TED Theater, Soho, New York

Tuesday, September 24, 2019
New York, NY

The Event

As part of Global Goals Week, the Skoll Foundation and the United Nations Foundation are pleased to present We the Future: Accelerating Sustainable Development Solutions on September 21, 2017 at TED Theater in New York.
The Sustainable Development Goals, created in partnership with individuals around the world and adopted by world leaders at the United Nations, present a bold vision for the future: a world without poverty or hunger, in which all people have access to healthcare, education and economic opportunity, and where thriving ecosystems are protected. The 17 goals are integrated and interdependent, spanning economic, social, and environmental imperatives.
Incremental change will not manifest this new world by 2030. Such a shift requires deep, systemic change. As global leaders gather for the 72nd Session of the UN General Assembly in September, this is the moment to come together to share models that are transforming the way we approach the goals and equipping local and global leaders across sectors to accelerate achievement of the SDGs.




Together with innovators from around the globe, we will showcase and discuss bold models of systemic change that have been proven and applied on a local, regional, and global scale. A curated audience of social entrepreneurs, corporate pioneers, government innovators, artistic geniuses, and others will explore how we can learn from, strengthen, and scale the approaches that are working to create a world of sustainable peace and prosperity.


Meet the

Speakers

Click on photo to read each speaker bio.

Amina

Mohammed

Deputy Secretary-General of the United Nations



Astro

Teller

Captain of Moonshots, X





Catherine

Cheney

West Coast Correspondent, Devex



Chris

Anderson

Head Curator, TED



Debbie

Aung Din

Co-founder of Proximity Designs



Dolores

Dickson

Regional Executive Director, Camfed West Africa





Emmanuel

Jal

Musician, Actor, Author, Campaigner



Ernesto

Zedillo

Member of The Elders, Former President of Mexico



Georgie

Benardete

Co-Founder and CEO, Align17



Gillian

Caldwell

CEO, Global Witness





Governor Jerry

Brown

State of California



Her Majesty Queen Rania

Al Abdullah

Jordan



Jake

Wood

Co-founder and CEO, Team Rubicon



Jessica

Mack

Senior Director for Advocacy and Communications, Global Health Corps





Josh

Nesbit

CEO, Medic Mobile



Julie

Hanna

Executive Chair of the Board, Kiva



Kate Lloyd

Morgan

Producer, Shamba Chef; Co-Founder, Mediae



Kathy

Calvin

President & CEO, UN Foundation





Mary

Robinson

Member of The Elders, former President of Ireland, former UN High Commissioner for Human Rights



Maya

Chorengel

Senior Partner, Impact, The Rise Fund



Dr. Mehmood

Khan

Vice Chairman and Chief Scientific Officer, PepsiCo



Michael

Green

CEO, Social Progress Imperative







http://wtfuture.org/wp-content/uploads/2015/12/WTFuture-M.-Yunus.png

Professor Muhammad

Yunus

Nobel Prize Laureate; Co-Founder, YSB Global Initiatives



Dr. Orode

Doherty

Country Director, Africare Nigeria



Radha

Muthiah

CEO, Global Alliance for Clean Cookstoves





Rocky

Dawuni

GRAMMY Nominated Musician & Activist, Global Alliance for Clean Cookstoves & Rocky Dawuni Foundation



Safeena

Husain

Founder & Executive Director, Educate Girls



Sally

Osberg

President and CEO, Skoll Foundation



Shamil

Idriss

President and CEO, Search for Common Ground



Main venue

TED Theater

Soho, New York

Address

330 Hudson Street, New York, NY 10013


Email

wtfuture@skoll.org

Due to limited space, this event is by invitation only.

Save the Date

Join us on Facebook to watch our event live!

heap sort worst case

December 1, 2020 by 0

That's way better than merge sort's … First off, (as we will present it) it is a randomized algorithm, which means that it makes use of a ran-dom number generator. Heap Sort is not a stable sort, it does not retrieve the same order of equal elements in the sorted array. Although Heap Sort has O(n log n) time complexity even for the worst case, it doesn't have more applications ( compared to other sorting algorithms like Quick Sort, Merge Sort ). QuickSort is interesting in a number of respects. Title: A Complete Worst-Case Analysis of Heapsort with Experimental Verification of Its Results, A manuscript (MS) Heap vs BST. 2. Space efficient. It doesn't need any extra storage and that makes it good for situations where array size is large. Heap sort takes space. So, if order matters, then it is better to use BST. Heap sort and Quick Sort both are in-place sorting algorithm but heap sort has an advantage over quick sort in worst case as heap sort run in O(n*logn) even in worst case. Partitioning: Our next sorting algorithm is QuickSort. Let's say we have a max heap. However, its underlying data structure, heap, can be efficiently used if we want to extract the smallest (or largest) from the list of items without the overhead of keeping the remaining items in the sorted order. Heap sort runs in time, which scales well as n grows. This algorithm is also called Heap Sort and takes time. Unlike quicksort, there's no worst-case complexity. 4. The worst case of the insert and remove operations is . We will show that in the worst case its running time is O(n2), its expected case running time is O(nlogn). Heap sort (c) The data to be sorted is too big to fit in memory, so most of it is on disk. Heap sort has the best possible worst case running time complexity of O(n Log n). Heap Sort is one of the best sorting methods being in-place and with no quadratic worst-case running time. Before looking into Heap Sort, let's understand what is Heap and how it helps in sorting. The main difference is that Binary Search Tree doesn’t allow duplicates, however, the Heap does. Heap Sort Algorithm. I will illustrate for n = 7, but logic is the same heaps of bigger size. 1. The BST is ordered, but the Heap is not. Heap sort O(nlogn) O(nlogn) O(nlogn) Mergesort O(nlogn) O(nlogn) O(nlogn) Quicksort O(nlogn) O(n^2) O(nlogn) Bucket ... You need an O(n log n) sort even in the worst case and you cannot use any extra space except for a few local variables. Heap sort involves building a Heap data structure from the given array and then utilizing the Heap to sort the array.. You must be wondering, how converting an array of numbers into a heap data structure will help in sorting the array. Worst case for extract happens when the root node has been changed to contain the smallest value of all the nodes (we extract the root in O(1) and put the last element in the array to be a root). 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