Combinatorial optimization | Matching (graph theory) | Linear programming | Polynomial-time problems
The assignment problem is a fundamental combinatorial optimization problem. In its most general form, the problem is as follows: The problem instance has a number of agents and a number of tasks. Any agent can be assigned to perform any task, incurring some cost that may vary depending on the agent-task assignment. It is required to perform as many tasks as possible by assigning at most one agent to each task and at most one task to each agent, in such a way that the total cost of the assignment is minimized. Alternatively, describing the problem using graph theory: The assignment problem consists of finding, in a weighted bipartite graph, a matching of a given size, in which the sum of weights of the edges is minimum. If the numbers of agents and tasks are equal, then the problem is called balanced assignment. Otherwise, it is called unbalanced assignment. If the total cost of the assignment for all tasks is equal to the sum of the costs for each agent (or the sum of the costs for each task, which is the same thing in this case), then the problem is called linear assignment. Commonly, when speaking of the assignment problem without any additional qualification, then the linear balanced assignment problem is meant. (Wikipedia).
Finding the bearing of a plane using trigonometry
๐ Learn how to solve the word problems with trigonometry. Word problems involving angles, including but not limited to: bearings, angle of elevations and depressions, triangles problems etc are solved using trigonometry. To be able to solve these problems it is important that you have a gr
From playlist Evaluate Inverse Trigonometric Functions
Word Problems using trigonometry and bearings
๐ Learn how to solve the word problems with trigonometry. Word problems involving angles, including but not limited to: bearings, angle of elevations and depressions, triangles problems etc are solved using trigonometry. To be able to solve these problems it is important that you have a gr
From playlist Evaluate Inverse Trigonometric Functions
Word Problems using trigonometry and bearings
๐ Learn how to solve the word problems with trigonometry. Word problems involving angles, including but not limited to: bearings, angle of elevations and depressions, triangles problems etc are solved using trigonometry. To be able to solve these problems it is important that you have a gr
From playlist Evaluate Inverse Trigonometric Functions
Word Problems with trigonometry and triangles
๐ Learn how to solve the word problems with trigonometry. Word problems involving angles, including but not limited to: bearings, angle of elevations and depressions, triangles problems etc are solved using trigonometry. To be able to solve these problems it is important that you have a gr
From playlist Evaluate Inverse Trigonometric Functions
Word Problems with trigonometry and triangles
๐ Learn how to solve the word problems with trigonometry. Word problems involving angles, including but not limited to: bearings, angle of elevations and depressions, triangles problems etc are solved using trigonometry. To be able to solve these problems it is important that you have a gr
From playlist Evaluate Inverse Trigonometric Functions
Word Problems with trigonometry and triangles
๐ Learn how to solve the word problems with trigonometry. Word problems involving angles, including but not limited to: bearings, angle of elevations and depressions, triangles problems etc are solved using trigonometry. To be able to solve these problems it is important that you have a gr
From playlist Evaluate Inverse Trigonometric Functions
Word Problems with trigonometry and triangles
๐ Learn how to solve the word problems with trigonometry. Word problems involving angles, including but not limited to: bearings, angle of elevations and depressions, triangles problems etc are solved using trigonometry. To be able to solve these problems it is important that you have a gr
From playlist Evaluate Inverse Trigonometric Functions
Learn to find the bearing back to port by using trigonometry
๐ Learn how to solve the word problems with trigonometry. Word problems involving angles, including but not limited to: bearings, angle of elevations and depressions, triangles problems etc are solved using trigonometry. To be able to solve these problems it is important that you have a gr
From playlist Evaluate Inverse Trigonometric Functions
How to use trigonometry values to solve a word problem - Learn math online
๐ Learn how to solve the word problems with trigonometry. Word problems involving angles, including but not limited to: bearings, angle of elevations and depressions, triangles problems etc are solved using trigonometry. To be able to solve these problems it is important that you have a gr
From playlist Evaluate Inverse Trigonometric Functions
Math for Liberal Studies: Longest Processing Time Algorithm
In this video, we use the Longest Processing Time algorithm to solve a scheduling problem. For more info, visit the Math for Liberal Studies homepage: http://webspace.ship.edu/jehamb/mls/index.html
From playlist Math for Liberal Studies
Constraint Satisfaction Problems (CSPs) 2 - Definitions | Stanford CS221: AI (Autumn 2021)
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Associate Professor Percy Liang Associate Professor of Computer Science and Statistics (courtesy) https://profiles.stanford.edu/percy-liang Assistant Professor
From playlist Stanford CS221: Artificial Intelligence: Principles and Techniques | Autumn 2021
Using MATLAB Grader for Assignments in the Canvas LMS
MATLABยฎ Graderโข allows faculty, instructors, and instructional designers to create interactive MATLAB course problems, automatically grade student work, provide feedback, and integrate these tasks into learning management systems (LMS). One common LMS platform educators use with MATLAB Gra
From playlist Teaching with MATLAB and Simulink
Math for Liberal Studies - Lecture 1.8.4 Scheduling Problems
This is the last video for Math for Liberal Studies Section 1.8: Bin Packing and Scheduling. In this lecture, I discuss different types of scheduling problems and how we can apply bin-packing ideas to those problems. Specifically, I discuss the Longest-Processing-Time (LPT) algorithm and w
From playlist Math for Liberal Studies Lectures
Inclusive Teaching Through Transparency in Assignments and Course Design
Part of a Caltech Center for Teaching, Learning, and Outreach Series: Conversations on Inclusive Teaching: Summer 2021. Articulating and sharing learning goals more explicitly, whether in the course overall or in specific assignments, can have a substantial impact on students' learning a
From playlist Caltech Center for Teaching, Learning, and Outreach
Constraint Satisfaction Problems (CSPs) 1 - Overview | Stanford CS221: AI (Autumn 2021)
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Associate Professor Percy Liang Associate Professor of Computer Science and Statistics (courtesy) https://profiles.stanford.edu/percy-liang Assistant Professor
From playlist Stanford CS221: Artificial Intelligence: Principles and Techniques | Autumn 2021
Mod-01 Lec-37 Syntax: Exceptional Case Marking
Introduction to Modern Linguistics by Prof.Shreesh Chaudhary & Prof. Rajesh Kumar,Department of Humanities and Social Sciences,IIT Madras.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Madras: Introduction to Modern Linguistics | CosmoLearning.org English Language
Jannik Matuschke: Generalized Malleable Scheduling via Discrete Convexity
In malleable scheduling, jobs can b e executed simultaneously on multiple machines with the prcessing time depending on the numb er of allocated machines. Each job is required to be executed non-preemptively and in unison, i.e., it has to occupy the same time interval on all its allocated
From playlist Workshop: Approximation and Relaxation
Lecture 11 | Programming Abstractions (Stanford)
Lecture 11 by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department. Julie continues with recursive backtracking and introduces pointers and recursive data. Following, she focuses on solving the problems rather than the exact code
From playlist Lecture Collection | Programming Abstractions
Exam Review Solve word problem with changing angle
๐ Learn how to solve the word problems with trigonometry. Word problems involving angles, including but not limited to: bearings, angle of elevations and depressions, triangles problems etc are solved using trigonometry. To be able to solve these problems it is important that you have a gr
From playlist Evaluate Inverse Trigonometric Functions
Karthik C. S.: Recent Hardness of Approximation results in Parameterized Complexity
In this talk, we survey some recent hardness of approximation results in parameterized complexity such as the inapproximability of the k-clique problem, provide some technical insights, and also highlight some open problems.
From playlist Workshop: Parametrized complexity and discrete optimization