Theory of computation | Limits of computation | Computational complexity theory
In computational complexity theory, a transcomputational problem is a problem that requires processing of more than 1093 bits of information. Any number greater than 1093 is called a transcomputational number. The number 1093, called Bremermann's limit, is, according to Hans-Joachim Bremermann, the total number of bits processed by a hypothetical computer the size of the Earth within a time period equal to the estimated age of the Earth. The term transcomputational was coined by Bremermann. (Wikipedia).
Transcendental Functions 25 Example problems 2.mp4
Example problems.
From playlist Transcendental Functions
Transcendental Functions 25 Example problems 1.mp4
Example problems.
From playlist Transcendental Functions
Transcendental Functions 25 Example problems 3 Part 2.mp4
Example problems.
From playlist Transcendental Functions
Transcendental Functions 25 Example Problems 3 Part 1.mp4
Example problems.
From playlist Transcendental Functions
Transcendental Functions 18 More Examples 1.mov
More example problems.
From playlist Transcendental Functions
Transcendental Functions 18 More Examples 2.mov
More example problems.
From playlist Transcendental Functions
In this very easy and short tutorial I explain the concept of the transpose of matrices, where we exchange rows for columns. The matrices have some properties that you should be aware of. These include how to the the transpose of the product of matrices and in the transpose of the invers
From playlist Introducing linear algebra
Transcendental Functions 23 Initial value problems.mp4
Initial value problems.
From playlist Transcendental Functions
Transcendental Functions 5 More Examples.mov
More examples of logarithmic problems.
From playlist Transcendental Functions
The Complexity of Gradient Descent: CLS = PPAD ∩ PLS - Alexandros Hollender
Computer Science/Discrete Mathematics Seminar I Topic: The Complexity of Gradient Descent: CLS = PPAD ∩ PLS Speaker: Alexandros Hollender Affiliation: University of Oxford Date: October 11, 2021 We consider the problem of computing a Gradient Descent solution of a continuously different
From playlist Mathematics
Lecture 20 - Introduction to NP-completeness
This is Lecture 20 of the CSE373 (Analysis of Algorithms) taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Stony Brook University in 1997. The lecture slides are available at: http://www.cs.sunysb.edu/~algorith/video-lectures/1997/lecture22.pdf
From playlist CSE373 - Analysis of Algorithms - 1997 SBU
MIT 6.006 Introduction to Algorithms, Spring 2020 Instructor: Erik Demaine View the complete course: https://ocw.mit.edu/6-006S20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63EdVPNLG3ToM6LaEUuStEY This lecture discusses computational complexity and introduces termi
From playlist MIT 6.006 Introduction to Algorithms, Spring 2020
Problem Solving Skills | How to Improve Your Problem Solving Skills? | Softskills | Simplilearn
This video on how to improve your problem-solving skills is focused on excellent tips that will enhance your Problem-Solving skill like Decision making, Critical Thinking, Active listening, Creativity, and many more, both in your personal and professional life. In this tutorial, we will se
From playlist Interview Tips | Interview Tips in English | Simplilearn 🔥[2022 Updated]
Defining Problems as a Tool for Maximizing Systemic Impact
This webinar will explain the relationship between how we define problems and our ability to forecast the positive and negative externalities associated with a problem’s potential solution set. Matt will draw on his personal experience and background in commodity corn farming to demonst
From playlist Leadership & Management
5 Simple Steps for Solving Dynamic Programming Problems
In this video, we go over five steps that you can use as a framework to solve dynamic programming problems. You will see how these steps are applied to two specific dynamic programming problems: the longest increasing subsequence problem and optimal box stacking. The five steps in order ar
From playlist Problem Solving
Lecture 23 - Cook's Theorem & Harder Reductions
This is Lecture 23 of the CSE373 (Analysis of Algorithms) taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Stony Brook University in 1997. The lecture slides are available at: http://www.cs.sunysb.edu/~algorith/video-lectures/1997/lecture25.pdf
From playlist CSE373 - Analysis of Algorithms - 1997 SBU
This is Lecture 21 of the CSE373 (Analysis of Algorithms) taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Stony Brook University in 1997. The lecture slides are available at: http://www.cs.sunysb.edu/~algorith/video-lectures/1997/lecture23.pdf
From playlist CSE373 - Analysis of Algorithms - 1997 SBU
NP Completeness III - More Reductions - Lecutre 17
All rights reserved for http://www.aduni.org/ Published under the Creative Commons Attribution-ShareAlike license http://creativecommons.org/licenses/by-sa/2.0/ Tutorials by Instructor: Shai Simonson. http://www.stonehill.edu/compsci/shai.htm Visit the forum at: http://www.coderisland.c
From playlist ArsDigita Algorithms by Shai Simonson
Transcendental Functions 5 Examples.mov
Examples of logarithmic problems.
From playlist Transcendental Functions