You are given an integer array nums
and an integer target
.
You want to build an expression out of nums by adding one of the symbols '+'
and '-'
before each integer in nums and then concatenate all the integers.
For example, if nums = [2, 1]
, you can add a '+'
before 2 and a '-'
before 1 and concatenate them to build the expression "+2-1"
.
Return the number of different expressions that you can build, which evaluates to target
.
Input: nums = [1, 1, 1, 1, 1], target = 3
Output: 5
Explanation: There are 5 ways to assign symbols to make the sum of nums be target 3.
-1 + 1 + 1 + 1 + 1 = 3
+1 - 1 + 1 + 1 + 1 = 3
+1 + 1 - 1 + 1 + 1 = 3
+1 + 1 + 1 - 1 + 1 = 3
+1 + 1 + 1 + 1 - 1 = 3
Input: nums = [1], target = 1
Output: 1
Explanation: There is 1 way to assign symbols to make the sum of nums be target 1.
+1 = 1
To solve this problem, we need to:
Apply string manipulation concepts to solve a real-world problem.
You are given an integer array nums
and an integer target
.
You want to build an expression out of nums by adding one of the symbols '+'
and '-'
before each integer in nums and then concatenate all the integers.
For example, if nums = [2, 1]
, you can add a '+'
before 2 and a '-'
before 1 and concatenate them to build the expression "+2-1"
.
Return the number of different expressions that you can build, which evaluates to target
.
There are 5 ways to assign symbols to make the sum of nums be target 3. -1 + 1 + 1 + 1 + 1 = 3 +1 - 1 + 1 + 1 + 1 = 3 +1 + 1 - 1 + 1 + 1 = 3 +1 + 1 + 1 - 1 + 1 = 3 +1 + 1 + 1 + 1 - 1 = 3
There is 1 way to assign symbols to make the sum of nums be target 1. +1 = 1
This problem can be solved using dynamic programming or recursion with memoization.
We can transform this problem into a subset sum problem by observing that we're essentially partitioning the array into two subsets: one with '+' signs and one with '-' signs.
If we denote the sum of the '+' subset as P and the sum of the '-' subset as N, then we have P + N = sum(nums) and P - N = target.
Solving these equations, we get P = (sum(nums) + target) / 2, which means we need to find the number of subsets with sum P.
This problem has several practical applications:
Finding different ways to allocate resources to achieve a specific financial goal.
Determining the number of ways to distribute resources to meet a target requirement.
Analyzing different combinations of signals to achieve a desired output.
You are given an integer array nums
and an integer target
.
You want to build an expression out of nums by adding one of the symbols '+'
and '-'
before each integer in nums and then concatenate all the integers.
For example, if nums = [2, 1]
, you can add a '+'
before 2 and a '-'
before 1 and concatenate them to build the expression "+2-1"
.
Return the number of different expressions that you can build, which evaluates to target
.
Input: nums = [1, 1, 1, 1, 1], target = 3
Output: 5
Explanation: There are 5 ways to assign symbols to make the sum of nums be target 3.
-1 + 1 + 1 + 1 + 1 = 3
+1 - 1 + 1 + 1 + 1 = 3
+1 + 1 - 1 + 1 + 1 = 3
+1 + 1 + 1 - 1 + 1 = 3
+1 + 1 + 1 + 1 - 1 = 3
Input: nums = [1], target = 1
Output: 1
Explanation: There is 1 way to assign symbols to make the sum of nums be target 1.
+1 = 1
To solve this problem, we need to:
Apply string manipulation concepts to solve a real-world problem.
You are given an integer array nums
and an integer target
.
You want to build an expression out of nums by adding one of the symbols '+'
and '-'
before each integer in nums and then concatenate all the integers.
For example, if nums = [2, 1]
, you can add a '+'
before 2 and a '-'
before 1 and concatenate them to build the expression "+2-1"
.
Return the number of different expressions that you can build, which evaluates to target
.
There are 5 ways to assign symbols to make the sum of nums be target 3. -1 + 1 + 1 + 1 + 1 = 3 +1 - 1 + 1 + 1 + 1 = 3 +1 + 1 - 1 + 1 + 1 = 3 +1 + 1 + 1 - 1 + 1 = 3 +1 + 1 + 1 + 1 - 1 = 3
There is 1 way to assign symbols to make the sum of nums be target 1. +1 = 1
This problem can be solved using dynamic programming or recursion with memoization.
We can transform this problem into a subset sum problem by observing that we're essentially partitioning the array into two subsets: one with '+' signs and one with '-' signs.
If we denote the sum of the '+' subset as P and the sum of the '-' subset as N, then we have P + N = sum(nums) and P - N = target.
Solving these equations, we get P = (sum(nums) + target) / 2, which means we need to find the number of subsets with sum P.
This problem has several practical applications:
Finding different ways to allocate resources to achieve a specific financial goal.
Determining the number of ways to distribute resources to meet a target requirement.
Analyzing different combinations of signals to achieve a desired output.