我有一些学生的个人资料,其中包含物理、化学和数学等几个学科的价值观。我需要根据个人在科目上的分数找到一个优势学生的名单。例如:
let students = [{name: "A", phy: 70, chem: 80, math: 90},
{name: "B", phy: 75, chem: 85, math: 60},
{name: "C", phy: 78, chem: 81, math: 92},
{name: "D", phy: 75, chem: 85, math: 55}];
如果一个学生满足以下两个条件,他将优于另一个学生。1. student_1 >= student_2 对于所有参数 2. student_1 > student_2 对于至少一个参数
我试过使用嵌套循环。可能是蛮力算法。我添加了另一个名为“passed”的参数来跟踪它是否优于其他参数。这是代码:
let students = [{ name: "A", phy: 70, chem: 80, math: 90, passed: true },
{ name: "B", phy: 75, chem: 85, math: 60, passed: true },
{ name: "C", phy: 78, chem: 81, math: 92, passed: true },
{ name: "D", phy: 75, chem: 85, math: 55, passed: true }];
let weak_student: any;
for (let student_1 of students) {
if (student_1.passed == false ||
students[students.length] === student_1) {
continue;
}
let compareList = students.filter(i => i.name != student_1.name && i.passed == true);
for (let student_2 of compareList) {
if ((student_1.phy >= student_2.phy &&
student_1.chem >= student_2.chem &&
student_1.math >= student_2.math)
&&
(student_1.phy > student_2.phy ||
student_1.chem > student_2.chem ||
student_1.math > student_2.math)
) {
weak_student = students.find(i => i.name === student_2.name);
weak_student.passed = false;
} else if (student_1.phy < student_2.phy &&
student_1.chem < student_2.chem &&
student_1.math < student_2.math) {
student_1.passed = false;
break;
}
}
}
console.log(students);
我发现预期的结果是学生 A & D 的标志“通过”== false。现在我需要通过使用不同的算法(如分治法、最近邻法、分支定界法等)或任何其他有效方式来获得相同的结果。我需要比较大型数据集的时间和空间复杂度算法。