


On a two-dimensional plane, the number of jumps required to reach point (d, 0) from the origin
In this article we will discuss a possible solution to an exciting analytical problem, namely, reaching the point (d, 0) How many jumps are required. We will use a fixed jump length and target coordinates to find the minimum number of jumps required.
Input and output scenarios
Assume that the jump length can be a or b, and the target point is (d,0). The given output is then the minimum number of jumps required to reach the goal.
Input: a = 7, b = 5, d = 9 Output: 2 Input: a = 7, b = 5, d = 5 Output: 1 Input: a = 7, b = 5, d = 24 Output: 4
Suppose you are standing at the origin (0, 0) of the 2D plane. Your target coordinates are (d, 0). The only way to reach the target coordinates is to make a fixed-length jump. Your goal is to find an efficient way to reach your goal with the fewest number of jumps.
Use If statement
We will use an if statement to find the minimum number of jumps required to reach (d, 0).
First, we need to ensure that a is always greater than b, so that a represents a longer jump length, and b b> represents a shorter jump length. Therefore, if b > a, , then we assign the maximum value among a and b to a.
Next, we check if d is greater than or equal to a. If this condition is met, then we can simply calculate the minimum number of jumps using (d a - 1) / a. Here, (d a - 1) means the total distance with a jump length of "a" divided by a (i.e. the length of each jump) gives the number of jumps.
If d = 0, no jump is required.
If d = b, then we can directly reach the point by jumping the length of b.
If d > b and d < a< a, the minimum number of jumps is 2. This is because if we take a triangle XYZ such that X is the origin, Z is the target point, and Y is the point that satisfies XY = YZ = max(a, b). Then, the minimum jump will be 2, i.e. from X to Y and Y to Z.
Example
#include <iostream> using namespace std; int minJumps(int a, int b, int d) { // Check if b > a, then interchange the values of a and b if (b > a) { int cont = a; a = b; b = cont; } // When d >= a if (d >= a) return (d + a - 1) / a; // When the target point is 0 if (d == 0) return 0; // When d is equal to b. if (d == b) return 1; // When distance to be covered is not equal to b. return 2; } int main() { int a = 3, b = 5, d = 9; int result = minJumps(a, b, d); cout << "Minimum number of jumps required to reach (d, 0) from (0, 0) is: " << result << endl; return 0; }
Output
Minimum number of jumps required to reach (d, 0) from (0, 0) is: 2
Use division and modulo operators
If a or b has the value 0, then we can simply use the division and modulo operators to find the minimum number of jumps. Here, we divide the distance d by the hop length (since one of the hop lengths is 0) to get the number of hops.
Example
#include <iostream> using namespace std; int minJumps(int d, int jumpLength) { // To find number of complete jumps int numJumps = d / jumpLength; // If distance is not divisible by jump length if (d % jumpLength != 0) { numJumps++; } return numJumps; } int main() { int d = 24, jumpLength = 4; int result = minJumps(d, jumpLength); cout << "Minimum number of jumps required to reach (d, 0) from (0, 0) is: " << result << endl; return 0; }
Output
Minimum number of jumps required to reach (d, 0) from (0, 0) is: 6
Note - We can also use the ternary operator to write code in a concise way.
int minJumps(int d, int jumpLength) { int numJumps = (d % jumpLength == 0) ? (d / jumpLength) : (d / jumpLength) + 1; return numJumps; }
in conclusion
We discussed how to find the minimum number of jumps required to reach the target point (d, 0) from the origin in the 2D plane. We use an if statement to find the number of jumps where a and b are non-zero values (a and b b> are the jump lengths). If a or b is zero, then we can use division and modulo operators. To write code succinctly, we can use the ternary operator.
The above is the detailed content of On a two-dimensional plane, the number of jumps required to reach point (d, 0) from the origin. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



C language data structure: The data representation of the tree and graph is a hierarchical data structure consisting of nodes. Each node contains a data element and a pointer to its child nodes. The binary tree is a special type of tree. Each node has at most two child nodes. The data represents structTreeNode{intdata;structTreeNode*left;structTreeNode*right;}; Operation creates a tree traversal tree (predecision, in-order, and later order) search tree insertion node deletes node graph is a collection of data structures, where elements are vertices, and they can be connected together through edges with right or unrighted data representing neighbors.

The truth about file operation problems: file opening failed: insufficient permissions, wrong paths, and file occupied. Data writing failed: the buffer is full, the file is not writable, and the disk space is insufficient. Other FAQs: slow file traversal, incorrect text file encoding, and binary file reading errors.

Article discusses effective use of rvalue references in C for move semantics, perfect forwarding, and resource management, highlighting best practices and performance improvements.(159 characters)

C 20 ranges enhance data manipulation with expressiveness, composability, and efficiency. They simplify complex transformations and integrate into existing codebases for better performance and maintainability.

C language functions are the basis for code modularization and program building. They consist of declarations (function headers) and definitions (function bodies). C language uses values to pass parameters by default, but external variables can also be modified using address pass. Functions can have or have no return value, and the return value type must be consistent with the declaration. Function naming should be clear and easy to understand, using camel or underscore nomenclature. Follow the single responsibility principle and keep the function simplicity to improve maintainability and readability.

The article discusses using move semantics in C to enhance performance by avoiding unnecessary copying. It covers implementing move constructors and assignment operators, using std::move, and identifies key scenarios and pitfalls for effective appl

The article discusses dynamic dispatch in C , its performance costs, and optimization strategies. It highlights scenarios where dynamic dispatch impacts performance and compares it with static dispatch, emphasizing trade-offs between performance and

C memory management uses new, delete, and smart pointers. The article discusses manual vs. automated management and how smart pointers prevent memory leaks.
