Introduction
Project Euler
1.
1.1.
Multiples of 3 and 5
1.2.
Even Fibonacci numbers
1.3.
Largest prime factor
1.4.
Largest palindrome product
1.5.
Smallest multiple
1.6.
Sum square difference
1.7.
10001st prime
1.8.
Largest product in a series
1.9.
Special Pythagorean triplet
1.10.
Summation of primes
1.11.
Largest product in a grid
1.12.
Highly divisible triangular number
1.13.
Large sum
1.14.
Longest Collatz sequence
1.15.
Lattice paths
1.16.
Power digit sum
1.17.
Number letter counts
1.18.
Maximum path sum I
1.19.
Counting Sundays
1.20.
Factorial digit sum
1.21.
Amicable numbers
1.22.
Names scores
1.23.
Non-abundant sums
1.24.
Lexicographic permutations
1.25.
1000-digit Fibonacci number
1.26.
Reciprocal cycles
1.27.
Quadratic primes
1.28.
Number spiral diagonals
1.29.
Distinct powers
1.30.
Digit fifth powers
1.31.
Coin sums
1.32.
Pandigital products
1.33.
Digit cancelling fractions
1.34.
Digit factorials
1.35.
Circular primes
1.36.
Double-base palindromes
1.37.
Truncatable primes
1.38.
Pandigital multiples
1.39.
Integer right triangles
1.40.
Champernowne's constant
1.41.
Pandigital prime
1.42.
Coded triangle numbers
1.43.
Sub-string divisibility
1.44.
Pentagon numbers
1.45.
Triangular, pentagonal, and hexagonal
1.46.
Goldbach's other conjecture
1.47.
Distinct primes factors
1.48.
Self powers
1.49.
Prime permutations
1.50.
Consecutive prime sum
1.51.
Prime digit replacements
1.52.
Permuted multiples
1.53.
Combinatoric selections
1.54.
Poker hands
1.55.
Lychrel numbers
1.56.
Powerful digit sum
1.57.
Square root convergents
1.58.
Spiral primes
1.59.
XOR decryption
1.60.
Prime pair sets
1.61.
Cyclical figurate numbers
1.62.
Cubic permutations
1.63.
Powerful digit counts
1.64.
Odd period square roots
1.65.
Convergents of e
1.66.
Diophantine equation
1.67.
Maximum path sum II
1.68.
Magic 5-gon ring
1.69.
Path sum: two ways
1.70.
Path sum: three ways
1.71.
Path sum: four ways
JupyterLab
2.
2.1.
Unix snippets
2.2.
Java snippets
Open Data Structures
3.
3.1.
ArrayStack
Coursera Princeton algorithms-part1
4.
4.1.
Course Introduction
Cracking the Coding Interview
Introduction to Algorithms (MIT)
5.
I Foundations
5.1.
1. The Role of Algorithms in Computing
5.1.1.
1.1. Algorithms
LeetCode with APAS
6.
6.1.
Square root
6.2.
Valid Perfect Square
6.3.
Tower of Hanoi
6.4.
Knapsack problem
Constants
7.
7.1.
CORDIC, tangent and Pi
7.2.
Napier's constant, 0.999 1.001
Essays
8.
8.1.
Standard deviation
8.2.
Four bugs
Miscellaneous math
9.
9.1.
Inverse matrix and idempotency
About
Light
Rust (default)
Coal
Navy
Ayu
Algorithm notes on the back of used envelopes bound in a ring binder