Mathematical optimization software
Optimization Programming Language (OPL) is an algebraic modeling language for mathematical optimization models, which makes the coding easier and shorter than with a general-purpose programming language. It is part of the CPLEX software package and therefore tailored for the IBM ILOG CPLEX and IBM ILOG CPLEX CP Optimizers. The original author of OPL is Pascal Van Hentenryck. (Wikipedia).
A very basic overview of optimization, why it's important, the role of modeling, and the basic anatomy of an optimization project.
From playlist Optimization
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
Calculus: Optimization Problems
In this video, I discuss optimization problems. I give an outline for how to approach these kinds of problems and worth through a couple of examples.
From playlist 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
[Calculus] Optimization 2 || Lecture 35
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From playlist Calculus 1
[Calculus] Optimization 1 || Lecture 34
Visit my website: http://bit.ly/1zBPlvm Subscribe on YouTube: http://bit.ly/1vWiRxW Hello, welcome to TheTrevTutor. I'm here to help you learn your college courses in an easy, efficient manner. If you like what you see, feel free to subscribe and follow me for updates. If you have any que
From playlist Calculus 1
What in the world is a linear program?
What is a linear program and why do we care? Today I’m going to introduce you to the exciting world of optimization, which is the mathematical field of maximizing or minimizing an objective function subject to constraints. The most fundamental topic in optimization is linear programming,
From playlist Summer of Math Exposition 2 videos
Optimization in the Wolfram Language
This presentation by Rob Knapp focuses on optimization functionality in the Wolfram Language. Examples are shown to highlight recent progress in convex optimization, including support for complex variables, robust optimization and parametric optimization.
From playlist Wolfram Technology Conference 2020
Support Vector Machine Optimization - Practical Machine Learning Tutorial with Python p.24
In this tutorial, we discuss the optimization problem that is the Support Vector Machine, as well as how we intend to solve it ourselves. https://pythonprogramming.net https://twitter.com/sentdex https://www.facebook.com/pythonprogramming.net/ https://plus.google.com/+sentdex
From playlist Machine Learning with Python
️🔥Welcome to CodeQuest By Simplilearn | Learner Coding Contest | Win Amazing Prices! | Simplilearn
️🔥Participate Now!: https://docs.google.com/forms/d/e/1FAIpQLSeTGN2Ywq8ubu1gxdG7pEsqXdCZqAf5O41DZjm9t9huFvSc1g/viewform Welcome to Code Quest: A warm welcome to the Coding Contest hosted by Simplilearn and SimpliCode. The idea behind this contest is to encourage and recognize the tru
From playlist Simplilearn Live
Welcome to Code Quest By Simplilearn | Learner Coding Contest | Win Amazing Prices! | Simplilearn
Participate Now!: https://docs.google.com/forms/d/e/1FAIpQLSeEtz4sMPU1vBM0MvScU0h1lPtDTvVaKHyXEe1dnh0vf004uQ/viewform?usp=sf_link Welcome to Code Quest: A warm welcome to the Coding Contest hosted by Simplilearn and SimpliCode. The idea behind this contest is to encourage and recognize
From playlist Simplilearn Live
Lec 17 | MIT 6.035 Computer Language Engineering, Fall 2005
Instruction Scheduling (cont.) View the complete course: http://ocw.mit.edu/6-035F05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.035 Computer Language Engineering, Fall 2005
Stanford Seminar - Sista: Speculative Inlining, Smalltalk-Stye
"Sista: Speculative inlining, Smalltalk-style" - Eliot Miranda of Cadence Design Systems and Clément Béra of INRIA, Lille, France About the talk: Sista is an adaptive optimizer using speculative inlining that is implemented entirely in Smalltalk, and is "live" in the system, meaning that
From playlist Engineering
Velocity 2011: Douglas Crockford, "JavaScript & Metaperformance"
There are lies, damned lies, and benchmarks. Tuning language processor performance to benchmarks can have the unintended consequence of encouraging bad programming practices. This is the true story of developing a new benchmark with the intention of encouraging good practices.
From playlist Velocity 2011
RubyConf 2019 - The Functional Rubyist by Joe Leo
RubyConf 2019 - The Functional Rubyist by Joe Leo Functional programming’s popularity is on the rise and support for FP is growing in Ruby. But can you really write functional code in Ruby? More importantly, why should you? Learn how Ruby enables functional programming concepts while main
From playlist RubyConf 2019
Python in Python: The PyPy System
(March 2, 2011) Armin Rigo discusses the research he has done to implement Python in Python. The new project, titled PyPy, can increase the speed at which programs run, as well as reduce the total memory that they use. He hopes that it can help advance the field of computer science as we m
From playlist Engineering
Lec 1 | MIT 6.035 Computer Language Engineering, Fall 2005
Course Administration Information and Overview View the complete course: http://ocw.mit.edu/6-035F05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.035 Computer Language Engineering, Fall 2005
Starting a Productivity Revolution in Parallel Computation
(November 4, 2009) Anwar Ghuloum of Intel Corporation discusses Intel's Ct technology, which aims to provide a tool for developers to write parallel programs productively and create an infrastructure for implementation of other data parallel domain-specific libraries and languages. Stan
From playlist Engineering
Overview of compiling a program
Compiling a program takes place over several stages. This video is an overview of the compilation process: scanner/lexer, parser, semantic analyzer, code generator, and optimizer. An introduction to token streams and abstract syntax trees.
From playlist Discrete Structures
What Is An Algorithm ? | Introduction to Algorithms | How To Write An Algorithm? | Simplilearn
This video is based on What Is An Algorithm ? The Introduction to Algorithms tutorial will explain to you How To Write An Algorithm? and it will cover the following topics ✅00:00- Introduction to Algorithms ✅01:46- What Is an Algorithm? The algorithm is a step-by-step procedure or set o
From playlist C++ Tutorial Videos