Constraint-Satisfaction Problems in Python
Author David Kopec discusses Constraint-Satisfaction Problems in Python. To learn more, see David's book Classic Computer Science Problems in Python | http://mng.bz/opAp Use the discount code TWITKOPE40 for 40% off of any Manning title. A large number of problems which computational too
From playlist Python
Constraint Satisfaction Problems in Python
Author David Kopec discusses Constraint-Satisfaction Problems in Python. To learn more, see David's book Classic Computer Science Problems in Python | http://mng.bz/95B1 This video is also available on Manning's liveVideo platform: http://mng.bz/j2wP Use the discount code WATCHKOPEC40 f
From playlist Python
Constraint Satisfaction Problems and Probabilistic Combinatorics I - Fotios Illiopoulos
Computer Science/Discrete Mathematics Seminar II Topic: Constraint Satisfaction Problems and Probabilistic Combinatorics I Speaker: Fotios Illiopoulos Affiliation: Member, School of Mathematics Date: November 19, 2019 For more video please visit http://video.ias.edu
From playlist Mathematics
Random constraint satisfaction problems: the statistical mechanics approach... - Guilhem Semerjian
Guilhem Semerjian l'Ecole Normale Superieure January 29, 2014 In the 90's numerical simulations have unveiled interesting properties of random ensembles of constraint satisfaction problems (satisfiability and graph coloring in particular). When a parameter of the ensemble (the density of c
From playlist Mathematics
Lower Bound on Complexity - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Understanding quantum algorithms via query complexity – Andris Ambainis – ICM2018
Mathematical Aspects of Computer Science Invited Lecture 14.2 Understanding quantum algorithms via query complexity Andris Ambainis Abstract: Query complexity is a model of computation in which we have to compute a function f(x_1, …, x_N) of variables x_i which can be accessed via querie
From playlist Mathematical Aspects of Computer Science
Computational Complexity in Mechanism Design - Jing Chen
Jing Chen Massachusetts Institute of Technology; Member, School of Mathematics November 27, 2012 Some important mechanisms considered in game theory require solving optimization problems that are computationally hard. Solving these problems approximately may not help, as it may change the
From playlist Mathematics
Calculus: We present a procedure for solving word problems on optimization using derivatives. Examples include the fence problem and the minimum distance from a point to a line problem.
From playlist Calculus Pt 1: Limits and Derivatives
Complexity of Constraint Satisfaction Problems: Exact and Approximate - Prasad Raghavendra
Complexity of Constraint Satisfaction Problems: Exact and Approximate - Prasad Raghavendra University of Washington February 16, 2010 Is there a common explanation for 2SAT being solvable polynomial time, and Max2SAT being approximable to a 0.91 factor? More generally, it is natural to w
From playlist Mathematics
The Complexity of Transforming Problem Instances - Andrew Drucker
Andrew Drucker Massachusetts Institute of Technology; Member, School of Mathematics September 27, 2012 For more videos, visit http://video.ias.edu
From playlist Mathematics
Melanie Zeilinger: "Learning-based Model Predictive Control - Towards Safe Learning in Control"
Intersections between Control, Learning and Optimization 2020 "Learning-based Model Predictive Control - Towards Safe Learning in Control" Melanie Zeilinger - ETH Zurich & University of Freiburg Abstract: The question of safety when integrating learning techniques in control systems has
From playlist Intersections between Control, Learning and Optimization 2020
Bartolomeo Stellato - Learning for Decision-Making Under Uncertainty - IPAM at UCLA
Recorded 01 March 2023. Bartolomeo Stellato of Princeton University, Operations Research and Financial Engineering, presents "Learning for Decision-Making Under Uncertainty" at IPAM's Artificial Intelligence and Discrete Optimization Workshop. Abstract: We present two data-driven methods t
From playlist 2023 Artificial Intelligence and Discrete Optimization
The Detectability Lemma and Quantum Gap Amplification - Itai Arad
Itai Arad Hebrew University of Jerusalem October 5, 2009 Constraint Satisfaction Problems appear everywhere. The study of their quantum analogues (in which the constraints no longer commute), has become a lively area of study, and various recent results provide interesting insights into q
From playlist Mathematics
Constant Rate PCPs for Circuit-SAT with Sublinear Query Complexity - Eli Ben-Sasson
Eli Ben-Sasson Technion; Massachusetts Institute of Technology March 18, 2013 The PCP theorem (Arora et. al., J. ACM 45(1,3)) says that every NP-proof can be encoded to another proof, namely, a probabilistically checkable proof (PCP), which can be tested by a verifier that queries only a s
From playlist Mathematics
Alexandra Kolla - Quantum Approximate Optimization Algorithm (QAOA) and Local Max-Cut - IPAM at UCLA
Recorded 27 January 2022. Alexandra Kolla of the University of California, Santa Cruz, presents "Quantum Approximate Optimization Algorithm (QAOA) and Local Max-Cut" at IPAM's Quantum Numerical Linear Algebra Workshop. Abstract: We will discuss methods to determine how good of an approxima
From playlist Quantum Numerical Linear Algebra - Jan. 24 - 27, 2022
PMSP - Quasi-random boolean functions, and inapproximability - Ryan O'Donnell
Ryan O'Donnell Carnegie Mellon University June 17, 2010 For more videos, visit http://video.ias.edu
From playlist Mathematics
Journey trough statistical physics of constraint satisfaction.. by Lenka Zdeborova
26 December 2016 to 07 January 2017 VENUE: Madhava Lecture Hall, ICTS Bangalore Information theory and computational complexity have emerged as central concepts in the study of biological and physical systems, in both the classical and quantum realm. The low-energy landscape of classical
From playlist US-India Advanced Studies Institute: Classical and Quantum Information
Standa Zivny: The Power of Sherali Adams Relaxations for General Valued CSPs
In this talk, we survey recent results on the power of LP relaxations (the basic LP relaxation and Sherali-Adams relaxations) in the context of valued constraint satisfaction problems (VCSP). We give precise characterisations of constraint languages for which these relaxations are exact, a
From playlist HIM Lectures 2015
How to solve differentiable equations with logarithms
Learn how to solve the particular solution of differential equations. A differential equation is an equation that relates a function with its derivatives. The solution to a differential equation involves two parts: the general solution and the particular solution. The general solution give
From playlist Differential Equations