.youtube.com/channel/UCMLtBahI5DMrt0NPvDSoIRQ Chip Design with Reinforcement Learning: https://ai.googleblog.com/2020/04/chip-design-with-deep-reinforcement.html Jeff Dean ISSCC Keynote on The
From playlist AI Research Weekly Updates
AI Weekly Update - May 26th, 2020 (#22)
Thank you for watching! Please Subscribe! ZeRO-2 & DeepSpeed: https://www.microsoft.com/en-us/research/blog/zero-2-deepspeed-shattering-barriers-of-deep-learning-speed-scale/?OCID=msr_blog_deepspeed2_build_tw Open-Sourcing BiT: https://ai.googleblog.com/2020/05/open-sourcing-bit-exploring
From playlist AI Research Weekly Updates
Matt Moores - The Annealed Leap-Point MCMC Sampler (ALPS) for multi-modal posterior distributions
Dr Matt Moores (University of Wollongong) presents, "The Annealed Leap-Point MCMC Sampler (ALPS) for multi-modal posterior distributions", 10 June 2022.
From playlist Statistics Across Campuses
12_2_1 Taylor Polynomials of Multivariable Functions
Now we expand the creation of a Taylor Polynomial to multivariable functions.
From playlist Advanced Calculus / Multivariable Calculus
[T1 2022] Sébastien Lion Multi-morph eco-evolutionary dynamics time scales and population structure
Our understanding of the evolution of quantitative traits in nature is still limited by the challenge of including realistic trait distributions in the context of frequency-dependent selection and ecological feedbacks. In this talk, I will discuss a recently introduced oligo-morphic approx
From playlist [T1 2022] Workshop - Mathematical models in ecology and evolution - March 21st to 25th, 2022