Optimization algorithms and methods | Trees (data structures)

Tree rearrangement

Tree rearrangements are deterministic algorithms devoted to searching for an optimal tree structure. They can be applied to any set of data that are naturally arranged into a tree, but have most applications in computational phylogenetics, especially in maximum parsimony and maximum likelihood searches of phylogenetic trees, which seek to identify one among many possible trees that best explains the evolutionary history of a particular gene or species. (Wikipedia).

Tree rearrangement
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C Programming: Sorting and searching arrays of structs

In this session we learn how to sort an array of structs, then search it using the built-in binary search (bsearch) function.

From playlist C Programming

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Learn how to multiply a three digit decimal to a two digit decimal

👉 You will learn how to multiply numbers in decimal form. We will work with decimals that are greater and less than one. When multiplying decimals it is important to line up the decimal point so that you keep the place values of the numbers. We will apply multi digit multiplication to f

From playlist How to multiply and divide decimals

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How to multiply a two digit decimal from a three digit decimal

👉 You will learn how to multiply numbers in decimal form. We will work with decimals that are greater and less than one. When multiplying decimals it is important to line up the decimal point so that you keep the place values of the numbers. We will apply multi digit multiplication to f

From playlist How to multiply and divide decimals

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Tutorial Simplify and Multiply the Cube Root of Two Numbers

👉 Learn how to multiply radicals. A radical is a number or an expression under the root symbol. To multiply radicals with the same root, it is usually easy to evaluate the product by multiplying the numbers or expressions inside the roots retaining the same root and then simplify the resul

From playlist How to multiply Radicals Expressions

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Binary tree traversal - breadth-first and depth-first strategies

See complete series on data structures here: http://www.youtube.com/playlist?list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P In this lesson, we have discussed algorithms for binary tree traversal. We have talked about breadth-first and depth-first strategies for tree traversal like level-order, p

From playlist Data structures

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Permutations and Combinations lesson 3 - Rearranging objects

In this lesson we talk about why and how you can find the number of ways to rearranging a certain number of objects using a tree diagram and consequently the factorial button on your calculator.

From playlist Maths C / Specialist Course, Grade 11/12, High School, Queensland, Australia

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Permutations and Combinations lesson 6 - Combinations (or subsets)

In this lesson we introduce the idea of combinations, how they are different to permutations, and the formula for calculating the number of combinations. We explain how the formula works using one example and then use the formula to do another practice question.

From playlist Maths C / Specialist Course, Grade 11/12, High School, Queensland, Australia

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Lecture 22 | Programming Abstractions (Stanford)

Lecture 22 by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department. Julie discusses map as a vector and describes a different, possibly better, strategy. The basics of trees and their usefulness and how they can be used with binary

From playlist Lecture Collection | Programming Abstractions

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Lec 19 | MIT RES.6-008 Digital Signal Processing, 1975

Lecture 19: Computation of the discrete Fourier transform, part 2 Instructor: Alan V. Oppenheim View the complete course: http://ocw.mit.edu/RES.6-008 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT RES.6-008 Digital Signal Processing, 1975

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Tree Graphs - 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

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ElixirConf 2015 - The road to intellij-elixir 1.0.0 By Luke Imhoff

Learn how naively copying a grammar file from one parser generator to another won't work. Go back to the beginning and learn about lexers vs parsers, but discover that the power of interpolation changes the computational complexity and forces the lexer to be a push-down automata instead of

From playlist ElixirConf 2015

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Fundamental Counting Principle & Permutations (Learn Algebra 2)

Learn what the fundamental counting principle (Multiplication Counting Principle) is and how to use it to find the number of outcomes. We discuss factorials, tree diagrams, permutations nPr, as well as how to find the number of distinct orderings of letters in a word. Jump to Section of

From playlist Learn Algebra 2

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Lecture 10 | Programming Abstractions (Stanford)

Lecture 10 by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department. Julie explains procedural recursion and introduces permute code. She goes through another example of recursive code line by line, explaining each component. Recur

From playlist Lecture Collection | Programming Abstractions

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Pavel Avdeyev: "Genome Rearrangements and Reconstruction of Ancestral Genomes"

Computational Genomics Summer Institute 2016 "Genome Rearrangements and Reconstruction of Ancestral Genomes" Pavel Avdeyev, George Washington University Institute for Pure and Applied Mathematics, UCLA July 29, 2016 For more information: http://computationalgenomics.bioinformatics.ucla.

From playlist Computational Genomics Summer Institute 2016

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How to multiply two decimals by each other

👉 You will learn how to multiply numbers in decimal form. We will work with decimals that are greater and less than one. When multiplying decimals it is important to line up the decimal point so that you keep the place values of the numbers. We will apply multi digit multiplication to f

From playlist How to multiply and divide decimals

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38: Balanced Trees - Richard Buckland UNSW

Approaches to Balancing Trees. Rotations, Splay Trees. Treaps. Heaps. Types of heaps, representing heaps. Operations on heaps. Lecture 38 of Computing2 (Comp1927) "Data Structures and Algorithms" by Richard Buckland, UNSW Australia. This class was recorded in September 2009.

From playlist CS2: Data Structures and Algorithms - Richard Buckland

Related pages

Deterministic algorithm | Genetic algorithm | Phylogenetic tree | Tree structure