42. Grid paths - Data Structures and Algorithms in Python
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

42. Grid paths

42. Grid paths

This chapter discusses the combinatorial approach to counting grid paths and addressing obstacles in a grid. It explains how to determine the number of paths from the bottom left to the top right corner by using combinatorial mathematics and dynamic programming techniques. The chapter also covers how to adapt these methods when intersections are blocked, employing techniques like memoization and inclusion-exclusion principles for more complex scenarios.

10 sections

Sections

Navigate through the learning materials and practice exercises.

  1. 42.1

    This section explores the problem of counting paths on a grid where movement...

  2. 42.1.1
    Introduction To Grid Path Problem

    This section introduces the grid path problem, elucidating how to calculate...

  3. 42.1.2
    Counting Total Grid Paths

    This section discusses the methodology for counting unique grid paths from a...

  4. 42.1.3
    Handling Blocked Intersections

    This section addresses how to calculate grid paths when faced with blocked...

  5. 42.1.4
    Dealing With Multiple Blocked Intersections

    This section discusses grid paths and how to count them, focusing on dealing...

  6. 42.1.5
    Inductive Structure Of The Problem

    This section explores the inductive approach to solving grid path problems...

  7. 42.1.6
    Implementing With Recursion And Memoization

    This section covers grid path problems, illustrating how to efficiently...

  8. 42.1.7
    Dynamic Programming Approach

    This section discusses the dynamic programming approach to solving grid path...

  9. 42.1.8
    Comparison Of Memoization And Dynamic Programming

    This section compares memoization and dynamic programming, illustrating...

  10. 42.1.9
    Conclusion: Choosing The Right Approach

    This section provides insights into selecting the appropriate computational...

What we have learnt

  • Grid paths can be counted using combinatorial methods by choosing horizontal and vertical moves.
  • Blocked intersections complicate path counting and require subtracting invalid paths from the total count.
  • Dynamic programming offers an efficient way to compute paths, avoiding redundant calculations through memoization.

Key Concepts

-- Grid Path
A route taken from the bottom-left corner to the top-right corner of a grid, allowing only upwards and rightward moves.
-- Combinatorial Counting
A mathematical approach to count possible arrangements or pathways by determining combinations of moves needed across a defined space.
-- Memoization
An optimization technique that stores previously computed results to avoid redundant calculations in recursive functions.
-- Dynamic Programming
A method for solving complex problems by breaking them down into simpler subproblems, solving each just once and storing their solutions.
-- InclusionExclusion Principle
A combinatorial method used to calculate the total of overlapping sets by including the size of the sets and excluding the overlaps.

Additional Learning Materials

Supplementary resources to enhance your learning experience.