Quantum complexity theory | Probabilistic complexity classes
In theoretical computer science, almost wide probabilistic polynomial-time (AWPP) is a complexity class contained in PP defined via GapP functions. The class often arises in the context of quantum computing. AWPP contains the complexity class BQP (bounded-error quantum polynomial time), which contains the decision problems solvable by a quantum computer in polynomial time, with an error probability of at most 1/3 for all instances. In fact, it is the smallest classical complexity class that upper bounds BQP. Furthermore, it is contained in the class. (Wikipedia).
Intro to Cloud Computing and AWS
What is cloud computing? What are the characteristics? What I can do with it? What is AWS? What service does it offers? Next video: https://www.youtube.com/watch?v=WMT6-pnOD8Q 🔗Marcia's channel: https://www.youtube.com/channel/UCSLIvjWJwLRQze9Pn4cectQ 🔗Marcia's website: http://marciavil
From playlist Tutorials
Shmuel Onn: Sparse integer programming is FPT
We show that sparse integer programming, in variable dimension, with linear or separable convex objective, is fixed-parameter tractable. This is a culmination of a long line of research with many colleagues. We also discuss some of the many consequences of this result, which provides a new
From playlist Workshop: Tropical geometry and the geometry of linear programming
The chaotic complexity of natural numbers | Data structures in Mathematics Math Foundations 175
This is a sobering and perhaps disorienting introduction to the fact that arithmetic with bigger numbers starts to look quite different from the familiar arithmetic that we do with the small numbers we are used to. The notion of complexity is key in our treatment of this. We talk about bot
From playlist Math Foundations
Depth complexity and communication games - Or Meir
Or Meir Institute for Advanced Study; Member, School of Mathematics September 30, 2013 For more videos, visit http://video.ias.edu
From playlist Mathematics
What Is AWS? | What Is AWS Cloud Computing? | AWS Tutorial | #Shorts | Simplilearn
🔥Enroll for Free AWS Course & Get Your Completion Certificate: https://www.simplilearn.com/learn-aws-basics-free-training-course-skillup?utm_campaign=WhatisAWSShorts&utm_medium=ShortsDescription&utm_source=youtube Amazon Web Services (AWS) was founded as an outgrowth of Amazon.com's inter
From playlist #Shorts | #Simplilearn
Complexity and hyperoperations | Data Structures Math Foundations 174
We introduce the idea of the complexity of a natural number: a measure of how hard it is to actually write down an arithmetical expression that evaluates to that number. This notion does depend on a prior choice of arithmetical symbols that we decide upon, but the general features are surp
From playlist Math Foundations
Architecting in Cloud | Webinar -1 | Edureka
Watch the sample class recording: http://www.edureka.co/cloudcomputing?utm_source=youtube&utm_medium=webinar&utm_campaign=cloud-webinar-11-6-15 Cloud computing is is typically defined as a type of computing that relies on sharing computing resources rather than having local servers or per
From playlist Webinars by Edureka!
IMT2681 - Cloud Technologies (AWS)
IMT2681 - Cloud Technologies (AWS) Golang - closures and how to deal with "static" variables Golang - how to mock and make implementation better, and more flexible, less monolithic and "hardcoded" Introduction to AWS Introduction to Cloud functions aka AWS Lambda aka Serverless computing
From playlist Archive - Cloud Computing
Ximena Fernández 7/20/22: Morse theory for group presentations and the persistent fundamental group
Discrete Morse theory is a combinatorial tool to simplify the structure of a given (regular) CW-complex up to homotopy equivalence, in terms of the critical cells of discrete Morse functions. In this talk, I will present a refinement of this theory that guarantees not only a homotopy equiv
From playlist AATRN 2022
Time Complexity Analysis | What Is Time Complexity? | Data Structures And Algorithms | Simplilearn
This video covers what is time complexity analysis in data structures and algorithms. This Time Complexity tutorial aims to help beginners to get a better understanding of time complexity analysis. Following topics covered in this video: 00:00 What is Time Complexity Analysis 04:21 How t
From playlist Data Structures & Algorithms
Time Complexity In Data Structure | Time Complexity Analysis - Data Structures Tutorial |Simplilearn
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From playlist Data Structures & Algorithms [2022 Updated]
A Gentle Approach to Crystalline Cohomology - Jacob Lurie
Members’ Colloquium Topic: A Gentle Approach to Crystalline Cohomology Speaker: Jacob Lurie Affiliation: Professor, School of Mathematics Date: February 28, 2022 Let X be a smooth affine algebraic variety over the field C of complex numbers (that is, a smooth submanifold of C^n which can
From playlist Mathematics
This video lesson is part of a complete course on neuroscience time series analyses. The full course includes - over 47 hours of video instruction - lots and lots of MATLAB exercises and problem sets - access to a dedicated Q&A forum. You can find out more here: https://www.udemy.
From playlist NEW ANTS #2) Static spectral analysis
Jonathan Belcher: Bridge cohomology-a generalization of Hochschild and cyclic cohomologies
Talk by Jonathan Belcher in Global Noncommutative Geometry Seminar (Americas) http://www.math.wustl.edu/~xtang/NCG-... on August 12, 2020.
From playlist Global Noncommutative Geometry Seminar (Americas)
The Simplifying Synthesis Ultimate Guide To Bonding In d-Metal Coordination Complexes
An (almost) complete inorganic chemistry guide to the bonding in d-metal coordination complexes. Section 1 describes the basic structure of inorganic metal complexes, ligand-metal interactions and isomerism, Section 2 deals with Crystal Field Theory, Ligand Field Stabilization Energy, Mag
From playlist Ultimate Guides
Nexus Trimester - Bruno Bauwens (Higher School of Economics)
Asymmetry of online Kolmogorov complexity Bruno Bauwens (Higher School of Economics) February 29, 2016 Abstract: In order for a source to reveal a string , it needs to store at least [Math Processing Error] bits of information ([Math Processing Error] represents the Kolmogorov complexity)
From playlist Nexus Trimester - 2016 - Central Workshop
Introduction to Complex Solutions of Polynomials (Precalculus - College algebra 35)
Support: https://www.patreon.com/ProfessorLeonard Professor Leonard Merch: https://professor-leonard.myshopify.com A brief explanation of Complex Zeros/Roots, where they come from, how they are used, and why they come in conjugate pairs.
From playlist Precalculus - College Algebra/Trigonometry
AWS Security Tutorial | AWS Tutorial For Beginners | Simplilearn
🔥 Cloud Architect Master's Program (Discount Code: YTBE15): https://www.simplilearn.com/cloud-solutions-architect-masters-program-training?utm_campaign=AWSSecurityTutorial-lkksqUDlwJE&utm_medium=DescriptionFF&utm_source=youtube 🔥 Caltech Cloud Computing Bootcamp (US Only): https://www.simp
From playlist AWS Tutorial Videos For Beginners 🔥[2022 Updated] | Simplilearn