Dynamic Programming with Java – Learn to Solve Algorithmic Problems & Coding Challenges

Dive into a comprehensive course on Dynamic Programming with Java, designed for beginners looking to enhance their problem-solving skills for algorithmic challenges and coding interviews. Learn to tackle complex programming problems through a series of hands-on exercises, including Fibonacci sequences, Tribonacci numbers, sum possibilities, minimum change calculations, path counting, maximum path sums, non-adjacent sums, summing squares, and counting change combinations. Explore each concept with detailed explanations and practical implementations, gaining valuable insights into efficient algorithm design and optimization techniques. By the end of this 2-3 hour learning journey, develop a strong foundation in Dynamic Programming principles and their applications in Java, equipping yourself with essential skills for technical interviews and advanced problem-solving in software development.

course introduction
fib
tribonacci
sum possible
min change
count paths
max path sum
non adjacent sum
summing squares
counting change