State Space Models, Part 1: Creation and Analysis
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Create and analyze state-space models using MATLAB® and Control System Toolbox™. State-space models are commonly used for representing linear time-invariant (LTI) systems.
From playlist Control System Design and Analysis
This video provides an introduction to apportionment. Site: http://mathispower4u.com
From playlist Apportionment
A Conceptual Approach to Controllability and Observability | State Space, Part 3
Check out the other videos in the series: https://youtube.com/playlist?list=PLn8PRpmsu08podBgFw66-IavqU2SqPg_w Part 1 - The state space equations: https://youtu.be/hpeKrMG-WP0 Part 2 - Pole placement: https://youtu.be/FXSpHy8LvmY Part 4 - What Is LQR Optimal Control: https://youtu.be/E_RD
From playlist State Space
Covariant Phase Space with Boundaries - Daniel Harlow
More videos on http://video.ias.edu
From playlist Natural Sciences
A01 An introduction to a series on space medicine
A new series on space medicine.
From playlist Space Medicine
International Space Station Assembly
This annotated animation details the assembly of the International Space Station, from the launch of the first segment in 1998 to today and beyond. HD download link: https://archive.org/details/International-Space-Station-Assembly
From playlist Space Construction
Wojciech Chachólski (4/29/20): TDA invariants and model categories
Title: TDA invariants and model categories Abstract: Data analysis is a balancing act of simplification and ignoring most of the information available on the one hand, and retaining what might be meaningful for the particular task on the other. The same balancing act of extracting simplif
From playlist AATRN 2020
Interstellar flight: 10 Hard Facts
We can build powerful rockets able to carry people and machines into orbit, or even vault them to the moon. But our fastest spacecraft don't hold a candle to the distances that define Interstellar Flight. So what's on the drawing boards? What futuristic designs and fuel options promise to
From playlist Spaceten
Reinforcement Learning in the Real World | Paper Analysis
Far from being an academic novelty, reinforcement learning has many real world use cases. In this video we take a look at using reinforcement learning, specifically a version of policy gradient methods known as proximal policy optimization (PPO), to optimize the join ordering for PostgreSQ
From playlist Applications of Reinforcement Learning in the Real World
Integrable combinatorics – Philippe Di Francesco – ICM2018
Mathematical Physics Invited Lecture 11.15 Integrable combinatorics Philippe Di Francesco Abstract: We explore various combinatorial problems mostly borrowed from physics, that share the property of being continuously or discretely integrable, a feature that guarantees the existence of c
From playlist Mathematical Physics
Swift 2 Tutorial | Swift 2 Optionals | Swift 2 Binding | Swift 2 Code Safety | Swift 2 Enumerations
This video explains the basic of Swift 2.0 programming. It talks about the concepts like Swift 2.0 Optionals, Swift 2.0 Binding, Swift 2.0 Enumerations and Swift 2.0 Code Safety Objectives and Outcomes of the video " - Create app - Understand the app creation process - Create a new class
From playlist iOS App Development Tutorial Videos
Computably enumerable sets and undecidability
In this video we're going to define and implement decidable as well as semidecidable. Code is found under https://gist.github.com/Nikolaj-K/808149debf7c3b09705127f9205f6c3f Other names for the two are recursive or computable resp. recursively enumerable, computably enumerable - I also say
From playlist Programming
MIT 6.001 Structure and Interpretation of Computer Programs, Spring 2005 Instructor: Harold Abelson, Gerald Jay Sussman, Julie Sussman View the complete course: https://ocw.mit.edu/6-001S05 YouTube Playlist: https://www.youtube.com/playlist?list=PLE18841CABEA24090 Streams, Part 1 Despite
From playlist MIT 6.001 Structure and Interpretation, 1986
Ruud Pellikaan: The coset leader weight enumerator of the code of the twisted cubic
In general the computation of the weight enumerator of a code is hard and even harder so for the coset leader weight enumerator. Generalized Reed Solomon codes are MDS, so their weight enumerators are known and its formulas depend only on the length and the dimension of the code. The coset
From playlist Combinatorics
Lecture 6A | MIT 6.001 Structure and Interpretation, 1986
Streams, Part 1 Despite the copyright notice on the screen, this course is now offered under a Creative Commons license: BY-NC-SA. Details at http://ocw.mit.edu/terms Subtitles for this course are provided through the generous assistance of Henry Baker, Hoofar Pourzand, Heather Wood,
From playlist MIT 6.001 Structure and Interpretation, 1986
Nearly Optimal Deterministic Algorithms Via M-Ellipsoids - Santosh Vempala
Santosh Vempala Georgia Institute of Technology January 30, 2011 Milman's ellipsoids play an important role in modern convex geometry. Here we show that their proofs of existence can be turned into efficient algorithms, and these in turn lead to improved deterministic algorithms for volume
From playlist Mathematics
What exactly is space? Brian Greene explains what the "stuff" around us is. Subscribe to our YouTube Channel for all the latest from World Science U. Visit our Website: http://www.worldscienceu.com/ Like us on Facebook: https://www.facebook.com/worldscienceu Follow us on Twitter: https:
From playlist Science Unplugged: Physics
Live stream where I (Brooks) wake myself up in the morning with silly side projects and algorithm practice. This stream is scheduled for 7am Mountain Time every weekday. I tweet out shortly before I begin each stream, and definitely if I am going to miss a stream. Currently I am learning
From playlist Rust Book