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Optimization - New Videos

❖ Optimization Problem #1 ❖❖ Optimization Problem #1 ❖
00:07:14April 1, 2008, 12:25 pm
❖ Optimization Problem #1 ❖

Channel: patrickJMT & Total View: 811363


Add Date: April 1, 2008, 12:25 pm & Duration: 00:07:14


Likes: 2970 | Dislike: 98


Tags:

math, calculus, optimization, problem, derivative, derivatives, maximum, minimum, free, SAT, ACT, test, exam, university, college, high school

Optimization Problem #2 http://www.youtube.com/watch?v=EOJbmMB8uCQ
An Optimization is Shown using Derivatives. I have posted another examples as well! For more free math videos, visit http://PatrickJMT.com

Optimization Calculus - Fence Problems, Cylinder, Volume of Box, Minimum Distance & Norman Window

Channel: The Organic Chemistry Tutor & Total View: 68815


Add Date: November 19, 2016, 5:06 am & Duration: 01:19:15


Likes: 721 | Dislike: 11


Tags:

optimization calculus, optimization fence problem, optimization cylinder, optimization volume of a box, box, optimization minimum distance, optimization norman window, optimization, surface area, word problems, area, fence problems cost, cost, cylinder, volume, perimeter, sum, product, minimum distance, norman window, open box, minimize, distance, ap calc, ap calculus, calculus, problems, examples, techniques, calculus 1

This calculus video tutorial explains how to solve optimization problems such as the fence problem along the river, fence problem with cost, cylinder problem, volume of a box, minimum distance between two points, and the norman window problem. This video contains plenty of examples and practice problems. It's useful for high schools taking ap calculus or college students taking calculus 1.

Here is a list of topics:
1. Optimization Word Problems - Technique - Maximum and Minimum Values
2. First Derivative and Critical Numbers - Horizontal Tangents
3. Constraint Equation vs Objective Function
4. Sum and Product of Two Numbers
5. Area and Perimeter Problems
6. Fence Problem - Rectangular Field of Area Along River - Maximizing Area
7. Fence Problem With 4 Pens
8. Minimizing Cost of a material
9. Volume of a box problem - Square Base and Open Top
10. Surface Area of Box Problem
11. Cardboard Box Problem - Cutting Square Corners to Make a Rectangular Box - Maximum Volume
12. Cylinder / Cylindrical Can Problem - Minimize Cost of Metal - Surface Area and Volume - Radius, Height, Circumference, & Circular Area
13. Cylinder Problem - Volume of Prism & Surface Area - Area of Base Plus Lateral Area

Optimization with Calculus 1Optimization with Calculus 1
00:09:51June 15, 2008, 5:46 pm
Optimization with Calculus 1

Channel: Khan Academy & Total View: 483333


Add Date: June 15, 2008, 5:46 pm & Duration: 00:09:51


Likes: 1131 | Dislike: 30


Find two numbers whose products is -16 and the sum of whose squares is a minimum.

Practice this yourself on Khan Academy right now: https://www.khanacademy.org/e/optimization?utm_source=YTdescription&utm_medium=YTdescription&utm_campaign=YTdescription

Calculus 1 Lecture 3.7: Optimization; Max/Min Application Problems

Channel: Professor Leonard & Total View: 127619


Add Date: January 16, 2014, 3:11 pm & Duration: 01:34:43


Likes: 854 | Dislike: 11


Tags:

Leonard, Calculus (Concepts/Theories), Lecture (Type Of Public Presentation), Mathematical Optimization, Calculus (Field Of Study)

Calculus 1 Lecture 3.7: Optimization; Max/Min Application Problems

Optimization - Calculus (KristaKingMath)Optimization - Calculus (KristaKingMath)
00:09:18June 5, 2012, 8:03 am
Optimization - Calculus (KristaKingMath)

Channel: Krista King & Total View: 217662


Add Date: June 5, 2012, 8:03 am & Duration: 00:09:18


Likes: 1351 | Dislike: 69


Tags:

global minima, decreasing, global maxima, expert, extrema, calculus, first derivative test, critical points, constraint equation, local maxima, local minima, optimization, dimensions, number line, increasing, optimization equation, educational, open topped box, surface area, applied optimization

► My Applications of Derivatives course: https://www.kristakingmath.com/applications-of-derivatives-course

Understand one of the hardest and most common applications of derivatives, optimization and it's applications.

Review the open topped box example to get a better grasp on applied optimization.

● ● ● GET EXTRA HELP ● ● ●

If you could use some extra help with your math class, then check out Krista’s website // http://www.kristakingmath.com

● ● ● CONNECT WITH KRISTA ● ● ●

Hi, I’m Krista! I make math courses to keep you from banging your head against the wall. ;)

Math class was always so frustrating for me. I’d go to a class, spend hours on homework, and three days later have an “Ah-ha!” moment about how the problems worked that could have slashed my homework time in half. I’d think, “WHY didn’t my teacher just tell me this in the first place?!”

So I started tutoring to keep other people out of the same aggravating, time-sucking cycle. Since then, I’ve recorded tons of videos and written out cheat-sheet style notes and formula sheets to help every math student—from basic middle school classes to advanced college calculus—figure out what’s...

Introduction to Optimization: What Is Optimization?

Channel: AlphaOpt & Total View: 8037


Add Date: March 29, 2017, 1:12 pm & Duration: 00:03:57


Likes: 61 | Dislike: 4


A basic introduction to the ideas behind optimization, and some examples of where it might be useful.

TRANSCRIPT:
Hello, and welcome to Introduction to Optimization. This video provides a basic answer to the question, “What is optimization?”

In simplest terms, optimization is choosing inputs that will result in the best possible outputs, or making things the best that they can be.

This can mean a variety of things, from deciding on the most effective allocation of available resources, to producing a design with the best characteristics, to choosing control variables that will cause a system to behave as desired.

Optimization problems often involve the words maximize or minimize. Optimization is also useful when there are limits (or constraints) on the resources involved, or boundaries restricting the possible solutions.

Let’s take a look at a very simple example of an optimization problem:
Given a parabola, chose x to get the largest y.
We can try different x values to see the resulting y value. Eventually we can find the maximum y value by choosing x here. You may also have solved this type of problem in calculus class by taking the derivative of the parabola and setting it equal to zero.

Optimization Calculus 1 - 2 ProblemsOptimization Calculus 1 - 2 Problems
00:17:54November 4, 2014, 12:58 pm
Optimization Calculus 1 - 2 Problems

Channel: Calcworkshop.com - Calculus Videos & Total View: 102865


Add Date: November 4, 2014, 12:58 pm & Duration: 00:17:54


Likes: 727 | Dislike: 24


Tags:

optimization problems, optimization calculus examples, calcworkshop, optimization calculus, optimization, calculus optimization, calculus, Calculus (Field Of Study), tutorial, calculus 1, education, applications of derivatives

Calculus Optimization Problems: 3 Simple Steps to Solve All

Step 1: Get Two Equations

Step 2: Plug One Equation into the Other & Simplify

Step 3: Take the Derivative of this New Equation and Set Equal to Zero & Solve

That's it - Done - Happy Day! ;-)

This video contains a lesson and 2 step by step examples.

Example 1: Optimization Overview (product and sum of 2 numbers)

Example 2: Optimize the area of a pen for a dairy farmer

More Optimization Examples at Calcworkshop.com

1 - Optimize the area of a geometric shape (rectangle)
2 - Optimize the volume of a geometric shape (box)
3 - Optimize the area of a corral for a rancher
4 - Optimize the shortest distance between two points and a curve
5 - Optimize the area of text on a page

For more lessons and step-by-step examples on all topics in Calculus

Calcworkshop.com

SUBSCRIBE for Improved Grades ➜ http://www.youtube.com/c/Calcworkshop?sub_confirmation=1

1. Introduction and Optimization Problems1. Introduction and Optimization Problems
00:40:57May 19, 2017, 8:55 am
1. Introduction and Optimization Problems

Channel: MIT OpenCourseWare & Total View: 66696


Add Date: May 19, 2017, 8:55 am & Duration: 00:40:57


Likes: 750 | Dislike: 14


Tags:

optimization, python, knapsack problem, brute force algorithm, greedy algorithm, weights, models, computational thinking, data science

MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016
View the complete course: http://ocw.mit.edu/6-0002F16
Instructor: John Guttag

Prof. Guttag provides an overview of the course and discusses how we use computational models to understand the world in which we live, in particular he discusses the knapsack problem and greedy algoriths.

License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

Optimization Problem #2Optimization Problem #2
00:07:06April 1, 2008, 12:35 pm
Optimization Problem #2

Channel: patrickJMT & Total View: 402920


Add Date: April 1, 2008, 12:35 pm & Duration: 00:07:06


Likes: 1640 | Dislike: 29


Tags:

optimization, math, calculus, derivative, derivatives, optimize, austin, tutor

Optimization Problem #3 http://www.youtube.com/watch?v=IRWuAoqeeGM
Another Optimization Problem using Derivatives! For more free math videos, visit http://PatrickJMT.com

Austin Math Tutor, Austin Math Tutoring, Austin Algebra Tutor, Austin Calculus Tutor

Lecture 1 | Convex Optimization I (Stanford)Lecture 1 | Convex Optimization I (Stanford)
01:20:33July 9, 2008, 1:19 am
Lecture 1 | Convex Optimization I (Stanford)

Channel: Stanford & Total View: 346061


Add Date: July 9, 2008, 1:19 am & Duration: 01:20:33


Likes: 1026 | Dislike: 32


Tags:

science, electrical, engineering, technology, convex, optimization, least, squares, constraint, function, portfolio, circuit, data, fitting, ellipsoid, control, signal, processing

Professor Stephen Boyd, of the Stanford University Electrical Engineering department, gives the introductory lecture for the course, Convex Optimization I (EE 364A).

Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interior-point methods. Applications to signal processing, control, digital and analog circuit design, computational geometry, statistics, and mechanical engineering.

Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=3940DD956CDF0622

EE 364A Course Website:
http://www.stanford.edu/class/ee364

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford/

Convex Optimization and Applications - Stephen BoydConvex Optimization and Applications - Stephen Boyd
02:31:46August 28, 2015, 12:28 pm
Convex Optimization and Applications - Stephen Boyd

Channel: Calit2ube & Total View: 13196


Add Date: August 28, 2015, 12:28 pm & Duration: 02:31:46


Likes: 129 | Dislike: 1


Tags:

UCSD, UC San Diego, Calit2, Qualcomm Institute, NASIT, North American School of Information Technology, Syed Jafar, 08/10/2015, Summer School, Information Theory, Information, Software, Data, System, Technology, Mathematics (Field Of Study), Mathematical Optimization (Field Of Study)

Convex Optimization and Applications with Stephen Boyd

Nonlinear OptimizationNonlinear Optimization
00:15:32April 16, 2014, 7:13 am
Nonlinear Optimization

Channel: Shobina Ahmed & Total View: 31067


Add Date: April 16, 2014, 7:13 am & Duration: 00:15:32


Likes: 156 | Dislike: 7


Tags:

Bisection method, Newton method, Quasi-Newton, DFP, BFGS, Optimisation, Optimality conditions, One variable, N-Variable, Secant Method, Wolfe's condtitions, Perfect line search, Weak line search, project, University of Hertfordshire, Mathematics, Iterations, Iterative, Linear, wolfe

My Project videocast on Non-linear Optimization, from University of Hertfordshire.

(ML 15.1) Newton's method (for optimization) - intuition

Channel: mathematicalmonk & Total View: 44384


Add Date: July 12, 2011, 1:04 pm & Duration: 00:11:16


Likes: 254 | Dislike: 3


Tags:

Newton's, method, for, optimization, intuition

Calculus 3 Lecture 13.9: Constrained Optimization with LaGrange Multipliers

Channel: Professor Leonard & Total View: 60988


Add Date: April 15, 2016, 1:18 pm & Duration: 00:58:33


Likes: 517 | Dislike: 7


Tags:

Math, Calculus, Calculus 3, Leonard, Professor Leonard, Mulitvariable, Function, Optimization, Constrained, Gradient, LaGrange, Multiplier, LaGrange Multiplier, Constrained Optimization

Calculus 3 Lecture 13.9: Constrained Optimization with LaGrange Multipliers: How to use the Gradient and LaGrange Multipliers to perform Optimization, with constraints, on Multivariable Functions.

Optimizing profit at a shoe factoryOptimizing profit at a shoe factory
00:11:27January 31, 2013, 11:03 am
Optimizing profit at a shoe factory

Channel: Khan Academy & Total View: 196007


Add Date: January 31, 2013, 11:03 am & Duration: 00:11:27


Likes: 150 | Dislike: 5


More free lessons at: http://www.khanacademy.org/video?v=dam16G6cZ8k

Constrained optimization introductionConstrained optimization introduction
00:06:29November 15, 2016, 10:23 am
Constrained optimization introduction

Channel: Khan Academy & Total View: 63559


Add Date: November 15, 2016, 10:23 am & Duration: 00:06:29


Likes: 253 | Dislike: 15


Tags:

lagrange multiplier, optimization, multivariable calculus

See a simple example of a constrained optimization problem and start getting a feel for how to think about it. This introduces the topic of Lagrange multipliers.

How to Optimize Windows 10 For GAMING & Power UsersHow to Optimize Windows 10 For GAMING & Power Users
00:16:10September 7, 2015, 8:38 pm
How to Optimize Windows 10 For GAMING & Power Users

Channel: Tech YES City & Total View: 1627898


Add Date: September 7, 2015, 8:38 pm & Duration: 00:16:10


Likes: 27664 | Dislike: 1102


Tags:

tech yes city windows 10 optimization guide, how to make windows 10 amaizng, how to optimise windows 10 for gaming, is windows 10 any good?, basic how to, advertising financial secretes, secretary, best product, youtube gaming, trading lawyer, attorney, surgery specialist, medical, tourist, travelling, best deals

*Buy Windows 10 Here for Cheap - http://amzn.to/2gySFqB

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Here is the guide of how to optimize windows 10 for gamers and also just speed up windows 10 in general. Also since privacy is a big concern going in with windows 10 I will show you guys how to make the OS less invasive than usual, though keep in mind that it still has some of these features baked into the core of the OS.

**If you have updated to anniversary edition then I have a new guide out here - https://www.youtube.com/watch?v=8U_R_tKwtas

The website I used to get the program installed near the end is www.ninite.com

Also the list of services i disabled were:
3 Xbox services
All Hyper-V services
Micosoft SMS router service
Diagnostics tracking service
fax service
dmwappushsvc
3 sensor services

also the command for disabling hibernation is open up command prompt as administrator and type in 'powercfg -h off'

Then there is the last question that I am sure a lot of people have on their mind, and that is "is windows 10 any...

Optimization Problem #5 - Max Volume of a Box Made From Square of Material

Channel: patrickJMT & Total View: 205950


Add Date: May 6, 2011, 8:23 am & Duration: 00:10:58


Likes: 926 | Dislike: 19


Tags:

optimization, volume, box, calculus, derivative, maximum, minimum

Optimization Problem #5 - Max Volume of a Box Made From Square of Material. In this video, I find the maximum volume of a box made from a 2ft x 2ft piece of metal when corners of equal size are removed and then the sides of the box are folded up.

Optimizing box volume graphicallyOptimizing box volume graphically
00:09:50January 31, 2013, 9:45 am
Optimizing box volume graphically

Channel: Khan Academy & Total View: 305632


Add Date: January 31, 2013, 9:45 am & Duration: 00:09:50


Likes: 110 | Dislike: 8


More free lessons at: http://www.khanacademy.org/video?v=MC0tq6fNRwU

Windows 10 Fall Creator's Update (FCU) OPTIMIZATION Guide

Channel: Tech YES City & Total View: 69738


Add Date: November 19, 2017, 11:00 pm & Duration: 00:18:05


Likes: 3906 | Dislike: 75


Tags:

windows 10, windows 10 fall creator's update, optimization guide, tutorial, guide, how to, make windows 10 faster, make windows 10 more snappy, optimize windows 10, power users, gamers, gaming pc, gaming computer, stuttering, fix computer problems, tech yes city, bryan, windows ten FCU, FCU, fall creator's update, how to update and turn off services, telemetry windows 10, microsoft windows - operating system, windows fall creators update, windows update, fall creators update

The gamer's requested, the power user's requested it... and here it is! The Fall Creator's Update optimization guide, with a focus on disabling and turning off settings that you don't need to help make a smooth gaming experience and also make your computer more snappy in the process.

Get a cheap copy of windows 10 here: http://rover.ebay.com/rover/1/711-53200-19255-0/1?icep_ff3=9&pub=5575232617&toolid=10001&campid=5337969792&customid=&icep_uq=windows+10+pro+key&icep_sellerId=&icep_ex_kw=&icep_sortBy=12&icep_catId=&icep_minPrice=&icep_maxPrice=&ipn=psmain&icep_vectorid=229466&kwid=902099&mtid=824&kw=lg

For a $1 a month you can help support the channel directly & gain access to an uncut special monthly live: http://www.patreon.com/techyescity

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Check out my Video Editing PC Here - http://amzn.to/2oFKlrb

-------------------------------------------------------------------------------------------------

Music Provided by either:...

Second Order Optimization - The Math of Intelligence #2

Channel: Siraj Raval & Total View: 41762


Add Date: June 23, 2017, 8:00 am & Duration: 00:10:54


Likes: 826 | Dislike: 29


Tags:

gradient descent, optimization, math, mathematical, math tutorial, math lesson, newtons method, convex, concave, f(x), machine learning, deep learning, artificial intelligence, linear, nonlinear, calculus, jacobian, hessian, gradient, derivative, linear regression, data, data science

Gradient Descent and its variants are very useful, but there exists an entire other class of optimization techniques that aren't as widely understood. We'll learn about second order method variants, how they compare to first order methods, and implement our own in Python.

Code for this video (with challenge):
https://github.com/llSourcell/Second_Order_Optimization_Newtons_Method

Alberto's Winning Code:
https://github.com/alberduris

Ivan's Runner up Code:
https://github.com/PiaFraus

Please Subscribe! And like. And comment. That's what keeps me going.

Course Syllabus:
https://github.com/llSourcell/The_Math_of_Intelligence

More learning resources:
https://web.stanford.edu/class/msande311/lecture13.pdf
https://www.cs.toronto.edu/~hinton/csc2515/notes/lec6tutorial.pdf
https://www.quora.com/In-mathematical-optimization-problems-the-first-derivative-is-often-used-Why-not-the-second-or-higher-order-derivatives
https://en.wikipedia.org/wiki/Newton%27s_method_in_optimization
https://www.youtube.com/watch?v=28BMpgxn_Ec&t=444s
https://www.youtube.com/watch?v=42zJ5xrdOqo&t=438s

Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/

And...

Optimizing your Wi-Fi Network as Fast As PossibleOptimizing your Wi-Fi Network as Fast As Possible
00:05:05April 18, 2014, 9:57 pm
Optimizing your Wi-Fi Network as Fast As Possible

Channel: Techquickie & Total View: 1060858


Add Date: April 18, 2014, 9:57 pm & Duration: 00:05:05


Likes: 19574 | Dislike: 258


Tags:

Wi-Fi (Brand), Optimize, tips, tricks

Wifi optimization tips - some of them are free, some cost money, but they all help save you the headache of dealing with slow, unreliable Internet browsing, video streaming, and file transfers!

Sponsor download links for Hotspot Shield:

1) Desktop Link (Mac or Windows):

Access US content: http://www.hotspotshield.com/lp/access_us_sites_elite_trial_amb6/?utm_source=linus&utm_medium=video&utm_campaign=accessuscontent

2) Android: http://bit.ly/1eIm8JB

3) iOS: http://bit.ly/1ebtGEH

Optimization Calculus Problems Minimizing Lengths READ DESCRIPTION

Channel: ProfRobBob & Total View: 34625


Add Date: August 31, 2013, 11:16 pm & Duration: 00:50:40


Likes: 267 | Dislike: 7


Tags:

Mathematical Optimization, Calculus (Concepts/Theories), optimization, optimize, calculus, minimize length, maximize, minimize perimeter, maximize area, minimize, hypotenuse, distance, point, function, tarrou, tarrou's, chalk, talk, profrobbob, Mathematics Education (Website Category), math, education, example, examples, free, lecture, notes, math lesson, optimization problem, optimization calculus

Examples: Minimizing Perimeter for Fixed Area 2:25
Distance from Point to Parabola Method 1 16:45
Distance from Point to Parabola Method 2 30:14
Minimizing Hypotenuse through a point Right Triangle 35:23
At minute 23:38 I should have started some scratch work on the side so it did not look like I forgot the radical. While I verbally said I was going to focus on minimizing the inside function to simplify my work, I should not have labelled this last line as d'. I am only finding the derivative of the inside function. If you minimize the inside function, you will minimize the distance. Focusing on just the inside function for this part of the problem minimizes the difficulty. A note about the end of the first example. Closest Point on Parabola is (3,f(3))
Relative Min for Distance is function is (3,4.123).

There are some annotations in this lesson so make sure you are using FLASH.

Optimization problems involving Volume
https://www.youtube.com/watch?v=_boUEAuCKsM

Check out http://www.ProfRobBob.com, there you will find my lessons organized by class/subject and then by topics within each class. Find free review test, useful notes and more at...

Tutorial: Introduction to OptimizationTutorial: Introduction to Optimization
01:12:26August 17, 2016, 5:48 pm
Tutorial: Introduction to Optimization

Channel: Center for Brains, Minds and Machines (CBMM) & Total View: 2805


Add Date: August 17, 2016, 5:48 pm & Duration: 01:12:26


Likes: 35 | Dislike: 0


Tags:

CBMM, Center for Brains Minds and Machines, Artificial Intelligence

Kevin Smith - MIT

Optimization Cylinder ProblemOptimization Cylinder Problem
00:08:08April 21, 2012, 6:01 am
Optimization Cylinder Problem

Channel: Joe Haas & Total View: 57282


Add Date: April 21, 2012, 6:01 am & Duration: 00:08:08


Likes: 382 | Dislike: 10


Tags:

Optimization, Cylinder, Problem

Optimization Problem #6 - Find the Dimensions of a Can To Maximize Volume

Channel: patrickJMT & Total View: 119865


Add Date: May 7, 2011, 6:04 pm & Duration: 00:08:20


Likes: 397 | Dislike: 11


Tags:

optimization, maximum, minimum, calculus, can, test, exam

Optimization Problem #6 - Find the Dimensions of a Can To Maximize Volume. In this video, we have a certain amount of material with which to make a cylindrical can. We have to find the radius and height that would maximize the volume of the can.

Lecture 8 | Convex Optimization I (Stanford)Lecture 8 | Convex Optimization I (Stanford)
01:16:30July 8, 2008, 6:30 pm
Lecture 8 | Convex Optimization I (Stanford)

Channel: Stanford & Total View: 58477


Add Date: July 8, 2008, 6:30 pm & Duration: 01:16:30


Likes: 210 | Dislike: 5


Tags:

science, electrical, engineering, technology, convex, optimization, least-norm, affine, minimization, two-way, partitioning, Slater's, constraint, qualification, complementary, slackness, epigraph

Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on duality in the realm of electrical engineering and how it is utilized in convex optimization for the course, Convex Optimization I (EE 364A).

Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interior-point methods. Applications to signal processing, control, digital and analog circuit design, computational geometry, statistics, and mechanical engineering.

Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=3940DD956CDF0622

EE 364A Course Website:
http://www.stanford.edu/class/ee364

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford/

PUBG 1.0 Optimization Guide: How to Increase FPS, See MORE Enemies (Dec 17) - Battlegrounds Settings

Channel: wtfmoses & Total View: 176713


Add Date: December 19, 2017, 10:07 pm & Duration: 00:10:25


Likes: 3081 | Dislike: 223


Tags:

wtfmoses, pubg optimization guide, how to get more fps pubg, pubg increase fps, pubg spot enemies, battlegrounds, pubg, pubg fps, battlegrounds fps, pubg fps boost, how to increase fps in pubg, playerunknown's battlegrounds fps boost, pubg settings, pubg fps guide, how to get more fps, boost battlegrounds fps, get more fps pubg, battlegrounds fps guide, fps boost pubg, guide, battleground fps, lag fix, pubg xbox one, how to reshade, battlegrounds settings, pubg ultra, 2017

Hello! With PUBG 1.0 launch right around the corner, I thought I'd update my FPS and optimization guide for the new patch and the new way the engine handles post process effects etc. Some stuff is carried over from the previous guide, but the in-game settings have changed quite a bit. More below:

Sennheiser/Massdrop PC37x -
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Search Engine Optimization crash courseSearch Engine Optimization crash course
01:07:37November 9, 2014, 10:01 am
Search Engine Optimization crash course

Channel: LumoLink & Total View: 772958


Add Date: November 9, 2014, 10:01 am & Duration: 01:07:37


Likes: 6474 | Dislike: 508


Tags:

Search Engine Optimization (Interest), Web Search Engine (Website Category), Marketing, Google, Business, Google Search (Website), Usability (Industry), Lecturer (Job Title), Oulu (City/Town/Village)

Artem talks about basics of search engine optimization (SEO) in Oulu University. In this short talk students learn about basics of SEO and importance of content.

Artem describes process of optimizing content for SEO. Beginners who know little of search engine optimization will benefit most from this video.

Tools mentioned during the talk:
- Google AdWords keyword planner: https://adwords.google.com/KeywordPlanner
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Lagrange multipliers, using tangency to solve constrained optimization

Channel: Khan Academy & Total View: 90167


Add Date: November 15, 2016, 10:31 am & Duration: 00:08:43


Likes: 480 | Dislike: 6


Tags:

math, lagrange multiplier, constrained optimization

The Lagrange multiplier technique is how we take advantage of the observation made in the last video, that the solution to a constrained optimization problem occurs when the contour lines of the function being maximized are tangent to the constraint curve.

Optimization Problem #4 - Max Area Enclosed by Rectangular Fence

Channel: patrickJMT & Total View: 345684


Add Date: May 4, 2011, 4:07 pm & Duration: 00:09:49


Likes: 1311 | Dislike: 60


Tags:

area, rectangle, maximize, minimize, calculus, derivative, optimization

Optimization Problem #4 - Maximizing the Area of Rectangular Fence Using Calculus / Derivatives. In this video, I show how a farmer can find the maximum area of a rectangular pen that he can construct given 500 feet of fencing. We can actually solve this quite easily using algebra but here I am trying to show the overall process that we use on maximization / minimization problems.

Peephole optimizationPeephole optimization
00:03:38November 13, 2015, 5:09 am
Peephole optimization

Channel: comptotherescue :- & Total View: 12737


Add Date: November 13, 2015, 5:09 am & Duration: 00:03:38


Likes: 137 | Dislike: 4


Tags:

Peephole Optimization, Program Optimization (Project Role), Programming Language (Software Genre), Compiler (Software Genre)

This short video is about Peephole optimization in compilers.

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