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Jordan Lewis

Section 2.2’s exercises define some optimizations to the section’s unbalanced tree set implementation. Exercise 2.2 The implementation of …

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Jordan Lewis | jordanlewis.org Reviews
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Section 2.2’s exercises define some optimizations to the section’s unbalanced tree set implementation. Exercise 2.2 The implementation of …
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Jordan Lewis | jordanlewis.org Reviews

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Section 2.2’s exercises define some optimizations to the section’s unbalanced tree set implementation. Exercise 2.2 The implementation of …

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PFDS Section 2.1 - Jordan Lewis

http://www.jordanlewis.org/blog/2012/01/27/chapter-1-dot-1

PFDS Section 2.1. This is the inaugural post of the PFDS series. Section 2.1 discusses the ramifications of implementing lists and stacks in a functional and immutable manner. Using the operation of. As a motivator, Okasaki introduces the idea of data sharing. We see that to catenate two lists, we can share the second list, which doesn’t get modified, but must copy all of the nodes in the first list just to modify the last one. Since no elements are being updated, it’s easy to see that all we have ...

2

Category: pfds - Jordan Lewis

http://www.jordanlewis.org/blog/categories/pfds

Exercises from PFDS Section 2.2. PFDS Section 2.2. Abstract Generic Collections: PFDS Section 2.1 Redux. PFDS Section 2.1. Notes on Purely Functional Data Structures. Hi, I'm Jordan Lewis. I work at Knewton. And live in Brooklyn, New York. I listen to music.

3

Notes on Purely Functional Data Structures - Jordan Lewis

http://www.jordanlewis.org/blog/2012/01/03/notes-on-purely-functional-data-structures

Notes on Purely Functional Data Structures. I heard a lot of good things about Mike Okasaki’s Purely Functional Data Structures. At UChicago, but didn’t ever take the time to check it out. Lately I’ve missed the heady joy of reading and writing code in a strongly typed functional programming language like Standard ML, so when one of my coworkers at Knewton mentioned he was going to read the book I decided to get a copy for myself. The notes will be categorized under pfds. Posted by Jordan Lewis.

4

Abstract Generic Collections: PFDS Section 2.1 Redux - Jordan Lewis

http://www.jordanlewis.org/blog/2012/01/31/abstract-generic-collections-section-2-dot-1-redux

Abstract Generic Collections: PFDS Section 2.1 Redux. At the end of my last post, I mentioned that I ended up reusing Scala’s build-in List collection to implement the exercises instead of writing a generic abstract Stack and sample implementations of those. Since then, I’ve spent some time learning about how to implement generic collections in Scala. I came up with a Stack trait,. On an organizational note, I’ve also started a PFDScala repository. A Generic Trait for Stacks. For those of you unfamiliar ...

5

Blog Archive - Jordan Lewis

http://www.jordanlewis.org/blog/archives

Exercises from PFDS Section 2.2. PFDS Section 2.2. Abstract Generic Collections: PFDS Section 2.1 Redux. PFDS Section 2.1. Notes on Purely Functional Data Structures. Hi, I'm Jordan Lewis. I work at Knewton. And live in Brooklyn, New York. I listen to music.

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Interhack

http://taeb.github.io/interhack

The NetHack enhancement layer. Interhack is written by Shawn M Moore. 40;Eidolos/Sartak), Jordan Lewis. 40;toft), and Jesse Luehrs. 40;doy). It is released under the MIT license, so you can do almost anything youd like with it. Of course, if you do something neat, wed love to hear about it. The Interhack developers and users hang out in #interhack on irc.freenode.org. Theres no mailing list, but if anyone turns out to be interested in this thing Ill set one up. View the maps of any levels youve visited.

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Exercises From PFDS Section 2.2. Section 2.2’s exercises define some optimizations to the section’s unbalanced tree set implementation. That Okasaki gives for binary search trees in section 2.2 performs. Comparisons for a tree of depth. In the worst case, when searching for a number that is the farthest to the right on the tree, and when the right path in the tree is of depth. Itself. This is because every call of. And, if not, whether. We introduce a new parameter to. The implementation given by Okasaki...

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