Families of sets | Design of experiments | Combinatorial design

Combinatorial design theory is the part of combinatorial mathematics that deals with the existence, construction and properties of systems of finite sets whose arrangements satisfy generalized concepts of balance and/or symmetry. These concepts are not made precise so that a wide range of objects can be thought of as being under the same umbrella. At times this might involve the numerical sizes of set intersections as in block designs, while at other times it could involve the spatial arrangement of entries in an array as in sudoku grids. Combinatorial design theory can be applied to the area of design of experiments. Some of the basic theory of combinatorial designs originated in the statistician Ronald Fisher's work on the design of biological experiments. Modern applications are also found in a wide gamut of areas including finite geometry, tournament scheduling, lotteries, mathematical chemistry, mathematical biology, algorithm design and analysis, networking, group testing and cryptography. (Wikipedia).

What is Sustainable Design?: Understanding Design

Sustainable design and development should meet the needs of people in the present without compromising the needs of future generations. According to serial entrepreneur John Elkington, organizations need to consider profit, people and the planet when thinking about new innovations. Join

From playlist Understanding Design

Design thinking can improve anything from a water bottle to a community water system. See how design thinking improves the creative process, from Professor Stefanos Zenios: http://stanford.io/1mgkHGR

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What Do Interior Designers Do?: Understanding Design

Interior design is a multifaceted profession. Interior designers must craft aesthetically attractive, functional designs that improve the quality of life for the occupants and be aesthetically attractive. Join Prasad Boradkar, a professor emeritus of industrial design at Arizona State Un

From playlist Understanding Design

If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.

From playlist Design Thinking

What Is Design?: Understanding Design

Design is the process of creating objects, systems, buildings and more. In this video, you’ll learn to answer the question, what is design, with broad definitions from a famous economist, philosopher and Swiss architect. Prasad Boradkar, a professor emeritus of industrial design at Arizon

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What Is Industrial Design?: Understanding Design

Industrial design, which is also known as product design, is the creation of consumer goods, from the smallest spoon to the largest machine. Industrial designers seek to optimize the function, value and appearance of products and systems. Join Prasad Boradkar, a professor emeritus of ind

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What is Beauty in Design?: Understanding Design

Designers strive to fill up the world with beautiful environments, packaging, products and landscapes. These can be defined as aesthetic experiences wherein designers use the study of beauty to create pleasurable experiences for humans to interact with items and spaces. Join Prasad Borad

From playlist Understanding Design

Take the full course: https://www.systemsinnovation.network/courses/7357542/ Twitter: http://bit.ly/2JuNmXX LinkedIn: http://bit.ly/2YCP2U6 Design thinking is a design process that enables us to solve complex problems. It combines deep end-user experience, systems thinking, iterative rapid

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What Do Graphic Designers Do?: Understanding Design

According to the American Institute of Graphic Arts, graphic designers practice the art of projecting ideas and experiences with visual and textual content. Graphic designers use a range of tools to convey information in aesthetically pleasing and legible formats. Join Prasad Boradkar, a

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Petar Veličković: "Reasoning on Natural Inputs"

Deep Learning and Combinatorial Optimization 2021 "Reasoning on Natural Inputs" Petar Veličković - DeepMind Technologies Abstract: Classical algorithms are designed with abstraction in mind, enforcing their inputs to conform to stringent preconditions. This is done for an apparent reason

From playlist Deep Learning and Combinatorial Optimization 2021

Le Song: "A Framework For Differentiable Discovery Of Graph Algorithms"

Deep Learning and Combinatorial Optimization 2021 "A Framework For Differentiable Discovery Of Graph Algorithms" Le Song - Georgia Institute of Technology Abstract: Recently there is a surge of interests in using graph neural networks (GNNs) to learn algorithms. However, these works focu

From playlist Deep Learning and Combinatorial Optimization 2021

Ellen Vitercik: "How much data is sufficient to learn high-performing algorithms?"

Deep Learning and Combinatorial Optimization 2021 "How much data is sufficient to learn high-performing algorithms?" Ellen Vitercik - Carnegie Mellon University Abstract: Algorithms often have tunable parameters that have a considerable impact on their runtime and solution quality. A gro

From playlist Deep Learning and Combinatorial Optimization 2021

CS224W: Machine Learning with Graphs | 2021 | Lecture 12.3 - Finding Frequent Subgraphs

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3Ex4Igv Jure Leskovec Computer Science, PhD In this lecture, we discuss the techniques to mine frequent subgraphs. We will first give you an idea on the computatio

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Introduction to Chemical Biology 128. Lecture 02. Common Tools in Chemical Biology.

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Aaron Sidford: Introduction to interior point methods for discrete optimization, lecture I

Over the past decade interior point methods (IPMs) have played a pivotal role in mul- tiple algorithmic advances. IPMs have been leveraged to obtain improved running times for solving a growing list of both continuous and combinatorial optimization problems including maximum flow, bipartit

From playlist Summer School on modern directions in discrete optimization

NOTACON 5: CPU Not Required: Making Demos with FPGAs

Speaker: Jeri Ellsworth In the endless battle to make your demo quicker, more impressive and yet still balance the changes in CPU, a whole other way of approaching this situation exists: FPGAs. Short for Field-Programmable Gate Arrays, this dedicated hardware, well-documented and fun to p

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EEVacademy #7 - Designing Combinatorial Digital Logic Circuits

How do you convert a logic truth table into a digital logic circuit? Dave shows you how with the Sum Of Products method. Forum: http://www.eevblog.com/forum/blog/eevacademy-7-designing-combinatorial-digital-logic-circuits/ EEVblog Main Web Site: http://www.eevblog.com The 2nd EEVblog Chan

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Yunhao Tang: "Reinforcement Learning for Integer Programming: Learning to Cut"

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From playlist Deep Learning and Combinatorial Optimization 2021

Sparse matrices in sparse analysis - Anna Gilbert

Members' Seminar Topic: Sparse matrices in sparse analysis Speaker: Anna Gilbert Affiliation: University of Michigan; Member, School of Mathematics Date: October 28, 2019 For more video please visit http://video.ias.edu

From playlist Mathematics

If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.

From playlist Graphic Design