How to Solve Reaching Points Leetcode Problem - Interview Coder Guide
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How to Solve Reaching Points Problem

Master the Reaching Points LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

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Hard#796
LeetCode Problem

Reaching Points

Given four integers sx, sy, tx, and ty, return true if it is possible to convert the point (sx, sy) to the point (tx, ty) through some operations, or false otherwise. The allowed operation on some poi...

Math

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Problem Breakdown

Understanding the Reaching Points Problem

Let's break down this LeetCode problem and understand what makes it challenging in interview settings.

Problem Statement

Given four integers sx, sy, tx, and ty, return true if it is possible to convert the point (sx, sy) to the point (tx, ty) through some operations, or false otherwise. The allowed operation on some point (x, y) is to convert it to either (x, x + y) or (x + y, y).

HardProblem #796
LeetCode

Reaching Points

Related Topics
Math
How Interview Coder Helps

Get real-time assistance for Reaching Points problems during coding interviews. Interview Coder provides instant solutions and explanations.

Examples

Example 1
INPUT
sx = 1, sy = 1, tx = 3, ty = 5
OUTPUT
true
EXPLANATION

One series of moves that transforms the starting point to the target is: (1, 1) -> (1, 2) (1, 2) -> (3, 2) (3, 2) -> (3, 5)

Example 2
INPUT
sx = 1, sy = 1, tx = 2, ty = 2
OUTPUT
false
Example 3
INPUT
sx = 1, sy = 1, tx = 1, ty = 1
OUTPUT
true

Constraints

1 <= sx, sy, tx, ty <= 109

How Interview Coder Helps with Leetcode Problems

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Platform Compatibility

Zoom
Supported
Google Meet
Supported
HackerRank
Supported
CodeSignal
Supported
CoderPad
Supported
Teams
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Frequently Asked Questions

Common questions about solving Reaching Points and using Interview Coder during coding interviews.

Interview Coder generates complete solutions instantly with proper complexity analysis, letting you focus on explaining your approach and demonstrating problem-solving skills rather than getting stuck on implementation details during high-pressure situations.

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