Dynamic Optimisation (Part 1)
                        
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                        fibonacci112358s
                    
                 
                                                
                    
                    
                    
                        Principle of Optimality - Dynamic Programming
                        
                        Today we discuss the principle of optimality, an important property that is required for a problem to be considered eligible for dynamic programming solutions.
                        
                        CSBreakdown
                    
                 
                                                
                    
                    
                    
                        Applications of Dynamic Programming in Economics (2/5):The Cake Eating Problem II
                        
                        In this video I go through a cake eating problem over an infinite horizon. In this video we solve for our time invariant policy functions via the "guess and verify" ...
                        
                        EconJohn
                    
                 
                                                
                    
                    
                    
                        Modeling and Optimization (Economics)
                        
                        Objectives: - Maximize and minimize functions within economics using derivatives.
                        
                        Samuel Schachter
                    
                 
                                                
                    
                    
                    
                        Applications of Dynamic Programming in Economics (4/5): The Planner's Problem I
                        
                        In this video we discuss a example of a planning problem that is solved recursively using value function iteration.
                        
                        EconJohn
                    
                 
                                                
                    
                    
                    
                        Machine Learning and Dynamic Optimization Course
                        
                        Machine Learning and Dynamic Optimization is a graduate level course on the theory and applications of numerical solutions of time-varying systems with a ...
                        
                        APMonitor.com
                    
                 
                                                
                    
                    
                    
                        Dynamic Optimization in MATLAB and Python
                        
                        This tutorial video demonstrates how to solve a benchmark dynamic optimization problem with APMonitor. minimize x2(tf) subject to d(x1)/dt = u   d(x2)/dt = x1^2 ...
                        
                        APMonitor.com
                    
                 
                                                
                    
                    
                    
                        Economic Applications of Stochastic Dynamic Programming (1/3): A Stochastic Cake Eating Problem
                        
                        In this video we go over a stochastic cake eating problem as a way to introduce solving stochastic dynamic programming problems in discrete time. We conciser ...
                        
                        EconJohn
                    
                 
                                                
                    
                    
                    
                        2. Optimization Problems
                        
                        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 ...
                        
                        MIT OpenCourseWare
                    
                 
                                                
                    
                    
                    
                        Economic Optimization of a Commercial Fishery
                        
                        Dynamic optimization is used to maximize the revenue from a commercial fishery over a 10 year period.
                        
                        APMonitor.com
                    
                 
                                                
                    
                    
                    
                        Calculus: Optimisation Economics Science Applications Exam Review Part 1
                        
                        Optimization Part 2: https://www.youtube.com/watch?v=MV91L2PfRnY&index=3&list=PLJ-ma5dJyAqqMmCn176208ee-MlWv7xaH&t=19s.
                        
                        Anil Kumar
                    
                 
                                                
                    
                    
                    
                        Convex Optimization Basics
                        
                        The basics of convex optimization. Duality, linear programs, etc. Princeton COS 302, Lecture 22.
                        
                        Intelligent Systems Lab
                    
                 
                                                
                    
                    
                    
                        Method 1   Dynamic Optimization via Dynamic Programming
                        
                        This video discusses the use of dynamic programming to solve a dynamic general equilibrium problem.
                        
                        Jeremy W. Von Stipplehound III
                    
                 
                                                
                    
                    
                    
                        Dynamic Optimization and Reinforcement Learning, WS 2020/21; 7th lecture
                        
                        
                        
                        Statistics Studios
                    
                 
                                                
                    
                    
                    
                        Constrained optimization introduction
                        
                        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.
                        
                        Khan Academy
                    
                 
                                                
                    
                    
                    
                        Classification of Optimization Techniques
                        
                        This video gives an idea about the classification of Optimization Techniques. #Optimization, #Research, #Engineering, #OptimizationTechniques, ...
                        
                        Dr Vikas Singh Bhadoria
                    
                 
                                                
                    
                    
                    
                        Mod-10 Lec-23 Static Optimization: An Overview
                        
                        Advanced Control System Design by Radhakant Padhi, Department of Aerospace Engineering, IISC Bangalore For more details on NPTEL visit ...
                        
                        nptelhrd
                    
                 
                                                
                    
                    
                    
                        Solving Simple Stochastic Optimization Problems with Gurobi
                        
                        The importance of incorporating uncertainty into optimization problems has always been known; however, both the theory and software were not up to the ...
                        
                        Gurobi Optimization
                    
                 
                                                
                    
                    
                    
                        Azure Friday | Azure CDN: Dynamic Site Acceleration
                        
                        Richard Li joins Scott Hanselman to discuss the new Dynamic Site Acceleration (DSA) optimization for Azure CDN, and how it can be used in combination with ...
                        
                        Microsoft Azure
                    
                 
                                                
                    
                    
                    
                        Saving the World Economy: Paul Krugman and Olivier Blanchard in Conversation
                        
                        Two of the foremost experts on the international economy, Paul Krugman and Olivier Blanchard, engage in a discussion about recent crises around the world ...
                        
                        The Graduate Center, CUNY
                    
                 
                                                
                    
                    
                    
                        Social Acceleration, Parametric Optimization and the Resonance Conception
                        
                        Can We Measure the Quality of Life? Keynote by Prof. Dr. Hartmut Rosa at the ISTP conference at the Danish School of Education, Aarhus University in ...
                        
                        Faculty of Arts, Aarhus Universitet
                    
                 
                                                
                    
                    
                    
                        Applications of Machine Learning in Supply Chain and Logistics
                        
                        MIT CTL SC4x course lead David Correll hosts Daniel Merchan from the Megacities Logistics Lab to talk machine learning in SCM. This is part of the MITx ...
                        
                        MIT Center for Transportation & Logistics
                    
                 
                                                
                    
                    
                    
                        16. Portfolio Management
                        
                        MIT 18.S096 Topics in Mathematics with Applications in Finance, Fall 2013 View the complete course: http://ocw.mit.edu/18-S096F13 Instructor: Jake Xia This ...
                        
                        MIT OpenCourseWare
                    
                 
                                                
                    
                    
                    
                        Introduction to State Space Models
                        
                        State space models are a matrix form for linear time-invariant systems. This introduction gives information on deriving a state space model from linear or ...
                        
                        APMonitor.com
                    
                 
                                                
                    
                    
                    
                        Superoptimizing LLVM
                        
                        Compilers are caught in a tug-of-war between increasingly exotic architectures and instruction set extensions on one hand, and our desire for advanced ...
                        
                        UW Video
                    
                 
                                                
                    
                    
                    
                        What is an ABI, and Why is Breaking it Bad? - Marshall Clow - CppCon 2020
                        
                        https://cppcon.org/ https://github.com/CppCon/CppCon2020 --- Occasionally, someone will toss out in discussion “That's an ABI breaking change”. What does ...
                        
                        CppCon
                    
                 
                                                
                    
                    
                    
                        Warren Powell, "Stochastic Optimization Challenges in Energy"
                        
                        Warren Powell "Stochastic Optimization Challenges in Energy" Princeton University CompSust-2016 4th International Conference on Computational ...
                        
                        CompSustNet
                    
                 
                                                
                    
                    
                    
                        JuliaCon 2016 | Economic Modeling at the Federal Reserve Bank of New York | Erica Moszkowski
                        
                        Originally titled: "DSGE.jl – Using Julia for Economic Modeling at the Federal Reserve Bank of New York" Visit http://julialang.org/ to download Julia.
                        
                        The Julia Programming Language
                    
                 
                                                
                    
                    
                    
                        Process Integration & Optimization Using Dynamic System Models
                        
                        Humberto Garcia and Richard Boardman at Idaho National Laboratory share their latest research on big data and models of hybrid energy systems. In particular ...
                        
                        APMonitor.com
                    
                 
                                                
                    
                    
                    
                        Dynamic Social Network Analysis: Model, Algorithm, Theory, & Application CMU Research Speaker Series
                        
                        Across the sciences, a fundamental setting for representing and interpreting information about entities, the structure and organization of communities, and ...
                        
                        Microsoft Research
                    
                 
                                                
                    
                    
                    
                        Structured Optimization Modeling with Pyomo and Coopr
                        
                        Computational tools for modeling mathematical programs are widely used within both academia and industry. Available commercial and open-source modeling ...
                        
                        APMonitor.com
                    
                 
                                                
                    
                    
                    
                        "The Decision-Making Side of Machine Learning" with Michael I. Jordan
                        
                        Title: The Decision-Making Side of Machine Learning: Computational, Inferential, and Economic Perspectives Speaker: Michael I. Jordan Date: March 25, 2020 ...
                        
                        Association for Computing Machinery (ACM)
                    
                 
                                                
                    
                    
                    
                        L3.1 - Introduction to optimal control: motivation, optimal costs, optimization variables
                        
                        Introduction to optimal control within a course on "Optimal and Robust Control" (B3M35ORR, BE3M35ORR) given at Faculty of Electrical Engineering, Czech ...
                        
                        aa4cc
                    
                 
                                                
                    
                    
                    
                        Mathematical Optimization + Machine Learning
                        
                        Mathematical Optimization and Machine Learning (ML) are different but complementary technologies. Simply put – Mixed Integer Programming (MIP) answers ...
                        
                        Gurobi Optimization
                    
                 
                                                
                    
                    
                    
                        Lec 1 : Introduction to Optimization
                        
                        Evolutionary Computation for Single and Multi-Objective Optimization Course URL: https://onlinecourses.nptel.ac.in/noc21_me43/preview Playlist Link: ...
                        
                        NPTEL IIT Guwahati
                    
                 
                                                
                    
                    
                    
                        Unconstrained Optimization and its application in Economics
                        
                        This video will teach you about the method of unconstrained optimization and its application in solving problems in economics. This video is in continuation of ...
                        
                        Click Economics
                    
                 
                                                
                    
                    
                    
                        Stanford Seminar - Dynamic Code Optimization and the NVIDIA Denver Processor
                        
                        "Dynamic Code Optimization and the NVIDIA Denver Processor" - Nathan Tuck of NVIDIA Colloquium on Computer Systems Seminar Series (EE380) presents ...
                        
                        stanfordonline
                    
                 
                                                
                    
                    
                    
                        JuliaCon 2016 (Keynote) | Quantitative Macroeconomics in Julia | Nobel Laureate Tom Sargent
                        
                        Visit http://julialang.org/ to download Julia.
                        
                        The Julia Programming Language
                    
                 
                                                
                    
                    
                    
                        Build optimization models and turn them into full featured applications with Gurobi and Anaconda
                        
                        Developers of optimization and prescriptive analytics models often feel that they need to choose between the ease of a modeling language and the power of a ...
                        
                        Gurobi Optimization
                    
                 
                                                
                    
                    
                    
                        Karush Kuhn Tucker Optimality Conditions
                        
                        The Karush–Kuhn–Tucker (KKT) conditions (also known as the Kuhn–Tucker conditions) are first order necessary conditions for a solution in nonlinear ...
                        
                        APMonitor.com
                    
                 
                                                
                    
                    
                    
                        15. Factor Modeling
                        
                        MIT 18.S096 Topics in Mathematics with Applications in Finance, Fall 2013 View the complete course: http://ocw.mit.edu/18-S096F13 Instructor: Peter ...
                        
                        MIT OpenCourseWare
                    
                 
                                                
                    
                    
                    
                        Bain Dynamic Marketing Optimization
                        
                        CMOs have more money to invest—and more data to crunch—than ever before. But they readily admit that much of the $1 trillion they spend globally on ...
                        
                        Bain & Company