pqnelson

;; from Amit Rathore's "Clojure in Action", source code taken from his site, freely and legally avaible

;; inheritence
(declare this find-method)

(defn new-object [klass]
  (let [state (ref {})]
    (fn thiz [command & args]
      (condp = command
        :class klass

pqnelson

(ns euler-population.core)

;; "After the Flood, all people are descended from six people. If we
;; suppose that after 200 years the population had grown to 1,000,000,
;; then by what part must the population grow each year?"
;; — Leonhard Euler's "Introductio in Analysin Infinitorum", Ch. 6, example 3

(def initial-conditions {:men 3
                         :women 3})

pqnelson

(ns math-helper
  :require [clojure.set :as set-utils])

(defn float? [x] (instance? java.lang.Float x))
(defn double? [x] (instance? java.lang.Double x))

(defmacro defconst [const-name const-val]
  `(def
    ~(with-meta const-name
       (assoc (meta const-name) :const true))

pqnelson

;; set 72 character width
(setq-default fill-column 72)
(setq auto-fill-mode t)
(setq-default auto-fill-function 'do-auto-fill)
(global-font-lock-mode 1)

(add-hook 'shell-mode-hook
          '(lambda () (auto-fill-mode nil)))

;; font face

pqnelson

// $ g++ -std=c++11 object.cpp
// $ ./a.out
// Object@0x00d01010
#include <string>
#include <iostream>
#include <sstream>
#include <iomanip> // for setw, setfill
#include "types.hpp"
#include "object.hpp"
 

pqnelson

#include <functional>
#include <iostream>
#include <string>
#include <map>

/*
 * An example of some number theory calculations, done with dynamic
 * programming.
 *
 * Partially inspired by http://programminggenin.blogspot.com/2013/01/memoization-in-c.html

pqnelson

var exports = module.exports = {};

/**********************************************************
 * @author Alex Nelson
 * @email pqnelson@gmail.com
 * @date 29 September 2014
 **********************************************************/
 
/**
 * My todo list...

pqnelson

Reader Macros in Common Lisp

Reader macros are perhaps not as famous as ordinary macros. While macros are a great way to create your own DSL, reader macros provide even greater flexibility by allowing you to create entirely new syntax on top of Lisp.

Paul Graham explains them very well in [On Lisp][] (Chapter 17, Read-Macros):

The three big moments in a Lisp expression's life are read-time, compile-time, and runtime. Functions are in control at runtime. Macros give us a chance to perform transformations on programs at compile-time. ...read-macros... do their work at read-time.

Macros and read-macros see your program at different stages. Macros get hold of the program when it has already been parsed into Lisp objects by the reader, and read-macros operate on a program while it is still text. However, by invoking read on this text, a read-macro can, if it chooses, get parsed Lisp objects as well. Thus read-macros are at least as powerful as ordinary macros.

pqnelson

% a simple lewis diagram of a phospholipid
numeric u;
u = 1pc;

beginfig(0)
  % hydrophilic head
  label(btex ${\rm CH}_{2}$ etex, (0,0));
  draw (u, 0)--(1.75u,0);
  label(btex ${\rm CH}$ etex, (2.5u, 0));
  draw (3.25u, 0)--(4u, 0);

pqnelson

Theorem Prover Coding/Writing

• Fix typos in my notes on DPLL
  • Fixing the getLiterals code snippet to match the code
• Rewrite notes on DP algorithm after examining Knuth's drafts more thoroughly
  • Clearly explain the DP & DPLL algorithms in pseudocode
  • Clearly explain the backjumping optimization
    • Is it possible to do a more thorough algorithmic analysis of it? (I.e., do a better job!)
• Explore possibility that monads can be used for backjumping?
• Resolution space for random 3-SAT proves "with high probability" that "the total resolution space is quadratic".